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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2025-10-20Kubernetes Blog
7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)
7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them) 1. Skipping resource requests and limits How to avoid it: 2.
#kubernetes - 2025-10-20CNCF
Adding distributed tracing to AI Gateway: My LFX mentorship journey
My background and preparation Application strategy: Contribute first, apply later Deep product experience Proactive problem solving Why this approach is important Project core: Adding distributed tracing to AI gateway The problem to solve Project goals Design approach Important lessons from the development process Critical testing strategy lessons Key takeaways Community collaboration Project results and value Implemented features How to experience the distributed tracing feature Personal gains Advice for students who want to participate in open source LFX mentorship application strategy Project execution advice Conclusion Posted on October 20, 2025 by Zhengke Zhou CNCF projects highlighted in this post In today’s rapidly evolving AI landscape, effectively monitoring and debugging AI Gateways has become a critical challenge. This article shares my complete experience through the LFX Mentorship program, where I added OpenTelemetry distributed tracing support to kgateway’s AI Gateway functionality.
#cncf - 2025-10-19KodeKloud Blog (Kubernetes)
CKA Exam Verification Guide
Exam Setup - The Speed Booster (Optional, But Highly Recommended!) Should you set this up? Good news about autocomplete: The time-saving aliases: Why these specific aliases? Configure vim for YAML editing: Author's recommendation: 1. Storage (10% of the exam) StorageClass Verification Dynamic Provisioning Test PV/PVC Binding Access Modes & Reclaim Policies 2.
#kodekloud #kubernetes - 2025-10-18Kubernetes.dev Blog
Blog: Spotlight on Policy Working Group
Spotlight on Policy Working Group Introduction About Working Groups Policy WG Challenges (Note: The Policy Working Group has completed its mission and is no longer active. This article reflects its work, accomplishments, and insights into how a working group operates.
#kubernetes #community - 2025-10-18Kubernetes Blog
Spotlight on Policy Working Group
Spotlight on Policy Working Group Introduction About Working Groups Policy WG Challenges (Note: The Policy Working Group has completed its mission and is no longer active. This article reflects its work, accomplishments, and insights into how a working group operates.
#kubernetes - 2025-10-17AWS Containers Blog (EKS)
Extending EKS with Hybrid Nodes: IAM Roles Anywhere and HashiCorp Vault
Extending EKS with Hybrid Nodes: IAM Roles Anywhere and HashiCorp Vault Solution overview Prerequisites PKI architecture IAM Roles Anywhere configuration Vault certificate management EKS Hybrid Nodes configuration Results Cleanup Conclusion About the author Amazon EKS Hybrid Nodes allows businesses to flexibly make use of compute resources outside of AWS by extending an Amazon Elastic Kubernetes Service (Amazon EKS) data plane beyond the AWS Cloud boundary. Use cases for EKS Hybrid Nodes include businesses who have goals or requirements focusing on data sovereignty, low latency communication, and government or industry regulations.
#eks #aws - 2025-10-17CNCF
Why Autonomous Infrastructure is the future: From intent to self-operating systems
When AI development meets AI operations Beyond automation: The three phases of infrastructure evolution Phase 1: Manual infrastructure (2010-2020) Phase 2: Automated infrastructure (2020-2025) Phase 3: Autonomous infrastructure (2025-2030) The deterministic + probabilistic convergence The end of infrastructure as a limiting factor From reactive fire-fighting to proactive intelligence Theulti-agent infrastructure lifecycle What makes infrastructure truly autonomous The five levels of infrastructure autonomy Beyond today: The infrastructure AGI vision Building the future together Making the transition: From vision to reality Posted on October 17, 2025 by Asif Awan, StackGen Executive summary: We’re at an inflection point where AI-generated code meets AI-managed infrastructure, creating truly self-sustaining systems. This convergence transforms infrastructure from static pipelines to autonomous systems that build, govern, heal, and optimize themselves.
#cncf - 2025-10-17CNCF
KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Platform Engineering Day
Who will get the most out of attending this event? What is new and different this year? What will the day look like? Should I do any homework first? Posted on October 17, 2025 by Co-Chairs | Paula Kennedy, Stacey Potter, and Matt Menzenski This marks the fourth edition of Platform Engineering Day, following successful events in Paris (2024), Salt Lake City (2024), and London (2025). We’re excited to continue exploring case studies and deep technical dives as platform engineering practices mature.
#cncf - 2025-10-17Redhat Blog
Friday Five — October 17, 2025
Friday Five — October 17, 2025 Red Hat Brings Distributed AI Inference to Production AI Workloads with Red Hat AI 3 SiliconANGLE - Red Hat AI 3 targets production inference and agents Beyond the model: Why intelligent infrastructure is the next AI frontier Spotlighting partners who put innovation into action Channel Futures - NetApp Updates Enterprise Storage Lineup, Teams with Red Hat About the author Red Hat Corporate Communications More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Introducing Red Hat AI 3, a unified, open enterprise AI platform that enables distributed LLM inference with llm-d across hybrid environments and sets the stage for scalable agentic AI. Learn more Red Hat's Joe Fernandes discusses Red Hat AI 3, with enhancements across Red Hat AI Inference Server, Red Hat Enterprise Linux AI, and Red Hat OpenShift AI, into one platform.
#kubernetes - 2025-10-17Redhat Blog
Optimizing energy efficiency on Red Hat Enterprise Linux
Optimizing energy efficiency on Red Hat Enterprise Linux Testing methodology Measuring network throughput Measuring CPU utilization Computational efficiency Network-intensive process operating regimes Single process Multi-process Saturated Optimizing workloads for hardware locality NUMA-aware resource allocation for network-intensive processes Pinning interrupts and processes Hardware environment in the test Evaluating computer system power consumption External power meter System utility Platform management Normalizing performance against power consumption A note about power supplies Mitigation strategies Use lower-rated power supplies Enable hot standby mode Measure DC output directly Benefits of considering PSU efficiency Conclusion Red Hat Ansible Automation Platform | Product Trial About the authors Adam Okuliar Otto Šabart More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The energy efficiency of data centers and high-performance systems is becoming increasingly important. Energy costs can make up a substantial portion of the operating expenditure (OPEX) budget, potentially serving as a critical factor in the success or failure of a business.
#kubernetes