Systems | Development | Analytics | API | Testing

It’s easy to create APIs very quickly. However, creating APIs that are reliable when used in challenging distributed systems is much harder. Many development teams are moving quickly to ship features to the market, which has led to the verification vs validation distinction becoming the middle ground between a successful launch and an incident that could occur from a production system.

People feel more confident when their decisions are backed by numbers. That’s just human nature. Add a chart or a metric to a conversation, and suddenly an opinion feels more credible. This is one reason companies invest heavily in analytics tools. They’re not just buying dashboards, they’re buying confidence. Confidence that decisions are grounded in reality, not gut feel. But here’s the problem: having data doesn’t automatically make decisions easier.

Another year is wrapping up, and we’re taking a moment to reflect on what made 2025 a defining year for Kong. With major advances in building the AI connectivity layer and soaring enterprise adoption of agentic systems, this year sparked a hockey-stick surge in demand for the infrastructure that powers intelligent agents. Below is a rundown on the updates, the innovations, and the moments that moved the industry in one year-end recap.

See how AI Columns in Fivetran Activations transform scattered customer signals into clear scores, summaries, and talking points.

Most business leaders view application rationalization like cleaning out a garage: a painful, one-time chore to throw away junk to save space. It is often viewed strictly as a subtraction game that overlooks business context. Get rid of legacy technical debt to lower application costs and IT spend. But this mindset ignores value. A better way to view your application stack is through the lens of a stock portfolio.

Today’s software ecosystem consists of various devices, integrations, and user environments. The same application can have different behaviours in each environment, regardless if it had passed through unit, integration and system testing stages. Therefore, beta-testing is necessary. Beta testing is the bridge between an internal QA team and a company publicly launching its application.

Empower marketers to create and activate trusted audiences directly from the data warehouse.

Learn how leading brands elevate segmentation, personalization, and ROI through reverse ETL.

‍ The healthcare industry stands at the cusp of a revolutionary change, driven by an emerging technology that can do more than just analyse data; it can create it. That technology is Generative AI, or GenAI, and its arrival in medicine is being hailed as the next frontier in personalised, efficient, and predictive patient care.

‍As clinical data grows and patient expectations shift toward personalised communication, EHR-CRM Integration has emerged as a foundational capability for modern healthcare systems. On one side, the Electronic Health Record (EHR) system stands as the repository of vital clinical information, documenting everything from diagnoses and lab results to treatment plans.