Operations | Monitoring | ITSM | DevOps | Cloud

Leaders should give engineers the space to experiment with AI tools so they can form real opinions about what works and what doesn’t.

In this video, Jason Boig, Solutions Engineer at GDIT, shares how his team uses ScienceLogic to streamline network infrastructure monitoring and improve response times. Instead of relying on manual processes after an alert is triggered, ScienceLogic helps automate the initial response and capture critical data the moment an event occurs. This ensures nothing is lost as conditions change and gives teams immediate visibility into issues.

What if you could start your day without hundreds of alerts? Skylar Advisor transforms noisy event streams into a short list of prioritized advisories by grouping related alerts and signals together. It shows what is happening in your environment, explains why it matters, and provides clear next steps so instead of chasing alerts, IT teams get guidance focused on real operational impact.

A full walkthrough of our completely rebuilt post-mortems experience. We cover AI-generated first drafts from your incident data, accuracy review, inline rewriting, a collaborative editor with live incident context, meeting notes with Scribe, and management tooling including dashboards, exports, and analytics. Post-mortems are included in incident.io Response. AI features and Scribe are available on Pro and Enterprise plans.

OpsGenie is going away in 2027, forcing a migration decision for thousands of teams. But this isn't just a tooling swap — it's a rare chance to upgrade how you respond to incidents. Because the real pain in incident response isn’t paging. It’s everything that happens after the alert: coordination, clarity, communication, ownership, and follow-through. Most teams solve this through heroics and tool-juggling across chat, tickets, and docs. That approach doesn't scale.

Try Sentry for free: https://sentry.io
Docs: https://docs.sentry.io

Transform millions of spans into a clear visual map. In this demo, we use Coralogix Trace Highlights to isolate a performance regression and pivot from 400k spans down to the exact root cause in just a few clicks.

Stop relying on hope as a production readiness strategy. Whether it’s Black Friday, tax season, or a major product launch, engineering leaders need to know—with 100% certainty—if their systems can handle the load. In this video, Becka demonstrates how Cortex replaces manual, time-consuming readiness reviews with a continuous, automated framework. What we cover: The Readiness Gap: Why manual self-reporting and static spreadsheets fail during high-traffic periods.

Stop dreading your next audit. If you’ve ever survived a SOC 2, ISO, or regulatory audit, you know the drill: weeks of manual data pulling, hunting for owners, and frantic spreadsheet updates. In this video, we show you how Cortex transforms compliance from a painful annual event into a continuous, automated process. What we cover: The "Audit Scramble" vs. "Always Ready": Why manual snapshots fail and how a living service landscape keeps you compliant 365 days a year.

Discover how to manage MongoDB schema changes using Liquibase with the Harness Community Liquibase MongoDB Extension. In this step-by-step tutorial, you will learn how to install, configure, and run MongoDB database migrations using Liquibase Community Edition. This extension enables DevOps teams to bring database version control and CI/CD practices to MongoDB, making schema changes easier to track, automate, and deploy.