Operations | Monitoring | ITSM | DevOps | Cloud

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.

When it comes to security operations, speed is everything. The faster a team can detect, investigate, and respond to an incident, the more likely they are to prevent impact and contain risk. But accelerating Mean Time to Resolution (MTTR) requires more than faster alerts or streamlined dashboards—it demands a shift in how organizations think about their data. Smart security teams are rethinking the entire telemetry lifecycle.

As applications grow more complex and user expectations rise, delivering seamless and high-performing experiences to users is non-negotiable. Real User Monitoring (RUM) has emerged as an essential technique that provides developers, DevOps teams, and site reliability engineers with deep visibility into the actual performance of web applications that capture the experiences of real people in real-time.

Cybersecurity threats don’t come solely from external attackers. Insider threats also require your attention. Insider risk originates from employees, contractors or business partners who possess legitimate access to IT systems for their work tasks. They can access valuable data and systems that, if exposed or have some data stolen, could harm an organization’s reputation.

Think Sumo Logic is only for query language pros? Think again. Whether you’re deep into JSON logs or just trying to make sense of a Linux error message, these five time-saving hacks turn anyone into a log-searching ninja, no regex, no complexity, just clicks. From instantly parsing values to filtering down with a tap, these tips will help you troubleshoot faster, work smarter, and feel more confident in your observability game. You’ve got logs, now it’s time to put them to work.