Operations | Monitoring | ITSM | DevOps | Cloud

Agentic AI can act, decide, and resolve on its own. Powerful, but it comes with real risk. Without the right guardrails, autonomy can lead to data exposure, compliance issues, and unintended actions at scale. This episode shows how to keep control with governed, deterministic automation.

As businesses move toward hybrid work models and complex cloud ecosystems, traditional IT Asset Management (ITAM) is no longer enough. In this webinar, hosted by PT Sinergi Wahana Gemilang and featuring experts from Infraon (Everest EMS Technologies), we dive deep into how organizations can transition from manual tracking to automated, AI-driven asset management. We explore the full asset lifecycle from procurement and real-time tracking to maintenance and secure disposal, and discuss how to mitigate security risks and optimize IT spending in 2026.

Workflows are a powerful tool for businesses of all sizes – if they are intuitive enough to be used by tech and non-tech-savvy people alike. InvGate's Workflows module reduces the learning curve and technical knowledge required, making it easier than ever for users to understand and effectively build workflows quickly. Plus, it comes with multiple perks: Get ready to automate your whole organization's processes on InvGate Service Management!

Managing GitOps at scale shouldn’t feel like an endless game of "Whac-A-Mole." In this 3-minute demo, we show how Harness AI moves beyond simple syncs to provide agentic troubleshooting and automated orchestration for your entire GitOps estate. Watch as we use the Harness DevOps Agent to: Identify Common Failure Patterns: Instead of clicking through individual clusters, we ask the AI to analyze 4 out-of-sync applications simultaneously.

Even with perfect data and unlimited time, teams still make the wrong decisions sometimes.

Learn more: speedscale.com.

Stop paying for every test run! Building AI apps is expensive, but your dev environment shouldn't be. In this video, I show you how to use LLM simulation to get realistic responses and latency without the massive API bill.

Installing kubernetes cost optimization software is typically time consuming and a drain on engineering teams. Pepperdata’s self-service install can get you started optimizing with just a few steps – completely on your own.

See our latest Episode of This Month in Datadog, for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. We also cover: This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events.

Modern distributed systems must simultaneously respect where data must live, where it should live for performance, and where it needs to live for resilience. Data sovereignty and residency requirements increasingly affect technical design decisions, not only in regulated industries, but in any global product that must navigate regional expectations, latency constraints, cost structures, and operational realities.