Systems | Development | Analytics | API | Testing

Hitachi Vantara's Virtual Storage Platform One Now Available in the Microsoft Azure Marketplace

Expanded cloud compatibility and built-in capabilities like compression, provisioning and replication can help enterprises simplify operations and reduce storage costs by up to 40%. Microsoft Azure customers worldwide now gain access to Hitachi Vantara Virtual Storage Platform One to take advantage of the scalability, reliability and agility of Azure to drive application development and shape business strategies.

Moesif + Gloo Gateway: Deep API Analytics and Observability at the Edge

Solo.io Gloo Gateway gives teams a reliable way to secure, route, and monitor API traffic in real time. With its high-performance Envoy core and Kubernetes-native design, it meets the demands of distributed applications and modern service architectures. However, performance metrics alone don’t reveal how developers engage with your APIs or why adoption stalls.

Analyzing OpenTelemetry Logs in Moesif for Operational and Business Insights

As your application grows, the volume of telemetry data expands with it. Every additional service, customer, and feature generates more log entries. It becomes harder to quickly isolate the events that actually matter. Without the right tools, finding a single root cause can feel like searching for a needle in an ever-growing haystack. You may have already been using log search tools to find and act on errors. However, those tools rarely connect that data back to your API traffic patterns or metrics.

What are the primary objectives of manual testing compared to test automation?

Alex Martins, Katalon's VP of Strategy, explains that manual testing confirms application correctness through human checks, while test automation runs fast, repeatable regression tests to catch unintended changes and save time and cost. Follow Katalon for more insights in our series!

Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud

As AI models become commoditized, the conversation is shifting from building smarter models to building data infrastructure that turns models into real business value. Enterprises are accelerating their adoption of agentic AI—systems that don’t just predict but plan, decide, and act autonomously—across their software and operations.