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.

At Qovery, we're consistently pushing boundaries to enhance developer experiences. One of our standout achievements has been accelerating deployment times, a feat we're incredibly proud of. Today, we'd like to pull back the curtain and share how we've sped up deployments by a staggering 30% through our innovative Container Image Mirroring. Romaric founded Qovery to make Kubernetes accessible to every engineering team.

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.

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.

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.