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Network address translation part 1 – packet tracing

The first post in a series about network address translation (NAT). Part 1 shows how to use the iptables/nftables packet tracing feature to find the source of NAT related connectivity problems.

Introduction

Network address translation is one way to expose containers or virtual machines to the wider internet. Incoming connection requests have their destination address rewritten to a different one. Packets are then routed to a container or virtual machine instead. The same technique can be used for load-balancing where incoming connections get distributed among a pool of machines.

Connection requests fail when network address translation is not working as expected. The wrong service is exposed, connections end up in the wrong container, request time out, and so on. One way to debug such problems is to check that the incoming request matches the expected or configured translation.

Connection tracking

NAT involves more than just changing the ip addresses or port numbers. For instance, when mapping address X to Y, there is no need to add a rule to do the reverse translation. A netfilter system called “conntrack” recognizes packets that are replies to an existing connection. Each connection has its own NAT state attached to it. Reverse translation is done automatically.

Ruleset evaluation tracing

The utility nftables (and, to a lesser extent, iptables) allow for examining how a packet is evaluated and which rules in the ruleset were matched by it. To use this special feature “trace rules” are inserted at a suitable location. These rules select the packet(s) that should be traced. Lets assume that a host coming from IP address C is trying to reach the service on address S and port P. We want to know which NAT transformation is picked up, which rules get checked and if the packet gets dropped somewhere.

Because we are dealing with incoming connections, add a rule to the prerouting hook point. Prerouting means that the kernel has not yet made a decision on where the packet will be sent to. A change to the destination address often results in packets to get forwarded rather than being handled by the host itself.

Initial setup

 
# nft 'add table inet trace_debug'
# nft 'add chain inet trace_debug trace_pre { type filter hook prerouting priority -200000; }'
# nft "insert rule inet trace_debug trace_pre ip saddr $C ip daddr $S tcp dport $P tcp flags syn limit rate 1/second meta nftrace set 1"

The first rule adds a new table This allows easier removal of the trace and debug rules later. A single “nft delete table inet trace_debug” will be enough to undo all rules and chains added to the temporary table during debugging.

The second rule creates a base hook before routing decisions have been made (prerouting) and with a negative priority value to make sure it will be evaluated before connection tracking and the NAT rules.

The only important part, however, is the last fragment of the third rule: “meta nftrace set 1″. This enables tracing events for all packets that match the rule. Be as specific as possible to get a good signal-to-noise ratio. Consider adding a rate limit to keep the number of trace events at a manageable level. A limit of one packet per second or per minute is a good choice. The provided example traces all syn and syn/ack packets coming from host $C and going to destination port $P on the destination host $S. The limit clause prevents event flooding. In most cases a trace of a single packet is enough.

The procedure is similar for iptables users. An equivalent trace rule looks like this:

 
# iptables -t raw -I PREROUTING -s $C -d $S -p tcp --tcp-flags SYN SYN  --dport $P  -m limit --limit 1/s -j TRACE

Obtaining trace events

Users of the native nft tool can just run the nft trace mode:

 
# nft monitor trace

This prints out the received packet and all rules that match the packet (use CTRL-C to stop it):

 
trace id f0f627 ip raw prerouting  packet: iif "veth0" ether saddr ..

We will examine this in more detail in the next section. If you use iptables, first check the installed version via the “iptables –version” command. Example:

 
# iptables --version
iptables v1.8.5 (legacy)

(legacy) means that trace events are logged to the kernel ring buffer. You will need to check dmesg or journalctl. The debug output lacks some information but is conceptually similar to the one provided by the new tools. You will need to check the rule line numbers that are logged and correlate those to the active iptables ruleset yourself. If the output shows (nf_tables), you can use the xtables-monitor tool:

 
# xtables-monitor --trace

If the command only shows the version, you will also need to look at dmesg/journalctl instead. xtables-monitor uses the same kernel interface as the nft monitor trace tool. Their only difference is that it will print events in iptables syntax and that, if you use a mix of both iptables-nft and nft, it will be unable to print rules that use maps/sets and other nftables-only features.

Example

Lets assume you’d like to debug a non-working port forward to a virtual machine or container. The command “ssh -p 1222 10.1.2.3” should provide remote access to a container running on the machine with that address, but the connection attempt times out.

You have access to the host running the container image. Log in and add a trace rule. See the earlier example on how to add a temporary debug table. The trace rule looks like this:

 
nft "insert rule inet trace_debug trace_pre ip daddr 10.1.2.3 tcp dport 1222 tcp flags syn limit rate 6/minute meta nftrace set 1"

After the rule has been added, start nft in trace mode: nft monitor trace, then retry the failed ssh command. This will generate a lot of output if the ruleset is large. Do not worry about the large example output below – the next section will do a line-by-line walkthrough.

 
trace id 9c01f8 inet trace_debug trace_pre packet: iif "enp0" ether saddr .. ip saddr 10.2.1.2 ip daddr 10.1.2.3 ip protocol tcp tcp dport 1222 tcp flags == syn
trace id 9c01f8 inet trace_debug trace_pre rule ip daddr 10.2.1.2 tcp dport 1222 tcp flags syn limit rate 6/minute meta nftrace set 1 (verdict continue)
trace id 9c01f8 inet trace_debug trace_pre verdict continue
trace id 9c01f8 inet trace_debug trace_pre policy accept
trace id 9c01f8 inet nat prerouting packet: iif "enp0" ether saddr .. ip saddr 10.2.1.2 ip daddr 10.1.2.3 ip protocol tcp  tcp dport 1222 tcp flags == syn
trace id 9c01f8 inet nat prerouting rule ip daddr 10.1.2.3  tcp dport 1222 dnat ip to 192.168.70.10:22 (verdict accept)
trace id 9c01f8 inet filter forward packet: iif "enp0" oif "veth21" ether saddr .. ip daddr 192.168.70.10 .. tcp dport 22 tcp flags == syn tcp window 29200
trace id 9c01f8 inet filter forward rule ct status dnat jump allowed_dnats (verdict jump allowed_dnats)
trace id 9c01f8 inet filter allowed_dnats rule drop (verdict drop)
trace id 20a4ef inet trace_debug trace_pre packet: iif "enp0" ether saddr .. ip saddr 10.2.1.2 ip daddr 10.1.2.3 ip protocol tcp tcp dport 1222 tcp flags == syn

Line-by-line trace walkthrough

The first line generated is the packet id that triggered the subsequent trace output. Even though this is in the same grammar as the nft rule syntax, it contains header fields of the packet that was just received. You will find the name of the receiving network interface (here named “enp0”) the source and destination mac addresses of the packet, the source ip address (can be important – maybe the reporter is connecting from a wrong/unexpected host) and the tcp source and destination ports. You will also see a “trace id” at the very beginning. This identification tells which incoming packet matched a rule. The second line contains the first rule matched by the packet:

 
trace id 9c01f8 inet trace_debug trace_pre rule ip daddr 10.2.1.2 tcp dport 1222 tcp flags syn limit rate 6/minute meta nftrace set 1 (verdict continue)

This is the just-added trace rule. The first rule is always one that activates packet tracing. If there would be other rules before this, we would not see them. If there is no trace output at all, the trace rule itself is never reached or does not match. The next two lines tell that there are no further rules and that the “trace_pre” hook allows the packet to continue (verdict accept).

The next matching rule is

 
trace id 9c01f8 inet nat prerouting rule ip daddr 10.1.2.3  tcp dport 1222 dnat ip to 192.168.70.10:22 (verdict accept)

This rule sets up a mapping to a different address and port. Provided 192.168.70.10 really is the address of the desired VM, there is no problem so far. If its not the correct VM address, the address was either mistyped or the wrong NAT rule was matched.

IP forwarding

Next we can see that the IP routing engine told the IP stack that the packet needs to be forwarded to another host:

trace id 9c01f8 inet filter forward packet: iif "enp0" oif "veth21" ether saddr .. ip daddr 192.168.70.10 .. tcp dport 22 tcp flags == syn tcp window 29200

This is another dump of the packet that was received, but there are a couple of interesting changes. There is now an output interface set. This did not exist previously because the previous rules are located before the routing decision (the prerouting hook). The id is the same as before, so this is still the same packet, but the address and port has already been altered. In case there are rules that match “tcp dport 1222” they will have no effect anymore on this packet.

