What is WebAssembly? #wasm #programming #rancheracademy
Learn more about Wasm with Caleb Schoepp from Fermyon and other experts in our tailored learning path on Rancher Academy.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
IPAM Site Mapping: Give Your Subnets a Home
Without site context, your 5-minute fix becomes a 30-minute hunt through spreadsheets and Slack channels while users wait. This isn’t just inconvenient—it’s expensive. Every minute of downtime costs your business, and every minute spent playing IP detective is a minute not spent solving the actual problem. As networks scale across cloud, hybrid, and on-premises environments, this lack of infrastructure context creates real operational pain for your team.
Cut Compute Costs Up To 90% With Azure Spot Instances
When cloud costs spike, compute is often the culprit. Using Azure Spot Instances could cut your compute costs by up to 90%. But Spot VMs come with trade-offs, including unpredictable evictions and capacity constraints. And that makes them tricky to use without the right strategy and visibility. In this guide, we will share how to make them work for you.
We built an MCP server so Claude can access your incidents
"Show me all critical incidents from the last week." "Create an incident for the payment API being down." "What was the root cause of that database incident last Tuesday?" If you've ever wished you could just ask Claude (or any MCP client) to handle incident management tasks instead of context-switching between chat and your incident management dashboard, you're going to like what we built.
What are Application Metrics?
Application metrics are structured, quantifiable signals that reflect how your software behaves in production. They capture key aspects of performance, response times, error rates, throughput, and resource usage, giving you a real-time view into the health of your system. Tracking the right metrics helps detect regressions early, surface latent issues before they impact users, and guide optimization decisions based on hard data, not guesswork.
You're Writing Code Wrong: Start Telling Better Stories with Git
What if your Git history could read like a great novel? In this talk from GitKon, Jason Gates (Senior Staff at Sandia National Labs) makes the case that software is storytelling...and Git is your medium. With references from The Hobbit to The Stormlight Archive, he shows how commit structure, messaging, and PR flow aren’t just best practices, they’re tools to help your team (and future you) understand what really happened.
Product Klip: Istio Developer Dashboard
Troubleshooting issues in a complex service mesh environment, such as traffic failures or authorization problems, often requires the expertise of an SRE or DevOps professional. However, Komodor simplifies this process. Komodor provides developers with the necessary visibility to diagnose service mesh issues on their own. It helps developers easily identify blocked connections and understand the root cause without having to review logs or configuration files.
Netdata Now Troubleshoots Your Alerts for You
The 2 AM pager alert. For anyone in Ops, SRE, or IT administration, those words trigger a familiar sense of dread. An alert has fired. Is it a real fire, or another false alarm waking you from a dead sleep? The pressure is on. Every minute of downtime costs money and reputation, but troubleshooting a complex system when you’re sleep-deprived is a Herculean task.
AI Agent Is Hitting Your APIs - Are You Ready?
It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.
Building your AI infra, our tips
Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.