A Redis sidecar whose consumer declares no services.redis.mem_limit
runs in a container that inherits the consumer's primary entity limit.
Since the lookup replaced the old filter, maxmemory followed that limit
and rose from 204 MiB to between 819 and 3276 MiB in 17 roles.
lookup('service_memory_mb', ..., provider=<role>) caps the result at
the same share of the provider's own limit when the application does
not declare one for that service. A declared limit is not capped, and a
container smaller than the provider keeps its own share. The Redis
sidecar passes provider='svc-db-redis': those 17 roles get 409 MiB, the
seven with a 256 MiB container stay at 204.
The lookup now rejects unknown options and a provider that is no role
or declares no limit for the service, so a misspelled option fails
instead of silently lifting the cap.
The memcached sidecar's literal -m 64 takes the same lookup and keeps
its value.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
start_interval is the cadence while start_period runs, and only while it runs.
Once the window closes the probe falls back to interval, so a service that
becomes ready just after it pays a whole tick anyway and the cadence never
reached it. Six of the seven flavors were shaped that way, Curl worst: a thirty
second window against a one minute interval.
Measured across 151 converge waits in four job logs, 63 sit exactly on a tick
boundary, 36 in the thirty second step and 27 in the sixty second one.
Attributed by application, web-app-seaweedfs is the largest at 1501s over
sixteen waits with a median of 57.7s: it probes with curl and fell straight into
the gap. web-app-zammad probes with connect, whose window is fifteen minutes,
and its 154s median is real boot time with nothing to recover.
So the window moves to ten minutes and the steady state interval to two, and the
flavor overrides that sat below them go: Curl, Wget and Connect lose interval
1m, Http its twenty second window, Nc its ten. Connect keeps fifteen minutes.
Neither number costs anything while a container works. start_period delays
nothing, it only stops failures counting, and interval no longer touches
convergence at all since that hangs on the window alone; it is steady state
load, which drops from 120 probes an hour per service to 30.
Forty six role files follow. Twenty seven declarations go that repeat the new
default or undercut it, an undercut window being the defect itself. Eight
windows longer than ten minutes keep their value and now say why. The literal
blocks and the three Dockerfiles this repository builds spell every timing out,
because outside the lookup an omission takes docker's value and not the
platform's.
A fourth lint rule keeps the shape: start_period must outlast one interval,
checked against the effective values, so raising interval without the window
cannot quietly bring the cliff back.
Two faults in the lint surfaced while building it and are fixed here. It
compared timings as strings, so 600s and 10m read as different values, and it
matched the healthcheck key exactly, so a line carrying a trailing nocheck was
skipped whole, which is how the two swarm-init partials went unexamined.
One regression, bounded. A container that starts and never turns healthy is
neither rejected nor errored, so stack_ready.sh only calls it fatal after three
killed tasks, and each cycle now spans the longer window. That reaches twenty
minutes rather than six, capped there by swarm_stack_converge_retries at 600
with a two second delay, and it lands only on runs that were failing anyway.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A healthcheck written outside the container_healthcheck lookup inherits nothing
from utils/docker/healthcheck, and docker offers nowhere to put a replacement.
daemon.json carries storage, logging, DNS, registries and runtimes, and no
health key at all, so an omitted timing lands on docker's own value rather than
the platform's. The two disagree where it matters most: docker starts a
container with no start period, which leaves start_interval no window to act in.
That is why the hand-written blocks never gained the cadence.
The three images this repository builds itself now carry it. openldap and
postgres also drop to the platform interval, and bluesky gains the start window
it never had:
svc-db-openldap/files/Dockerfile --interval=30s ... --start-interval=5s
svc-db-postgres/templates/Dockerfile.j2 --interval=30s ... --start-interval=5s
web-app-bluesky/.../Dockerfile --start-period=30s --start-interval=5s
Six literal blocks move to the platform interval as well: magento, redis,
elasticsearch, matrix and both sys-svc-rdbms partials. Since start_interval
exists, interval no longer touches convergence and is steady state load alone.
