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

New Feature Friday: Ask Your Engineering Metrics Anything | Cortex Engineering Intelligence for MCP

What if you could analyze your engineering metrics — just by asking a question? Now you can. Introducing Engineering Intelligence for MCP, a new Cortex feature that lets you query your engineering data through AI systems like Claude or Cursor. No dashboards. No BI setup. Just ask: “What’s driving our cycle time?” “Show me Q3 deployment trends.” “Where are our bottlenecks?” Cortex connects your real engineering data to your favorite AI client, so you can get instant, conversational insights on delivery, quality, and team performance — all without leaving your IDE.

EKS Pricing And Cost Optimization (2025 Guide)

AWS did not intend to build Amazon EKS; it simply had to. Kubernetes adoption beamed light years ahead of AWS’s own managed container orchestration service. This forced AWS to develop a managed service to accommodate customers who wanted to use upstream Kubernetes but did not want to manage it themselves. As soon as AWS got around to it, it knocked the Kubernetes-based container management service out of the park. Not only is Amazon EKS simpler than Kubernetes, but EKS pricing may also be worth it.

What we learnt from our panel discussion on AI in the UK

At Civo Navigate London 2025, we hosted a panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik to discuss the latest trends and challenges in AI adoption. Through this conversation, the panelists covered topics such as the current state of AI adoption to the challenges of scaling AI, and the future of work.

OpenTelemetry Spans Explained: Deconstructing Distributed Tracing

In a microservices architecture, a single user request can pass through multiple services before completing. When performance drops or an error occurs, tracing that journey is the only way to locate the source. Distributed tracing provides that visibility. At its core are OpenTelemetry Spans — units of work that capture what each service does during a request.

The Power of JFrog Artifactory as Your Model Registry

In my previous blog, we demonstrated how the FrogML SDK streamlines the process of integrating custom-built or publicly sourced models from your IDE into JFrog Artifactory. Now that your models are securely stored, versioned, and managed, the natural next question arises: “Ok, so you have some models in JFrog Artifactory, now what?” This is where the real power of the JFrog Platform comes into play.

What is AIOps and What Happens When IT Runs Itself?

The scale of modern IT is outpacing human capacity. Microservices, multi-cloud deployments, and the Internet of Things (IoT) have created a complex IT ecosystem, generating an exponential volume of operational data. Traditional operations teams, regardless of their skill, struggle to keep up. Because of this, forward-looking leaders are adopting AIOps in IT, not as an upgrade, but as a foundational shift.

Stop Debugging Blindly! How Traffic Capture Can Help Your Code #speedscale #trafficcapture #ai

Is AI "slop" or new code pushing tons of bugs into production? You can't test everything forever. Learn how traffic capture is the most efficient way to understand how your code is actually running in the real world. By grabbing data from sidecars, packet captures, or logs, you get the context you need to prevent bugs and improve performance.

DevOps & Observability for Digital Catalogs: faster releases, fewer outages

Digital catalogs have become a core sales engine, not just a glossy PDF on a server. They power discovery, merchandising, and conversion across web and mobile experiences. When a catalog powers real revenue, the way you build and run it starts to look a lot like modern software delivery. That's where DevOps and observability enter the picture: practices that shorten release cycles, reduce risk, and keep customer experiences fast and available even on your biggest traffic days.

Top 11 Ruby APM Tools for 2025: A Performance-Driven Selection

Observability has become a core part of running Ruby applications at scale. Knowing how your app performs — from request latency to background job execution — helps catch slowdowns early and improve reliability. This blog walks through some of the most useful APM tools for Ruby in 2025. Each section highlights what the tool does well, where it fits best, and what kind of visibility it brings to your application's performance.