Learn how to build generic, easily configurable, testable reactive consumers, producers, and DLT with Kotlin, Spring Boot, WebFlux, and Testcontainers.
The article discusses the need for streaming data processing and evaluates available options. It explains that one size fits all is approach is not appropriate.
Automating deployment is crucial for maintaining efficiency and reducing human error. Learn how to leverage GitHub Actions to deploy a feedback portal.
Encountering 5XX errors in Azure services? Read on to focus on how design challenges in workflows can lead to 5XX response codes and the steps to mitigate them.
Explore event-driven data mesh architecture, and how when combined with AWS, it becomes a robust solution for addressing complex data management challenges.
Recent innovations like the Model Registry, ModelCars feature, and TrustyAI are delivering manageability, speed, and accountability for AI/ML workloads
Learn how to safely encrypt and sign your Raspberry Pi filesystem and make reliably, recoverable updates easy and safe using hardware-based encryption.
Choosing the right server stack ensures scalability and efficiency. Focus on automation, scaling with cloud tools, and balancing security, costs, and community support.
AI code review tools like GitHub Copilot, CodeRabbit, and Codium AI are becoming popular — but they aren't better than human reviewers in every respect.
This interview centers around Kubernetes and Cloud Foundry, and how the future of cloud native will involve hybrid approaches that leverage both platforms.
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