Edge computing is a decentralized computing approach that processes data and performs computations near the source of the data—local servers, smart devices, or edge nodes—rather than depending on a centralized data center. This reduces latency, which is often a result of data having to travel long distances and improves bandwidth efficiency. Discover how edge computing and Kubernetes revolutionize data processing and deployment.

The Kubernetes ecosystem is undergoing a significant transformation, and the trends emerging at KubeCon highlight just how dynamic this space has become. Traditional Application Performance Monitoring (APM) providers are rapidly shifting focus to Kubernetes Performance Monitoring (KPM), reflecting the growing need for specialized observability in increasingly complex environments.

As someone who is building a platform that is intended to make Kubernetes operations easier for everyone––I’ve learned a lot about production Kubernetes operations. The main thing I’ve noticed folks getting wrong, is that it isn’t simply a platform, it’s an entire ecosystem.

In today’s fast-paced technology landscape, creating a robust developer platform is essential for streamlining software development processes and ensuring efficient collaboration across teams. In this talk, we will explore how you can build your own developer platform in just 90 minutes using a powerful combination of Backstage, ArgoCD, and Kubernetes (K8s).

In today’s cloud-native world, enterprises increasingly manage multiple Kubernetes clusters across public and private clouds, edge, and on-premises environments. As clusters proliferate, efficient management is key to ensuring consistency, security, and reliability across the fleet.

In the wake of Broadcom’s acquisition of VMware, the world of virtualization is in flux. Customers, especially those reliant on VMware’s Pivotal Cloud Foundry (PCF), are feeling uncertain about the future. This blog post is designed to guide customers through the specific hurdles they now face due to the acquisition, explore Kubernetes (K8s) as an alternative to PCF, and discuss how Komodor can help with a K8s migration.

In the ever-evolving DevOps and site reliability engineering (SRE) landscape, Kubernetes stands out as a pivotal technology, revolutionizing how we deploy, scale, and manage containerized applications. K8s offers powerful orchestration capabilities, ensuring our applications are resilient and can scale seamlessly to meet varying demands. However, as robust as Kubernetes is, managing it efficiently requires significant expertise and effort.

For years, AI in operations was plagued by noise—overwhelming alerts, false positives, and a lack of actionable insights. The tools available promised much, but often delivered little, leading to a loss of trust. However, with the groundbreaking work by platforms like OpenAI and the emergence of trustworthy AI tools like Copilot, the potential of AI in operations has never been nearer and clearer.

Komodor, the company that automates Kubernetes management, today announced Klaudia, the first Generative AI (GenAI) agent for troubleshooting and remediating operational issues, as well as optimizing Kubernetes environments. Integrated within the Komodor Kubernetes Management Platform, Klaudia simplifies and accelerates root-cause analysis, empowering both platform and application teams with precise diagnostics to resolve issues with unprecedented speed and precision.

GitOps is a framework that combines the principles of software development and continuous integration, continuous delivery (CI/CD) to automate and manage application configurations and infrastructure using Git.