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Breaking Down IT Silos with OpManager Plus's Full-stack observability

In today's complex and dynamic IT landscape, a single application relies on dozens of interconnected services, from physical servers to virtual machines, cloud instances, and third-party APIs. When something goes wrong, a traditional monitoring approach that focuses on individual components is no longer enough. This is where full-stack observability becomes critical. It's the ability to gain a holistic, real-time understanding of your entire technology stack, from the user experience all the way down to the underlying network infrastructure.

Enforcing web performance budgets in CI/CD with Sitespeed.io and Slack

Keeping your website fast as new features are introduced is a challenge. Performance regression is common issue that continues to plague websites, especially those of SaaS companies. In performance regression, newly shipped features introduce bloat, leading to slow page loads and reduced user conversion rates. This is exactly what setting performance budgets helps prevent.

API Health Monitoring Explained: How to Detect Silent Failures That Health Checks Miss

APIs sit at the center of modern digital systems. They power mobile apps, enable partner integrations, and connect internal services across distributed architectures. When an API fails, the impact is immediate: broken user journeys, stalled transactions, and downstream systems that quietly stop working. That’s why API health monitoring is now a core reliability practice for modern engineering teams. The problem is that “API health” is often defined too narrowly.

How to Scan for IP Address on a Network? - Ultimate Guide & 6 Best IP Scanners

Amid predictions that 39.42 billion devices will have internet connectivity by 2030, IP address management has become a fundamental housekeeping and security concern for any networking admin. As the Internet of Things (IoT) continues to endow more and more devices with smart capabilities, networking grows more complex, making IP-centered network security measures a business imperative.

Zero Tickets Starts with DEX: Why DEX Data Is Your Missing Ingredient

Every IT leader wants fewer tickets. Many invest in automation, self-service portals, and AI agents to get there. Yet ticket volumes remain stubbornly high, and the service desk stays overloaded. The issue is not the effort or intent. It’s the approach. Most organizations are trying to eliminate tickets without understanding the experience that creates them. They optimize workflows after something breaks but ignore the conditions that cause issues in the first place.

React 19 is coming to Grafana: what plugin developers need to know

As part of the upcoming Grafana 13 release in April, we will be updating to React 19, the latest major version of the frontend library for building user interfaces. Grafana uses React as the core technology for its frontend UI and its vibrant ecosystem of plugins. This update ensures we stay aligned with the broader React ecosystem, and allows us to take advantage of ongoing performance enhancements and new functionality provided by React APIs.

ChatOps that actually works: Grafana Cloud, Slack, and AI-powered observability

Context switching isn’t just inefficient—under pressure, it’s exhausting. It slows decision-making, increases the risk of mistakes, and makes even experienced engineers feel like they’re always a step behind the system they’re responsible for. At Grafana Labs, we want to build tools that meet you where you are. That's why we embedded Grafana Assistant, our context-aware AI assistant, directly in Grafana Cloud.

Measuring Claude Code ROI and Adoption in Honeycomb

At Honeycomb, we’ve been using Claude Code across our engineering team for a while. Anecdotally, I had a sense of who the power users were, and I had seen some examples of complex usage. But I wanted to be able to confidently answer questions, like: Claude Code supports OpenTelemetry out of the box, which means sending telemetry to Honeycomb takes just a few minutes of configuration.

Monitoring microservices and distributed systems with Sentry

If you’ve ever tried to debug a request that touched five services, a queue, and a database you don’t own, you already know why monitoring distributed systems is hard. Logs live in different places, requests disappear halfway through a flow, and when something breaks in production, you’re reconstructing what happened from fragments. Microservices make this worse by design. A single request fans out across small, independently deployed services, often communicating asynchronously.

Understanding Lighthouse: Largest Contentful Paint

Your hero image takes 5 seconds to show up. Your headline sits invisible while JavaScript churns away. Your users? They’ve already hit the back button. That’s the cost of a slow Largest Contentful Paint, and it’s killing your conversions and search rankings. LCP is one of Google’s Core Web Vitals, which means it directly impacts how Google ranks your website. A slow LCP doesn’t just frustrate users, it actively hurts your SEO.