If the line contains no output interface (oif), the routing decision steered the packet to the local host. Route debugging is a different topic and not covered here.

trace id 9c01f8 inet filter forward rule ct status dnat jump allowed_dnats (verdict jump allowed_dnats)

This tells that the packet matched a rule that jumps to a chain named “allowed_dnats”. The next line shows the source of the connection failure:

 
trace id 9c01f8 inet filter allowed_dnats rule drop (verdict drop)

The rule unconditionally drops the packet, so no further log output for the packet exists. The next output line is the result of a different packet:

trace id 20a4ef inet trace_debug trace_pre packet: iif "enp0" ether saddr .. ip saddr 10.2.1.2 ip daddr 10.1.2.3 ip protocol tcp tcp dport 1222 tcp flags == syn

The trace id is different, the packet however has the same content. This is a retransmit attempt: The first packet was dropped, so TCP re-tries. Ignore the remaining output, it does not contain new information. Time to inspect that chain.

Ruleset investigation

The previous section found that the packet is dropped in a chain named “allowed_dnats” in the inet filter table. Time to look at it:

 
# nft list chain inet filter allowed_dnats
table inet filter {
 chain allowed_dnats {
  meta nfproto ipv4 ip daddr . tcp dport @allow_in accept
  drop
   }
}

The rule that accepts packets in the @allow_in set did not show up in the trace log. Double-check that the address is in the @allow_set by listing the element:

 
# nft "get element inet filter allow_in { 192.168.70.10 . 22 }"
Error: Could not process rule: No such file or directory

As expected, the address-service pair is not in the set. We add it now.

 
# nft "add element inet filter allow_in { 192.168.70.10 . 22 }"

Run the query command now, it will return the newly added element.

# nft "get element inet filter allow_in { 192.168.70.10 . 22 }"
table inet filter { set allow_in { type ipv4_addr . inet_service elements = { 192.168.70.10 . 22 } }
}

The ssh command should now work and the trace output reflects the change:

trace id 497abf58 inet filter forward rule ct status dnat jump allowed_dnats (verdict jump allowed_dnats)
trace id 497abf58 inet filter allowed_dnats rule meta nfproto ipv4 ip daddr . tcp dport @allow_in accept (verdict accept)
trace id 497abf58 ip postrouting packet: iif "enp0" oif "veth21" ether .. trace id 497abf58 ip postrouting policy accept

This shows the packet passes the last hook in the forwarding path – postrouting.

In case the connect is still not working, the problem is somewhere later in the packet pipeline and outside of the nftables ruleset.

Summary

This Article gave an introduction on how to check for packet drops and other sources of connectivity problems with the nftables trace mechanism. A later post in the series shows how to inspect the connection tracking subsystem and the NAT information that may be attached to tracked flows.

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A 2020 love letter to the Fedora community

[This message comes directly from the desk of Matthew Miller, the Fedora Project Leader. — Ed.]

When I wrote about COVID-19 and the Fedora community all the way back on March 16, it was very unclear how 2020 was going to turn out. I hoped that we’d have everything under control and return to normal soon—we didn’t take our Flock to Fedora in-person conference off the table for another month. Back then, I naively hoped that this would be a short event and that life would return to normal soon. But of course, things got worse, and we had to reimagine Flock as a virtual event on short notice. We weren’t even sure if we’d be able to make our regular Fedora Linux releases on schedule.

Even without the pandemic, 2020 was already destined to be an interesting year. Because Red Hat moved the datacenter where most of Fedora’s servers live, our infrastructure team had to move our servers across the continent. Fedora 33 had the largest planned change set of any Fedora Linux release—and not small things either. We changed the default filesystem for desktop variants to BTRFS and promoted Fedora IoT to an Edition. We also began Fedora ELN—a new process which does a nightly build of Fedora’s development branch in the same configuration Red Hat would use to compose Red Hat Enterprise Linux. And Fedora’s popularity keeps growing, which means more users to support and more new community members to onboard. It’s great to be successful, but we also need to keep up with ourselves!

So, it was already busy. And then the pandemic came along. In many ways, we’re fortunate: we’re already a global community used to distributed work, and we already use chat-based meetings and video calls to collaborate. But it made the datacenter move more difficult. The closure of Red Hat offices meant that some of the QA hardware was inaccessible. We couldn’t gather together in person like we’re used to doing. And of course, we all worried about the safety of our friends and family. Isolation and disruption just plain make everything harder.

I’m always proud of the Fedora community, but this year, even more so. In a time of great stress and uncertainty, we came together and did our best work. Flock to Fedora became Nest With Fedora. Thanks to the heroic effort of Marie Nordin and many others, it was a resounding success. We had way more attendees than we’ve ever had at an in-person Flock, which made our community more accessible to contributors who can’t always join us. And we followed up with our first-ever virtual release party and an online Fedora Women’s Day, both also resounding successes.

And then, we shipped both Fedora 32 and Fedora 33 on time, extending our streak to six releases—three straight years of hitting our targets.

The work we all did has not gone unnoticed. You already know that Lenovo is shipping Fedora Workstation on select laptop models. I’m happy to share that two of the top Linux podcasts have recognized our work—particularly Fedora 33—in their year-end awards. LINUX Unplugged listeners voted Fedora Linux their favorite Linux desktop distribution. Three out of the four Destination Linux hosts chose Fedora as the best distro of the year, specifically citing the exciting work we’ve done on Fedora 33 and the strength of our community. In addition, OMG! Ubuntu! included Fedora 33 in its “5 best Linux distribution releases of 2020” and TechRepublic called Fedora 33 “absolutely fantastic“.

Like everyone, I’m looking ahead to 2021. The next few months are still going to be hard, but the amazing work on mRNA and other new vaccine technology means we have clear reasons to be optimistic. Through this trying year, the Fedora community is stronger than ever, and we have some great things to carry forward into better times: a Nest-like virtual event to compliment Flock, online release parties, our weekly Fedora Social Hour, and of course the CPE team’s great trivia events.

In 2021, we’ll keep doing the great work to push the state of the art forward. We’ll be bold in bringing new features into Fedora Linux. We’ll try new things even when we’re worried that they might not work, and we’ll learn from failures and try again. And we’ll keep working to make our community and our platform inclusive, welcoming, and accessible to all.

To everyone who has contributed to Fedora in any way, thank you. Packagers, blog writers, doc writers, testers, designers, artists, developers, meeting chairs, sysadmins, Ask Fedora answerers, D&I team, and more—you kicked ass this year and it shows. Stay safe and healthy, and we’ll meet again in person soon.Oh, one more thing! Join us for a Fedora Social Hour New Year’s Eve Special. We’ll meet at 23:30 UTC today in Hopin (the platform we used for Nest and other events). Hope to see you there!

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Choose between Btrfs and LVM-ext4

Fedora 33 introduced a new default filesystem in desktop variants, Btrfs. After years of Fedora using ext4 on top of Logical Volume Manager (LVM) volumes, this is a big shift. Changing the default file system requires compelling reasons. While Btrfs is an exciting next-generation file system, ext4 on LVM is well established and stable. This guide aims to explore the high-level features of each and make it easier to choose between Btrfs and LVM-ext4.

In summary

The simplest advice is to stick with the defaults. A fresh Fedora 33 install defaults to Btrfs and upgrading a previous Fedora release continues to use whatever was initially installed, typically LVM-ext4. For an existing Fedora user, the cleanest way to get Btrfs is with a fresh install. However, a fresh install is much more disruptive than a simple upgrade. Unless there is a specific need, this disruption could be unnecessary. The Fedora development team carefully considered both defaults, so be confident with either choice.

What about all the other file systems?

There are a large number of file systems for Linux systems. The number explodes after adding in combinations of volume managers, encryption methods, and storage mechanisms . So why focus on Btrfs and LVM-ext4? For the Fedora audience these two setups are likely to be the most common. Ext4 on top of LVM became the default disk layout in Fedora 11, and ext3 on top of LVM came before that.

Now that Btrfs is the default for Fedora 33, the vast majority of existing users will be looking at whether they should stay where they are or make the jump forward. Faced with a fresh Fedora 33 install, experienced Linux users may wonder whether to use this new file system or fall back to what they are familiar with. So out of the wide field of possible storage options, many Fedora users will wonder how to choose between Btrfs and LVM-ext4.

Commonalities

Despite core differences between the two setups, Btrfs and LVM-ext4 actually have a lot in common. Both are mature and well-tested storage technologies. LVM has been in continuous use since the early days of Fedora Core and ext4 became the default in 2009 with Fedora 11. Btrfs merged into the mainline Linux kernel in 2009 and Facebook uses it widely. SUSE Linux Enterprise 12 made it the default in 2014. So there is plenty of production run time there as well.

