Systems | Development | Analytics | API | Testing

xray

Why Xray's AI Test Model Generation is Key to Scalable DevOps Quality

Apr 24, 2026 By Mariana Santos In Xray
DevOps has transformed how quickly software can be delivered, but speed alone does not guarantee resilience. As organizations scale, their systems become increasingly interconnected, with more services, more dependencies, and more edge cases that must be considered in every release. What once felt manageable with a handful of regression tests can quickly become opaque when dozens of teams are contributing to the same ecosystem1.
Read Post

MCP in Production: Governing Agentic API Consumption | DeveloperWeek

Apr 23, 2026 By WSO2 In WSO2
As AI agents begin interacting with APIs, traditional API governance models need to evolve. In this DeveloperWeek session, Derric Gilling (WSO2) explains how organizations can manage and secure agent-driven API consumption using the Model Context Protocol (MCP). Unlike human applications, AI agents can generate large volumes of API calls from a single prompt. Without proper controls, this can lead to unexpected costs, security risks, and limited visibility into how APIs are being used.
View Video

Data & AI Anywhere: Mastering Digital Sovereignty with Cloudera

Apr 23, 2026 By Cloudera, Inc. In Cloudera
Hey, did you know?... Cloudera's "anywhere" approach means *you* get to choose and control where you deploy your data and AI. Continue watching to hear how we make that possible. In this video, learn how Cloudera helps organizations maintain comprehensive control over their most valuable assets through three critical pillars: Chapters.
View Video
bugfender

Android Studio Breakpoints: How to Debug Android Apps Faster

Apr 23, 2026 By Aleix Ventayol In Bugfender
Breakpoints are one of the most useful tools we can call on when we’re debugging applications. If you’re not familiar, they allow us to pause execution and examine what the program is doing at that moment. And Android Studio offers a whole bunch of add-ons to supplement its core functionality. In this guide, we’ll show you how Android Studio breakpoints work and how you can maximize their potential in your day-to-day work.
Read Post
databox

Agentic Analytics in Practice: How AI Moves from Answering Questions to Closing the Loop

Apr 23, 2026 By Alexander B. Pavlinek In Databox
I spent years building dashboards that nobody used. Not because they were bad dashboards — they were actually pretty good. Clean visualizations, real-time data, all the metrics leadership said they wanted. But here’s what I learned: the problem was never the dashboard. The problem was the gap between seeing what happened and doing something about it. You look at a dashboard. It doesn’t act.
Read Post
bitrise

What App Stores allow with OTA updates: Apple and Google policy explained

Apr 23, 2026 By Dan Žďárek In Bitrise
A critical bug is live in production. Your fix is ready. And now your team is staring at a potential multi-day wait for app store review. This is exactly what over-the-air (OTA) updates are designed to solve. Tools like Expo EAS Update, CodePush, Shorebird, Revopush or Stallion make it easy to push updates directly to users’ devices. But OTA updates don't bypass app store rules, they operate within boundaries that both Apple and Google have defined.
Read Post
kong

Introducing Kong A2A and MCP Metrics: Visibility and Governance for AI Tool Adoption at Scale

Apr 23, 2026 By Amit Shah In Kong
Scaling LLM and agentic AI adoption from pilot programs to enterprise-wide deployments is a massive logistical rollout. As AI and agentic usage grow, so does a nagging question for leadership: **Are agents using the right tools to get the job done?** While raw infrastructure metrics might tell you if a server is "up," they fail to tell you if your AI investment is being leveraged.
Read Post

How Semantic Layers and Ontologies Create Trusted AI

Apr 22, 2026 By ThoughtSpot In ThoughtSpot
Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.