
NVIDIA DSX Air provides a full‑stack simulation that lets cloud providers validate networking, GPU servers, storage and connectivity before any rack is shipped. Rafay layers a self‑service orchestration platform on top, enabling multi‑tenant, governance and workflow testing alongside the hardware simulation. Together they turn validated designs into reusable blueprints, allowing teams to test both technical and market scenarios ahead of hardware arrival. This combined approach promises faster AI platform rollouts and reduced operational risk for GPU‑focused cloud builders.

Grafana has introduced one‑click integrations for its Drilldown apps, enabling users to add panels to dashboards, create alerts, and save searches without leaving the exploration view. The updates also bring an enhanced OpenTelemetry log display that surfaces key metadata inline,...
Which tool is best for beginners starting DevOps? 👇 1️⃣ Docker 2️⃣ Linux 3️⃣ Git & GitHub 4️⃣ Kubernetes

Vite 8.0 replaces esbuild and Rollup with Rust‑built Rolldown, delivering 10‑30× faster builds while keeping the familiar plugin API. Rolldown, built atop the Oxc Rust library, is still in release‑candidate status, with minification in alpha. The new version is already...

Perk up when the DORA team does research into software delivery. The surveyed Google engineers to understand how AI tools impacted their work, and where they struggled. The advice is very actionable. https://t.co/PnaUMyiBLp https://t.co/mgU4WJb8SL

In this episode, Pete Milorovic announces Semaphore's new pricing model tailored for the AI-driven, always‑on CI/CD era. The plan separates compute costs from support and success services, lowers per‑minute rates for high‑performance F1 machines to $0.0075, and shifts self‑agent billing...
As someone who has burned more hours than he wants to think on server administration, a *lot* of the cruft of it gets transformatively easier with LLMs, and in lieu of an hour doing deferred maintenance you can spend an...
Multimodal AI workloads—combining text, images, audio, and video—are outpacing traditional AI in complexity, requiring heterogeneous accelerators, bursty scaling, and stateful pipelines. Kubernetes, equipped with GPU operators, MIG slicing, and advanced schedulers like Volcano and KubeRay, provides the core primitives to...

KiloClaw released a suite of March updates that make agents more durable and connected. Users can now link Google and GitHub accounts directly, while package installations via pip, uv, and npm persist across restarts. The default image now includes a...
Salesforce DevOps merges development and operations practices to accelerate the delivery of customizations, code, and integrations on the Salesforce platform. By adopting source‑driven development, version control, and automated pipelines, teams move away from ad‑hoc production changes toward repeatable, test‑driven releases....

Enterprise network automation hinges on strategic planning rather than just tool selection. Leaders must prioritize process maturity, governance, and skill development before deploying IaC platforms like Terraform or Ansible. A phased, high‑frequency task approach mitigates risk in brownfield environments, while...
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The article introduces AGENTS.md as a standardized, tool‑agnostic instruction file that makes code repositories agent‑native. It argues that AI coding agents fail mainly due to ambiguous repository context, not reasoning limits, and that a dedicated AGENTS.md layer solves fragmentation across...
Red Hat announced Day 0 support for NVIDIA’s Nemotron open‑model family, including Nemotron 3 Super, within its AI Factory platform. The integration delivers fully optimized, open‑source generative AI that runs on Red Hat AI Enterprise at the moment of model release. Red Hat will provide...

Betterleaks, an open‑source secrets scanner created by the original Gitleaks author, aims to supersede Gitleaks with a faster, more accurate engine. It scans directories, files, and Git repositories using customizable CEL rules and BPE tokenization, achieving 98.6% recall on the...
RT Multicloud != "just more clouds." It's divergent APIs, IAM models, pricing, and PaaS semantics across AWS, Azure, GCP, Oracle, and others. GenAI introduces a translation layer for configs, code, and policies. #MultiCloud @Star_CIO https://t.co/vBzM21vM14

System reliability engineering addresses hardware degradation, software bugs, and network partitions that can trigger cascading outages. The article distinguishes reliability from mere availability and stresses the need to eliminate single points of failure. It introduces Service Level Indicators, Objectives, and...

