Operations | Monitoring | ITSM | DevOps | Cloud

See how Harness Database DevOps and DBmarlin work together to give you full visibility into query performance, automated deployment verification, and AI-assisted database change authoring - all inside your CI/CD pipeline. Most teams deploy database changes blind - they push a schema migration and hope nothing breaks. This demo shows a better way: DBmarlin surfaces the cost and performance of every query before and after a change, while Harness CV uses AI/ML to automatically detect regressions and block bad deployments from reaching production.

Building a service request catalog is a quick win for your IT support strategy to improve employee experience and reduce agent workload. In this video, we present a simple four-step process for building a service request catalog using InvGate Service Management. This video shows how to build a service request catalog to.

Forgot your OnPage password? Enter your OnPage ID, click Next, and select Forgot Password. Submit the email address associated with your account or your OnPage ID, then click Recover Password. You’ll receive a temporary password by email, which you can use to log in and create a new password. If you don’t see the email, check your spam folder.

Learn how to download the OnPage app and create a new account. This quick tutorial walks you through entering your account details, choosing a unique OnPage ID, creating a password, and completing registration. You’ll also learn how to enable notifications and critical alerts so important OnPage alerts can sound and appear on your lock screen—even when your iPhone is muted or Focus mode is enabled.

In Kepler ADE by GitKraken, you can connect and use whichever AI coding agents fit your workflow. This video shows how to configure agents, set defaults, manage multiple accounts, and run parallel sessions.

What happens when AI agents stop simply answering questions and start using computers of their own? It could create an entirely new boom in virtual machines. In this episode of Uplink, David Crawshaw, Co-Founder and CEO of exe.dev, joins host Michael Reid to explore the infrastructure behind the rapidly emerging world of AI agents. As agents become capable of writing code, running applications, operating tools, maintaining state, and working independently, they need more than access to an AI model. They need computing environments where they can actually get work done.

Hardened base images are a great secure foundation. They're minimal, security-vetted, and have few dependencies to worry about. But almost nobody ships a bare base image. Teams build on top of it. This video cover whys that "on top of it" layer is where the risk actually lives: Skip the base image hardening and you're building on a shaky foundation. Skip artifact management and you're leaving everything built on top of that foundation ungoverned. A strong posture uses both.

Linux security benefits from transparency. Open source makes code available for scrutiny, allowing vulnerabilities to be identified, understood and addressed. At enterprise scale, that transparency plays an important role in how Linux security is managed.

See how Bits Chat turns a natural-language request into an automated incident response workflow. In this demo, Bits Chat builds a workflow that investigates a monitor alert, identifies whether a recent deployment caused the issue, rolls it back when appropriate, and sends a summary to Slack.

As AI agents take on more complex tasks, their token consumption can add up quickly. Now ask yourself, is it delivering the results you expect it to?