Operations | Monitoring | ITSM | DevOps | Cloud

System operators know the drill: as the complexity of systems scales, so does the deluge of logs. Traditionally, taming this relentless tide demands a concoction of costly tools and laborious configurations—until now. The dynamic duo of systemd-journal and Netdata is revolutionizing log management, turning what was once a Herculean task into a streamlined, powerful, and surprisingly straightforward process.

Effective system monitoring is non-negotiable in today's complex IT environments. Netdata offers real-time performance and health monitoring with precision and granularity. But the key to harnessing its full potential lies in the optimization of your setup. Let’s ensure you are not just collecting data, but doing it in the most optimal way while gaining actionable insights from it. The starting point for optimization is a robust setup.

If you’re into monitoring, Prometheus is probably an essential part of your stack. Thanks to its expressive query language (PromQL), scalability, and configurable data format, it remains one of the most popular tools for data collection. Paired with Prometheus exporters, the tool can adapt to a variety of surroundings, which is one of its strongest points.

Hey, you. Yes, you. Do you want to fix broken code faster and easier? Of course, you do. Who doesn’t? Well, lucky for you, we dedicated the whole month of October (and every other month) to helping you do just that. Checkout what’s new from Sentry and our friends at Codecov.

Containerization has significantly improved the way we deploy and manage applications over the past years. It has enabled agility, scalability, and efficiency in modern software development. However, the dynamic nature of containers requires robust monitoring solutions to ensure optimal performance and reliability. In this article, we will discuss the top 10 container monitoring tools that are essential for anyone navigating the containerized landscape.

AWS and Azure are two big names in the cloud world. If you have already invested in Microsoft technologies, you might prefer Azure over AWS. However, it is not as simple as that. Many factors are involved in this decision, including the type of service, pricing model, geographical area, your existing technology, etc. In this article, we will compare all the major cloud service categories of AWS and Azure and will compare both companies in detail.

Open Sourcing metric-cardinality-explorer tool - to understand high cardinality metrics and techniques to go deeper into why high cardinality exists.

Network monitoring and alerting provide the foundation for efficient IT operations and cyber resilience. By keeping track of the status and performance of network infrastructure and applications, network monitoring tools can automatically generate alerts when defined thresholds are exceeded or specific events occur. These network monitoring alerts allow IT teams to detect outages, performance degradation, and potential security incidents so they can respond swiftly to minimize disruption.

Incompatible hardware is a common cause of application failures for distributed teams. Most teams depend on containerization tools like Docker to prevent these failures. But is there any way to automate the deployment of Docker images more efficiently and intuitively? In this article, I will show you how simple it is to do this by combining CircleCI and Microsoft Azure to build a CI/CD pipeline for a Dockerized Spring Boot project.

We’re happy to announce a landmark 320% growth in 2023! VictoriaMetrics, our open source time series database and monitoring solution, already hit 268 million downloads this year (still counting), and received close to 13,000 stars on GitHub.