Top 10 Kubernetes Design Patterns

Foundational Patterns

These patterns are the fundamental principles for applications to be automated on k8s, regardless of the application’s nature.

• Health Probe Pattern

  This pattern requires that every container must implement observable APIs for the platform to manage the application.

• Predictable Demands Pattern

  This pattern requires that we should declare application requirements and runtime dependencies. Every container should declare its resource profile.

• Automated Placement Pattern

  This pattern describes the principles of Kubernetes’ scheduling algorithm.

Structural Patterns

These patterns focus on structuring and organizing containers in a Pod.

• Init Container Pattern

  This pattern has a separate life cycle for initialization-releated tasks.

• Sidecar Pattern

  This pattern extends a container’s functionalities without changing it.

Behavioral Patterns

These patterns describe the life cycle management of a Pod. Depending on the type of the workload, it can run as a service or a batch job.

• Batch Job Pattern

  This pattern is used to manage isolated atomic units of work.

• Stateful Service Pattern

  This pattern creates distributed stateful applications.

• Service Discovery Pattern

  This pattern describes how clients discover the services.

Higher-Level Patterns

These patterns focus on higher-level application management.

• Controller Pattern

  This pattern monitors the current state and reconciles with the declared target state.

• Operator Pattern

  This pattern defines operational knowledge in an algorithmic and automated form.