Both systems do a great job preventing file system corruption due to unexpected power outages, even though the way they accomplish it is different. Supported configurations include single drive setups as well as spanning multiple devices, and both are capable of creating nearly instant snapshots. A variety of tools exist to help manage either system, both with the command line and graphical interfaces. Either solution works equally well on home desktops and on high-end servers.

Advantages of LVM-ext4

Show the relationship of LVM-ext4 filesystem to hard-drive partitions and mounted directories.
Structure of ext4 on LVM

The ext4 file system focuses on high-performance and scalability, without a lot of extra frills. It is effective at preventing fragmentation over extended periods of time and provides nice tools for when it does happen. Ext4 is rock solid because it built on the previous ext3 file system, bringing with it all the years of in-system testing and bug fixes.

Most of the advanced capabilities in the LVM-ext4 setup come from LVM itself. LVM sits “below” the file system, which means it supports any file system. Logical volumes (LV) are generic block devices so virtual machines can use them directly. This flexibility allows each logical volume to use the right file system, with the right options, for a variety of situations. This layered approach also honors the Unix philosophy of small tools working together.

The volume group (VG) abstraction from the hardware allows LVM to create flexible logical volumes. Each LV pulls from the same storage pool but has its own configuration. Resizing volumes is a lot easier than resizing physical partitions as there are no limitation of ordered placement of the data. LVM physical volumes (PV) can be any number of partitions and can even move between devices while the system is running.

LVM supports read-only and read-write snapshots, which make it easy to create consistent backups from active systems. Each snapshot has a defined size, and a change to the source or snapshot volume use space from there. Alternately, logical volumes can also be part of a thinly provisioned pool. This allows snapshots to automatically use data from a pool instead of consuming fixed sized chunks defined at volume creation.

Multiple devices with LVM

LVM really shines when there are multiple devices. It has native support for most RAID levels and each logical volume can have a different RAID level. LVM will automatically choose appropriate physical devices for the RAID configuration or the user can specify it directly. Basic RAID support includes data striping for performance (RAID0) and mirroring for redundancy (RAID1). Logical volumes can also use advanced setups like RAID5, RAID6, and RAID10. LVM RAID support is mature because under the hood LVM uses the same device-mapper (dm) and multiple-device (md) kernel support used by mdadm.

Logical volumes can also be cached volumes for systems with both fast and slow drives. A classic example is a combination of SSD and spinning-disk drives. Cached volumes use faster drives for more frequently accessed data (or as a write cache), and the slower drive for bulk data.

The large number of stable features in LVM and the reliable performance of ext4 are a testament to how long they have been in use. Of course, with more features comes complexity. It can be challenging to find the right options for the right feature when configuring LVM. For single drive desktop systems, features of LVM like RAID and cache volumes don’t apply. However, logical volumes are more flexible than physical partitions and snapshots are useful. For normal desktop use, the complexity of LVM can also be a barrier to recovering from issues a typical user might encounter.

Advantages of Btrfs

Show the relationship of Btrfs filesystem to hard-drive partitions and mounted directories.
Btrfs Structure

Lessons learned from previous generations guided the features built into Btrfs. Unlike ext4, it can directly span multiple devices, so it brings along features typically found only in volume managers. It also has features that are unique in the Linux file system space (ZFS has a similar feature set, but don’t expect it in the Linux kernel).

Key Btrfs features

Perhaps the most important feature is the checksumming of all data. Checksumming, along with copy-on-write, provides the key method of ensuring file system integrity after unexpected power loss. More uniquely, checksumming can detect errors in the data itself. Silent data corruption, sometimes referred to as bitrot, is more common that most people realize. Without active validation, corruption can end up propagating to all available backups. This leaves the user with no valid copies. By transparently checksumming all data, Btrfs is able to immediately detect any such corruption. Enabling the right dup or raid option allows the file system to transparently fix the corruption as well.

Copy-on-write (COW) is also a fundamental feature of Btrfs, as it is critical in providing file system integrity and instant subvolume snapshots. Snapshots automatically share underlying data when created from common subvolumes. Additionally, after-the-fact deduplication uses the same technology to eliminate identical data blocks. Individual files can use COW features by calling cp with the reflink option. Reflink copies are especially useful for copying large files, such as virtual machine images, that tend to have mostly identical data over time.

Btrfs supports spanning multiple devices with no volume manager required. Multiple device support unlocks data mirroring for redundancy and striping for performance. There is also experimental support for more advanced RAID levels, such as RAID5 and RAID6. Unlike standard RAID setups, the Btrfs raid1 option actually allows an odd number of devices. For example, it can use 3 devices, even if they are are different sizes.

All RAID and dup options are specified at the file system level. As a consequence, individual subvolumes cannot use different options. Note that using the RAID1 option with multiple devices means that all data in the volume is available even if one device fails and the checksum feature maintains the integrity of the data itself. That is beyond what current typical RAID setups can provide.

Additional features

Btrfs also enables quick and easy remote backups. Subvolume snapshots can be sent to a remote system for storage. By leveraging the inherent COW meta-data in the file system, these transfers are efficient by only sending incremental changes from previously sent snapshots. User applications such as snapper make it easy to manage these snapshots.

Additionally, a Btrfs volume can have transparent compression and chattr +c will mark individual files or directories for compression. Not only does compression reduce the space consumed by data, but it helps extend the life of SSDs by reducing the volume of write operations. Compression certainly introduces additional CPU overhead, but a lot of options are available to dial in the right trade-offs.

The integration of file system and volume manager functions by Btrfs means that overall maintenance is simpler than LVM-ext4. Certainly this integration comes with less flexibility, but for most desktop, and even server, setups it is more than sufficient.

Btrfs on LVM

Btrfs can convert an ext3/ext4 file system in place. In-place conversion means no data to copy out and then back in. The data blocks themselves are not even modified. As a result, one option for an existing LVM-ext4 systems is to leave LVM in place and simply convert ext4 over to Btrfs. While doable and supported, there are reasons why this isn’t the best option.

Some of the appeal of Btrfs is the easier management that comes with a file system integrated with a volume manager. By running on top of LVM, there is still some other volume manager in play for any system maintenance. Also, LVM setups typically have multiple fixed sized logical volumes with independent file systems. While Btrfs supports multiple volumes in a given computer, many of the nice features expect a single volume with multiple subvolumes. The user is still stuck manually managing fixed sized LVM volumes if each one has an independent Btrfs volume. Though, the ability to shrink mounted Btrfs filesystems does make working with fixed sized volumes less painful. With online shrink there is no need to boot a live image.

The physical locations of logical volumes must be carefully considered when using the multiple device support of Btrfs. To Btrfs, each LV is a separate physical device and if that is not actually the case, then certain data availability features might make the wrong decision. For example, using raid1 for data typically provides protection if a single drive fails. If the actual logical volumes are on the same physical device, then there is no redundancy.

If there is a strong need for some particular LVM feature, such as raw block devices or cached logical volumes, then running Btrfs on top of LVM makes sense. In this configuration, Btrfs still provides most of its advantages such as checksumming and easy sending of incremental snapshots. While LVM has some operational overhead when used, it is no more so with Btrfs than with any other file system.

Wrap up

When trying to choose between Btrfs and LVM-ext4 there is no single right answer. Each user has unique requirements, and the same user may have different systems with different needs. Take a look at the feature set of each configuration, and decide if there is something compelling about one over the other. If not, there is nothing wrong with sticking with the defaults. There are excellent reasons to choose either setup.

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Contribute at the Fedora Test Week for Kernel 5.10

The kernel team is working on final integration for kernel 5.10. This version was just recently released, and will arrive soon in Fedora. As a result, the Fedora kernel and QA teams have organized a test week from Monday, January 04, 2021 through Monday, January 11, 2021. Refer to the wiki page for links to the test images you’ll need to participate. Read below for details.

How does a test week work?

A test week is an event where anyone can help make sure changes in Fedora work well in an upcoming release. Fedora community members often participate, and the public is welcome at these events. If you’ve never contributed before, this is a perfect way to get started.

To contribute, you only need to be able to do the following things:

  • Download test materials, which include some large files
  • Read and follow directions step by step

The wiki page for the kernel test day has a lot of good information on what and how to test. After you’ve done some testing, you can log your results in the test day web application. If you’re available on or around the day of the event, please do some testing and report your results. We have a document which provides all the steps written.

