Systems | Development | Analytics | API | Testing

October marks Cybersecurity Awareness Month. It’s a timely reminder that the files you touch, share, and rely on every day often hold your most valuable data and are exactly what attackers are after. Unstructured data, like spreadsheets, documents, logs, and backups, makes up the majority of your business data. That’s what makes it the prime target for ransomware.

You’ve clicked on a link, and you wait. And wait. And wait. You wouldn't stay, and neither would your customers. Slow applications are more than just a minor issue in the cutthroat digital world of today; they may harm your brand, user loyalty, and revenue. This is where performance testing comes in. It's not a single, isolated step but a critical, ongoing practice that runs across the entire software development lifecycle (SDLC).

To better guide our roadmap, Fivetran uses revenue-weighted feature usage (RWFU) — a metric that shifts the focus from raw adoption to real business impact.

Fivetran usage and pricing made simple — understand MAR (monthly active rows), syncs, and what drives your data costs.

You’re presenting AI-generated analysis in your quarterly strategy meeting. The slides are polished, the insights look solid, and you’re ready to move the conversation forward. Then the CFO leans forward: “Where did this number come from? I reviewed this data last week and something doesn’t add up.”

Healthcare organizations are under growing pressure to connect legacy EHR (Electronic Health Record) and ERP (Enterprise Resource Planning) systems while safeguarding patient privacy and meeting strict compliance standards.

Real-time analytics has become a cornerstone of modern enterprises. Businesses are no longer satisfied with waiting hours or days for insights—they demand answers in seconds. The rise of AI, machine learning, and generative AI has only accelerated this need, putting immense pressure on data platforms to deliver reliable, scalable, and flexible architectures.

It’s Tuesday morning; the data team at a Fortune 500 manufacturing giant receives an urgent request from the sales organization. Customer territories need to be recalibrated based on real-time market dynamics, competitive intelligence requires immediate integration from external sources, and the executive team demands updated revenue projections by Friday's board meeting.

Software teams today face increasing pressure to deliver high-quality applications at speed. Continuous testing, test automation, and traceability are no longer optional — they’re must-haves for scaling development. Tools like Xray provide the structure and visibility teams need, but their success ultimately depends on how effectively people use them. That’s where Xray Academy comes in.

Your CEO just announced the company’s AI-first strategy and the product team is shipping AI features faster than ever. Marketing is promising intelligent automation to customers, while the QA team is left wondering how to actually test this stuff. Every QA team is grappling with the same challenge as AI becomes the default solution for everything from customer service to content generation.