Systems | Development | Analytics | API | Testing

From Epic EHR to HL7 files, EDI transactions, FHIR APIs, and secure on-premises data, Fivetran helps healthcare organizations unify fragmented systems into a governed, analytics-ready data foundation.

Website teams often use “testing” and “monitoring” in the same conversation, but they solve different problems. Website testing helps teams catch issues before changes go live. Website monitoring helps teams catch issues after the site is already in production.

Your CI pipeline worked fine when the app was young. Then the app grew. Features got split into modules. Teams formed around those modules. And somewhere along the way, what used to be a 4-minute build became a 25-minute one. Then 35. Now nobody pushes to main before lunch because the queue is already backed up. If this sounds familiar, you are not alone. According to Google’s 2024 Developer Survey, 83% of Android apps over 500,000 lines of code struggle with build performance.

Every few months, a frontier AI lab makes a move that says the quiet part out loud: agents are only as useful as the systems they can reach. The latest example is Anthropic's acquisition of Stainless, the company behind the tooling that turns API specs into SDKs and MCP servers. Anthropic's own framing is direct. Agents need to connect to data and tools, and the path from an API to an agent-ready interface needs to get shorter. We agree. We've been making a version of this argument for two years.

There’s a moment in every data team’s journey when a bill arrives with unexpected costs. It might be an egress charge you didn’t see coming, a query cost that spiralled when usage spiked, or the quiet realization that migrating your data to a different platform would take months of work and a significant budget. If you’ve been there, you know what vendor lock-in really costs, and it’s not just dollars.

When Brendan Eich created JavaScript in just 10 days in 1995 for Netscape Navigator, the Date implementation was borrowed directly from Java — and Java had in turn taken it from java.util.Date, which already had its own serious problems. The result was an API that shipped to the world with factory-installed defects.