Happy testing, and we hope to see you on test day.

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Deploy Fedora CoreOS servers with Terraform

Fedora CoreOS is a lightweight, secure operating system optimized for running containerized workloads. A YAML document is all you need to describe the workload you’d like to run on a Fedora CoreOS server.

This is wonderful for a single server, but how would you describe a fleet of cooperating Fedora CoreOS servers? For example, what if you wanted a set of servers running load balancers, others running a database cluster and others running a web application? How can you get them all configured and provisioned? How can you configure them to communicate with each other? This article looks at how Terraform solves this problem.

Getting started

Before you start, decide whether you need to review the basics of Fedora CoreOS. Check out this previous article on the Fedora Magazine:

Terraform is an open source tool for defining and provisioning infrastructure. Terraform defines infrastructure as code in files. It provisions infrastructure by calculating the difference between the desired state in code and observed state and applying changes to remove the difference.

HashiCorp, the company that created and maintains Terraform, offers an RPM repository to install Terraform.

sudo dnf config-manager --add-repo \ https://rpm.releases.hashicorp.com/fedora/hashicorp.repo
sudo dnf install terraform

To get yourself familiar with the tools, start with a simple example. You’re going to create a single Fedora CoreOS server in AWS. To follow along, you need to install awscli and have an AWS account. awscli can be installed from the Fedora repositories and configured using the aws configure command

sudo dnf install -y awscli
aws configure

Please note, AWS is a paid service. If executed correctly, participants should expect less than $1 USD in charges, but mistakes may lead to unexpected charges.

Configuring Terraform

In a new directory, create a file named config.yaml. This file will hold the contents of your Fedore CoreOS configuration. The configuration simply adds an SSH key for the core user. Modify the authorized_ssh_key section to use your own.

variant: fcos
version: 1.2.0
passwd: users: - name: core authorized_ssh_keys: - "ssh-ed25519 AAAAC3....... user@hostname"

Next, create a file main.tf to contain your Terraform specification. Take a look at the contents section by section. It begins with a block to specify the versions of your providers.

terraform { required_providers { ct = { source = "poseidon/ct" version = "0.7.1" } aws = { source = "hashicorp/aws" version = "~> 3.0" } }
}

Terraform uses providers to control infrastructure. Here it uses the AWS provider to provision EC2 servers, but it can provision any kind of AWS infrastructure. The ct provider from Poseidon Labs stands for config transpiler. This provider will transpile Fedora CoreOS configurations into Ignition configurations. As a result, you do not need to use fcct to transpile your configurations. Now that your provider versions are specified, initialize them.

provider "aws" { region = "us-west-2"
} provider "ct" {}

The AWS region is set to us-west-2 and the ct provider requires no configuration. With the providers configured, you’re ready to define some infrastructure. Use a data source block to read the configuration.

data "ct_config" "config" { content = file("config.yaml") strict = true
}

With this data block defined, you can now access the transpiled Ignition output as data.ct_config.config.rendered. To create an EC2 server, use a resource block, and pass the Ignition output as the user_data attribute.

resource "aws_instance" "server" { ami = "ami-0699a4456969d8650" instance_type = "t3.micro" user_data = data.ct_config.config.rendered
}

This configuration hard-codes the virtual machine image (AMI) to the latest stable image of Fedora CoreOS in the us-west-2 region at time of writing. If you would like to use a different region or stream, you can discover the correct AMI on the Fedora CoreOS downloads page.

Finally, you’d like to know the public IP address of the server once it’s created. Use an output block to define the outputs to be displayed once Terraform completes its provisioning.

output "instance_ip_addr" { value = aws_instance.server.public_ip
}

Alright! You’re ready to create some infrastructure. To deploy the server simply run:

terraform init # Installs the provider dependencies
terraform apply # Displays the proposed changes and applies them

Once completed, Terraform prints the public IP address of the server, and you can SSH to the server by running ssh core@{public ip here}. Congratulations — you’ve provisioned your first Fedora CoreOS server using Terraform!

Updates and immutability

At this point you can modify the configuration in config.yaml however you like. To deploy your change simply run terraform apply again. Notice that each time you change the configuration, when you run terraform apply it destroys the server and creates a new one. This aligns well with the Fedora CoreOS philosophy: Configuration can only happen once. Want to change that configuration? Create a new server. This can feel pretty alien if you’re accustomed to provisioning your servers once and continuously re-configuring them with tools like Ansible, Puppet or Chef.

The benefit of always creating new servers is that it is significantly easier to test that newly provisioned servers will act as expected. It can be much more difficult to account for all of the possible ways in which updating a system in place may break. Tooling that adheres to this philosophy typically falls under the heading of Immutable Infrastructure. This approach to infrastructure has some of the same benefits seen in functional programming techniques, namely that mutable state is often a source of error.

Using variables

You can use Terraform input variables to parameterize your infrastructure. In the previous example, you might like to parameterize the AWS region or instance type. This would let you deploy several instances of the same configuration with differing parameters. What if you want to parameterize the Fedora CoreOS configuration? Do so using the templatefile function.

As an example, try parameterizing the username of your user. To do this, add a username variable to the main.tf file:

variable "username" { type = string description = "Fedora CoreOS user" default = "core"
}

Next, modify the config.yaml file to turn it into a template. When rendered, the ${username} will be replaced.

variant: fcos
version: 1.2.0
passwd: users: - name: ${username} authorized_ssh_keys: - "ssh-ed25519 AAAAC3....... user@hostname"

Finally, modify the data block to render the template using the templatefile function.

data "ct_config" "config" { content = templatefile( "config.yaml", { username = var.username } ) strict = true
}

To deploy with username set to jane, run terraform apply -var=”username=jane”. To verify, try to SSH into the server with ssh jane@{public ip address}.

Leveraging the dependency graph

Passing variables from Terraform into Fedora CoreOS configuration is quite useful. But you can go one step further and pass infrastructure data into the server configuration. This is where Terraform and Fedora CoreOS start to really shine.

Terraform creates a dependency graph to model the state of infrastructure and to plan updates. If the output of one resource (e.g the public IP address of a server) is passed as the input of another service (e.g the destination in a firewall rule), Terraform understands that changes in the former require recreating or modifying the later. If you pass infrastructure data into a Fedora CoreOS configuration, it will participate in the dependency graph. Updates to the inputs will trigger creation of a new server with the new configuration.

Consider a system of one load balancer and three web servers as an example.

The goal is to configure the load balancer with the IP address of each web server so that it can forward traffic to them.

Web server configuration

First, create a file web.yaml and add a simple Nginx configuration with a templated message.

variant: fcos
version: 1.2.0
systemd: units: - name: nginx.service enabled: true contents: | [Unit] Description=Nginx Web Server After=network-online.target Wants=network-online.target [Service] ExecStartPre=-/bin/podman kill nginx ExecStartPre=-/bin/podman rm nginx ExecStartPre=/bin/podman pull nginx ExecStart=/bin/podman run --name nginx -p 80:80 -v /etc/nginx/index.html:/usr/share/nginx/html/index.html:z nginx [Install] WantedBy=multi-user.target
storage: directories: - path: /etc/nginx files: - path: /etc/nginx/index.html mode: 0444 contents: inline: | <html> <h1>Hello from Server ${count}</h1> </html>

In main.tf, you can create three web servers using this template with the following blocks:

data "ct_config" "web" { count = 3 content = templatefile( "web.yaml", { count = count.index } ) strict = true
} resource "aws_instance" "web" { count = 3 ami = "ami-0699a4456969d8650" instance_type = "t3.micro" user_data = data.ct_config.web[count.index].rendered
}

Notice the use of count = 3 and the count.index variable. You can use count to make many copies of a resource. Here, it creates three configurations and three web servers. The count.index variable is used to pass the first configuration to the first web server and so on.

