If kubelet plugin registration fails, it would be good to know more about the
communication with kubelet. Capturing the GRPC calls and then checking that
makes the failure messages more informative. Here's an example where a failure
was triggered by temporarily modifying the check so that it didn't find the
call:
[FAILED] Timed out after 30.000s.
Expected:
<[]app.GRPCCall | len:2, cap:2>: [
{
FullMethod: "/pluginregistration.Registration/GetInfo",
Request:
{},
Response:
endpoint: /var/lib/kubelet/plugins/test-driver/dra.sock
name: test-driver.cdi.k8s.io
supported_versions:
- 1.0.0
type: DRAPlugin,
Err: nil,
},
{
FullMethod: "/pluginregistration.Registration/NotifyRegistrationStatus",
Request:
plugin_registered: true,
Response:
{},
Err: nil,
},
]
to contain successful NotifyRegistrationStatus call
the e2e framwork use active loops to wait for certain async operations,
these loops need to retry on some operations and fail in others.
For the functions that depend on some operations to happen, the
apiserver may return 503 errors until that specific service is
available, so we should retry on those too.
Change-Id: Ib3d194184f6385b9d3d151c7055f27c97c21c3ff
Applying it to the entire spec included cleaning up, which makes predicting the
acceptable duration harder because it includes code not owned by the test
itself. It's better to specify a timeout only for the test code itself.
To test https://github.com/kubernetes/kubernetes/issues/117745,
restart kubelet with a CSI volume mounted *and* the API server running as a
static pod.
The test heavily uses `kind` containers and the fact that it uses the API
server as a static pod.
condidering NewSerializer* funcs are deprecated with
NewSerializerWithOptions(), the test functions are adjusted to the same.
Signed-off-by: Humble Chirammal <humble.devassy@gmail.com>
This is required because an empty name is no longer supported: the
perf-dashboard is run with --allow-parsers-matching-all-tests=false with causes
perfdash to skip current configuration for BenchmarkPerfResults as it does not
have name
set (4674704f45/perfdash/metrics-downloader.go (L165-L167)).
The perf-dash config needs to be updated accordingly.
* Enable dockerized build with --use-dockerized-build=true
* Build and create test artifacts for ARM64 with --target-build-arch=arm64
* Prepull multi-arch ready container image
* Download ARM64 binaries/packages if running on ARM64 machine
`Framework` variable has been removed from test/*
unwanted `[]byte` conversion has been removed
import alias has been avoided
Signed-off-by: Humble Chirammal <humble.devassy@gmail.com>
test/e2e images have lost the parity compared the e2e suite image
versions and this commit make them in parity.
Signed-off-by: Humble Chirammal <humble.devassy@gmail.com>
The plugins get called by scheduler goroutines. At least the polling seems to
be done concurrently and thus needs locking.
Locking the PreBindPlugin state is less obvious. It might be that the scheduler
is really done with the test pod, but that ordering doesn't seem to be enough
for the race detector. It's simpler to add mutex locking.
v1.17.0 has been built at present where this commit make use
of available latest version/tag for the build purpose.
Signed-off-by: Humble Chirammal <humble.devassy@gmail.com>
a) add namespacing to metrics: fixes interference between `should scale up when one metric is missing (Pod and External metrics)` and `should not scale down when one metric is missing (Container Resource and External Metrics)` specs, cause of flakiness.
b) replaces deployments containing unused exporters (metrics ignored) with deployments without any exporters: potential fix for often hitting a rate-limit on creating metrics descriptors (429 errors), also adds clarity.
c) fixes metric types: some external metrics tests used non-average type while expecting the value to be constant regardless of the number of pods. However, queries resulting from metric specs don't filter by pods, so a sum of metrics for all the pods is the fetched metric value (https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-metrics-not-related-to-kubernetes-objects). Adding averaging back by the number of pods fixes a couple of specs where the tests were passing for the wrong reason (wanted d ifferent test conditions).
The nightly containerd binary no longer works in the current kind base images:
May 15 16:32:31 kind-worker containerd[222]: /usr/local/bin/containerd:
/lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.32' not found (required by
/usr/local/bin/containerd)
kind now builds containerd directly with the base images. The official base
images still use containerd 1.6, so we have to use a special base image that
was prepared for this purpose.
Because the containerd config can be patched through kind, we don't need to
modify the generated node image anymore.
The goal is to only label workloads as "performance" which actually run long
enough to provide useful metrics. The throughput collector samples once per
second, so a workload should run at least 5, better 10 seconds to get at least
a minimal amount of samples for the percentile calculation.
For benchstat analysis of runs with sufficient repetitions to get statistically
meaningful results, each workload shouldn't run more than one minute, otherwise
before/after analysis becomes too slow.
The labels were chosen based on benchmark runs on a reasonably fast desktop. To
know how long each workload takes, a new "runtime_seconds" benchmark result
gets added.
This PR updates changes related references to the legacy
release bucket, excluding CHANGELOG updates.
Signed-off-by: Ricky Sadowski <richard.j.sadowski@gmail.com>
When certain status conditions are not expected, we need to see
the nested objects, but %#v doesn't handle pointers well. Output
as simple encoded JSON.
