Operations | Monitoring | ITSM | DevOps | Cloud

Senior engineers are the pillars of SRE programs—not only do they have the leadership to manage incidents well, they also have the tribal knowledge to understand the technical causes of tricky issues. But when the know-how is confined to a few individuals, it greatly limits the effectiveness of your SRE team.

When production breaks, the clues are everywhere but the story is scattered. RUM sessions, APM traces, metrics, and logs allow Datadog to tell you part of the story. What’s missing is your service ownership quirks, your team's conventions, or the three-year-old workaround buried in a comment that explains why a certain endpoint behaves the way it does.

New vulnerabilities emerge every day and thousands of endpoints change constantly — it's a continuous race against time. Patching isn't just deployment; it's manual handoffs and incomplete visibility that leave organizations exposed. This video shows how Ivanti Neurons for Patch Management provides immediate, authoritative insights into your IT estate so you can close security gaps faster.

AI agents are taking real actions in production. So when one misbehaves, who's accountable: the model provider or the company running it? David Sullivan explains why a regulated bank can't outsource accountability to an AI lab. James Faure shares how Clairo AI uses hypothesis testing and quality gates before any agent reaches production. Dr Rosemary Francis argues that guardrails which amount to a strongly worded letter won't survive. What agents need are genuine sandboxes and a limited blast radius.

A hands-on workshop on SigNoz MCP and the agentic workflows you can run in observability. Vishal Sharma, founding engineer at SigNoz, walks through.

Read more: https://www.speedscale.com/blog/load-test-postgresql-production-recordings/

Where is all your AI spend going? From AI coding tools and LLM tokens to autonomous AI agents, understanding what you're spending and what you're getting in return is becoming increasingly important. In this demo, see how **Harness AI Cost Management** gives engineering teams visibility into AI spending across developers, models, and applications, helping organizations track costs, manage budgets, and measure AI ROI.

Where is all your cloud and AI spending going? Harness Cost Management Agent helps companies track, understand, and reduce spending across cloud infrastructure, AI models, tokens, coding assistants, and AI agents. See who's driving costs, identify wasted spend, and get AI-powered recommendations to optimize your budget or automatically take action. It's not just about seeing your bill. It's about understanding what's driving it and how to reduce it.