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Drift Away: The Hidden Risk of Large-Scale Kubernetes Environments
Configuration drift is a silent but persistent challenge in managing Kubernetes environments at scale. Whether you’re running workloads across multiple clusters in on-premises data centers, cloud providers, or edge locations, the risk of drift increases exponentially as environments grow. According to a Komodor survey, 40% of Kubernetes users report that configuration drift negatively impacts the stability of their environments.
[DEMO] Komodor Kubernetes Management Platform 2025
Amit Bar-Oz, Sr. Solution Architect at Komodor, showcasing the all-encompassing capabilities of Komodor's Kubernetes Platform, including first-class-citizenship support for cluster add-ons, CRDs, and ecosystem integrations.
#038 - Kubernetes Supercharging Particle Physics with Ricardo Rocha (CERN)
Ricardo from CERN, who leads the platform infrastructure teams, discusses CERN's significant role in particle physics research with the Large Hadron Collider. The conversation covers how CERN manages the massive amounts of data generated from experiments using a worldwide computing grid. Ricardo shares CERN's journey with adopting Kubernetes for various applications, including critical systems controlling detectors and accelerators. He also touches upon CERN's involvement with the CNCF and the Kubernetes community.
Drift Detection in Kubernetes
When the increasingly popular strategy of configuration as code (CaC) is used to develop infrastructure, it’s known as infrastructure as code (IaC). Today, IaC is quickly becoming entrenched in development processes, especially in conjunction with Terraform and Kubernetes. Yet, although IaC (and CaC) bring immense value, they can also lead to a major problem: configuration drift.
[Webinar] Kubernetes Health Management with Komodor
Modern Kubernetes environments are increasingly growing in scale and complexity. While application performance monitoring and infra-observability tools were once sufficient to maintain reliability, they are ill-equipped to handle the distributed and ever-changing nature of dozens or hundreds of Kubernetes clusters.
#037 - Problem First, Kubernetes Second: Insights from Ahmed Bebars (New York Times | CNCF)
In this episode of Kubernetes for Humans, we speak with Ahmed Bebars, a Principal Engineer at the New York Times and a CNCF Ambassador, who offers a unique perspective on cloud native technologies. Ahmed recounts his professional journey in accounting before transitioning into the technology sector, leading to his current deep involvement with the Kubernetes ecosystem. He shares his initial introduction to Kubernetes almost a decade ago, recognizing its capabilities in container orchestration.
AIOps for Kubernetes (or KAIOps?)
With the growing complexity of cloud-native applications, DevOps teams often face challenges when setting up and maintaining Kubernetes observability. AIOps (artificial intelligence for IT operations) makes the process more manageable using AI and machine learning for monitoring, troubleshooting, and performance optimization. In this article, you’ll learn about the common challenges in Kubernetes observability and how AIOps can provide proactive and effective solutions.
