Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Learn the Anatomy of a Grafana Plugin | Grafana Plugin Development

Learn about the anatomy of a Grafana plugin in this video where we'll dive deep into the various frontend and backend components involved when creating your own plugin. We'll look at the individual components for each plugin type, as well as explain how the plugin project files are organised, so that you're fully equipped to make your own awesome plugins.

Debugging a Django Application

Debugging Django applications can be challenging, but it’s key to keeping your app running smoothly in production. From unexpected bugs to performance slowdowns, finding and fixing issues efficiently keeps users happy and reduces downtime. For example, when an error occurs on a critical page, like a checkout page, identifying the issue quickly is crucial to avoid disrupting user transactions.

October '24 BindPlane Update

I'm covering our powerful new feature: the coalesce processor in BindPlane! I’ll walk you through how to use it to simplify your telemetry data by merging mismatched field names—like user and username—into one unified field (usr). We’ll configure a BindPlane Gateway, capture telemetry from various sources, and route it all to Honeycomb and S3. With the coalesce processor, field names get standardized quickly, making your dashboards and alerts far more intuitive.

Unveiling Innovation - Digitate's Flamingo Release

Join Rahul Kelkar, Chief Product Officer, and Avi Bhagtani, Chief Marketing Officer of Digitate, as they unveil Digitate’s latest ignio Flamingo release. This significant advancement underscores our commitment to empowering autonomous enterprises through enhanced capabilities, closed-loop automation, and AI-driven solutions. In this video, discover how our cutting-edge generative AI features address real IT challenges by enabling proactive problem-solving, automating responses to recurring issues, and generating intelligent insights for informed decision-making.

Introducing dashboard folders

One of the most common challenges our users face is navigating a growing number of dashboards as their SquaredUp usage increases. That's where dashboard folders come in! We’ve designed dashboard folders to help our users stay organized, even in large and complex environments. Here are some ways we think dashboard folders can improve your dashboard organization and navigation.

The Importance of Monitoring for Gaming Companies

For gaming companies, creating a positive user experience is paramount. Gamers expect seamless gameplay, fast response times, and 24/7 availability. Maintaining top-notch performance is crucial when managing massive multiplayer online games, mobile games, or e-sports platforms. This blog will explain how gaming companies rely on monitoring and explore many widespread monitoring use cases for gaming companies.

MaaS: How to Store and Analyze Real-Time Stock Trading Data Using Next.js and InfluxDB

Next.js is one of the most popular open source web frameworks for hosting web applications; however, performance monitoring of such applications, until now, has been a mystery. Whether you’re hosting Next.js apps yourself or via third party services like Vercel, it’s always helpful to know how the application is performing to make it more efficient and deliver a pleasant user experience.

The Complete Guide to Log Parsing

One of the most important steps in log management is parsing of the log files, which turns unstructured data into understandable information. Logs are broken down by pre-established parsing rules, making monitoring and operating system performance easier and facilitating real-time problem-solving of the event logs. A Data Breach Investigations Report emphasizes the critical role of human error in cybersecurity, noting that it is a factor in 74% of all breaches.

Enhancing Log Analysis with Machine Learning (ML)

Log Analysis has been a beneficial practice for organizations for numerous years, and over these years it has continuously evolved. This has been in part driven by the increasing volume of logs that companies are required to monitor. Now, log analysis is shifting again, incorporating machine learning (ML) and artificial intelligence (AI) to assist data analysts in identifying system log patterns and anomalies.