* aws provider v5.0+ works alright and should be permitted,
relax the version constraint for the Typhoon AWS kubernetes
module and worker module for Fedora CoreOS and Flatcar Linux
* When invalid Ignition snippets are provided to Typhoon, it
can be useful to view Azure's boot logs for the instance, which
requires boot diagnostics be enabled
* Add an internal `worker` module to the bare-metal module, to
allow individual bare-metal machines to be defined and joined
to an existing bare-metal cluster. This is similar to the "worker
pools" modules for adding sets of nodes to cloud (AWS, GCP, Azure)
clusters, but on metal, each piece of hardware is potentially
unique
New: Using the new `worker` module, a Kubernetes cluster can be defined
without any `workers` (i.e. just a control-plane). Use the `worker`
module to define each piece machine that should join the bare-metal
cluster and customize it in detail. This style is quite flexible and
suited for clusters with hardware that varies quite a bit.
```tf
module "mercury" {
source = "git::https://github.com/poseidon/typhoon//bare-metal/flatcar-linux/kubernetes?ref=v1.26.2"
# bare-metal
cluster_name = "mercury"
matchbox_http_endpoint = "http://matchbox.example.com"
os_channel = "flatcar-stable"
os_version = "2345.3.1"
# configuration
k8s_domain_name = "node1.example.com"
ssh_authorized_key = "ssh-rsa AAAAB3Nz..."
# machines
controllers = [{
name = "node1"
mac = "52:54:00:a1:9c:ae"
domain = "node1.example.com"
}]
}
```
```tf
module "mercury-node1" {
source = "git::https://github.com/poseidon/typhoon//bare-metal/flatcar-linux/kubernetes/worker?ref=v1.26.2"
cluster_name = "mercury"
# bare-metal
matchbox_http_endpoint = "http://matchbox.example.com"
os_channel = "flatcar-stable"
os_version = "2345.3.1"
# configuration
name = "node2"
mac = "52:54:00:b2:2f:86"
domain = "node2.example.com"
kubeconfig = module.mercury.kubeconfig
ssh_authorized_key = "ssh-rsa AAAAB3Nz..."
# optional
snippets = []
node_labels = []
node_tains = []
install_disk = "/dev/vda"
cached_install = false
}
```
For clusters with fairly similar hardware, you may continue to
define `workers` directly within the cluster definition. This
reduces some repetition, but is not quite as flexible.
```tf
module "mercury" {
source = "git::https://github.com/poseidon/typhoon//bare-metal/flatcar-linux/kubernetes?ref=v1.26.1"
# bare-metal
cluster_name = "mercury"
matchbox_http_endpoint = "http://matchbox.example.com"
os_channel = "flatcar-stable"
os_version = "2345.3.1"
# configuration
k8s_domain_name = "node1.example.com"
ssh_authorized_key = "ssh-rsa AAAAB3Nz..."
# machines
controllers = [{
name = "node1"
mac = "52:54:00:a1:9c:ae"
domain = "node1.example.com"
}]
workers = [
{
name = "node2",
mac = "52:54:00:b2:2f:86"
domain = "node2.example.com"
},
{
name = "node3",
mac = "52:54:00:c3:61:77"
domain = "node3.example.com"
}
]
}
```
Optional variables `snippets`, `worker_node_labels`, and
`worker_node_taints` are still defined as a map from machine name
to a list of snippets, labels, or taints respectively to allow some
degree of per-machine customization. However, fields like
`install_disk`, `kernel_args`, `cached_install` and future options
will not be designed this way. Instead, if your machines vary it
is recommended to use the new `worker` module to define each node
* Terraform supports sourcing modules from either Git repos or from
their own hosted Terraform Module Registry, introduced a few years ago
* Typhoon docs have always shown using Git-based module sources, not
the Terraform Module Registry. For example, module usage should be
`source = "git::https://github.com/poseidon/typhoon/...` not
`source = poseidon/kubernetes/...`
* Typhoon published Flatcar Linux modules (CoreOS Container Linux at the time)
to Terraform Module Registry, but the approach has a number of drawbacks
for publishers and for users.
