Learn how to gain real-time visibility into your web applications with Grafana Faro! In this hands-on tutorial, we’ll walk through instrumenting a JavaScript app with Faro.
Apache Zookeeper is a distributed coordination tool that helps keep large-scale systems in sync. It’s the backbone for managing leader elections, service discovery, and metadata storage in projects like Kafka, Hadoop, and Elasticsearch. Think of it as a highly available traffic controller for distributed apps, ensuring everything runs smoothly.
Are you looking for a reliable status page solution to keep your users informed? Wondering what alternatives are available to help you communicate system status effectively? While Statuspage.io used to be everyone's default choice, today's DevOps and SRE teams have a hard time justifying this choice. And there are a lot of new tools popping up every year. For this guide, we analyzed 25 tools and we'll explore the best status page software available today.
Do you ever wish you had a personal data guru who could magically sift through all your data, spot patterns before they become problems, summarize everything in a way that actually makes sense and propose recommendations? Well, meet AI Agents—the “digital teammates” who do all that without demanding coffee breaks.
This webcast shows off the latest features included in the 2025.1 GA Release of SolarWinds Observability Self-Hosted. Product experts Erik Eff and Chad Every discuss the importance of total cost of ownership and customer feedback in driving product development, highlighting key areas such as hybrid IT visibility and AI-driven solutions. The demo section showcases improvements in cloud monitoring, device support, and user experience, including a new NOC dashboard with dark theme.
At Pebble, we built our dev board with automation in mind. With a four-channel FTDI chip and I2C current sensors, we could live stream power data and automatically test energy usage on every pull request. It was a software-forward approach to hardware development and a workflow we still miss.
Are your logs helping you, or are they just creating more work? If you’re sifting through endless data but still missing the important details, you’re not alone. It’s a common challenge—but one that can be solved. For anyone managing infrastructure, logs are essential. They show what’s happening, what’s broken, and sometimes even why. But without the right approach, they can easily turn into clutter instead of clarity.
Imagine trying to find a friend in a packed stadium with 50,000 people versus spotting them in a quiet coffee shop. That’s the difference between high and low cardinality data. And if you’re working with distributed systems or microservices, this isn’t just a theoretical distinction—it’s a fundamental challenge that can make or break your observability setup.
If you’ve been using Redis but haven’t explored pipelining, you’re missing out on some significant performance benefits. Redis pipelining is like a hidden gem—those who know about it can’t imagine working without it. In this guide, we’ll break down why pipelining is important and how it can help improve the efficiency of your applications.