Systems | Development | Analytics | API | Testing

Dynamic SSO Configuration: No More Restarts to Update Your Identity Provider

This is the fifth post in our "Features Sitting Idle" series, where we look at OctoPerf features that are already in your platform but often missed by the teams that would benefit the most. This one is for IT teams running OctoPerf on-premise. IT teams managing an on-premise OctoPerf instance regularly run into the same friction around SSO.

Xray and Lynqa: Agentic AI Test Execution in Jira

AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.

Pre-built Oracle test cases can't replace a test automation strategy

Pre-built Oracle test cases have become an increasingly popular resource as organizations look for faster ways to scale test automation. The appeal is understandable: reusable assets and templates can help teams accelerate onboarding and reduce the effort required to begin automation initiatives. Tricentis offers an Oracle test case library as a reference framework rather than an instant, maintenance-free automation solution.

Beyond Dashboards: Verivox's Path to Agentic Analytics

For years, the "Data-Driven" dream has looked a lot like a crowded screen. We built dashboards for every department, every KPI, and every niche project. But as we reached "peak dashboard," a frustrating reality set in: we were drowning in visualizations but starving for immediate insights.

How to Create Data-Driven Load Testing Scripts for Complex User Journeys (2026 Guide)

Picture this: you’ve completed a round of performance testing, and your load testing scripts all pass with flying colors. The release goes live, but within hours, users report sluggish performance and intermittent failures. What happened? In most cases, traditional scripts relied on static payloads and linear request patterns, failing to reflect the unpredictable, multi-step journeys of actual users.

Disaster Recovery for Retail: Are You Protecting Systems or Protecting Revenue?

Every year, retailers invest millions in uptime. Yet when disaster strikes, most discover their DR plan protects infrastructure, not the business that runs on it. “It wasn’t the outage that hurt us most. It was the 45 minutes we had no idea it was happening.” – CTO, UK fashion retailer, post-incident review You have a DR plan. Your infrastructure team tested it six months ago. Your board presentation has a green tick next to Business Continuity.

The Skill AI Can't Generate: Why Discernment Is the New Data Literacy

For more than a decade, I have argued that the most valuable skill in a data-driven organisation is not access to information. It is the judgment to know when that information is wrong. AI has made that skill more important, not less. When I wrote about AI literacy in 2023, the pushback I heard most often was that the technology was not yet good enough for the question to matter. Now it is. AI can generate answers, summaries, recommendations, code, analysis, and increasingly, actions.

Jet Analytics Flyover

See Jet Analytics in Action Watch how Jet Analytics helps Microsoft Dynamics organizations connect to modern cloud platforms in hours — not months — while eliminating the fragmented data stack that slows teams down and drives up costs. This flyover demo shows how a unified, zero-access platform delivers the governed, AI-ready data foundation your organization needs, without rebuilding pipelines from scratch or starting over.

AI is Exposing Observability's Dirty Secret

The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.