Operations | Monitoring | ITSM | DevOps | Cloud

Australia’s home-grown global automated infrastructure platform is part of a cohort of companies with Australian operations that will provide regional businesses and institutions access to NVIDIA accelerated computing and NVIDIA Nemotron open models. It’s a point of pride for all of us at Megaport that we’ve built a global automated infrastructure platform while maintaining our deep Australian roots.

Manual data entry drags down your infrastructure management. Every rack change or device swap means hours lost reconciling spreadsheets before anyone trusts the numbers. Hyperview’s agentless auto-discovery flips that script by delivering live, device-level insights across your entire infrastructure. Say goodbye to stale records and hello to faster decisions, cleaner sustainability metrics, and confident incident analysis. Start a free trial to see how your team can work smarter, not harder.

Microsoft's priority cleanup can now delete Preservation Hold Library content despite retention policies and holds. The roles, the query, the approvals and the limits.

A recent update to VirtualMetric DataStream centers on how content moves into the platform and how securely it travels. Content management has been reworked around a GitOps workflow, TLS configuration has been reworked across devices and targets, and a broad set of new database devices, targets, and pipeline improvements have been added. Here’s what’s new.

AIOps explained in plain terms: what it means, how it differs from AI-SRE and MLOps, how it detects problems, and whether a small team needs it. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Running AI coding agents in parallel across repositories is no longer experimental. It’s how high-performing engineering teams ship faster. But the tools you pick to orchestrate those agents can either multiply your output or introduce new bottlenecks. GitKraken gives your team a purpose-built surface for AI coding agent orchestration through Kepler, its agent-agnostic development environment. Before you commit to any orchestration tool, though, you need to ask the right questions.

Every developer knows the fatigue of the "12-tab code review dance": Agents have become first class citizens in SDLC and AI coding agents author code alongside human engineers, thus the above context switching destroys flow state. GitHub's gh CLI proved developers love the terminal, but modern delivery is tied to AI reviews, pipeline executions, risk scoring, and autonomous agents, not just git hosting.

Show to run Pen Testing on Harness : A contained, pipeline-native way to prove releases fail closed under named conditions. Evidence-first, not an exploit — audited on every run.