Systems | Development | Analytics | API | Testing

In today’s fast-paced software development landscape, testing centers of excellence (TCoEs) are experiencing a revival. Once seen as artifacts of the waterfall era, modern TCoEs are emerging as indispensable hubs for driving quality, collaboration, and innovation in Agile and DevOps environments. This resurgence stems from their ability to centralize standards and unify distributed teams while supporting the rapid iteration that modern delivery demands.

On Black Friday 2024, Zipcar faced a severe technical issue that disrupted its app and website services, leaving countless customers stranded and frustrated. Users reported being unable to unlock cars, make reservations, or even retrieve belongings from rented vehicles. The fallout and backlash have been widespread, with many taking to social media to voice their frustrations with the platform.

Let’s explore software breakages through the lens of impact: If software is everywhere, what does that mean when software breaks?

We often hear from customers that they’re excited about what they could do with data and AI but are not sure how to do it. Or that the tech teams are “all in” but they can’t convince the powers that be to move forward. It’s not that they don’t know what to do — they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI. But many organizations seem to suffer from institutional paralysis.

We are seeing businesses across industries engage with large-scale projects needing a talent pool experienced in AI, cloud, IoT, or other emerging technologies. However, the fluctuating nature of these projects requires a flexible workforce, which can only naturally comprise part-time hires. This is why we see a steady investment in the staff augmentation market. The 2023 evaluation for the IT staff augmentation market was approximately USD 300 billion in the recent market reports.

At Confluent, we’re committed to building the world's leading data streaming platform that gives you the ability to stream, connect, process, and govern all your data, and makes it available wherever it’s needed, however it’s needed, in real time. Today, we're excited to announce the release of Confluent Platform 7.8. This release builds upon Apache Kafka 3.8, reinforcing our core capabilities as a data streaming platform.

In part one of this series, we managed distributed state using GenServers. This provided a foundation for understanding some core concepts in distributed Phoenix applications. Now, we turn our focus to deployment and scaling strategies. As your application evolves to meet growing demands, knowing how to scale horizontally, maintain high availability, and monitor distributed components becomes crucial.