Operations | Monitoring | ITSM | DevOps | Cloud

Server monitoring is essential for organisations relying on digital infrastructure. It tracks performance, availability, and health to ensure smooth operations. Without it, businesses face risks like downtime, poor performance, and security threats.

Switching network management solutions can be a scary proposition, even when the system you have isn’t working well. After all, network management is the cornerstone of visibility, security, and IT operations, and if something is working “well enough” today, then leadership can be change-averse. However, sticking with a network management platform that isn’t a good fit for your environment can lead to waste, administrative overhead, visibility gaps, and reduced network reliability.

Synthetic data is gaining attention as artificial intelligence (AI) continues to evolve. But what exactly is it, and why is it so important today? At a high level, synthetic data refers to data that's generated by algorithms or mathematical models. It is not data collected from the real world.

Blockchain, IoT, Big Data. If you’ve been around in tech for a while, you know that these kinds of buzzwords come and go: they make a splash going in and fizzle out over time. Seeing many of them come and go over the years has made me skeptical. What are they trying to sell us this time? Some might call it getting grumpy; others might call it becoming an enterprise architect. So you’ll have to forgive me for thinking AI agents seemed like just another buzzword.

Elastic Security is making your organization safer with general availability of our favorite AI features. Elastic Security is announcing the general availability (GA) of two of our most widely deployed generative artificial intelligence (GenAI) capabilities: Attack Discovery, launched in May, and Automatic Import, launched in August. Elastic’s AI-driven security analytics are providing immense value to many organizations.

For years, organizations have used the term “observability” as an evolution of monitoring, a discipline practiced by operations teams to understand whether production software was working. I’ve been annoyed by this—not because it’s philosophically wrong, but because it diminishes the importance of observability as a generalized software engineering practice.