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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-01-23AWS Containers Blog (EKS)
Maximize Amazon EKS efficiency: How Auto Mode, Graviton, and Spot work together
Maximize Amazon EKS efficiency: How Auto Mode, Graviton, and Spot work together Solution overview Getting started Steps for scenario 1: Adopting AWS Graviton instances: Reset Amazon EKS Auto Mode cluster before proceeding to scenario 2 Steps for scenario 2: Adopting spot instances and handling workload restrictions: Key features of this NodePool: Key configuration aspects: Verification steps: Verifying workload placement Cleaning up Conclusion About the authors Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode streamlines the operation of your Amazon EKS clusters by automating key infrastructure components. This automation streamlines various operational tasks, allowing for more efficient resource allocation and management.
#eks #aws - 2026-01-23CNCF
The autonomous enterprise and the four pillars of platform control: 2026 forecast
Governing the autonomous enterprise Golden paths: The self-tuning, autonomous road Guardrails: Autonomous governance and zero-drift assurance Safety nets: Predictive reliability and auto-recovery Manual review workflows: The strategic human-in-the-loop Conclusion: Architecting for the agentic future Posted on January 23, 2026 by Asif Awan, Chief Product Officer and co-founder, Stackgen The promise of DevOps and Platform Engineering is to balance developer velocity with enterprise governance. In 2026, AI Agents move from being simple assistance tools to the core mechanisms that automate this balance.
#cncf - 2026-01-23OpenShift Blog
Northrop Grumman scales enterprise Kubernetes for AI and hybrid cloud with Red Hat OpenShift
Northrop Grumman scales enterprise Kubernetes for AI and hybrid cloud with Red Hat OpenShift Standardizing on Red Hat OpenShift Embracing a managed service for velocity and scale The push to hybrid cloud and GitOps Next stop: Red Hat OpenShift AI and high-performance computing Red Hat OpenShift Container Platform | Product Trial About the author Debbie Margulies More like this How DTCC uses GitOps to accelerate customer value and security Dell Technologies modernizes the developer experience with Red Hat OpenShift Dev Spaces Where Coders Code | Command Line Heroes What Kind of Coder Will You Become? | Command Line Heroes Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The journey to enterprise-wide Kubernetes adoption can be a "wild, wild west" of disparate environments and challenging security for some organizations. That's the landscape Northrop Grumman faced in 2020.
#openshift - 2026-01-23Redhat Blog
Zero trust workload identity manager generally available on Red Hat OpenShift
Zero trust workload identity manager generally available on Red Hat OpenShift Based on upstream SPIRE What zero trust workload identity manager delivers Agentic AI and the need for strong identity Why it matters Looking ahead Red Hat OpenShift Container Platform | Product Trial About the authors Anjali Telang Trilok Geer More like this Introducing OpenShift Service Mesh 3.2 with Istio’s ambient mode Context as architecture: A practical look at retrieval-augmented generation Data Security 101 | Compiler Technically Speaking | Build a production-ready AI toolbox Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share We’re excited to announce the general availability of zero trust workload identity manager , a Red Hat solution that delivers universal, runtime-attested identities for workloads in your cloud-native deployments. Modern applications run across multiple clusters, clouds, and regions, and traditional identity mechanisms—long-lived secrets, static certificates, or provider-specific Identity and Access Management (IAM)—struggle to keep up.
#kubernetes - 2026-01-22Tigera
Ingress Security for AI Workloads in Kubernetes: Protecting AI Endpoints with WAF
AI Workloads Have a New Front Door Why the Stakes Have Changed for Platform Teams Why AI Inference Changes the Ingress Security Model The High Cost of the “Successful” Request AI-Specific Ingress Threats Platform Teams Are Seeing Resource Exhaustion and LLM Jacking Prompt Injection & Input Abuse Data Exposure and the AI Pipeline The Ingress Blind Spot in Kubernetes Today Securing AI Ingress with Calico Ingress Gateway Integrated Web Application Firewall Identity-Aware Access Control Fine-Grained Rate Limiting for AI Workloads Real-Time Observability and Security as Code Security as an AI Enabler Secure Your AI Infrastructure Today Scale AI Safely with Calico For years, AI and machine learning workloads lived in the lab. They ran as internal experiments, batch jobs in isolated clusters, or offline data pipelines.
