* Configure the regional worker instance templates with the
region of the cluster. This defaults to the provider's region
which isn't always what you want and if left off causes an error
* Close#1512
* Use regional instance templates for the worker node regional
managed instance groups. Regional instance templates are kept in
the associated region, whereas the older "global" instance templates
were kept in a particular region (regardless of where the MIG region)
so outages in a region X could affect clusters in a region Y which
is undesired
* When using the Cilium component, disable bootstrapping the
kube-proxy DaemonSet. Instead, configure Cilium to provide its
kube-proxy replacement with BPF
* Update the self-managed Cilium component to use kube-proxy
replacement as well
* Use EC2 resource-based hostnames instead of IP-based hostnames. The Amazon
DNS server can resolve A and AAAA queries to IPv4 and IPv6 node addresses
* For example, nodes used to be named like `ip-10-11-12-13.us-east-1.compute.internal`
but going forward use the instance id `i-0123456789abcdef.us-east-1.compute.internal`
* Tag controller node EBS volumes with a name based on the controller node name
* Set reasonable values and remove some variable clutter
* enable_reporting is only used with Calico and we can just default
to false, I doubt anyone uses Calico and cares much about reporting
metrics to upstream Calico
* Typhoon now supports arbitrary combinations of controller, worker,
and worker pool architectures so we can drop the specific details of
full-cluster vs hybrid cluster. Just pick the architecture for each
group of nodes accordingly.
* However, if a custom node taint is set, continue to configure the
cluster's daemonsets accordingly with `daemonset_tolerations`
* Drop support for `cluster_domain_suffix` customization and
always use `cluster.local`. Many components in the Kubernetes
ecosystem assume this default suffix and its very rare to be
setting a special value here these days
* Cleanup a few variables that are seldom used
* On platforms that support ARM64 instances, configure controller
and worker node host architectures separately
* For example, you can run arm64 controllers and amd64 workers
* Add `controller_arch` and `worker_arch` variables
* Remove `arch` variable
* Add `controller_disk_type`, `controller_disk_size`, and `controller_disk_iops`
variables
* Add `worker_disk_type`, `worker_disk_size`, and `worker_disk_iops` variables
and fix propagation to worker nodes
* Remove `disk_type`, `disk_size`, and `disk_iops` variables
* Add `controller_cpu_credits` and `worker_cpu_credits` variables to set CPU
pricing mode for burstable instance types
* Use flexible orchestration mode. Azure has started to recommend this
mode because it allows interacting with VMSS instances like regular VMs
via the CLI or via the Azure Portal
* Add options to allow workers nodes to use ephemeral local disks
* Add `controller_disk_type` and `controller_disk_size` variables
* Add `worker_disk_type`, `worker_disk_size`, and `worker_ephemeral_disk` variables
* Consolidate load balancer frontend IPs to just the minimal IPv4
and IPv6 addresses that are needed per load balancer. apiserver and
ingress use separate ports, so there is not a true need for a separate
public IPv4 address just for apiserver
* Some might prefer a separate IP just because it slightly hides the
apiserver, but these are public hosted endpoints that can be discovered
* Reduce the cost of an Azure cluster since IPv4 public IPs are billed
($3.60/mo/cluster)
* Rename the region variable to location to align with Azure
platform conventions, where resources are created within an
Azure location, which are themselves part of broader geographical
regions
