Systems | Development | Analytics | API | Testing

Kafka best practices: Monitoring and optimizing the performance of Kafka applications

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.

Accelerating IT to the Speed of Business

Businesses today adapt to change with breathtaking speed. Lines of business now follow their products out the door digitally and continue tracking usage throughout the lifecycle. This gives companies valuable insights into how customers use and interact with their products, enabling them to analyze and evolve solutions while nurturing customer relationships.

How SightX Uses ClearML to Build AI Drone Models

With the rise of drone usage, it’s easier to take aerial footage than ever before. The resulting data can trigger quick, effective action; removing guesswork and increasing aerial awareness, which can have profound implications on growing profits and trimming expenses. And as drone use rises, so does the usage of AI, to navigate, detect, identify, and track meaningful artifacts and objects.

How to deploy game updates with Unity Cloud Content Delivery and Codemagic

TL;DR: The Unity Cloud Content Delivery tool is a solution that helps deliver data to users in a synchronized way, which speeds up patching and enables live game updates. You can set up a project in Unity’s CCD cloud to deliver your game’s assets to customers’ devices. Additionally, you can integrate CCD with a CI/CD service to ensure consistent delivery of all parts of the updated app and to automate deployment, reducing the amount of manual work.

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Using Open Source for API Observability

API Observability isn't exactly new, however it's popularity has seen rapid growth in the past few years in terms of popularity. API Observability using open source is different from regular API monitoring, as it allows you to get deeper and extract more valuable insights. Although it takes a bit more effort to set up, once you've got an observability infrastructure running it can be immensely helpful not only in catching errors and making debugging easier, but also in finding areas that can be optimized.