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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Build and test your first Kubernetes operator with Go, Kubebuilder, and CircleCI

Kubernetes operators extend the Kubernetes API with custom logic, automating tasks like provisioning, configuration, and policy enforcement. Instead of managing these tasks manually or with ad hoc scripts, Operators codify your workflows into controllers that run natively inside the cluster. In this tutorial, you’ll build a simple operator using Go and Kubebuilder; a framework that scaffolds much of the boilerplate so you can focus on core logic.

The 9 Essential NOC Metrics to Master for Operational Excellence

In today's fastpaced IT landscape, modern Network Operations Centers (NOCs) are the backbone of reliable infrastructure for businesses of all sizes. For MSPs, leveraging managed NOC services can dramatically improve uptime, security, and overall client satisfaction. The global NOC as a Service market is projected to grow from about $3.7 billion in 2025 to over $9 billion by 2034, underscoring rising demand for expert, alwayson network oversight.

Cloud Hosting for Crypto: Flexible, Scalable, and Battle-Tested Solutions for the Future

Crypto cloud hosting revolutionizes how projects handle unpredictable market surges, offering elastic pay-per-use scaling, serverless functions triggered by on-chain events, and hybrid public/private cloud architectures that meet strict compliance needs. hosting-bitcoin.com operates Kubernetes 1.30 clusters enhanced with Cilium eBPF networking and Multus CNI for multi-homed pods, effortlessly supporting Solana validators processing 65k transactions per second (TPS) alongside Ethereum Layer-2 sequencers delivering sub-block finality.

How VETRO's Network Inventory Management Software Solves Data Chaos for Fiber Providers

Fiber network operators often grapple with fragmented data, leading to inefficiencies and operational challenges. In many organizations, critical information is scattered across spreadsheets, legacy systems, and proprietary databases. These silos make it difficult for teams to access the latest network information, leading to outdated records, miscommunication between departments, and delays in service delivery. Moreover, reliance on manual data entry and inconsistent data formats can introduce errors, further complicating the maintenance of data accuracy and integrity.

A year of documentation-driven development

For many software teams, documentation is written after features are built and design decisions have already been made. When that happens, questions about how a feature is understood or used often don’t surface until much later. A little over one year ago, our team began to recognize this pattern in our own work. Features generally functioned as intended but were difficult to use or explain. Documentation lagged behind releases.

Why Your AI Code is Breaking (And How to Fix It) #speedscale #aicoding #aiagents #code #devops

New data from CodeRabbit shows AI makes 70% more errors than humans—mostly in logic. Stop shipping "AI Vibes" to production. Use the new Testing Pyramid: Deterministic (Validation) Record & Replay (Mocking) Probabilistic (Vibes) Don't let your agents break prod.

MCP: Why AI Needs Git Intelligence

GitKraken CTO Eric Amodio breaks down the Model Context Protocol (MCP) and explains why Git intelligence is critical for AI agents at GitKon 2025. In this session, Eric covers: What MCP is and why every major AI company adopted it Why AI needs Git history, not just file system access How GitKraken MCP removes Git pain safely The future of agentic developer workflows How Commit Composer uses AI to organize commits without losing data.

AWS Data Exchange Guide: Use Cases, Pros, Cons, And Pricing

Third-party data now drives forecasting, analytics, and machine learning across modern cloud teams. But acquiring it has long meant custom contracts, delayed access, and limited visibility into how data costs scale inside analytics workflows. AWS Data Exchange reduces much of that friction by integrating third-party data into the AWS ecosystem.