Operations | Monitoring | ITSM | DevOps | Cloud

Now available: Secure, real-time access to your observability data via Coralogix’s Model Context Protocol (MCP) Server. AI agents are only as powerful as the context they’re given. Today, we’re excited to announce the launch of the Coralogix MCP Server, which enables third-party AI agents to connect directly to your observability data across production, staging, and other environments.

In today’s hospitals, technology is woven into every touchpoint of patient care. Nurses check vitals through digital monitors. Physicians review test results in the EHR. Medications get ordered, verified, and delivered through a network of connected systems. But when even one link in that chain fails, the impact isn’t just inconvenient—it’s dangerous. Downtime doesn’t just slow operations.

We are proud to announce that Splunk has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the third year in a row. In our opinion, our recognition in the Observability category comes on the heels of Splunk being recognized for a tenth consecutive time as a Leader in the 2024 Gartner Magic Quadrant for Security Information and Event Management (SIEM). Splunk was the only vendor named a Leader in both SIEM and Observability for the Gartner Magic Quadrant three times.

You're monitoring a microservices-based system. Alerts trigger when response times exceed 2 seconds. But when you open Jaeger, you're faced with thousands of traces. Identifying which service or operation is responsible becomes time-consuming. Jaeger metrics help reduce this friction by exposing aggregated telemetry. Instead of scanning individual traces, you get service-level and operation-level performance metrics, latency, throughput, and error rates that highlight where the issue lies.

Arie van den Heuvel is an engineer, a System and Application Management Specialist, and a valued member of our community. Below he has shared his journey using Coroot, and how it has helped improve observability for his team. You can read more of Arie’s writing and support the resource articles he has created for open source on his blog.

Kentik transforms real-time network telemetry into actionable alerts for AI-optimized data centers. By converting database queries into custom alerts, engineers can detect issues like elephant flows, idle links, and packet loss before performance suffers and triggers alerts in systems like ServiceNow or PagerDuty.

APM stands for Application Performance Monitoring or Application Performance Management. It helps engineering teams track key metrics, detect slowdowns, and improve the overall performance of their applications. With Atatus APM, you get complete visibility into your application, from backend code and databases to external services and frontend performance.

“It’s always DNS.” That’s the running joke in IT. When websites won’t load and apps grind to a halt, DNS—the internet’s address book—is often the first to get blamed. That’s because DNS translates human-friendly names like google.com into IP addresses that computers use to route traffic.

Businesses across industries rely on time-stamped data to track system health, monitor performance, and improve operations. Whether it’s sensors on a factory floor or usage logs from a SaaS platform, time series data reveals how things change. As businesses digitize operations and add connected devices, sensors produce growing streams of time-based data. This opens the door to faster analytics and smarter automation. But legacy approaches can’t keep up.

As large language models (LLMs) grow more powerful, organizations are deploying agentic AI applications to tackle complex, multi-step tasks. With Amazon Bedrock Agents, developers can orchestrate these agents to manage tasks such as triggering serverless functions, calling APIs, accessing knowledge bases, and maintaining contextual conversations—all while breaking down complex user requests or tasks into manageable steps.