Systems | Development | Analytics | API | Testing

Say you’re a new developer, and you were just hired to test an e-Commerce website before it goes live. You want to make sure that the login function is working. Is it time for a smoke test or a sanity test? Well, it depends. If a login bug was recently fixed, then you’ll want to run a sanity test to check whether users can successfully log in with valid credentials or if the bug broke the login’s functionality.

In this episode, Nuwan Dias, Vice President and Deputy CTO at WSO2, joins to explore what effective API lifecycle management really looks like. Drawing on his deep experience building API platforms, Nuwan outlines the key pillars of successful API programs—from strategy and governance to security, testing, and deployment. He shares how organizations can operationalize API-first thinking at scale, and the role of dedicated API teams in enabling this shift.

Data leaders face a high-stakes challenge as stricter global and state-level privacy laws, like the American Privacy Rights Act (APRA), ramp up financial penalties — potentially up to 4% of a company’s global revenue — for compliance failures. Organizations must prepare for increased accountability and standardization in data privacy, sovereignty, and ethical AI governance, all of which demand stronger data safeguards and transparent practices.

Many pharmaceutical companies have been around for decades and must continually adapt to a rapidly evolving, technology-driven world. Even those that keep pace with digital trends often struggle with data silos and disparate systems, making it difficult to share information across platforms. This fragmentation hinders their ability to meet patient expectations, accelerate drug launches, and develop personalized therapies.

AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.

The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.

Application Performance Monitoring (APM) tools are software platforms that help developers, DevOps engineers, and technical managers track the performance and health of their apps and infrastructure in real time. They collect telemetry data like response times, error rates, resource usage, and user behavior, visualize this data, and make it easier to detect performance issues, pinpoint root causes, and ensure a smooth user experience. In short, they help teams be proactive rather than reactive.

There is a well-worn adage attributed to famous early American statesman and inventor Benjamin Franklin, who purportedly said, only two things in life are guaranteed: death and taxes. So it’s not without some sense of irony – Tuesday having been “Tax Day” in the U.S. (April 15, the day annual income taxes are due) – that we can proudly proclaim there are now officially THREE things in life that are guaranteed! What’s the third one, you (and Mr. Franklin) might ask?

The Java Native Interface (JNI) stands as a pivotal link between the realms of Java and native programming languages like C and C++. It plays a crucial role in Java programming, particularly when integrating native libraries — .so files in Linux or.dll files in Windows. JNI allows Java applications to access and leverage the performance and capabilities inherent in native code.

In 2025, over 80% of enterprises have adopted DevOps practices to speed up software delivery, improve system reliability, and enhance cloud-native transformation. With AI-driven automation, cloud-native applications, and the need for rapid deployment cycles, enterprises are investing more than ever in DevOps consulting services. Choosing the right DevOps implementation partner can make the difference between a stalled transformation and a high-velocity delivery pipeline.