Systems | Development | Analytics | API | Testing

Accelerate Gradle testing on Bitrise: Test Distribution private beta now open

We’re excited to announce the launch of our Gradle Test Distribution private beta on Bitrise. Starting today, Bitrise users can contact us to join the program and dramatically speed up Gradle test execution through scalable, parallel test distribution. This release is a major step forward for Android teams with large test suites and growing complexity. By hosting the Bitrise Build Cache, Test Distribution workers, and CI runners within the same data center fabric, we’re able to offer.

Announcing the Confluent Cloud Fully Managed Sink Connector for ClickHouse

Data is in motion, and it’s moving faster than ever. For developers and data architects building modern real-time data platforms, the ability to get data from anywhere and analyze it instantly is a superpower. That’s why we’re excited to announce a major step forward in this journey: the fully managed sink connector for Clickhouse, now generally available on Confluent Cloud.

How Confluent Helps Software Providers Build Real-Time Products and SaaS Faster

Bringing real-time capabilities to your product or software-as-a-service (SaaS) is no longer a nice-to-have; it’s a competitive necessity. Whether you're building a real-time payment platform, a patient monitoring system, or any product where instant data processing fuels great user experiences and artificial intelligence (AI)-driven innovation, Apache Kafka data streaming is likely at the core.

Iceberg 101: Better Data Lakes with Apache Iceberg

With growing data volumes, organizations are forced to rethink how they store and manage data. Traditional data warehouses, while powerful, became expensive and rigid when faced with the volume, variety, and velocity of modern data - leading to the rise of data lakes as a promising alternative. However, organizations soon found that data lake in themselves were not a panacea, and often provided limited utility due to their unstructured nature.

If an AI Agent Can't Find You, You Don't Exist

In 2025, the most important customer for your API isn’t a developer scrolling through documentation at 2 AM. It’s an AI agent making split-second decisions about which services to integrate, recommend, or build upon. And here’s the uncomfortable truth: if an AI agent can’t find you, you don’t exist. This isn’t hyperbole. It’s the new reality of how software will get built, integrated, and scaled in an AI-first world.

From Endpoints to Intent: Rethinking Agent API Workflows with Arazzo

Once, the rallying cry of the mobile revolution was ‘There’s an app for that.’ Today, the new reality is that AI-powered agents are substantially changing how we interact with software, coining a new catchphrase: ‘There’s an agent for that!’ From automating tasks to executing complex workflows and acting autonomously on our behalf, AI agents are becoming critical intermediaries in digital interactions.

What are compiler optimized internal PHP functions and should you import them via use statement?

Every once in a while when browsing through open-source code, you will probably have come across internal functions that are either imported implicitly with use function array_map; like here in Doctrine or prefixed with the global namespace separator, for example \is_string($foo) like in Symfony. Curious beings as we are, you might wonder as did I: Why are they doing this? Do function calls not automatically fall back into the global namespace?
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The Silent API Killer: Data Coupling in Your Tests

In API testing, speed, accuracy, and confidence in test results are everything. Regardless of whether you're validating functionality, testing performance under load, or ensuring compliance with your security posture and standards, the ultimate goal is the same: catching problems before they reach production. But what if your tests are lying to you? Lurking beneath even the most sophisticated test suites is a subtle, pervasive threat: data coupling. Data coupling is a silent API killer that doesn't throw immediate errors or break builds in obvious ways.

Predictable Scale: The 6-Step System to Drive Consistent, Sustainable Growth

Scaling a business shouldn’t feel like a game of chance. But for many executives, that’s exactly what it feels like – working harder, adding new initiatives, hiring more people – without knowing whether it’s actually moving the needle. Pete’s new Predictable Scale methodology was built to solve that exact problem. Pete came onto the Move The Needle podcast to give us an early peek into the methodology and upcoming course.