Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to monitoring system performance on Linux, the load average is one of the most referenced metrics. Displayed prominently in tools like top, uptime, and htop, it’s often used as a quick gauge of system load and capacity. But how reliable is it? For complex, multi-threaded applications, load average can paint a misleading picture of actual system performance.

Look, I know what you're thinking. Another article about file formats? Really? You'd rather be debugging that mysterious production issue or arguing about tabs versus spaces. But hear me out for a minute. Last week, I was happily hunting through our logs data - you know, the usual terabytes of events that compliance keeps asking for - when our Head of Finance dropped by. "Hey, why is our logging bill so high?" Narrator: And thus began our hero's journey into the world of file formats.

ManageEngine OpManager now integrates with Ansible, an open-source automation tool, enhancing its network monitoring capabilities with Ansible’s powerful automation features. This integration enables IT teams to automate routine tasks such as incident response and configuration management, reducing the need for manual intervention and providing a more efficient, streamlined approach to maintaining network reliability and improving overall operational performance.

In database management, efficient limiting of query results is crucial for optimizing performance and ensuring the retrieval of relevant data. Many SQL database systems, such as MySQL and PostgreSQL, utilize the LIMIT clause to specify the number of records a query returns. However, SQL Server doesn’t support the LIMIT clause, opting instead for alternatives like TOP, OFFSET-FETCH, and SET ROWCOUNT.

Are you considering migrating to Kubernetes but worried about the potential complexities? Well, you are not alone. Transitioning to Kubernetes brings unparalleled scalability and resilience for containerized applications, but it also introduces technical challenges that can overwhelm unprepared teams. Let's go through proven strategies to make the Kubernetes migration journey smoother, from planning and dependency mapping to using automation tools that reduce errors.

The principle of continuous improvement is central to the practice of observability. Naturally, within the data-driven philosophy of DevOps this implies an ongoing cycle of acting, measuring and improving. For many teams, the classic four DORA metrics are seen as a gold standard. As I discussed in a previous article, whilst DORA metrics are a great starting point for assessing your agile capabilities, they are not necessarily definitive.