Load balancer configuration

The load balancer will be a basic HAProxy load balancer that forwards to each server. Place the configuration in a file named lb.yaml:

variant: fcos
version: 1.2.0
systemd: units: - name: haproxy.service enabled: true contents: | [Unit] Description=Haproxy Load Balancer After=network-online.target Wants=network-online.target [Service] ExecStartPre=-/bin/podman kill haproxy ExecStartPre=-/bin/podman rm haproxy ExecStartPre=/bin/podman pull haproxy ExecStart=/bin/podman run --name haproxy -p 80:8080 -v /etc/haproxy/haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg:ro haproxy [Install] WantedBy=multi-user.target
storage: directories: - path: /etc/haproxy files: - path: /etc/haproxy/haproxy.cfg mode: 0444 contents: inline: | global log stdout format raw local0 defaults mode tcp log global option tcplog frontend http bind *:8080 default_backend http backend http balance roundrobin
%{ for name, addr in servers ~} server ${name} ${addr}:80 check
%{ endfor ~}

The template expects a map with server names as keys and IP addresses as values. You can create that using the zipmap function. Use the ID of the web servers as keys and the public IP addresses as values.

data "ct_config" "lb" { content = templatefile( "lb.yaml", { servers = zipmap( aws_instance.web.*.id, aws_instance.web.*.public_ip ) } ) strict = true
} resource "aws_instance" "lb" { ami = "ami-0699a4456969d8650" instance_type = "t3.micro user_data = data.ct_config.lb.rendered
}

Finally, add an output block to display the IP address of the load balancer.

output "load_balancer_ip" { value = aws_instance.lb.public_ip
}

All right! Run terraform apply and the IP address of the load balancer displays on completion. You should be able to make requests to the load balancer and get responses from each web server.

$ export LB={{load balancer IP here}}
$ curl $LB
<html> <h1>Hello from Server 0</h1>
</html>
$ curl $LB
<html> <h1>Hello from Server 1</h1>
</html>
$ curl $LB
<html> <h1>Hello from Server 2</h1>
</html>

Now you can modify the configuration of the web servers or load balancer. Any changes can be realized by running terraform apply once again. Note in particular that any change to the web server IP addresses will cause Terraform to recreate the load balancer (changing the count from 3 to 4 is a simple test). Hopefully this emphasizes that the load balancer configuration is indeed a part of the Terraform dependency graph.

Clean up

You can destroy all the infrastructure using the terraform destroy command. Simply navigate to the folder where you created main.tf and run terraform destroy.

Where next?

Code for this tutorial can be found at this GitHub repository. Feel free to play with examples and contribute more if you find something you’d love to share with the world. To learn more about all the amazing things Fedora CoreOS can do, dive into the docs or come chat with the community. To learn more about Terraform, you can rummage through the docs, checkout #terraform on freenode, or contribute on GitHub.

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4 cool new projects to try in COPR from December 2020

COPR is a collection of personal repositories for software that isn’t carried in Fedora. Some software doesn’t conform to standards that allow easy packaging. Or it may not meet other Fedora standards, despite being free and open-source. COPR can offer these projects outside the Fedora set of packages. Software in COPR isn’t supported by Fedora infrastructure or signed by the project. However, it can be a neat way to try new or experimental software.

This article presents a few new and interesting projects in COPR. If you’re new to using COPR, see the COPR User Documentation for how to get started.

Blanket

Blanket is an application for playing background sounds, which may potentially improve your focus and increase your productivity. Alternatively, it may help you relax and fall asleep in a noisy environment. No matter what time it is or where you are, Blanket allows you to wake up while birds are chirping, work surrounded by friendly coffee shop chatter or distant city traffic, and then sleep like a log next to a fireplace while it is raining outside. Other popular choices for background sounds such as pink and white noise are also available.

Blanket

Installation instructions

The repo currently provides Blanket for Fedora 32 and 33. To install it, use these commands:

sudo dnf copr enable tuxino/blanket
sudo dnf install blanket

k9s

k9s is a command-line tool for managing Kubernetes clusters. It allows you to list and interact with running pods, read their logs, dig through used resources, and overall make the Kubernetes life easier. With its extensibility through plugins and customizable UI, k9s is welcoming to power-users.

k9s

For many more preview screenshots, please see the project page.

Installation instructions

The repo currently provides k9s for Fedora 32, 33, and Fedora Rawhide as well as EPEL 7, 8, Centos Stream, and others. To install it, use these commands:

sudo dnf copr enable luminoso/k9s
sudo dnf install k9s

rhbzquery

rhbzquery is a simple tool for querying the Fedora Bugzilla instance. It provides an interface for specifying the search query but it doesn’t list results in the command-line. Instead, rhbzquery generates a Bugzilla URL and opens it in a web browser.

rhbzquery

Installation instructions

The repo currently provides rhbzquery for Fedora 32, 33, and Fedora Rawhide. To install it, use these commands:

sudo dnf copr enable petersen/rhbzquery
sudo dnf install rhbzquery

gping

gping is a more visually intriguing alternative to the standard ping command, as it shows results in a graph. It is also possible to ping multiple hosts at the same time to easily compare their response times.

gping

Installation instructions

The repo currently provides gping for Fedora 32, 33, and Fedora Rawhide as well as for EPEL 7 and 8. To install it, use these commands:

sudo dnf copr enable atim/gping
sudo dnf install gping
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Using pods with Podman on Fedora

This article shows the reader how easy it is to get started using pods with Podman on Fedora. But what is Podman? Well, we will start by saying that Podman is a container engine developed by Red Hat, and yes, if you thought about Docker when reading container engine, you are on the right track. A whole new revolution of containerization started with Docker, and Kubernetes added the concept of pods in the area of container orchestration when dealing with containers that share some common resources. But hold on! Do you really think it is worth sticking with Docker alone by assuming it’s the only effective way of containerization? Podman can also manage pods on Fedora as well as the containers used in those pods.

Podman is a daemonless, open source, Linux native tool designed to make it easy to find, run, build, share and deploy applications using Open Containers Initiative (OCI) Containers and Container Images.

From the official Podman documentation at http://docs.podman.io/en/latest/

Why should we switch to Podman?

Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. Podman directly interacts with an image registry, containers and image storage.

Install Podman:

sudo dnf -y install podman

Creating a Pod:

To start using the pod we first need to create it and for that we have a basic command structure

 
$ podman pod create

The command above contains no arguments and hence it will create a pod with a randomly generated name. You might however, want to give your pod a relevant name. For that you just need to modify the above command a bit.

 
$ podman pod create --name climoiselle

The pod will be created and will report back to you the ID of the pod. In the example shown the pod was given the name ‘climoiselle’. To view the newly created pod is easy by using the command shown below:

 
$ podman pod list
Newly created pods have been deployed

As you can see, there are two pods listed here, one named darshna and the one created from the example named climoiselle. No doubt you notice that both pods already include one container, yet we sisn’t deploy a container to the pods yet.
What is that extra container inside the pod? This randomly generated container is an infra container. Every podman pod includes this infra container and in practice these containers do nothing but go to sleep. Their purpose is to hold the namespaces associated with the pod and to allow Podman to connect other containers to the pod. The other purpose of the infra container is to allow the pod to keep running when all associated containers have been stopped.

You can also view the individual containers within a pod with the command:

 
$ podman ps -a --pod

Add a container

The cool thing is, you can add more containers to your newly deployed pod. Always remember the name of your pod. It’s important as you’ll need that name in order to deploy the container in that pod. We’ll use the official ubuntu image and deploy a container using it running the top command.

 
$ podman run -dt --pod climoiselle ubuntu top

Everything in a Single Command:

Podman has an agile characteristic when it comes to deploying a container in a pod which you created. You can create a pod and deploy a container to the said pod with a single command using Podman. Let’s say you want to deploy an NGINX container, exposing external port 8080 to internal port 80 to a new pod named test_server.

 
$ podman run -dt --pod new:test_server -p 8080:80 nginx
Created a new pod and deployed a container together

Let’s check all pods that have been created and the number of containers running in each of them …

 
$ podman pod list
List of the containers, their state and number of containers running into them

Do you want to know a detailed configuration of the pods which are running? Just type in the command shown below:

 
podman pod inspect [pod's name/id]

Make it stop!

To stop the pods, we need to use the name or ID of the pod. With the information from podman’s pod list command, we can view the pods and their infra id. Simply use podman with the command stop and give the particular name/infra id of the pod.

 
$ podman pod stop climoiselle

Hey take a look!

My pod climoiselle stopped

After following this short tutorial, you can see how quickly you can use pods with podman on fedora. It’s an easy and convenient way to use containers that share resources and interact together.

Further reading

The fedora Classrom article https://fedoramagazine.org/fedora-classroom-containers-101-podman/. A good starting point for beginners https://developers.redhat.com/blog/2018/02/22/container-terminology-practical-introduction/. An article on capabilities and podman https://fedoramagazine.org/podman-with-capabilities-on-fedora/. Podman’s documentation site http://docs.podman.io/en/latest/.

