Improving Reliability during Kubernetes Migrations

As you begin your migration to Kubernetes, you want to be certain that your applications and services will be resilient. Adopting Kubernetes is often fraught with unexpected reliability problems, especially when migrating from a more traditional monolithic architecture.

This white paper presents the top reliability risks teams face when adopting and migrating existing applications to Kubernetes.

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About the Authors

Jordan Pritchard

Director of Infrastructure & Site Reliability Engineering

Michael Kehoe

Architect of reliable, scalable infrastructure

Rodney Lester

Technical Lead, Reliability Pillar of Well Architected Program

Tammy Butow

Principal SRE

Jay Holler

Manager, Site Reliability Engineering

Ramin Keene

Founder

In this white paper, we cover

  • What a microservice architecture is and how it differs from a monolithic architecture
  • Reliability concerns and strategies for migrating a monolithic application to microservices
  • Recommendations for successfully completing your Kubernetes migration with minimal impact to reliability or downtime

  • Incident classification: SEV descriptions and levels, and SEV and time-to-detection (TTD) timelines

  • Organization-wide critical service monitoring, including key dashboards and KPI metrics emails

  • Service ownership and metrics for organizations maintaining a microservices architecture

  • Effective on-call principles for site reliability engineers, including rotation structure, alert threshold maintenance, and escalation practices

  • Chaos Engineering practices to identify random and unpredictable behavior in your system

  • Monitoring and metrics to detect incidents caused by self-healing systems

  • Creating a high-reliability culture by listening to people in your organization

Migrating a monolithic application to Kubernetes has risks, but reliability doesn’t have to be one of them. Understanding and planning out your migration beforehand will limit your risk of downtime, reduce adoption time, build resilience to common failure modes, and help onboard your engineers faster.

Over a decade of collective experience unleashing chaos at companies like

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