Operations | Monitoring | ITSM | DevOps | Cloud

You asked, and we listened! We’re thrilled to announce the release of the VictoriaLogs Cluster version – one of the most requested and anticipated updates from our user community. This marks a significant leap forward for VictoriaLogs, empowering users to handle log volumes and ingestion rates far beyond the limits of a single node.

If you’ve ever had a user complain that their video call was choppy or their VoIP call had weird delays, even though the Internet speed looked fine, you’ve probably run into Internet jitter. It’s one of those issues that doesn’t always show up on a speed test, but it can absolutely wreck real-time communication. And if you’re managing networks across remote offices, home setups, or hybrid work environments, you’ll want to keep an eye on it.

There’s no doubt that managing networks today is a whole different ballgame than it used to be. Complexity is growing, environments are more fragmented, and user expectations have never been higher. One of the biggest challenges for network operations teams? Visibility—or the lack of it. Network operations used to be much simpler. Traffic flowed through your own data center, and you had the visibility and control needed to manage performance and troubleshoot issues.

Data plays a critical role in shaping operational decisions. From sensor streams in factories to API response times in cloud environments, organizations rely on time-stamped metrics to understand what’s happening and determine what to do next. But when that data is inaccurate or incomplete, systems make the wrong call. Teams waste time chasing false alerts, miss critical anomalies, and make high-stakes decisions based on flawed assumptions.

Recently, Catchpoint expanded our Global Agent Network to over 3,000 agents. In a crowded space, this is by far one of our key differentiators. At the time of writing, no one else boasts 395 providers in 105 countries and 346 cities. As Director of ISP Strategy, I’m not here to pat myself on the back—my real question is: why?

In this blog we are going to address how to use Splunk to monitor security of MCP Servers, a new technology that has been developed by Anthropic and has definitely bridged the use of local applications with Large Language Models (LLMs).

When a container starts consuming excessive memory or becomes unresponsive, you need a way to shut it down. The two primary options — docker stop and docker kill,both terminate containers, but they operate differently and have different implications. The key difference: docker stop sends SIGTERM for a graceful shutdown, then escalates to SIGKILL if the process doesn’t exit in time. docker kill skips straight to SIGKILL, terminating the container immediately.