* Terraform's Module Registry requires subtree mirroring Typhoon to special
terraform-platform-kubernetes repos. This distorts Git history,
requires special automation, and the registry's naming requirements
don't allow us to publish our full matrix of modules (Fedora CoreOS
and Flatcar Linux, across AWS, Azure, GCP, on-prem, and DigitalOcean)
* Terraform's Module Registry only supports release versions (no commit SHAs
or forks)
* Ultimately, the Terraform Module Registry limits user flexibility, has
tedious publishing constraints, and introduces centralization where the
current decentralized Git-based approach is simpler and more featureful
Note: This does not affect Terraform _Providers_ like `poseidon/matchbox`
or `poseidon/ct`. For Terraform providers, Terraform's centralized
platform eases provider plugin installation and provides value
* @typhoon@fosstodon.org will announce Typhoon releases, like the
@typhoon8s Twitter account does today
* @poseidon@fosstodon.org will announce Poseidon Labs news and
general projects, like the @poseidonlabs Twitter account does today
* Kubelet GracefulNodeShutdown works, but only partially handles
gracefully stopping the Kubelet. The most noticeable drawback
is that Completed Pods are left around
* Use a project like poseidon/scuttle or a similar systemd unit
as a snippet to add drain and/or delete behaviors if desired
* This reverts commit 1786e34f33.
Rel:
* https://www.psdn.io/posts/kubelet-graceful-shutdown/
* https://github.com/poseidon/scuttle
* delete-node.service used to be used to remove nodes from the
cluster on shutdown, but its long since it last worked properly
* If there is still a desire for this concept, it can be added
with a custom snippet and with a better systemd unit
* network.target is a passive unit that's not actually pulled
in by units requiring or wanting it, its only used for shutdown
ordering
> "Services using the network should ... avoid any Wants=network.target or even Requires=network.target"
Rel: https://www.freedesktop.org/wiki/Software/systemd/NetworkTarget/
* Kinvolk now publishes Flatcar Linux images for ARM64
* For now, amd64 image must specify a plan while arm64 images
must NOT specify a plan due to how Kinvolk publishes.
Rel: https://github.com/flatcar/Flatcar/issues/872
* Switch from Azure Hypervisor generation 1 to generation 2
* Change default Azure `worker_type` from Standard_DS1_v2 to Standard_D2as_v5
* Get 2 VCPU, 7 GiB, 12500Mbps (vs 1 VCPU, 3.5GiB, 750 Mbps)
* Small increase in pay-as-you-go price ($53.29 -> $62.78)
* Small increase in spot price ($5.64/mo -> $7.37/mo)
* Change from Intel to AMD EPYC (`D2as_v5` cheaper than `D2s_v5`)
Notes: Azure makes you accept terms for each plan:
```
az vm image terms accept --publish kinvolk --offer flatcar-container-linux-free --plan stable-gen2
```
Rel:
* https://learn.microsoft.com/en-us/azure/virtual-machines/dasv5-dadsv5-series#dasv5-series
* https://learn.microsoft.com/en-us/azure/virtual-machines/dv2-dsv2-series#dsv2-series
* Disable Kubelet Graceful Node Shutdown on worker nodes (enabled in
Kubernetes v1.25.0 https://github.com/poseidon/typhoon/pull/1222)
* Graceful node shutdown shutdown allows 30s for critical pods to
shutdown and 15s for regular pods to shutdown before releasing the
inhibitor lock to allow the host to shutdown
* Unfortunately, both pods and the node are shutdown at the same
time at the end of the 45s period without further configuration
options. As a result, regular pods and the node are shutdown at the
same time. In practice, enabling this feature leaves Error or Completed
pods in kube-apiserver state until manually cleaned up. This feature
is not ready for general use
* Fix issue where Error/Completed pods are accumulating whenever any
node restarts (or auto-updates), visible in kubectl get pods
* This issue wasn't apparent in initial testing and seems to only
affect non-critical pods (due to critical pods being killed earlier)
But its very apparent on our real clusters
Rel: https://github.com/kubernetes/kubernetes/issues/110755
* When podman runs the Kubelet container, logging to journald means
log lines are duplicated in the journal. journalctl -u kubelet shows
Kubelet's logs and the same log messages from podman. Using the
k8s-file driver alleviates this problem
