The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
More often than not, as developers, when we get a report that a large customer is hitting 502 errors, there's a flurry of activity. What's wrong? Is something deeply broken? So you start digging through AWS logs to see what you can find, but it's hard to reproduce. Sometimes, there's no clear answer, and you move on without any resolution. What if I told you it doesn't have to be this way?
Causal is the business and financial planning platform that allows users to build models effortlessly, connect them directly to their data, and share them with interactive dashboards and visuals. Teams rely on them to build complex models with real business impact, so the UX needs to be fast and reliable, and for the team to guarantee that, they need detailed visibility into the performance of their application.
Java has been one of the most widely used programming languages among developers worldwide for years. So naturally, it is a popular choice for those beginning their careers in development. Learning Java requires more than just knowing the proper syntax and effective code hygiene. Any developer who hopes to use Java for commercial development must be able to quickly and competently identify and recognize errors in their code.
As a software-based company, the most critical thing you can do is maintain control over your users' digital experiences and satisfaction levels. However, without a monitoring plan and technologies that allow you to see how customers interact with your application or website from their perspective is impossible. They provide you with the information you need to determine how well your webapp or website is operating and to avoid slow pages or screens that drive customers to your competitors.
Every second counts when it comes to data theft. So when a breach or an attack occurs, network security teams need to determine what’s happened as quickly as possible. The more time spent in root cause analysis, the more time an attacker has to burrow deeper into or across the network. The greater the overall loss from the attack is likely to be too. That may be financial, customer impact, or brand reputation.
Today we are excited to launch one of our flagship ML assisted troubleshooting features in Netdata – the Anomaly Advisor. The Anomaly Advisor builds on earlier work to introduce unsupervised anomaly detection capabilities into the Netdata Agent from v1.32.0 onwards.
Do you love reading about how various performance-related issues are traced out and fixed? If so, here's our story of how we fixed the Redis performance issues we were facing by optimizing JedisPool. We hope this will help you strengthen your IT environment. Our Redis performance issues and efforts to find the cause