#tigera - 2026-01-22AWS Containers Blog (EKS)
Simplify Kubernetes cluster management using ACK, kro and Amazon EKS
Simplify Kubernetes cluster management using ACK, kro and Amazon EKS Solution overview Creating ResourceGraphDefinitions that encapsulate AWS resources to create EKS clusters. Using CEL expressions to extract generated fields Creating cross-account AWS resources using ACK Bootstrapping workload cluster with add-ons Granting IAM permissions to add-ons Putting It All Together Source code Conclusion About the authors As organizations expand their adoption of Kubernetes for a growing number of use cases, so does the number of operational processes that are related to the provisioning and operations of the Kubernetes clusters.
#eks #aws - 2026-01-22CNCF
LitmusChaos Q4 2025 update: community, contributions, and project progress
About LitmusChaos Project Updates & Releases Release 3.24.0 (December 2025) Release 3.23.0 (November 2025) Release 3.22.0 (October 2025) Innovation Spotlight: LitmusChaos MCP Server What is the LitmusChaos MCP Server? Hacktoberfest 2025 (The Month of Open Source) In-Person Meetup Events LitmusChaos x Hacktoberfest Meetup – Bangalore (October 4) Hacktoberfest Hyderabad Meetup (October 11) Resilience and Chaos Testing Meetup (December 6) Latest from the LitmusChaos Community User Stories: Community Content Monthly Community Meetings Monthly Contributors Meetings Videos and Blogs: Closing Thoughts Connect with LitmusChaos Posted on January 22, 2026 by Pritesh Kiri, Community Manager for LitmusChaos CNCF projects highlighted in this post As we enter the new year, we’re excited to share the Q4 updates from the LitmusChaos community. Over the past few months, the chaos engineering ecosystem and the LitmusChaos community have continued to grow steadily, driven by strong participation, thoughtful contributions, and meaningful collaboration across the globe.
#cncf - 2026-01-22VMware Cloud Foundation Blog
Automating Desired State Configuration using vSphere Configuration Profile APIs – Part 1
Automate Desired State Configuration Getting Started with vSphere Configuration APIs Enable VCP 1. Authenticate with vCenter Server 2.
#vmware #cloud-foundation #kubernetes - 2026-01-22Kubernetes Blog
Headlamp in 2025: Project Highlights
Headlamp in 2025: Project Highlights Updates Joining Kubernetes SIG UI Linux Foundation mentorship New changes Multi-cluster view Projects Navigation and Activities Search and map OIDC and authentication App Catalog and Helm Performance, accessibility, and UX Plugins and extensibility Headlamp AI Assistant New plugins additions Other plugins updates Plugin development Security upgrades Conclusion This announcement is a recap from a post originally published on the Headlamp blog. Headlamp has come a long way in 2025.
#kubernetes - 2026-01-22OpenShift Blog
New observability features in Red Hat OpenShift 4.20 and Red Hat Advanced Cluster Management 2.15
New observability features in Red Hat OpenShift 4.20 and Red Hat Advanced Cluster Management 2.15 Cluster observability operator 1.3 Observability signal correlation for Red Hat OpenShift Incident detection for Red Hat OpenShift Integrate incident detection with OpenShift Lightspeed APM dashboard with Red Hat Distributed Tracing OpenShift monitoring OpenShift logging Streamlined storage with AWS S3 output Enhanced CloudWatch and S3 Integration with Flexible Authentication Loki performance troubleshooting made simple Smarter monitoring with Loki conditional alerting rules OpenTelemetry and Tracing Red Hat Build of OpenTelemetry Tempo Operator New observability features in Red Hat Advanced Cluster Management for Kubernetes Right-sizing for virtualization (Technology Preview) Explore the new features Red Hat OpenShift Container Platform | Product Trial About the authors Roger Florén Jamie Parker Vanessa Martini Eric Evans Simon Herlofsson More like this Introducing OpenShift Service Mesh 3.2 with Istio’s ambient mode How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency Technically Speaking | Taming AI agents with observability You Can’t Automate Collaboration | Code Comments Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The latest release of the Red Hat OpenShift cluster observability operator 1.3 introduces observability signal correlation, incident detection, application performance monitoring (APM) dashboard, and more. These features aim to revolutionize how organizations monitor, troubleshoot, and maintain containerized environments by reducing complexity and accelerating issue resolution.
#openshift