Operations | Monitoring | ITSM | DevOps | Cloud

If your team manages a network across several offices and cloud systems, finding the cause of a slow or failed connection can take time. You may run into problems such as: As your network grows, a quick test from one computer may not show where the problem started or when it first appeared. Network diagnostic tools help you check devices, ports, routes, packets, and link performance.

Why is your network slow or failing even when your devices seem to be working? Finding the cause of a network problem can take time. You may need to check packet loss, trace the network path, find a busy link, or see why an application is not connecting. A simple ping test can tell you whether a device responds, but it cannot always show what is causing the problem. Network diagnostic tools help you narrow down the cause by checking devices, ports, routes, packets, traffic, and link performance.

Compare air-gapped and private network backup approaches for ransomware defense, data protection, and secure recovery. Ransomware doesn’t stop at production data. Attackers are increasingly targeting the backups organizations depend on for recovery, turning a manageable incident into a much longer outage. These attacks make the choice between air-gapped and private network backup important — but it isn’t an either-or decision.

Application development and operations teams are adopting AI coding tools at an exponentially increasing rate, from a rounding error of 6% of code output by AI in 2023, to as much as 51%-75% for a majority of enterprises. Agents are making pull requests (PRs) faster than human developers could have ever dreamed. As features are pushed to market faster, there’s a sharp increase in production incidents, with 80% of development shops specifically tracing production outages to AI.

Today we're launching Foresight AI, Gremlin’s agentic resilience product that analyzes and tests your systems for potential failures, fixes them, and verifies reliability at the speed of AI. I've spent most of my career on call. At Amazon and Netflix, I served as a Call Leader, the person running the bridge when something big broke. Those years taught me the same lesson we founded Gremlin on: the best incident is the one that never happens.

Picture a Monday at 03:10 UTC. An agent investigating an out-of-memory alert on payment-service works out the pattern: it runs out of memory every Monday between 03:00 and 04:00, and the spike lines up with the batch reconciliation job. The next Monday the alert fires again. A different agent picks it up and starts from zero, because nothing it can see holds what the first one learned.

As your use of Grafana Cloud Synthetic Monitoring grows, so does the number of checks you need to manage across services, environments, and teams. Eventually, a single flat list of checks becomes difficult to navigate, and even simple questions get harder to answer: Which checks belong to the payments team? Can I disable everything in staging during a maintenance window? Who should be able to edit the checks for this service?

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s PagerDuty Docs recently announced in builds towards this vision. Documentation is the living manual for any product. Over 68% of developers still turn to docs first when learning a new tool, and 84% now use an AI tool daily. Those two numbers together change what documentation is for.

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s AI-Powered Incident Communications builds towards this vision.

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s Runbook Automation / Rundeck MCP Server recently announced in GA builds towards this vision.