The post walks readers through turning a complex, distributed log‑processing stack—collectors, RabbitMQ, query engines, and storage—into a single Kubernetes deployment. By providing complete manifests, it shows how to launch the entire ecosystem with one command, while Kubernetes handles health checks,...

Modern microservice architectures often suffer cascading failures when a single downstream component slows or crashes, causing synchronous calls to block threads and exhaust memory. The blog explains how synchronous communication forces services to wait for network responses, leading to system-wide...
If your MCP server doesn't enforce data scopes, PII controls, and environment isolation, you're not "experimenting with agents" - you're opening side doors into production. #AI #DevOps #MCP https://t.co/7dcoLIKa0K

Modern microservices rely on asynchronous messaging to avoid cascading failures. The article contrasts Kafka and RabbitMQ, outlining each broker’s architecture, delivery guarantees, and typical use cases. RabbitMQ is described as a smart‑broker with a push model and fine‑grained routing, while...

The post details how to run the Qwen3.5-35B MOE model—featuring 35 B parameters, 4‑bit AWQ quantization, and a 131 K context window—on Nvidia DGX Spark using vLLM. Standard vLLM Docker images (e.g., nvcr.io/nvidia/vllm:26.01-py3) ship with Transformers versions that do not recognize the...

A real AWS Data Science pipeline looks like this: Raw data → S3 ETL → AWS Glue Query → Athena Training → SageMaker Deployment → Endpoints Monitoring → CloudWatch Add streaming with Kinesis and orchestration with Step Functions, and you have a full production ML platform. This is...
Google’s Android LLVM toolchain team announced that it has started using AutoFDO, an automatic feedback‑directed optimization technique, for building the Linux kernel in Android. By incorporating real‑world profiling data, the compiler can generate more efficient kernel binaries. Early measurements on...

The article recounts a three‑day debugging nightmare caused by a faulty document‑chunking strategy in an AI Retrieval‑Augmented Generation (RAG) pipeline, highlighting how traditional logging failed to surface the issue. It argues that AI systems require a dedicated observability stack—structured logging,...
If you followed my journey to try to build a batch job framework (below) for like three years well, here’s what I got done vibe coding 🤖 as a chaperone for naughty AI agents and chatbots in two weeks. To...
Debaudit, a new suite of verification tools, was announced to audit Debian source packages. It includes upstream2orig, git2dsc, and git2orig, each checking different stages of the source‑to‑binary pipeline. The tools confirm that upstream tarballs, Git repositories, and generated originals match...

Microsoft has released Patch 2 for Azure DevOps Server on March 13 2026, addressing a defect that could deactivate group memberships. The update applies to on‑premises installations that were deployed before the re‑published release and completes remediation for customers who previously ran the...

In this episode, host Michael Kennedy talks with Apache Airflow core contributors Yarek Patuk and Amag Desai about how they manage one of the world’s largest Python monorepos—over a million lines of code and 100+ sub‑packages—using modern tooling like UV,...
Have you ever worked in a company where developers get stucked in “ticket ops” this is meant for platform engineers, where developers need the manual approvals as a platform engineer you will be tasked to develop a system or product...

Grafana Assistant, an AI agent built into Grafana Cloud, now automates cloud cost optimization by translating natural‑language prompts into telemetry queries. It delivers 30‑day waste analyses, actionable recommendations, and transparent data without requiring PromQL expertise. Integrated with Model Context Protocol...
Grafana’s native PagerDuty integration dumps every alert label and annotation into the incident details, creating unreadable payloads. By adding a custom key named "firing" in the contact point’s Details section, users can override the default template and send only essential...

Deploying a model is harder than training it. 🚀 Here’s a simple ML → Production pipeline on AWS: Train model → Build API → Dockerize → Push to ECR → Deploy with Lambda → Serve predictions. Notebook models don’t create impact. Production models do.
Docker now enables developers to run Claude Code locally, connect it to external tools, and sandbox its actions. Using Docker Model Runner, Claude Code accesses an Anthropic‑compatible API, giving full control over data, infrastructure, and spending. The Docker MCP Toolkit...

