Systems | Development | Analytics | API | Testing

The contemporary mobile ecosystem is incredibly complicated. Applications today are not standalone anymore; they are dynamic, heavy in features, and constantly communicating with cloud solutions, wearables, and IoT devices. Although the use of traditional test automation has contributed to enabling engineering teams to remain in step with agile delivery, the sheer number of fragmented devices and continually changing user interfaces has revealed the limitations associated with it.

Empower your teams to focus on building better products by automating the generation of reliable, maintainable tests in minutes—not days.

Hospitals today function at the crossroads of urgency, volume, and complexity. Patients anticipate quicker care, clinicians seek more efficient workflows, and administrators require better visibility, all amid rising costs. That’s where Hospital Management Software (HMS) earns its stripes. The global hospital management software market is projected to nearly double, reaching roughly at $57.64 billion by 2035.

First in a 3-part series on self-service K2K replication. This post tackles how to give self-service access to deploy K2K without handing over the keys to your Kafka clusters. Lenses developed K2K (Kafka-to-Kafka) to solve two major problems: This includes making it as self-service as possible so developers can deploy without requiring a PhD in MirrorMaker2. One key design requirement: don’t force engineers to manage credentials to authenticate with Kafka.

February introduces practical improvements across Test management, TestCloud, and TrueTest that help teams move faster while maintaining better control over testing operations. Here's what we have released.

In today's state, local, and education (SLED) environments—especially higher education—budgets are under constant scrutiny, and the demand for data excellence is constant. That means doing more with fewer resources. One high-impact change to your data workflows that can transform the quality of your data and AI while lowering costs is automating and documenting data lineage.

AI connectivity is enterprise infrastructure that governs, secures, routes, observes, and optimizes all AI interactions—providing the control layer organizations need to transform experimental AI into production-ready systems.

Over the last year, at Testlio, we have upskilled more than 600 testers in our global community to test AI-powered applications.

Lakehouse governance requires observability, access control, data lifecycle management, and more. Fivetran MDLS makes it easy.

Zero-ETL Database APIs let you access live data instantly without needing traditional ETL processes. Instead of extracting, transforming, and loading data, these APIs query databases directly in real-time, significantly reducing delays that can span hours. Key features include federated querying (accessing multiple data sources simultaneously) and schema-on-read (applying schemas dynamically during queries).