How we do performance engineering at Fivetran
We were asked to make Fivetran faster than we thought possible.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The AI Dashboard Looked Perfect, Then Someone Spotted the Wrong KPI
The dashboard looked perfect. It was AI-generated, visually stunning, the kind of output that would sail through a stakeholder review without a second glance. Then, during a live stream, someone pointed out the KPI in the top left corner was wrong. That moment captures one of the most important and underappreciated risks in AI-generated analytics right now. A confident answer isn't the same as a correct one, and in enterprise settings, the gap between the two can be very expensive.
From 10 Days to Hours: How Delta Financial Systems cut regression testing time with SeaLights
Jamie Avery, Head of Development at Delta Financial Systems, explains how his team moved from multi-day regression cycles to same-day releases, without compromising quality in a highly regulated pensions environment.
AgentSpot HR Use Case - Resolve HR Helpdesk Tickets
New hires always have questions, and waiting on a response slows people down on day one. In this video, we use AgentSpot to build an Employee Policy Helpdesk Agent that pulls from your internal knowledge base and policy pages to answer everyday HR questions accurately, without paraphrasing or guessing. It knows when to escalate to a human and deploys directly in Slack so employees get answers right where they already work.
21 Essential Digital Marketing Tools for Growth in 2026
Digital marketing tools aren’t just a convenience—they’re a lifeline. It may sound intense, but without the right tech stack, your business risks falling into the shadows while competitors soar ahead. Think about it – the right tools don’t just improve productivity, but they also help you do more with less, freeing up time for strategy over stress.
OctoPerf v17: A New Foundation for Test Results
OctoPerf 17.0.0 is available, on the SaaS platform and for On-Premise installations. It rebuilds how test results are stored and read, upgrades Playwright, and considerably extends what an AI agent can do through the OctoPerf MCP server. One thing to know before you upgrade. A result recorded before this version must be updated before its report shows data again. Nothing is lost, and the update runs on its own the first time you open the report.
Guardrails, not gatekeepers: unlock Kafka self-service for developers
The standard approach for Kafka in enterprise environments is to lock it down and have engineers file tickets. Platform teams do that because traditional engineering tools (CLIs, UIs and native ACLs) have no enterprise governance, so you cannot grant access you can scope, revoke or prove later. That’s the Kafka ticket desk: the week is access requests instead of platform work, engineers wait days to ship and Kafka adoption scales only as fast as the ticket queue moves.
Playwright Best Practices: A Practical Guide to Reliable Test Automation
Playwright makes it easy to get a test running quickly. It's harder to keep a whole suite of Playwright tests reliable six months later, once your app has changed, your team has grown, and nobody quite remembers why a particular test is flaky three days a week. If you're new to Playwright, our guide to what Playwright is and how it works is a good place to start first.
What Is Playwright? A Comprehensive Guide to Modern Testing
Playwright has gone from a browser automation library most QA teams had never heard of to one of the most-searched testing frameworks in the industry, and interest keeps climbing. If you're evaluating it for your team, comparing it to Selenium or Cypress, or just trying to understand what the interest is about, this guide covers the fundamentals: what Playwright actually is, how it works, what it's used for, and where to go next once you're ready to dig into best practices. THE SHORT ANSWER.
How We Use AI to Smoke Test True Production Insights
Every testing vendor says "AI-powered" now. Fewer of them can show you the actual verification pipeline underneath that claim: what gets checked, what gets trusted without checking, and what happens the moment something breaks. This is that pipeline, as I run it against True Production Insights, formerly known as TrueTest, every time we ship a change to it.