## Problem
We have a couple of CI workflows that still run on Debian Bullseye, and
the default Debian version in images is Bullseye as well (we explicitly
set building on Bookworm)
## Summary of changes
- Run `pgbench-pgvector` on Bookworm (fix a couple of packages)
- Run `trigger_bench_on_ec2_machine_in_eu_central_1` on Bookworm
- Change default `DEBIAN_VERSION` in Dockerfiles to Bookworm
- Make `pinned` docker tag an alias to `pinned-bookworm`
## Problem
We want to keep `#on-call-staging-stream` channel close to the prod one
and redirect notifications from failing benchmarks to another channel
for investigation.
## Summary of changes
- Send notifications regarding failures in `benchmarking` job to
`#on-call-staging-stream`
- Send notifications regarding failures in `periodic_pagebench` job to
`#on-call-staging-stream`
## Problem
A bunch of small fixes and improvements for CI, that are too small to
have a separate PR for them
## Summary of changes
- CI(build-and-test): fix parenthesis
- CI(actionlint): fix path to workflow file
- CI: remove default args from actions/checkout
- CI: remove `gen3` label, using a couple `self-hosted` +
`small{,-arm64}`/`large{,-arm64}` is enough
- CI: prettify Slack messages, hide links behind text messages
- C(build-and-test): add more dependencies to `conclusion` job
we want to run some specific pagebench test cases on dedicated hardware
to get reproducible results
run1: 1 client per tenant => characterize throughput with n tenants.
- 500 tenants
- scale 13 (200 MB database)
- 1 hour duration
- ca 380 GB layer snapshot files
run2.singleclient: 1 client per tenant => characterize latencies
run2.manyclient: N clients per tenant => characterize throughput
scalability within one tenant.
- 1 tenant with 1 client for latencies
- 1 tenant with 64 clients because typically for a high number of
connections we recommend the connection pooler
which by default uses 64 connections (for scalability)
- scale 136 (2048 MB database)
- 20 minutes each
