Systems | Development | Analytics | API | Testing

Peanut butter has jam. Wine has cheese. Great Britain has pubs. The world is filled with things that are great alone, but that together, create an even greater – dare I say, legendary – combination. Now it comes to the world of data platform management. Sorry, I’m getting ahead of myself. You see, a few months back I predicted 2025 was going to be a big year for data platforms. One such solution being Hitachi Virtual Storage Platform One (VSP One).

As software systems get increasingly complex every day, the challenges of effective testing also escalate. Software testing involves handling large datasets, complex workflows, and shorter release cycles.

We have all seen the frenzy of Devin AI—teams racing to spin up models, orchestrate data flows, and automate every possible touchpoint. But beyond the hype, two architectural patterns quietly power next-generation pipelines: Model Context Protocol (MCP) and Agent-to-Agent (A2A). Below is the roadmap for our deep dive into MCP (Model Context Protocol) and A2A (Agent-to-Agent).

Upgrading to SAP S/4HANA is more than a technology refresh—it’s a strategic business transformation. With its real-time data processing, simplified architecture, and enhanced user experience, SAP S/4HANA promises agility and innovation. But realising that promise requires more than just a successful migration—it demands a rock-solid Quality Assurance (QA) foundation.

We're excited to announce the release of the next generation of Control Center for Confluent Platform, which delivers higher partition limits, faster spin-up time, metrics freshness, and simpler operational overhead. Confluent introduced Confluent Control Center in 2016 as part of Confluent Platform, simplifying Apache Kafka operations and delivering end-to-end visibility into data pipelines.

We’re excited to announce the General Availability (GA) of the Confluent fully managed V2 connector for Apache Kafka for Azure Cosmos DB! This release marks a major milestone in our mission to simplify real-time data streaming from and to Azure Cosmos DB using Apache Kafka. The V2 connector is now production-ready and available directly from the Confluent Cloud connector catalog.

Your teams want the immediate insights of stream processing with the scale and historical context of batch processing—but traditional data infrastructure forces you to resort to disparate tooling or manual workarounds to bridge that gap. This quarter’s release, coming to you live from Current London, brings new features in Confluent Cloud that fundamentally change this dynamic by seamlessly unifying stream and batch processing.

If you want to run a health-check on your Android app, Android Vitals is a great piece of kit. Developed by Google and available on the Google Play console, this performance and stability checking tool helps us fix issues proactively, improve the technical quality of our apps, and avoid uninstalls. Crucially, it will also improve our Google Play ranking, because Google Play ranks app quality using Android Vitals data. And the really great news?

Managing microservices is tough. With 91% of organizations using or planning to adopt microservices, monitoring their performance is critical. Application Performance Monitoring (APM) tools simplify this by tracking data flows, identifying issues, and improving system reliability.

In 2025, companies are taking a cautious approach toward technology investments. That’s not surprising, given the uncertainty of the current global economic climate. For finance teams hoping to upgrade their systems this year, delayed ERP projects might sound like bad news, but if replacing your current system is not in the cards for 2025, there are still ways to enhance the overall value of your ERP software right now. ERP systems typically have a useful life of software between five and 15 years.