Operations | Monitoring | ITSM | DevOps | Cloud

Grafana Assistant Demo: AI-Powered Root Cause Analysis and Remediation

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.

How to monitor Kafka Consumer Lag with an AI Agent?

TL;DR Managing Kafka consumer lag manually is time-consuming and error-prone. Today, we'll show you how to create a fully automated consumer lag monitoring agent in just 5 minutes using Aiven Managed Agents. This agent will monitor your Kafka services and send real-time alerts to Slack when consumer lag is high.

Help your Intercom AI agent answer outage questions with StatusGator

“Why aren’t my campaigns syncing to Salesforce?” “Your dashboard won’t load. Is something down?” When customers report a problem, your support team needs to understand whether it’s related to your product or a provider you depend on. Your AI support agent needs that context, too. By connecting StatusGator to Intercom through MCP, you can give Fin access to live status data and help it provide more useful answers during support conversations.

How to run coding agents in parallel without piling up PRs

Running several coding agents at once is pretty straightforward. Give each a task, let them work independently, and you can make progress on multiple things at the same time. But the more agents you have working, the more changes you need to coordinate. Agents can edit overlapping code, make conflicting assumptions, or finish work that depends on changes another agent hasn’t completed.

How we use Insights to improve the agent behind Insights

Improving an AI agent means knowing which behaviors to change and where those changes will have the greatest impact. Insights in Datadog Agent Observability improves AI agents by analyzing agent traces to identify recurring cost and reliability problems. It then explains the causes of those problems, assesses their impact, and recommends fixes backed by evidence. At Datadog, we use Insights to improve the agent behind Insights.

Banks Found AI Agents Inside Customer Accounts. Nobody Approved What They Did.

Major US banks have found AI agents operating inside customer accounts, signed in with credentials customers handed over themselves. Nothing was breached. The agents authenticated correctly, and some of them still did things nobody asked for. That gap between having access and having authority is the agentic AI security problem every enterprise running agents now owns.

AI SRE Agent Slack Integration: Ask AURA About Your Kubernetes Cluster | HQ

Running an agent in your cluster should not mean opening it to the internet. AURA reaches Slack over an outbound socket, so the cluster stays locked down. Jeff Vogt connects an AURA deployment running in Kubernetes to Slack using AURA's direct Slack integration. The setup is a Slack app with an app token and a bot token, plus a few lines added to the deployment's configuration. The Kubernetes MCP server is already deployed and connected to AURA before the video starts.

Get Started with SolarWinds Avior Agentic AI

Automate IT operations and resolve alert noise faster with Avior by SolarWinds. Managing mission-critical hybrid IT infrastructure requires rapid troubleshooting without sacrificing operational safety. In this video, we introduce SolarWinds Avior—a goal-oriented agentic AI designed to assist IT teams with autonomous root-cause analysis, alert optimization, and infrastructure triage under strict human oversight.

AI-assisted log investigation on Logit.io today: Hosted OpenSearch MCP and onboarding AI prompts

On 8 October 2026 Elastic announced the private preview of Elastic nightshift AI SRE, an AI agent built into Elastic Observability that detects and investigates issues and shows its reasoning. It is a sign of where observability tooling is heading: more of the first hour of an incident handled by an assistant that reads your telemetry. Short answer: Logit.io does not offer an autonomous AI SRE agent.