Operations | Monitoring | ITSM | DevOps | Cloud

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

Captur builds a mobile SDK that brings real-time image recognition and actionable feedback directly into customers’ apps, running complex machine learning models entirely on device without cloud inference. This architecture delivers privacy and performance, but also creates unique challenges when it comes to observability and debugging, especially as crashes can originate from the host app rather than the SDK itself.

InfluxDB 3 on Amazon Timestream for InfluxDB now scales to 15-node clusters, unlocking higher ingestion, greater query concurrency, and real-time performance at scale. In this video, PM Pete Barnett breaks down what this means for high-resolution, high-velocity workloads, and how you can scale from Core to Enterprise with zero downtime or data migration.

Treating problems as systems issues instead of people problems changes everything.

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.

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