Systems | Development | Analytics | API | Testing

In today’s high-speed world of software delivery, performance engineering can’t afford to be a bottleneck. Teams are shifting left, moving fast, and integrating feedback loops earlier and more often, but performance feedback still too often lags. If your performance testing still hinges on last-mile validations or project-based assessments, you’re not alone. Many teams are struggling with how to evolve their practices from siloed testing to scalable, integrated performance engineering.

E2E Testing is a method to test a software from the consumer’s perspective. It involves simulating real scenarios, including user interfaces, backend testing. The purpose of E2E testing is to validate the application’s overall behavior, including its functionality, reliability, performance, and security. E2E Testing helps in identifying issues when one or more components interact with each other. It is usually done after integration testing, which tests individual component.

In today’s API-driven world, strong API design is key to building reliable and scalable services. Without structure or standardization, the design phase can quickly spiral into chaos. Common problems like misaligned teams, tightly coupled systems, code duplication, and inconsistent standards begin to snowball. This causes delays, poor customer experiences, and in some cases, long-term technical debt that becomes a serious business risk.

In today’s rapidly evolving tech world, coding isn’t just about writing lines of code — it’s about crafting them smarter, faster, and with greater precision. This is where AI coding assistants come in: intelligent tools designed to streamline development workflows, catch errors early, suggest enhancements, and even generate complete blocks of code, empowering developers to work more efficiently than ever before.

I’ve Seen Three Types of Employee — Only One of Them Guarantees the Success of Your Startup. Read the blog to find out which!

The string is arguably the most essential data type in programming — every programming language and software in the world uses strings in one way or another. It enables humans to easily communicate with sophisticated programs and machines. One thing that would help you a lot as a programmer is understanding how to use and manipulate strings so that you can build programs users love.

Earth Engine in BigQuery capability allows SQL users to analyze geospatial data, even if they don't have remote sensing experience.

Indexing with column granularity, now in preview, adds column information to indexes, helping BigQuery pinpoint relevant data within columns.

As highlighted in the Quantum-Safeness of WSO2 Products blog, the need for alternative digital signature algorithms has become increasingly urgent. While post-quantum (Q) algorithms are gaining traction, they require time to build industry-wide trust. To address this, hybrid post-quantum digital signatures have emerged, combining classical (C) cryptographic methods with post-quantum (Q) algorithms to ensure resilience against both classical and quantum threats.

The software development landscape is undergoing a significant transformation in 2025. The global software market is projected to reach approximately USD 741 billion, with enterprise software generating USD 315 billion and application development software contributing USD 196 billion in revenues. Simultaneously, 75% of companies integrate AI into their core operations, and 82% of developers now use AI-assisted coding tools.