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.