Is your DevOps security ready for cyber threats? Embrace these best practices and make security your competitive advantage. DevOps, a set of practices that combines software development (Dev) and IT operations (Ops), has revolutionized the way organizations build, deploy, and maintain software. With the rise of cloud computing, there was a need for faster and more reliable software delivery than traditional software development methodologies allowed. DevOps was the natural evolution.

With every job I have, I come across a new observability tool that I can’t live without. It’s also something that’s a superpower for us at incident.io: we often detect bugs faster than our customers can report them to us. A couple of jobs ago, that was Prometheus. In my previous job, it was the fact that we retained all of our logs for 30 days, and had them available to search using the Elastic stack (back then, the ELK stack: Elasticsearch, Logstash, and Kibana).

Understand why tracking cumulative resource consumption is crucial for accurate process monitoring.

As of 2024, the global serverless computing market is projected to reach a value of USD 21.9 billion, with expectations to grow to USD 44.7 billion by 2029. Around 70% of organizations using AWS have adopted at least one serverless solution. The adoption rates for Google Cloud and Azure are 60% and 49%, respectively. These numbers affirm that serverless is here to stay, and the demand for platforms to create and run applications is higher than ever. AWS Lambda is the most popular serverless platform.

In this article, we'll review the 5 best Cisco Switch monitoring tools for 2025. We'll provide an overview of switches, monitoring, and how to choose the best tool for you.

MetricFire automatically produces different statistical views on the data you send, providing fast views on your metrics at the most appropriate resolution for viewing on your dashboard using Hosted Graphite. This allows you append views to the end of your metric to visualize your data in different ways. Append a view to the end of your metric to visualize your data in different ways.

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.

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.