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organizations that rely on AWS for their Kubernetes clusters, as it introduces potential cost increases for maintaining outdated versions.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.

Kubernetes continues to play a pivotal role in orchestrating containerized applications with its cloud-native capabilities. Of course, capabilities like flexibility and scalability mean organizations must be extra vigilant, especially when it comes to maintaining the health and efficiency of Kubernetes clusters.

Kubernetes is the linchpin for orchestrating containerized applications. However, with great power comes great complexity. As seasoned professionals in the tech sphere, we understand that the true challenge lies not in deploying Kubernetes clusters, but in ensuring their continuous reliability and efficiency at scale. This is where Komodor steps in, redefining the landscape of Kubernetes management with our latest suite of reliability management capabilities.

Komodor’s own Marino Wijay and other community members share insights from KubeCon EU 2024, exploring the latest developments in cloud-native technology and their experiences. Marino and the team will be having discussions on emerging trends, innovative solutions, and more in this engaging session.

A few years ago, lift and shift to the cloud was all the rage––with the companies building those solutions being snatched up at exorbitant selling prices to the biggest cloud vendors. Nearly a decade, and multiple failed lift and shift migration stories later, we have now learned the hard way that slow and steady wins the race.

History has a tendency to repeat itself. This is because bad habits and anti-patterns are hard to break. And this remains the case with the latest sought-after engineering unicorn––the “Kubernetes expert”. These days, there is a veritable gold rush to hire the best and brightest Kubernetes wizards. Like all forms of expertise––this gold is rare, and as a result––is also costly. But this isn’t a new phenomenon in the technology world.