Sixteen values that stay where they are now name the mechanism that keeps them
there. Two are worth reading. web-app-kix overrides start_period and nothing
else on purpose, letting the image's own HEALTHCHECK supply test, interval,
timeout and retries; filling those in would have overwritten what upstream tuned.
The memcached and redis swarm-init partials probe every second and deliberately
run with no start window, which is why start_interval is absent rather than
forgotten.
The rest name their probe: occ boots the whole Nextcloud stack, tor re-parses
its torrc instead of asking a running service, opensearch is still forming a
cluster, matrix waits on a file another step writes to a share.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
42ebd9ea71 gave the healthcheck SPOT start_interval, the cadence docker uses
while start_period is still running. A block a template writes out itself
bypasses the SPOT and never gained it. Measured across the repository: 46 such
blocks, 40 of them already carrying start_period, not one carrying
start_interval.
Without it a probe fires only every interval, so a service ready after two
seconds is reported healthy at the next tick and a stack converges no faster
than its coarsest quantisation. That lands in sys-svc-compose's swarm converge
wait, 1551.7s per CI job over 38 stack deploys.
Twenty five of the blocks move into meta/services.yml and render through
container_healthcheck. Each keeps an explicit test rather than picking a flavor:
a flavor would replace the command instead of carrying it across.
The move is lossless by construction. probes.py block() writes
overrides.get(key, default) for interval, timeout, retries, start_period and
start_interval, so a declaration repeating the literal values renders the same
block plus the missing cadence. Checked per block against the old values: the
only difference is start_interval 5s, nothing changed, nothing lost.
Twenty one stay literal. Seventeen interpolate a template variable, whose value
resolves in a scope meta/services.yml does not share, so moving them would be a
rewrite rather than a transcription. Four interpolate nothing and still cannot
move: svc-db-memcached and svc-db-redis probe every second in their swarm
service partial, where a 5s start cadence would report healthy later than the
block already does, and the sys-svc-rdbms and keycloak sso_proxy partials render
for the consuming role's application_id, so their declaration has no single
meta/services.yml to live in. Each carries a nocheck naming its reason.
All twenty one gain start_interval. Three also gain start_period, without which
the key does nothing at all, since it only applies while the start period runs.
That widens their failure tolerance rather than narrowing it: bluesky from 90 to
120 seconds, magento from 50 to 80, the mariadb partial from 180 to 210.
pixelfed spelled its probe as a bare string and now spells it CMD-SHELL. Docker
reads both as a shell command; only the YAML shape changes.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Both sidecar templates rendered a swarm service with no deploy: block at
all, so the kata placement constraint never applied and a non-kata
workload could land on a kata node under runsc. They also ran without
resource limits under swarm.
Include deploy.yml.j2 from both templates. Guard the replica count with
an explicit override, because deploy.yml.j2 otherwise falls back to
compose_replicas (the group size): these caches have no clustering, so a
replica per node would leave a consumer's session missing from the other
instances. Swarm already defaults to one task without a deploy block, so
the forced value preserves the current behaviour.
The central path is untouched: svc-db-redis/compose.yml.j2 reaches
deploy.yml.j2 via sys-svc-container/base.yml.j2, where the override is
undefined and the original resource_filter expression applies.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
DEPLOYMENT_MODE is binary (swarm / compose), so a negated `!= 'swarm'` gate
always means `== 'compose'`. Replace every negated gate across roles/ and
group_vars with the positive form for readability, and add a lint
(tests/lint/ansible/variables/test_no_deployment_mode_negation.py) that forbids
`DEPLOYMENT_MODE !=` in .yml/.yaml/.j2 with a `# nocheck:
deployment-mode-negation` escape.
The compose-verb / chdir / jinja-gate lint guidance messages now suggest the
positive form too; the gate matcher (utils/annotations/task_gate.py) and its
test inputs keep recognising the legacy `!= 'swarm'` so a nocheck-marked
exception is still detected as compose-only.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Shared single-host engine roles consumed via lookup('engine', ...), mirroring the central postgres/mariadb pattern: meta/services flags, overlay topology in meta/server, compose templates, per-consumer provisioning in 02_init. Lets apps drop their embedded sidecars and become unpinned/NFS-shareable in swarm.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5.5