Operations | Monitoring | ITSM | DevOps | Cloud

Harness Cursor Plugin Demo: AI for Software Delivery from Your IDE

Stop context-switching between your IDE and your CI/CD dashboards. In this video, we demonstrate the new Harness Cursor Plugin, a native integration that brings the full power of the Harness AI Software Delivery Platform directly into Cursor. Using the Cursor Agent window and the new Harness Model Context Protocol (MCP) server, you can now manage your entire software delivery lifecycle through natural language. From triggering pipelines to governing deployments, this plugin ensures you stay in your flow while maintaining enterprise-grade security and control.

Meet AURA: The Open-Source Agent Harness for Production AI : Autonomous Incident Response Demo

Watch AURA autonomously respond to a production incident in real time—from building its reasoning context and querying PagerDuty and ClickHouse, to triggering a human-in-the-loop approval with the on-call SRE, to removing the stuck pod and validating remediation. Every behavior is defined in a simple config. AURA is Mezmo's AI-powered incident response agent built for platform engineers and SREs managing high-volume telemetry pipelines.

See how Mezmo's AI Assistant instantly pinpoints root causes

This video shows how Mezmo's AI Assistant turns noisy telemetry into clear answers when errors spike. By preprocessing data and surfacing only the most relevant patterns, Mezmo quickly identifies issues like database connection failures or resource shortages and delivers actionable recommendations. Watch how AI-powered root cause analysis helps teams troubleshoot faster and with confidence. Mezmo's AI Assistant is built for platform engineers and SREs who need fast, reliable root cause analysis across high-volume telemetry pipelines — without manually sifting through noise.

How Mezmo Uses Active Telemetry for Faster AI Root Cause Analysis

AI-powered root cause analysis only works when the data going into the model is clean, relevant, and structured. In this demo, we show how Mezmo's Active Telemetry approach helps engineers and SREs move from noisy application errors to immediate clarity. Using a restaurant ordering application running in Kubernetes, we trigger a database connection pool exhaustion issue and walk through two ways to investigate it with Mezmo.

LiveTail: Real-Time Visibility for Active Telemetry

See how Mezmo LiveTail helps teams move from passive log search to active, real-time investigation. In this demo, you'll watch live telemetry stream across services and environments, identify emerging issues as they happen, and use real-time context to troubleshoot faster before signals are delayed, buried, or lost in the noise. LiveTail is part of Mezmo's Active Telemetry platform — built for platform engineers and SREs who need immediate visibility into what's happening across their stack right now, not after the fact.

Share artifacts between parent and child pipelines | Bitbucket Blitz | Atlassian

Bitbucket Pipelines lets you build reusable pipelines and share them across repositories. These reusable, shared pipelines need a way to share artifacts. Otherwise, we’ll have to repeat expensive steps such as downloading and installing dependencies and building the application code. You can now specify an artifacts section for child pipelines, with upload and download keywords. Artifacts listed under upload will be moved from the parent pipeline into the child pipeline, where they can be used and potentially modified.

Nzo product demo

This on‑demand product demo shows how N‑zo supports MSPs looking to simplify operations and scale more efficiently. Watch to see how N‑zo brings key workflows together, reduces operational friction, and helps teams gain better insight into their business. The demo highlights practical scenarios designed to support growth, consistency, and operational clarity without added complexity. Ideal for MSP leaders and operations teams who want a clearer, more streamlined way to manage their business.