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Ben Cotton: How Do You Fedora?

We recently interviewed Ben Cotton on how he uses Fedora. This is part of a series on the Fedora Magazine. The series profiles Fedora users and how they use Fedora to get things done. Contact us on the feedback form to express your interest in becoming an interviewee.

Who is Ben Cotton?

If you follow the Fedora’ Community Blog, there’s a good chance you already know who Ben is. 

Ben’s Linux journey started around late 2002. Frustrated with some issues on using Windows XP, and starting a new application administrator role at his university where some services were being run on FreeBSD. A friend introduced him to Red Hat Linux, when Ben decided it made sense to get more practice with Unix-like operating systems. He switched to Fedora full-time in 2006, after he landed a job as a Linux system administrator.

Since then, his career has included system administration, people management, support engineering, development, and marketing. Several years ago, he even earned a Master’s degree in IT Project Management. The variety of experience has helped Ben learn how to work with different groups of people. “A lot of what I’ve learned has come from making mistakes. When you mess up communication, you hopefully do a better job the next time.”

Besides tech, Ben also has a range of well-rounded interests. “I used to do a lot of short fiction writing, but these days I mostly write my opinions about whatever is on my mind.” As for favorite foods, he claims “All of it. Feed me.”

Additionally, Ben has taste that spans genres. His childhood hero was a character from the science fiction series “Star Trek: The Next Generation”. “As a young lad, I wanted very much to be Wesley Crusher.” His favorite movies are a parody film and a spy thriller: “‘Airplane!’ and ‘The Hunt for Red October’” respectively. 

When asked for the five greatest qualities he thinks someone can possess, Ben responded cleverly: “Kindness. Empathy. Curiosity. Resilience. Red hair.”

Ben wearing the official “#action bcotton” shirt

His Fedora Story

As a talented writer who described himself as “not much of a programmer”, he selected the Fedora Docs team in 2009 as an entry point into the community. What he found was that “the Friends foundation was evident.” At the time, he wasn’t familiar with tools such as Git, DocBook XML, or Publican (docs toolchain at the time). The community of experienced doc writers helped him get on his feet and freely gave their time. To this day, Ben considers many of them to be his friends and feels really lucky to work with them. Notably “jjmcd, stickster, sparks, and jsmith were a big part of the warm welcome I received.”

Today, as a senior program manager, he describes his job as “Chief Cat Herding Officer”- as his job is largely composed of seeing what different parts of the project are doing and making sure they’re all heading in the same general direction. 

Despite having a huge responsibility, Ben also helps a lot in his free time with tasks outside of his job duties, like website work, CommBlog and Magazine editing, packaging, etc… none of which are his core job responsibilities. He tries to find ways to contribute that match his skills and interests. Building credibility, paying attention, developing relationships with other contributors, and showing folks that he’s able to help, is much more important to him than what his “official” title is. 

When thinking towards the future, Ben feels hopeful watching the Change proposals come in. “Sometimes they get rejected, but that’s to be expected when you’re trying to advance the state of the art. Fedora contributors are working hard to push the project forward.“

The Fedora Community 

As a longtime member of the community, Ben has various notions about the Fedora Project that have been developed over the years. For starters, he wants to make it easier to bring new contributors on board. He believes the Join SIG has “done tremendous work in this area”, but new contributors will keep the community vibrant. 

If Ben had to pick a best moment, he’d choose Flock 2018 in Dresden. “That was my first Fedora event and it was great to meet so many of the people who I’ve only known online for a decade.” 

As for bad moments, Ben hasn’t had many. Once he accidentally messed up a Bugzilla query resulting in accidental closure of hundreds of bugs and has dealt with some frustrating mailing list threads, but remains positive, affirming that “frustration is okay.”

To those interested in becoming involved in the Fedora Project, Ben says “Come join us!” There’s something to appeal to almost anyone. “Take the time to develop relationships with the people you meet as you join, because without the Friends foundation, the rest falls apart.”

Pet Peeves

One issue he finds challenging is a lack of documentation. “I’ve learned enough over the years that I can sort of bumble through making code changes to things, but a lot of times it’s not clear how the code ties together.” Ben sees how sparse or nonexistent documentation can be frustrating to newcomers who might not have the knowledge that is assumed.

Another concern Ben has is that the “interesting” parts of technology are changing. “Operating systems aren’t as important to end users as they used to be thanks to the rise of mobile computing and Software-as-a-Service. Will this cause our pool of potential new contributors to decrease?”

Likewise, Ben believes that it’s not always easy to get people to understand why they should care about open source software. “The reasons are often abstract and people don’t see that they’re directly impacted, especially when the alternatives provide more immediate convenience.”

What Hardware?

For work, Ben has a ThinkPad X1 Carbon running Fedora 33 KDE. His personal server/desktop is a machine he put together from parts that runs Fedora 33 KDE. He uses it as a file server, print server, Plex media server, and general-purpose desktop. If he has some spare time to get it started, Ben also has an extra laptop that he wants to start using to test Beta releases and “maybe end up running rawhide on it”.

What Software?

Ben has been a KDE user for a decade. A lot of his work is done in a web browser (Firefox for work stuff, Chrome for personal). He does most of his scripting in Python these days, with some inherited scripts in Perl.

Notable applications that Ben uses include:

  • Cherrytree for note-taking
  • Element for IRC
  • Inkscape and Kdenlive when he needs to edit videos.
  • Vim on the command line and Kate when he wants a GUI
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Add storage to your Fedora system with LVM

Sometimes there is a need to add another disk to your system. This is where Logical Volume Management (LVM) comes in handy. The cool thing about LVM is that it’s fairly flexible. There are several ways to add a disk. This article describes one way to do it.

Heads up!

This article does not cover the process of physically installing a new disk drive into your system. Consult your system and disk documentation on how to do that properly.

Important: Always make sure you have backups of important data. The steps described in this article will destroy data if it already exists on the new disk.

Good to know

This article doesn’t cover every LVM feature deeply; the focus is on adding a disk. But basically, LVM has volume groups, made up of one or more partitions and/or disks. You add the partitions or disks as physical volumes. A volume group can be broken down into many logical volumes. Logical volumes can be used as any other storage for filesystems, ramdisks, etc. More information can be found here.

Think of the physical volumes as forming a pool of storage (a volume group) from which you then carve out logical volumes for your system to use directly.

Preparation

Make sure you can see the disk you want to add. Use lsblk prior to adding the disk to see what storage is already available or in use.

$ lsblk
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT
zram0 251:0 0 989M 0 disk [SWAP]
vda 252:0 0 20G 0 disk
├─vda1 252:1 0 1G 0 part /boot
└─vda2 252:2 0 19G 0 part
└─fedora_fedora-root 253:0 0 19G 0 lvm /

This article uses a virtual machine with virtual storage. Therefore the device names start with vda for the first disk, vdb for the second, and so on. The name of your device may be different. Many systems will see physical disks as sda for the first disk, sdb for the second, and so on.

Once the new disk has been connected and your system is back up and running, use lsblk again to see the new block device.

$ lsblk
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT
zram0 251:0 0 989M 0 disk [SWAP]
vda 252:0 0 20G 0 disk
├─vda1 252:1 0 1G 0 part /boot
└─vda2 252:2 0 19G 0 part
└─fedora_fedora-root 253:0 0 19G 0 lvm /
vdb 252:16 0 10G 0 disk

There is now a new device named vdb. The location for the device is /dev/vdb.

$ ls -l /dev/vdb
brw-rw----. 1 root disk 252, 16 Nov 24 12:56 /dev/vdb

We can see the disk, but we cannot use it with LVM yet. If you run blkid you should not see it listed. For this and following commands, you’ll need to ensure your system is configured so you can use sudo:

$ sudo blkid
/dev/vda1: UUID="4847cb4d-6666-47e3-9e3b-12d83b2d2448" BLOCK_SIZE="4096" TYPE="ext4" PARTUUID="830679b8-01"
/dev/vda2: UUID="k5eWpP-6MXw-foh5-Vbgg-JMZ1-VEf9-ARaGNd" TYPE="LVM2_member" PARTUUID="830679b8-02"
/dev/mapper/fedora_fedora-root: UUID="f8ab802f-8c5f-4766-af33-90e78573f3cc" BLOCK_SIZE="4096" TYPE="ext4"
/dev/zram0: UUID="fc6d7a48-2bd5-4066-9bcf-f062b61f6a60" TYPE="swap"

Add the disk to LVM

Initialize the disk using pvcreate. You need to pass the full path to the device. In this example it is /dev/vdb; on your system it may be /dev/sdb or another device name.

