Systems | Development | Analytics | API | Testing

How Astera Uses ARIA: IT Agents

Oct 30, 2026 By Astera Software In Astera
IT touches almost everything in a software company, from accounts and security to infrastructure, which means even a small delay becomes a bottleneck. Sudais (Growth Strategist) sits down with Abbas Hussain (Product Solutions Engineer), to talk about how Astera uses ARIA in IT: the IT agent that Abbas helped build, how it works, and how it has become part of the IT team's day-to-day.
View Video

Ep 97 | AI Agents Move Fast. Who's in Control?

Oct 30, 2026 By Cloudera, Inc. In Cloudera
One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.
View Video
bugraptors

AI Observability in Production: How It Secures Modern Agent Workflows

Oct 30, 2026 By Prateek Goel In BugRaptors
Traditional software monitoring builds reliability by tracking uptime, latency, and error rates. As artificial intelligence moves into core enterprise operations, establishing robust observability in AI becomes essential to measure what systems do once live, moving far beyond basic prediction accuracy and server health. Modern non-deterministic models and autonomous AI agents act rather than just predict.
Read Post

Build Embedded AI Analytics with Claude Code in 30 Min | LiveBuild | ThoughtSpot

Oct 30, 2026 By ThoughtSpot In ThoughtSpot
Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.
View Video

AI Workspace + Jira: Increase Jira test coverage with agentic workflows

Oct 29, 2026 By Tricentis In Tricentis
Requirements change in Jira all the time, and QE teams have to catch every edit to update their test cases. Connect Tricentis AI Workspace agents to Jira and qTest, so any requirement change generates and updates test cases for you with the right context. In this walkthrough, Senior VP of Product Marketing Ryan Yackel, will show you how a Jira edit triggers an agentic workflow, pushes test requirements into qTest, and creates test cases with a human-in-the-loop checkpoint.
View Video

How to measure productivity in the age of agentic testing

Oct 29, 2026 By Tricentis In Tricentis
In this AI transformation roundtable, Nate Custer, Principal Technologist at TTC Global, shares how to measure productivity on an agentic quality engineering team. Drawing on a mainframe regression story, he explains why saving time only matters if you use it to close coverage gaps. He also argues that QA teams should track how often they have to fix AI-generated code, and why that measurement might mean more than speed or headcount.
View Video
kong

AI FinOps: Moving Beyond Cost Visibility to Control, Optimization, and Value

Oct 29, 2026 By Dan Temkin In Kong
AI FinOps must not be an afterthought but should be a critical and mandatory component for any enterprise AI program.. The explosive growth of AI workloads from simple AI-assisted coding to product autonomous multiagent systems complicated by highly dynamic usage-based pricing has introduced next level risk in tracking and managing spend. As the Gartner report points out, 85% of enterprises have no automated controls to stop cost spikes.
Read Post

Control the spend and usage of your AI testing agents | SmartBear BearQ

Oct 29, 2026 By SmartBear In SmartBear
Worried an AI teammate could rack up a surprise bill? In this video, you’ll learn how SmartBear BearQ gives you real governance over AI testing spent – built with pre-baked monthly limits, so your team always knows what to expect before a single agent gets to work.
View Video
oril

Real Estate Data Enablement: Make Property Data Usable for AI, Reporting, and Automation

Oct 29, 2026 By Roman Havrylyuk In ORIL
Which properties in your portfolio are becoming less profitable, and why? A reliable answer usually means pulling lease and occupancy data from the property management system (PMS), operating costs from accounting, maintenance records from a third platform, and rent comparables from outside the company. Some of it lives only in a spreadsheet one analyst maintains. The answer can take days, and two teams can come back with different numbers. Large real estate companies rarely lack software or data.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.