The current landscape of open-source software (OSS) in enterprises is characterized by a strategic shift towards open-source solutions for critical infrastructure and development needs. Enterprises increasingly rely on OSS to power their applications, manage data, and automate their deployment pipelines, making OSS an integral part of the software development lifecycle.

In recent months, AWS has announced significant changes to its Amazon Elastic Kubernetes Service (EKS) pricing structure, particularly concerning extended support for older K8s versions. This change is a crucial development for organizations that rely on AWS for their Kubernetes clusters, as it introduces potential cost increases for maintaining outdated versions.

In this multi-part series, we are taking a deep dive into everything from the technical review and assessment required to make the correct decision around substantial infrastructure migrations, through the practical hands-on work of migrating from legacy systems to Kubernetes and cloud-native environments.

Kubernetes has several components that produce logs and events containing information on everything that has happened in a Kubernetes cluster. Keeping track of all this data becomes extremely challenging when you run Kubernetes at a very large scale. With so many components generating logs, organizations need a centralized place to see it all. But this is only half your problem. You also need to correlate logs coming from different components to draw the right conclusions and take effective actions.

Kubernetes is now much past a hyped-up buzzword and has become nearly the de facto platform for microservices, enabling the flexibility and scalability modern engineering organizations require. It’s no surprise then that many organizations still running on legacy platforms are exploring how to migrate to cloud-native platforms like Kubernetes.