Systems | Development | Analytics | API | Testing

If you’re on a platform team running Apache Kafka, you know it’s rarely simple. You’re expected to keep it stable, performant, and secure while juggling requests from every direction. Supporting multiple teams and partners leads to operational complexity that never really goes away.

As a critical, stateful system, migrating Apache Kafka deployments is virtually always a complex engineering project where the most significant expenses are often hidden. Scoping and committing to a Kafka migration requires multiple layers of careful calculation involving infrastructure choices, data complexity, team expertise, and risk tolerance. Underestimating these variables leads to blown budgets and extended timelines.

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.

‍ Every year, billions of dollars crisscross the globe, not through exotic trades but everyday remittances. In 2024, global remittance flows reached around USD 905 billion, growing at a CAGR of 4.6% over 2023. These flows now exceed foreign direct investment in many developing countries, underlining how critical remittances are for economies and families. ‍

Code stability and reliability can be a concern when building front-end applications. As web applications become more complex, web developers require a test framework that is simple yet incredibly powerful. This is where Jest testing comes in handy. Jest is a testing type designed and maintained by Facebook, which is already the ideal tool for most front-end programmers needing precise, fast, and robust test coverage.

Epic (EpicCare) is the clinical backbone for most major healthcare organizations. Yet, for developers, analysts, and innovators, accessing and using Epic data remains one of the most complex challenges in health IT.

In a world where digital velocity defines competitiveness, quality can no longer be a bottleneck: it must be a catalyst. To help enterprises scale with confidence, Katalon and QualityKiosk Technologies (QK) have partnered to launch a transformative QA Assessment Initiative. This initiative is designed to benchmark, elevate, and future-proof quality assurance practices across industries.

In modern applications, real-time interactions have become the norm. Users demand immediate communication in apps like chat platforms, collaborative tools, live streaming services, and games. WebSocket APIs provide an effective means of creating interactive real-time apps by allowing persistent, bidirectional communication between the client and the server. We’re thrilled to announce support for exposing and managing WebSocket APIs with OAuth 2.0 security and other capabilities with Bijira.

Apache Iceberg has rapidly become the leading open table format for modern data lakehouses, enabling organizations to combine the cost-effectiveness of data lakes with the reliability and performance of data warehouses. However, successfully implementing and managing Iceberg tables at enterprise scale requires understanding both the technical fundamentals and the operational complexities involved. This guide walks through the essentials of working with Iceberg tables, from creation to optimization.

Tricentis SeaLights now supports SAP ABAP — expanding our SAP Change Impact Analysis solution by bringing SAP testing to the cloud. This new capability enables SAP teams to improve testing efficiency, reduce quality risks, and accelerate releases in modern cloud and hybrid environments. By delivering precise, actionable insights into what needs to be tested and where coverage gaps remain, SeaLights empowers teams to focus their efforts where it matters most.