27. Availability Probe Framework

Status

Accepted

Context

As an Konflux developer building functionality for the platform, I want to be able to easily visualize and comprehend the stability and availability of deployed systems in order to inform and influence future work towards improving the overall system reliability.

Such indication should tell us the overall uptime of Konflux with respect to services under the control of Konflux developers.

Konflux is defined to be available at a given moment if all of its components are reporting to be available at that given moment, and unavailable otherwise.

A component is defined to be available at a given moment if all of its availability probes are reporting to be available at that given moment, and unavailable otherwise.

A convention is required for providing the availability of a probe.

Once this is in place, those indicators can be aggregated in order to report the overall availability of Konflux.

Decision

Probes’ availability will be provided as a Prometheus metric. The metric will contain metric labels to allow differentiating between the different probes. When exported out of the cluster of origin, additional labels will be attached to the metric to mark the cluster in which the metric was generated.

Details

The availability Prometheus metric will be computed for each component based on the exit status of the latest execution of the CronJobs evaluating the component’s availability. Component owners will provide the implementation for each component’s CronJobs. By adhering to a specific standard (see naming convention below), results will be aggregated into a standardized Prometheus metric to report on availability (i.e. component owners will not be required to provide the translation mechanism).

It is up for each team to define what it means for its component(s) to be available. Fundamentally, a component should be reported as available as long as it’s capable of providing the service it aims to provide, and unavailable otherwise.

Each team will define CronJobs that will test the availability of their components. The Job started by each CronJob will terminate successfully if the test completes successfully, and will terminate with an error in case the test fails.

Kube-state-metrics is a Prometheus exporter generating metrics based on the Kubernetes API server. It generates Jobs and CronJob metrics that will be processed using Prometheus recording rules in order to generate Konflux’s availability Prometheus metric.

A single set of rules will be defined globally which will apply for all CronJobs.

The resulting Prometheus metric will identify each probe based on its CronJob name and the namespace in which the CronJob was defined.

Probes Requirements

A Job running for a probe is required to:

Probes Naming Convention

To allow generating the Prometheus metric only for relevant CronJobs, probe CronJob names should have a standardized format:

appstudio-probe- being a literal to be used in order to capture only the relevant CronJobs, and <probe_name> is a variable to be translated to a label in the resulting Prometheus metric that will correlate the value to the individual probe or check.

To allow aggregating the Prometheus availability metric per component, the namespaces in which the CronJobs will be created should have a standardized format:

<component_name> is the name of the component under which probes will be aggregated.

The nature and size of each service and component will dictate the number of probes it should have. E.g. some services may have multiple components, while some others may have just one. Some components may require multiple probes while others may require just one.

NOTE: The probe-name part of the CronJob name should be unique in the context of the CronJob’s namespace.

Probes Design Considerations

Considerations for defining probes’ CronJobs:

Consequences