Learn how Fivetran’s Hybrid Deployment helps enterprises conquer data silos, achieve security and build a strategy for future growth.

Choreo is a powerful internal developer platform (IDP) as a service built for enterprises, offering a comprehensive suite of tools for CI/CD, API management, DevOps, observability, and business insights. It provides an all-in-one solution for building, deploying, governing, and monitoring enterprise applications—eliminating the need for developers to build complex CI/CD workflows or set up custom platforms.

We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.

As customer expectations evolve, contact centers face an immense challenge: turning massive volumes of interaction data into meaningful insights. Traditional performance management systems often fall short of fully capturing the nuances of customer conversations and employee performance, limiting their ability to provide actionable insights. But what if every interaction could be harnessed to improve customer satisfaction, reduce operational redundancies, and prevent customer churn?

It’s often said that being first to market with a new product or idea is the key to success, and in many cases it is. But Apple has never chased the so-called first-mover advantage. Apple wasn't the first to release an MP3 player or even the first on the market with a smartphone, yet it has consistently redefined what's possible with technology.

We are excited to announce the launch of Tricentis qTest Copilot, a generative AI assistant that helps save significant time in the creation of manual test cases. qTest Copilot is seamlessly embedded into the Tricentis qTest user interface as an expansion of our unified test management platform.

Every so often, a careful profiling analysis of your application detects the bottleneck in third-party code and there is little remedy for you to override or change that code. In this blog post I want to present a solution to fixing performance problems in third-party libraries by using the composer patches plugin. I use the the Symfony ErrorHandler as an example.

Kafka is a highly popular realtime data streaming platform, renowned for handling massive volumes of data with minimal latency. Typical use cases include handling user activity tracking, log aggregation and IoT telemetry. Kafka’s architecture, based on distributed partitions, allows it to scale horizontally across multiple brokers. But although Kafka excels at high data throughput, scaling it to manage thousands of client connections can be costly and complex.

The rise of AI has transformed how businesses operate, creating a surge in demand for AI-driven APIs, particularly those that leverage Large Language Models (LLMs). These APIs are at the heart of many modern applications, driving automation, customer interaction, and sophisticated data analysis. However, with this increased use comes a need for organizations to effectively monitor and manage the costs and consumption of these APIs.

Understanding how your APIs handle and process data drives better decision-making. Different kinds of data flow through APIs and the services that consume them. But the actual information lives inside the HTTP request and response bodies. If you can effectively leverage that data with the contextual API metrics like status codes and routes, you can better understand how your customers consume your services.