3 min read Integrations with Backstage and Port empower developers to troubleshoot and optimize K8s workloads within existing workflows TEL AVIV and SAN FRANCISCO – May 21, 2025 – Komodor, the company that automates Kubernetes operations, health, performance, and cost management, today announced the integration of the Komodor platform with Internal Developer Portals (IDPs), starting with built-in support […]
6 min read The Essential Survival Guide for Platform Engineers: Navigating Kubernetes Challenges with Komodor
9 min read In this blog post, I want to focus on the exciting new features that v1.33 brings and what it means for all of us.
5 min read Komodor’s new add-on support for autoscalers provides unparalleled visibility into the behavior of autoscalers in your K8s environments. This ensures they perform efficiently and avoid common pitfalls while integrating effectively within your Kubernetes systems. By offering real-time insights, automated troubleshooting and proactive optimization, Komodor enhances your understanding of autoscaler dynamics and helps prevent costly mistakes.
7 min read KubeCon is packed with cutting-edge content, especially for seasoned Kubernetes practitioners. With hundreds of sessions spanning operations, observability, platform engineering, and AI-driven automation (AIOps)
4 min read Komodor introduces Drift Management, which allows organizations to detect, analyze, and resolve drift at scale—eliminating uncertainty, reducing downtime, and strengthening governance across their clusters.
3 min read New full-cycle capabilities detect, investigate, and remediate configuration drift across Kubernetes cluster fleets; ensuring consistency, reliability and security at scale.
6 min read Although IaC (and CaC) bring immense value, they can also lead to a major problem: configuration drift. In this article, we will take a closer look at this issue and explore different methods of keeping systems in their intended state.
6 min read This article will present the steps involved in running AI workloads on Kubernetes. We will explore the different steps, from data preparation to serving AI models, and see how several tools can help as well as discuss their drawbacks.
