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One challenge we've been thinking about recently is the amount of time spent assembling context during incident response.
The information often already exists across CMDBs, monitoring systems, and incident management platforms, but engineers still have to correlate it before they can act.
Here's a short write-up on a three-stage AI SRE workflow for impact analysis, alert classification, and incident context management.
Followingthe recent overviewof newly added CNCF projects in 2025, the next batch of Open Source tools for Cloud Native needs include: - KitOpsfor packaging AI/ML models into all-in-one bundles and deploying them. - OpenTofu, a Terraform fork created by the community. - kagent, a framework for buildi..
⚓ How do you ensure a yacht and fleet management platform stays available 24/7, even across challenging maritime networks? Discover how 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 delivers 𝘩𝘪𝘨𝘩 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 for 𝙄𝙔𝘾 𝘽𝙇𝙐𝙀 with intelligent load balancing, SSL offloading, API routing, and resilient failover. R..
A security researcher used an AI fuzzing harness against 1,500+ Google APIs and earned $500,000 in bug bounties, surfacing access-control flaws across Google Voice, Widevine, AdExchange, and internal Cloud Console GraphQL endpoints... read more
Devarsh Ranpara builds a single-input perceptron from scratch in Python with browser demos, using the weight, bias, and decision boundary to show why a line forced through zero cannot separate classes that sit far from it... read more
The Claude Code team catalogs Anthropic's hundreds of internal skills into 9 categories, arguing the best skills fit one cleanly and that verification skills deliver the highest measurable gains, worth an engineer-week each... read more
Aafaq Zahid open-sourced Keel, a Go microservices framework he extracted from eight years of production systems... read more
Alex Ewerlöf walks through running open-weight models likeGemma 4locally for agentic coding via LM Studio, wiring them into Copilot and Pi as custom endpoints, with the practical traps around context length, KV-cache quantization, and cold-start prompt processing... read more
The Kubernetes image promoter no longer replicates container image signatures across regions. The rewrite drops that replication entirely, cuts latency, and simplifies the codebase, while keeping signature verification working seamlessly for end users. Next, the project is moving to OCI 1.1 referrer.. read more
This post discusses the challenges of leveraging distributed resources for AI workloads and the role of Kubernetes in addressing these challenges. The k0smos stack is highlighted as a solution for operating geo-distributed AI infrastructure, divided into three technical layers: k0s, k0smotron, and k.. read more
