The evolution of Kubernetes mTLS: from manual logic to Ambient Mesh
Manual mTLS vs. Service Mesh: Which is right for your Kubernetes cluster? Explore the operational risks of manual setups and the benefits of node-based encryption.
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The latest News and Information on Containers, Kubernetes, Docker and related technologies.
The Fastest Way to K8s: How Qovery Builds Self-Service Environments in Minutes
Slash Kubernetes provisioning time from days to minutes. Discover how Qovery’s self-service ephemeral environments automate infrastructure, eliminate bottlenecks, and accelerate developer velocity.
From Promise to Practice: What Real AI SRE Can Actually Do When Production Breaks
We’ve written before about the advantages of training an AI SRE on real telemetry data rather than generic Kubernetes documentation. We’ve explained why RAG augmentation based on actual high-scale workload patterns produces better results than LLMs trained on generic scenarios or forum threads. The theory makes sense, the architecture is sound, and the approach is defensible.
Podman vs Docker 2026: Security, Performance & Which to Choose
When it comes to containerization technologies, Podman and Docker are the two giants that often come up in conversation. Both have revolutionized how we build, deploy, and manage containers, but what sets them apart? In this blog, we'll dive deep into a side-by-side comparison of Podman and Docker. We'll cover everything from architecture to security, performance, and compatibility.
EP #3: Cloud, Kubernetes, and the Evolution of DevOps - The Open Source Observability Podcast
Kris Buytaert is the Co-founder of Inuits, O11y, and ‘DevOps Days,’ an internationally-attended series of DevOps events. He is a passionate advocate of Free and Open Source Software, and is accredited by the community as being a founding instigator of the DevOps movement. In this episode we trace the history of the DevOps movement from its intersection with open source and Agile, through the evolution of Cloud technologies and tools such Docker and Kubernetes, to present day best practices for CI/CD, monitoring, and observability.
Zero code tracing: Kubernetes observability with Logz.io and eBPF
Distributed tracing is a core tool for operating modern microservices platforms. For SREs and DevOps teams, it is often the fastest way to understand latency issues, service dependencies, and unexpected failure modes. But achieving comprehensive tracing coverage is resource-intensive and time-consuming. It usually requires application changes, language-specific instrumentation, agent lifecycle management, and ongoing coordination with development teams.
The Rise of AI Agents and the Reinvention of Kubernetes: Ratan Tipirneni's 2026 Outlook
Prediction: The next evolution of Kubernetes is not about scale alone, but about intelligence, autonomy, and governance. As part of the article ‘AI and Enterprise Technology Predictions from Industry Experts for 2026′, published by Solutions Review, Ratan Tipirneni, CEO of Tigera, shares his perspective on how AI and cloud-native technologies are shaping the future of Kubernetes.
Kubernetes v1.35: The Release That Tackles the Industry's $100 Billion Waste Problem
Kubernetes v1.35 dropped a couple of weeks ago, and while the headlines focus on gang scheduling and in-place resizing going GA, there’s a bigger story here that every platform team needs to understand: Kubernetes is finally acknowledging that cluster utilization is fundamentally broken. At Komodor, we work with hundreds of organizations running Kubernetes at scale.
7 Kubernetes Predictions for 2026 - AI Will Push SRE to its Limit
As AI workloads shift from training to massive-scale inference, SRE teams are about to feel even more pressure. GPU-heavy computing is breaking the assumptions today’s clusters were built on, while enterprises are beginning to trust autonomous operations and cost pressure is pushing consolidation across the cloud-infrastructure stack.
From a simple CLI PaaS to a unified DevOps Platform (2020 2026)
Six years of Qovery, and the philosophy behind every pivot.