Operations | Monitoring | ITSM | DevOps | Cloud

This video demonstrates how to use Mobot to investigate issues, interpret its findings, and identify recommended next steps. Follow along as Mobot responds to a prompt by understanding your intent, gathering relevant data, performing multi-step analysis, reasoning across data sources, surfacing insights, and recommending next steps.

This video provides an overview of Macros in Sumo Logic and how they can be used in search queries. It also introduces nested Macros and Macros with arguments, with examples of how Macros can be incorporated into searches.

Learn how to set up and monitor Business Transactions using Site24x7's APM Insight in this step-by-step tutorial. We walk through configuring APM Business Transaction Rules, defining transaction criteria (like HTTP method and URL patterns), and analyzing key performance metrics such as response time, throughput, Apdex score, request count, and exception rate. Whether you're troubleshooting slow application performance or setting up proactive monitoring for your business-critical transactions, this video shows you exactly how to get actionable insights from your APM dashboard.

#claudecode #anthropic #devops

'The runbook lost. The trace is the documentation now.' In his O11yCon 2026 closing keynote, Corey Quinn of Duckbill Group makes the case that when your primary reader is an, not a person, are the only pillar built to survive.

A quick walkthrough of SigNoz Cloud's new dashboard schema, redesigned to make dashboard operations by AI agents faster, more reliable, and lighter on tokens. AI agents are increasingly creating and editing observability dashboards. We redesigned the SigNoz Cloud dashboard data model with a structured, strictly validated schema so agents can work against defined fields and paths instead of inferring the dashboard structure.

A quick walkthrough of SigNoz Cloud's new trace detail view, with a flame graph that renders 100,000 spans in a single load. AI and agent workloads are producing traces with much higher span counts. We rebuilt the trace detail view in SigNoz Cloud to make investigating large traces faster. Here's what's new.

#loopengineering #claudecode #programming #observability

You ask for a routine health check and expect a clean baseline. What came back was a pod that had restarted 788 times, unrelated to the question. AURA is connected to a Kubernetes cluster and to Prometheus through read-only MCP servers, running as one coordinator with two specialized workers. The prompt is one sentence: check the health of the cluster, and confirm whether all the pods are running. What comes back is not a baseline. AURA names the state as CrashLoopBackOff and attaches the restart count to it.

The platform shows you which service is failing and which paths it touches, and stops there. Point AURA at the same telemetry and the cause comes back too. Dash0 shows the product catalog service in a failed state across the selected window, with errors on the path from the frontend service.