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
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.