$ sudo pvcreate /dev/vdb
Physical volume "/dev/vdb" successfully created.

You should see the disk has been initialized as an LVM2_member when you run blkid:

$ sudo blkid
/dev/vda1: UUID="4847cb4d-6666-47e3-9e3b-12d83b2d2448" BLOCK_SIZE="4096" TYPE="ext4" PARTUUID="830679b8-01"
/dev/vda2: UUID="k5eWpP-6MXw-foh5-Vbgg-JMZ1-VEf9-ARaGNd" TYPE="LVM2_member" PARTUUID="830679b8-02"
/dev/mapper/fedora_fedora-root: UUID="f8ab802f-8c5f-4766-af33-90e78573f3cc" BLOCK_SIZE="4096" TYPE="ext4"
/dev/zram0: UUID="fc6d7a48-2bd5-4066-9bcf-f062b61f6a60" TYPE="swap"
/dev/vdb: UUID="4uUUuI-lMQY-WyS5-lo0W-lqjW-Qvqw-RqeroE" TYPE="LVM2_member"

You can list all physical volumes currently available using pvs:

$ sudo pvs
PV VG Fmt Attr PSize PFree
/dev/vda2 fedora_fedora lvm2 a-- <19.00g 0
/dev/vdb lvm2 --- 10.00g 10.00g

/dev/vdb is listed as a PV (phsyical volume), but it isn’t assigned to a VG (Volume Group) yet.

Add the pysical volume to a volume group

You can find a list of available volume groups using vgs:

$ sudo vgs
VG #PV #LV #SN Attr VSize VFree
fedora_fedora 1 1 0 wz--n- 19.00g 0

In this example, there is only one volume group available. Next, add the physical volume to fedora_fedora:

$ sudo vgextend fedora_fedora /dev/vdb
Volume group "fedora_fedora" successfully extended

You should now see the physical volume is added to the volume group:

$ sudo pvs PV VG Fmt Attr PSize PFree
/dev/vda2 fedora_fedora lvm2 a– <19.00g 0
/dev/vdb fedora_fedora lvm2 a– <10.00g <10.00g

Look at the volume groups:

$ sudo vgs
VG #PV #LV #SN Attr VSize VFree
fedora_fedora 2 1 0 wz–n- 28.99g <10.00g

You can get a detailed list of the specific volume group and physical volumes as well:

$ sudo vgdisplay fedora_fedora
--- Volume group ---
VG Name fedora_fedora
System ID
Format lvm2
Metadata Areas 2
Metadata Sequence No 3
VG Access read/write
VG Status resizable
MAX LV 0
Cur LV 1
Open LV 1
Max PV 0
Cur PV 2
Act PV 2
VG Size 28.99 GiB
PE Size 4.00 MiB
Total PE 7422
Alloc PE / Size 4863 / 19.00 GiB
Free PE / Size 2559 / 10.00 GiB
VG UUID C5dL2s-dirA-SQ15-TfQU-T3yt-l83E-oI6pkp

Look at the PV:

$ sudo pvdisplay /dev/vdb --- Physical volume --- PV Name /dev/vdb VG Name fedora_fedora PV Size 10.00 GiB / not usable 4.00 MiB Allocatable yes PE Size 4.00 MiB Total PE 2559 Free PE 2559 Allocated PE 0 PV UUID 4uUUuI-lMQY-WyS5-lo0W-lqjW-Qvqw-RqeroE 

Now that we have added the disk, we can allocate space to logical volumes (LVs):

$ sudo lvs
LV VG Attr LSize Pool Origin Data% Meta% Move Log Cpy%Sync Convert
root fedora_fedora -wi-ao---- 19.00g

Look at the logical volumes. Here’s a detailed look at the root LV:

$ sudo lvdisplay fedora_fedora/root
--- Logical volume ---
LV Path /dev/fedora_fedora/root
LV Name root
VG Name fedora_fedora
LV UUID yqc9cw-AvOw-G1Ni-bCT3-3HAa-qnw3-qUSHGM
LV Write Access read/write
LV Creation host, time fedora, 2020-11-24 11:44:36 -0500
LV Status available
LV Size 19.00 GiB
Current LE 4863
Segments 1
Allocation inherit
Read ahead sectors auto
- currently set to 256
Block device 253:0

Look at the size of the root filesystem and compare it to the logical volume size.

$ df -h /
Filesystem Size Used Avail Use% Mounted on
/dev/mapper/fedora_fedora-root 19G 1.4G 17G 8% /

The logical volume and the filesystem both agree the size is 19G. Let’s add 5G to the root logical volume:

$ sudo lvresize -L +5G fedora_fedora/root
Size of logical volume fedora_fedora/root changed from 19.00 GiB (4863 extents) to 24.00 GiB (6143 extents).
Logical volume fedora_fedora/root successfully resized.

We now have 24G available to the logical volume. Look at the / filesystem.

$ df -h /
Filesystem Size Used Avail Use% Mounted on
/dev/mapper/fedora_fedora-root 19G 1.4G 17G 8% /

We are still showing only 19G free. This is because the logical volume is not the same as the filesytem. To use the new space added to the logical volume, resize the filesystem.

$ sudo resize2fs /dev/fedora_fedora/root
resize2fs 1.45.6 (20-Mar-2020)
Filesystem at /dev/fedora_fedora/root is mounted on /; on-line resizing required
old_desc_blocks = 3, new_desc_blocks = 3
The filesystem on /dev/fedora_fedora/root is now 6290432 (4k) blocks long.

Look at the size of the filesystem.

$ df -h /
Filesystem Size Used Avail Use% Mounted on
/dev/mapper/fedora_fedora-root 24G 1.4G 21G 7% /

As you can see, the root file system (/) has taken all of the space available on the logical volume and no reboot was needed.

You have now initialized a disk as a physical volume, and extended the volume group with the new physical volume. After that you increased the size of the logical volume, and resized the filesystem to use the new space from the logical volume.

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Vagrant beyond the basics

There are, like most things in the Unix/Linux world, many ways of doing things with Vagrant, but here are some examples of ways to grow your Vagrantfile portfolio and increase your knowledge and use.

If you have not yet installed vagrant you can follow the first part of this series.

Some Vagrantfile basics

All Vagrantfiles start with “Vagrant.configure(“2”) do |config|” and finish with a corresponding “end”:

 
Vagrant.configure("2") do |config|
  ...
  ...
end

The “2” represents the version of Vagrant, and is currently either 1 or 2. Unless you need to use the older version simply stick with the latest.

The config structure is broken down into namespaces:

config.vm – modify the configuration of the machine(s) that Vagrant manages.

config.ssh – for configuring how Vagrant will access your machine over SSH.

config.winrm – configuring how Vagrant will access your Windows guest over WinRM.

config.winssh – the WinSSH communicator is built specifically for the Windows native port of OpenSSH.

config.vagrant – modify the behavior of Vagrant itself.

Each line in a namespace begins with the word ‘config’:

config.vm.box = “fedora/32-cloud-base”
config.vm.network “private_network”

There are many options here, and a read of the documentation pages is strongly recommended. They can be found at https://www.vagrantup.com/docs/vagrantfile

Also in this section you can configure provider-specific options. In this case the provider is libvirt, and the specific config looks like this:

 
config.vm.provider :libvirt do |libvirt|
  libvirt.cpus = 1
  libvirt.memory = 512

In the example above, all libvirt VMs will be created with a single CPU and 512Mb of memory unless specifically overridden.

The VM namespace is where you define all machines you want this Vagrantfile to build. Notice that this is still a part of the config section, and lines should therefore begin with ‘config’. All sections or parts of sections have an ‘end’ statement to close them off.

Creating multiple machines at once

Depending on what you need to achieve, this can be a simple loop or multiple machine definitions. To create any number of machines in a series, with the same settings but perhaps different names and/or IP addresses, you can just provide a range as shown here:

 
(1..5).each do |i|
  config.vm.define "server#{i}" do |server|
    server.vm.hostname = "server#{i}.example.com"
  end
end

This will create 5 servers, named server1, server2, server3 etc.

Of note, using Ruby style “for i in 1..3 do” doesn’t work despite Vagrantfile syntax actually being Ruby, so use the method from the example above.

