Operations | Monitoring | ITSM | DevOps | Cloud

End-to-end testing should not slow your delivery pipeline down. But for many teams, Playwright test suites still live in disconnected jobs, produce noisy failures, and make it hard to tell whether a failed test is a real regression, a flaky test, or just another false positive. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness AI Test Automation helps teams run, analyse, and trigger Playwright tests directly from their software delivery workflows.

Solution Architect Jeff Schnitter walks through arrays of primitives in Workflow User Inputs, turning an object you have to transform into an array you can pass straight through. What it does.

#aicoding #theoryofconstraints

See how Skylar Automation transforms incident response by orchestrating workflows across the tools your teams already use. In this demo, watch Skylar Automation respond to a critical service degradation by automatically creating a ServiceNow incident, paging the on-call engineer in PagerDuty, notifying the Microsoft Teams operations channel, and keeping updates synchronized across platforms. With Skylar Automation, teams can.

When should you use gcx? If Grafana Assistant is the brain and Grafana MCP is the easy hand, gcx is the power hand. Built for AI agents working in the terminal, gcx gives them deep access across Grafana Cloud—so they can pull telemetry, verify code, automate workflows, and access places MCP doesn’t. Coding agents? gcx. Need the full Grafana Cloud surface? gcx. Automating in CI/CD? gcx. Here’s where it fits, and when to use it — explained by Nicole van der Hoeven.

Internet performance monitoring (IPM) gives IT leaders, operations teams, and network engineers visibility into the ISPs, carriers, and SaaS services their business depends on but doesn't control. In this LogicMonitor and Catchpoint webinar, Callum Brown (presales, EMEA, LogicMonitor) and Brandon Dunlap (solution engineering, Catchpoint, a LogicMonitor company) show how to operationalize IPM, moving from visibility to control.

SCC replaced fragmented tooling, including Nagios, with unified observability the whole team can use. The session covers proactive monitoring, SLA protection, and serving more customers without adding headcount per account. It's made for MSP leaders exploring AIOps for MSPs and observability for MSPs.

Building an agent and not sure how to approach something? Bring it. AURA office hours are recurring working sessions with the people who build it. The team has been talking to people trying out AURA and hearing the same good questions come up more than once. Office hours are the answer to that: a standing slot on a schedule, rather than one conversation at a time. The format is deliberately loose. Nobody is arriving with thirty slides to spend an hour talking at you. The session goes wherever the questions go.

Dynatrace gives engineering teams deep, real-time visibility into every service they run. That visibility is the foundation of every effective reliability practice, and it's exactly the foundation Gremlin is built to extend. Once you can see how your distributed systems behave today, the next step is knowing how they'll behave under failure tomorrow—and to do it before those failures happen.

If an AI model can find a vulnerability for an attacker, the same model should help a defender fix it. In practice, the math doesn't favor the defender. This quick video digs into the real asymmetry AI-powered vulnerability discovery creates: The goal is models acting as tools for defenders, not weapons for attackers. Getting there means rethinking how much ground your team can realistically cover on its own.