Systems | Development | Analytics | API | Testing

Summary Kafka has become the backbone of the real-time enterprise. The streams it carries are not only time, but business critical: a fraud event isn't processed, a sales order not fulfilled, a trade not settled. Yet we heard a recurring theme from Kafka teams: their business is running critical streaming applications without proper Kafka resiliency.

Citizens today compare government digital services to the best experiences they have in the private sector. A missed benefit payment. A tax portal that crashes during filing season. A license renewal that takes weeks instead of minutes. Today, software failures aren’t just IT problems, they’re public trust problems, and many state and local agencies are struggling to deliver digital services quickly, effectively, and consistently.

Companies already spend more than $1 trillion a year trying to catch bad code before it ships. AI is making that job a lot more difficult.

Test automation tells you what happened. Release assurance empowers you to decide what to do about it, closing the loop from business intent to production confidence.

Automated data integration enables AI and analytics based on mission-critical operational data stored in IBM Z.

Interoperability means the optionality to adapt to rapidly changing future demands.

A Node.js application can continue starting, accepting traffic, and passing health checks long after the runtime underneath it has become unsupported. That creates a dangerous assumption: In reality, “running” and “supported” are two very different states. A Node.js release is more than a JavaScript executable.