If you need servers with different hostnames, different hardware etc then you’ll need to specify them individually, or at least in groups if the situation lends itself to that. Let’s say you need to create a typical web/db/load balancer infrastructure, with 2 web servers, a single database server and a load balancer for the web traffic. Ignoring the specific software setup for this, to simply create the virtual machines ready for provisioning you could use something like this:

 
# Load Balancer
config.vm.define "loadbal", primary: true do |loadbal|
  loadbal.vm.hostname = "loadbal"
end

# Database
config.vm.define "db", primary: true do |db|
  db.vm.hostname = "db"
end

# Web Servers x2
(1..2).each do |i|
  config.vm.define "web#{i}" do |web|
    web.vm.hostname = "web#{i}"
  end
end

This uses a combination of multiple machine calls and a small loop to build 4 VMs with a single ‘vagrant up’ command.

Networking

Vagrant generally creates its own network for VM access, and you use this with ‘vagrant ssh’. If you create more than one VM then you must use the VM name to identify which one you wish to connect to – vagrant ssh vmname.

There are a number of configuration options available which allow you to interact with your VMs in various ways.

The vagrant-libvirt plugin creates a network for the guests to use. This is automated and will always be present even if you define your own networks. The network is named “vagrant-libvirt” and can be seen either in the Virtual Networks tab of virt-manager’s connection details or by issuing a sudo virsh net-list command.

If you use dhcp for your guests, you can find the individual IP addresses with the virsh net-dhcp-list command: sudo virsh net-dhcp-leases vagrant-libvirt

Port Forwarding

The simplest change to default networking is port forwarding. This uses a simple format like most Vagrant config: config.vm.network “forwarded_port”, guest: 80, host: 8080

This listens to port 8080 on your local machine and forwards connections to port 80 on the Vagrant machine. If you need to use a UDP port, simply add , protocol: “udp” to the end of that line (notice that comma which should come immediately after the second port number).

Obviously for more complex configurations this might not be ideal, as you need to specify every single port you want to forward. If you then add multiple machines the complexity can really become too much.

In addition to this, anyone on your network can access these ports if they know your IP address, so that’s something you should be aware of.

Public Network

This creates a network card for the Vagrant VM which connects to your host network, and will therefore be visible to all machines on that network. As Vagrant is not designed to be secure, you should be aware of any vulnerabilities and take steps to protect against them.

To configure a public network, add config.vm.network “public_network” to your Vagrantfile. This will use DHCP to obtain a network address.

If you wish to assign a static IP address, you can add one to the end of the network declaration: config.vm.network “public_network”, ip: “192.168.0.1”

If you’re creating multiple guests you can put the network configuration in the vm namespace, and even allocate IPs based on iteration too:

 
Vagrant.configure("2") do |config|
  config.vm.box = "centos/8"
  config.vm.provider :libvirt do |libvirt|
    libvirt.qemu_use_session = false
  end

  # Servers x2
  (1..2).each do |i|
    config.vm.define "server#{i}" do |server|
      server.vm.hostname = "server#{i}"
      server.vm.network "public_network", ip: "192.168.122.20#{i}"
    end
  end
end

Private Network

This works very much like the Public Network option, only the network is only available to the host machine and the Vagrant guests. The syntax is almost identical too: config.vm.network “private_network”, type: “dhcp”

 To use a static IP address, simply add it:

 
config.vm.network "private_network", ip: "192.168.50.4"

This will create a new network in libvirt, usually named something like “vagrant-private-dhcp” – you can see this with the command sudo virsh net-list while the VM is running. This network is created and destroyed along with the vagrant guests.

Again, the network config can be specified for all guests, or per guest as shown in the public network example above.

Provisioning

Once you have your VMs defined, you can obviously then do whatever you want with them, but as soon as you issue a ‘vagrant destroy’ command any changes will be lost. This is where automated provisioning comes in.

You can use several methods to provision your machines, from simple file copies to shell scripts, Ansible, Chef and Puppet. Many of the main methods can be used, but I’ll cover the simple ones here – if you need to use something else please read the documentation as it’s all covered.

File uploads

To copy a file to the Vagrant guest, add a line to the Vagrantfile like this:

 
config.vm.provision "file", source: "~/myfile", destination: "myfile"

You can copy directories too:

 
config.vm.provision "file", source: "~/path/to/host/folder", destination: "$HOME/remote/newfolder"

The directory structure should already exist on the Vagrant host, and will be copied in its entirety, including subdirectories and files.

Note: If you add a trailing slash to the destination path, the source path will be placed under this so make sure you only do this if you want that outcome. For example, if the above destination was “$HOME/remote/newfolder/”, then the result would see “$HOME/remote/newfolder/folder” created with the contents of the source placed here.

Shell commands

You can include individual commands, inline scripts or external scripts to perform provisioning tasks.

A single command would take this form, and any valid command line command can be used here: config.vm.provision “shell”, inline: “sudo dnf update -y”

An inline script is less common, and declared at the top of the Vagrantfile then called during provisioning:

 
$script = &lt;&lt;-SCRIPT
echo I am provisioning...
date > /etc/vagrant_provisioned_at
SCRIPT

Vagrant.configure("2") do |config|
  config.vm.provision "shell", inline: $script
end

More common is the external shell script, which gives more flexibility and makes code more modular. Vagrant uploads the file to the guest then executes it. Simply call the script in the provisioning line:

config.vm.provision “shell”, path: “script.sh”

The file need not be local to the Vagrant host either:

config.vm.provision “shell”, path: “https://example.com/provisioner.sh”

Ansible

To use Ansible to provision your VMs you must have it installed on the Vagrant host; see https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html#installing-ansible-on-rhel-centos-or-fedora.

You specify an Ansible playbook to provision your VM in the following way:

 
config.vm.provision "ansible" do |ansible|
  ansible.playbook = "playbook.yml"
end

This then calls the playbook, which will run as any externally-run ansible playbook would.

If you’re building multiple VMs with your Vagrantfile then it’s likely you want different configurations for some of them, and in this case you should provision within the definition of each VM, as shown here:

 
# Web Servers x2
(1..2).each do |i|
  config.vm.define "web#{i}" do |web|
    web.vm.hostname = "web#{i}"
    web.vm.provision "ansible" do |ansible|
      ansible.playbook = "web.yml"
    end
  end
end

Ansible provisioners come in two formats – ansible and ansible_local. The ansible provisioner requires that Ansible is installed on the Vagrant host, and will connect remotely to your guest VMs to provision them. This means all necessary ssh authentication must be in place for it to work. The ansible_local provisioner executes playbooks directly on the guest VMs, which therefore requires Ansible be installed on each of the guests you want to provision. Vagrant will try to install Ansible on the guests in order to do this, (This can be controlled with the install option, but is enabled by default). On RHEL-style systems like Fedora, Ansible is installed from the EPEL repository. Simply use either ansible or ansible_local in the config_vm_provision command to choose the style you need.

Synced Folders

Vagrant allows you to sync folders between your Vagrant host and your guests, allowing access to configuration files, data etc. By default, the folder containing the Vagrant file is shared and mounted under /vagrant on each guest.

To configure additional synced folders, use the config.vm.synced.folder command:

 
config.vm.synced_folder "src/", "/srv/website"

The two parameters are the source folder on the Vagrant host and the mount directory on the guest. The destination folder will be created if it does not exist, recursively if necessary.

Options for synced folders allow you to configure them better, including the option to disable them completely. Other options allow you to specify a group owner of the folder (group), the folder owner (owner), plus mount options. There are others but these are the main ones.

You can disable the default share with the following command:

 
config.vm.synced_folder ".", "/vagrant", disabled: true

Other options are configured as follows:

 
config.vm.synced_folder "src/", "/srv/website",
  owner: "apache", group: "apache"

NFS synced folders

When using Vagrant on a Linux host, synced folders use NFS (with the exception of the default share which uses rsync; see below) so you must have NFS installed on the Vagrant host, and the guests also need NFS support installation. To use NFS with non-Linux hosts, simply specify the folder type as ‘nfs’:

 
config.vm.synced_folder ".", "/vagrant", type: "nfs"

RSync synced folders

These are the easiest to use as they usually work without any intervention on a Linux host. This is a one-way sync from host to guest performed at startup (vagrant up) or after a vagrant reload command is issued. The default share of the Vagrant project directory is done with rsync. To configure a synced folder with rsync, specify the type as ‘rsync’:

 
config.vm.synced_folder ".", "/vagrant", type: "rsync"