Lessons from the front lines: Moving to observability maturity What separates the observability experts from the novices? It's a question that's been on my mind lately, especially after diving into our recent 2024 State of Observability Survey of over 500 practitioners. In my past roles as a DevOps engineer and a site reliability engineer (SRE), I've seen firsthand how a mature observability practice can be the difference between sleepless nights and smooth sailing.

In the world of security, being able to use system telemetry of Windows hosts opens new possibilities for monitoring, troubleshooting, and securing IT environments. Recognizing this, Elastic has introduced new capabilities focused on Event Tracing for Windows (ETW) — a powerful Windows-native mechanism for capturing a vast array of system and application events. With these new additions, Elastic users can capture, analyze, and visualize Windows telemetry using the Elastic Search AI Platform.

How has AI shaped ITSM? We analysed 8 leading ITSM vendors to find out how they implemented AI in their solutions.

In a Kafka setup, high availability isn’t just nice to have—it’s a lifeline. Downtime, data loss, or hiccups in message flow can make or break critical applications. Let’s be real: setting up Kafka brokers to be resilient takes some fine-tuning, but it’s absolutely worth it. Imagine dealing with failovers smoothly or knowing your data is protected even if a broker goes down—this is what configuring for resilience is all about.

If you’re an experienced engineer, you likely have comprehensive observability and monitoring set up for your production systems. So if issues arise, you’re empowered to resolve them quickly. Yet, there are way too many systems out there, especially smaller and simpler ones, which are running with only rudimentary observability systems, or no observability at all. This means when an application goes down or starts to perform poorly, it may be very hard to pinpoint and resolve the issue.

Kubernetes is one of the most significant advances in cloud computing since the public cloud. It provides an open-source, highly scalable, and cloud-native platform for orchestrating containerized applications. More organizations now use Kubernetes to deploy, network, scale, and manage containers at scale. In addition, the Kubernetes architecture empowers them to deploy containerized applications swiftly across various platforms, support distributed systems, and scale operations to meet demands quickly.

By all accounts, Europe is expected to land a lottery jackpot next year. Indeed, according to the European Commission, the region is tipped to be almost one trillion Euros (EUR 829 billion) better off on account of the growth in the data economy. At a time when we’re surrounded by uncertainty and conflict, and with the threat of recession stubbornly hanging over the region, it’s also a moment that raises several important questions as we head into 2025.

Over the past 25 years, I’ve been privileged to help businesses navigate some of the most significant shifts in technology. At Salesforce, I saw the cloud revolutionize how businesses adopt and scale software. At Slack, we reimagined collaboration by bringing connection and emotion into the workplace.

A deep dive on different metric types in Prometheus and best practices.

Choosing the right API monitoring tool is critical. How do you know which is the right API monitoring tool for you? Here are the top 17 API monitoring tools, including open source tools for API performance monitoring. In this article, we will review the top 17 API monitoring tools which you can use for monitoring your APIs. But first, let’s have a brief overview of APIs.