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provisioning · cross-provider

Services (zop-helm deployment chart)

category
Application Delivery

What does zop.dev create for Services (zop-helm deployment chart)?

ZopDay deploys each service as a Helm release of the `zop/service` chart (version 0.0.31). It sets the image, port, replica count, environment variables, a liveness path that turns on both probes, CPU and memory bounds, and an ingress host or load balancer. The chart's own alert rules cover crash-loop, not-ready and high CPU or memory.

Module backing Services (zop-helm deployment chart).
Field Value
Cloudcross-provider

A service in zop.dev is a containerized application deployed to a namespace with production defaults: autoscaling, health probes, alerts, and ingress are part of the spec, not an afterthought.

One Helm release covering deployment to alerts

A Helm release from zopdev/helm-charts covering the Deployment, HPA, PodDisruptionBudget, Service, ingress, probes, config and secret mounts, and alert rules.

Ports, probes, scaling limits, and mounts

Terminal window
ZopDay sets: name (plus serviceName and fullnameOverride on the deploy-job path), image, httpPort, minReplicas, env, imagePullSecrets, heartbeatURL plus liveness and readiness probes (when a liveness path is given), minCPU, maxCPU, minMemory, maxMemory, nginx host, TLS secret name and annotations for ingress class, TLS issuer and any you add (when exposed through ingress), serviceType (when exposed through a load balancer). Every other chart value stays at the chart default.

What the chart’s alerts watch by default

The chart’s own alert rules cover crash-loop, not-ready, and high CPU or memory out of the box.

Alerting is part of the deploy

Every service ships with the chart’s alert rules active from the first deploy: crash-loop, not-ready, and high CPU or memory. They run on the cluster’s prometheus-operator stack, which the deploy baseline installs when the cluster has none. To get them through ZopDay’s notification channels, turn on Service Alerts for the space; a per-service override can switch one noisy service off. That ordering is the point: the alert exists from the first deploy, so once Service Alerts is on, the first bad rollout pages someone instead of being discovered by users. A failed deploy raises its own alert as well.

Requests are the real bill

The min/max CPU and memory inputs do double duty: they bound each pod, and in aggregate they drive cluster autoscaling, since requested-but-unused capacity still forces nodes into existence. The replica count then multiplies whatever per-pod appetite was declared. When a cluster’s node bill climbs without traffic growth, over-requested services are the usual cause, and the fix is in these fields rather than in the node pools.

The HPA and PDB work as a pair

Autoscaling handles load; the PodDisruptionBudget (min_available) handles survival during node drains and upgrades. Configured together, as the spec encourages, a service scales up under pressure and cannot be drained below its floor during maintenance. Configured apart, the classic failure appears: an HPA-scaled service reduced to a single pod at the exact moment a node upgrade evicts it.

What ZopDay leaves at chart defaults

The chart carries more values than ZopDay sets, such as embedded-database volumes, database SSL and messaging flags. ZopDay does not send them, so they stay at the chart’s defaults. Keep that in mind when reading the chart’s documentation: a value listed there is not necessarily a field you can set from ZopDay.

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472 rule families across 353 resource types on 22 platforms. Every threshold, metric, and IAM action is documented on these pages before you grant anything.

472 rule families documented
353 resource types covered
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