Operations | Monitoring | ITSM | DevOps | Cloud

Moving your existing Grafana instance to Grafana Cloud just got dramatically simpler. Today, we’re excited to announce the general availability of the Grafana Cloud Migration Assistant, a powerful yet intuitive tool designed to streamline your migration journey. Traditionally, migrating from Grafana OSS or Grafana Enterprise to Grafana Cloud required technical expertise with Grafana’s HTTP API or command-line tools like Grizzly.

When your MongoDB database slows down, it affects your entire application stack. Performance issues can range from minor inconveniences to major outages, making a solid understanding of MongoDB metrics essential for any DevOps engineer. This guide covers the key performance metrics you need to monitor in MongoDB, how to interpret what you're seeing, and practical steps to resolve common issues.

Message queues quietly power a lot of what happens behind the scenes in distributed systems. RabbitMQ is no exception—when it’s working, you don’t notice it. But when it’s not, things break in ways that are hard to trace. This guide walks through what you need to monitor in RabbitMQ, how to set it up, and how to troubleshoot when things go wrong—so you’re not stuck guessing when messages go missing.

Fat bills from observability vendors and tons of not-so-insightful telemetry data have turned out to be a very common issue today. This often leaves teams having to explain the lack of clear ROI, despite the growing costs. If you’re using OpenTelemetry to record your observability data, there are some practical methods you can apply to keep those costs from piling up.

Docker containers isolate application environments, making performance monitoring essential for visibility and stability — especially at scale. To manage production effectively, teams need clear insights into resource usage, bottlenecks, and failure points. This guide covers key Docker metrics, how to collect them, and how to use that data to keep your containerized systems running smoothly.

In the world of log management and security analytics, one thing is abundantly clear: data volumes fluctuate. Yet most pricing models haven’t caught up. Traditional ingest-based licensing models force organizations to size their license needs based on a worst-case capacity scenario—the “high-water mark”—whether those spikes are rare and/or expected.

Kentik and ServiceNow are teaming up to bring network intelligence to the ServiceNow AI Platform. This integration enables ServiceNow ITOM customers, even those without deep network expertise, to answer questions about connectivity, performance, and more.

Imagine this: Your IT team has invested in cutting-edge observability tools to keep systems running smoothly. But does that imply you are following observability best practices? As your business grows, so does the flood of logs, traces, and metrics—along with a skyrocketing cloud bill. What started as a way to gain better visibility is now a major expense, and suddenly, you’re asking: Are we paying too much for too little value? This challenge is becoming all too common.