Both DataDog and Prometheus are application monitoring tools aimed to improve application performance. While Datadog is a cloud-based SaaS solution, meaning there's no need to install or maintain any infrastructure, Prometheus is an open-source tool that requires manual download and installation on your infrastructure. Let us compare DataDog and Prometheus to see which tool suits The biggest difference between Datadog and Prometheus is that while Prometheus is open-source, Datadog is proprietary.

Answer a few questions to get personalized recommendations in 30 seconds Start Now The rising costs and complexities of monitoring cloud infrastructure are pushing many organizations to explore alternatives to Datadog. With monthly bills sometimes reaching thousands of dollars and feature sets that can be overwhelming, teams are looking for practical, cost-effective solutions that better fit their needs.

Capturing network traffic is usually done either for security reasons or to troubleshoot networking issues. But by the time you initiate a network capture (either manually or automatically) it’s often too late already – the train has already left the station. Point in case: Say your SIEM (obviously EventSentry) detects abnormal or suspicious behavior in a log and a network capture is initiated.

Sometimes life can be pointless, and other times, it might just be that your network has stopped working, and now you have too much time to ponder the true purpose of life. If you are in that second situation, let’s get that network fixed before you start regretting your life choices. Troubleshooting is a repetitive yet rigorous process where you analyze and test individual network components like a chef checking every ingredient before cooking up a delicious dish.

The 2025 cloud computing landscape presents a diverse array of options beyond DigitalOcean's familiar waters. As businesses outgrow basic cloud solutions, they're discovering platforms that better match their evolving needs. From startups seeking cost-effective scaling to enterprises demanding robust security features, today's cloud providers offer specialized solutions for every use case.

Distributed tracing is the functionality to trace requests or messages flowing through different systems or environments like frontend, Backend, middleware. Distributed tracing brings connectivity or visibility of various services using a unique identifier. This identifier is passed to different services to correlate them as a single flow. We track data from different services with distributed tracing, but how do we visualize them? Visualization is a tedious task.

Following up on NASA’s Artemis mission Roadmap for Lunar exploration CloudFabrix has been embarking on its own Roadmap for CY’2022, CY’2023, and beyond. It was an incredible year of innovation, execution and global growth for the CloudFabrix team and the following summarizes our key 2024 achievements.

Ever stumbled upon a “404 Not Found” message or seen the dreaded “500 Internal Server Error” and wondered what’s going on? These are HTTP status codes, and they’re like secret signals that servers use to communicate with browsers and let us know what’s happening when we visit a website. Some codes tell us everything’s fine while others can point to issues that need fixing.

Availability and reliability are two essential concepts in system design, but they are not the same. Availability refers to how often a system is up and running, accessible for use. In contrast, reliability measures how consistently the system performs without failure over time. Both are important, but they focus on different aspects of a system's performance.

When making changes to your production services, it’s important to have a plan for how to detect problems and roll back changes. How many roll out plans would include: “if it breaks, don’t worry, the users will tell us!” But if your monitoring coverage of production services isn’t complete, you’re implicitly relying on your users to tell you when something breaks.