* Fix Kubelet and etcd-member logs to be more readable and reduce
unneccessary Kubelet log volume
* Change the workers managed instance group to health check nodes
via HTTP probe of the kube-proxy port 10256 /healthz endpoints
* Advantages: kube-proxy is a lower value target (in case there
were bugs in firewalls) that Kubelet, its more representative than
health checking Kubelet (Kubelet must run AND kube-proxy Daemonset
must be healthy), and its already used by kube-proxy liveness probes
(better discoverability via kubectl or alerts on pods crashlooping)
* Another motivator is that GKE clusters also use kube-proxy port
10256 checks to assess node health
* Changes to worker launch configurations start an autoscaling group instance
refresh to replace instances
* Instance refresh creates surge instances, waits for a warm-up period, then
deletes old instances
* Changing worker_type, disk_*, worker_price, worker_target_groups, or Butane
worker_snippets on existing worker nodes will replace instances
* New AMIs or changing `os_stream` will be ignored, to allow Fedora CoreOS or
Flatcar Linux to keep themselves updated
* Previously, new launch configurations were made in the same way, but not
applied to instances unless manually replaced
* When a worker managed instance group's (MIG) instance template
changes (including machine type, disk size, or Butane snippets
but excluding new AMIs), use Google Cloud's rolling update features
to ensure instances match declared state
* Ignore new AMIs since Fedora CoreOS and Flatcar Linux nodes
already auto-update and reboot themselves
* Rolling updates will create surge instances, wait for health
checks, then delete old instances (0 unavilable instances)
* Instances are replaced to ensure new Ignition/Butane snippets
are respected
* Add managed instance group autohealing (i.e. health checks) to
ensure new instances' Kubelet is running
Renames
* Name apiserver and kubelet health checks consistently
* Rename MIG from `${var.name}-worker-group` to `${var.name}-worker`
Rel: https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups
* Rename launch configuration to use a name_prefix named after the
cluster and worker to improve identifiability
* Shorten AWS autoscaling group name to not include the launch config
id. Years ago this used to be needed to update the ASG but the AWS
provider detects changes to the launch configuration just fine
* Typhoon Fedora CoreOS is already using iptables nf_tables since
F36. The file to pin to legacy iptables was renamed to
/etc/coreos/iptables-legacy.stamp
* Requires poseidon v0.11+ and Flatcar Linux 3185.0.0+ (action required)
* Previously, Flatcar Linux configs have been parsed as Container
Linux Configs to Ignition v2.2.0 specs by poseidon/ct
* Flatcar Linux starting in 3185.0.0 now supports Ignition v3.x specs
(which are rendered from Butane Configs, like Fedora CoreOS)
* poseidon/ct v0.11.0 adds support for the flatcar Butane Config
variant so that Flatcar Linux can use Ignition v3.x
Rel:
* [Flatcar Support](https://flatcar-linux.org/docs/latest/provisioning/ignition/specification/#ignition-v3)
* [poseidon/ct support](https://github.com/poseidon/terraform-provider-ct/pull/131)
* Google Cloud Terraform provider resource google_dns_record_set's
name field provides the full domain name with a trailing ".". This
isn't a new behavior, Google has behaved this way as long as I can
remember
* etcd domain names are passed to the bootstrap module to generate
TLS certificates. What seems to be new(ish?) is that etcd peers
see example.foo and example.foo. as different domains during TLS
SANs validation. As a result, clusters with multiple controller
nodes fail to run etcd-member, which manifests as cluster provisioning
hanging. Single controller/master clusters (default) are unaffected
* Fix etcd-member.service error in multi-controller clusters:
```
"error":"x509: certificate is valid for conformance-etcd0.redacted.,
conform-etcd1.redacted., conform-etcd2.redacted., not conform-etcd1.redacted"}
```
* Fixes warning about use of deprecated field `key_algorithm` in
the `hashicorp/tls` provider. The key algorithm can now be inferred
directly from the private key so resources don't have to output
and pass around the algorithm