Kubernetes 1.36 is slated for release on 22 April 2026, continuing the CNCF’s three‑times‑a‑year cadence. The update emphasizes security, bolstering Linux user namespaces to improve container isolation and refining the WatchCache for faster API queries. It also retires the Ingress‑nginx controller, positioning...
NanoClaw has partnered with Docker to run its open‑source AI agent platform inside Docker Sandboxes, providing enterprise‑grade isolation for autonomous agents. The integration leverages MicroVM‑based sandboxes, allowing agents to install packages, modify files, and access external systems without exposing the...

EXANTE replaced its manual Saturday‑only CRM deployments with a fully automated pipeline that now serves over 30 services across multiple jurisdictions. The new flow triggers on a Git tag, builds images, creates Jira tickets, posts to Slack, and uses Flux...

Buffer discovered seven background jobs running on Amazon SQS for up to five years despite providing no value. A recent repository consolidation allowed engineers to map queues and identify the orphaned workers, leading to their incremental removal. The cleanup eliminated...

Observability Day, a co-located event at KubeCon + CloudNativeCon Europe 2026, brings together CNCF observability project maintainers and practitioners. The program expands beyond traditional monitoring, highlighting AI-driven trace analysis, cost‑efficiency strategies, and large‑scale telemetry engineering. Featuring two parallel tracks, the...

Wow. @GarryTan (@ycombinator's CEO) just dropped the ultimate cheat code for software engineers. 🔥 He just open-sourced gstack, his personal toolkit that transforms Claude Code from a basic chatbot into an entire virtual engineering department. Instead of asking Claude to "build a feature"...
Agents fail at backends because they lack context. @insforge_dev V2 fixes this via a semantic layer & MCP 👀 → Connects Claude/Cursor directly to your backend → Auto-configs Postgres DBs, Auth, & S3 Storage → Deploys edge functions seamlessly Free and open-source 🧵↓ https://t.co/BZmifQ1pqL

A recent analysis highlights that Kubernetes reliability failures stem from the sheer velocity of machine‑speed control loops rather than tool or skill deficiencies. Deployments, autoscalers, and GitOps reconciliations can trigger cascading alerts that outpace human on‑call response, turning single incidents...
I don't want to read a giant troubleshooting guide, even a great one like this for GKE clusters. https://t.co/13E0PvzrMI Feed this as context into your agentic CLI (or use our @googlecloud Docs MCP) and send your agent down the right path faster.

The post outlines a production‑grade state management layer built on Kafka log‑compacted topics, featuring a keyed state producer, a consumer that materializes current snapshots, and a Redis‑backed query API. By retaining only the latest record per entity key, log compaction...
Your new backlog shouldn't "add AI." It's redesign feedback loops so models, pipelines, and platforms learn together. Think: model drift to incident response, feature flags to guardrails, SLOs to AI behavior. #AI #DevOps #Agile https://t.co/7dcoLIKa0K

The article demonstrates how to use the sqlpackage command‑line utility to detect schema drift between Azure SQL databases by comparing a DACPAC file against a target database and generating a delta script. It outlines a lightweight, scriptable workflow that avoids...
FluidCloud, a Pleasanton‑based startup, unveiled its Large Infrastructure Model (LIM), an AI engine that generates, translates, and validates Terraform code for multicloud environments. Unlike typical fine‑tuned LLMs, LIM combines a front‑end language parser with custom foundation models trained on synthetic...
Impressive work from @QodoAI Their extended mode does a great job finding more real code issues without adding lots of false alarms. That means code reviews stay accurate and less noisy. If your dev team deals with messy PRs, this could help you...

Created my own custom AI chat bot trained on my site data using Cloudflare AI Search/Workers and Cloudflare AI Gateway which has firewall, Guardrails option feature. Seems could be quite expensive to enable 🤔

Vehicle software updates are shifting from a single release mindset to staged rollouts that serve as safety evidence. Emerging regulations such as UN Regulation 156 and ISO 24089 require a software update management system, and a progressive rollout with measurable health gates...

OK, well. I ran /autoresearch on the the liquid codebase. 53% faster combined parse+render time, 61% fewer object allocations. This is probably somewhat overfit, but there are absolutely amazing ideas in this. https://t.co/dpEJw7NpL4