Operations | Monitoring | ITSM | DevOps | Cloud

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

A quick walkthrough of the new infrastructure monitoring experience in SigNoz Cloud. We’ve made several additions to give you more visibility into your infrastructure health and help you troubleshoot faster. Here’s what’s new,

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

Analyze, visualize, and report database data across multiple database systems and cloud services with dbForge Edge. Write SQL queries or generate them with AI Assistant , analyze data with Pivot Tables, explore related records with Master-Detail Browser, visualize findings in charts, and create clear database reports — all within one multi-database solution.

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.

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.

What does it take to move from AI experimentation to real-world adoption, and where does sovereign AI fit into the picture? In Episode 2 of Season 2 of Perspectives from the Edge, Andrew Dutton,Enterprise Sales & Marketing Director at SCC, joins Pulsant’s Wendy Shearer to explore the challenges businesses are facing as AI moves from experimentation into production and scale.

One file changed. 9,716 tests in the suite. Only 44 needed to run. See how Smarter Testing uses Test Impact Analysis to cut the unnecessary tests and get to feedback faster.

CircleCI Smarter Testing is now generally available. In this tutorial, we’ll show you how Smarter Testing helps you run fewer tests, get faster feedback, and reduce unnecessary CI compute with three capabilities: Then, we’ll put it to the test. For the same code change, a traditional pipeline ran all 9,716 tests across 15 nodes. With Smarter Testing, CircleCI identified just 44 impacted tests and skipped the other 9,672, cutting test runtime from 3 minutes and 56 seconds to 22 seconds.