Operations | Monitoring | ITSM | DevOps | Cloud

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.

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).

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?

We spoke to data professionals from a range of industries about the impact of unreliable database deployments — not just on their systems, but on their workload, time, and well-being. From delayed releases to weekend firefighting, and the fallout for teams and customers, they share the day-to-day pressures they face and the small changes that help make deployments, and life, a little less stressful. What stood out from these conversations?

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.

Whether you’re dealing with IT issues, customer questions, or just trying to keep track of who’s supposed to fix what and when, ticketing tools are the unsung heroes of organized chaos. They help teams stay on top of requests, assign responsibility, (no more “I thought you were going to handle it”) and actually close the loop on problems instead of letting them collect dust in someone’s inbox.

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.

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

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.