Systems | Development | Analytics | API | Testing

The user experience of an app can often generate impacts in unexpected areas. As the industry shifts to a rapid development cycle with more new features being released rapidly and a growing number of code changes each month, development teams find it difficult to deliver new capabilities while also maintaining stability. The question is not whether regression testing is necessary. It is how to decide which form of regression testing is best for a given change.

When I talk to customers about privacy and their data, the topic is data sovereignty. More and more organisations want their data to stay in a specific jurisdiction, with no transfer to, or access from, another region. A few years ago, this was something for lawyers and compliance teams to worry about. Now it is a regular item on the C-suite agenda because it touches cloud strategy, innovation projects, and how you run the business day to day.

In 2025, open banking APIs are changing how money moves. They act as secure digital connectors, allowing banks, fintech startups, and third-party providers to share financial data in real-time. What began as a regulatory push has now evolved into a full-blown market revolution. According to Grand View Research, the global open banking market reached nearly USD 31.6 billion in 2024 and is projected to cross USD 135 billion by 2030.

‍ Banking has moved far beyond counters and teller windows- it now fits right in your pocket. In just a few years, mobile banking apps have revolutionised how people manage their finances. What once meant standing in line at a branch or waiting on hold can now be done in seconds, whether you are applying for a loan or transferring money. This shift is only getting faster. Banks and fintech startups are all focused on making banking not just digital, but more personal and intuitive.

It was a normal day in the land of eCommerce. Birds were singing, dashboards were loading, and merchants everywhere felt cautiously optimistic. Then the ground trembled. A tiny glitch. A flicker. A warning log no one read. And suddenly— BOOM! Shopify burst out of the digital ocean like a gigantic scaly beast that woke up on the wrong side of the server rack. Checkouts froze mid-purchase. Product pages stopped producting. Merchants stared blankly at blank screens. The Commerce Kaiju had arrived.

Choreo already provides application developers with powerful CI/CD pipelines, enabling them to automate, customize, and streamline build and deployment processes. However, until now, external resource integration was limited strictly to APIs—lacking a native mechanism to create or register other external dependencies like databases, message queues, or storage services directly within the platform.

AI has become an integral part of how we work today. From writing code to managing workflows, AI assistants help us complete tasks faster and with greater precision. In modern software products, AI copilots are no longer a luxury, they’re a necessity. They reduce cognitive load, simplify complex workflows, and allow users to focus on what truly matters.

When we talk about JSON schema in the world of Kafka and streaming, you may assume the schema for the events/messages. But how many times have you fumbled in the configuration about trying to get an application deployed? Schemas that describe how to configure and deploy Applications or applications-as-code, are also important, allowing us to automate application landscapes. Especially as we will soon be a wash with catalogs for AI Agents, MCP servers etc.

If your company is still delivering data to customers via FTP (File Transfer Protocol) or SFTP, you are trapped in a legacy workflow. While FTP was the standard for decades, today's digital landscape requires speed, security, and automation. Relying on manual file uploads, batch scripts, and static CSVs is no longer just "old school"—it is a liability. It leads to data latency, security risks, and poor customer satisfaction. Modern businesses are moving from "file drops" to using modern API's.

For years, virtualization quietly powered the world’s digital infrastructure. Enterprises and government agencies relied on trusted platforms to keep workloads stable, secure, and efficient. But now, the landscape is rapidly shifting. Organizations are now looking for new capabilities in a virtualization platform, according to a new report by Red Hat, with 38% of companies desiring automation and AI-powered capabilities, and an anticipated 45% rise in the use of containers.