Introducing the Metadata and Config-Driven Python Framework for Data Processing with Spark that offers a streamlined and flexible approach to processing big data.
The debate between PHP and ASP.NET is a long-standing one. Depending on the particular needs of a project, one of these two powerhouse platforms may prevail.
Managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. That's where Elasticsearch and Kibana come in.
Combining Pydantic and Elasticsearch for data management, we can create structured schemas and perform automatic data validation and enhance data consistency.
In Parts 1 and 2, you've seen how to run microservices as Quarkus local processes. Let's now look at some K8s-based deployments, starting with Minikube.
To become a skilled PHP developer, focus on mastering PHP syntax, adhering to best practices, and maintaining a commitment to continuous learning and improvement.
This article compares different request-handling approaches in Spring Boot Applications: ThreadPool, WebFlux, Coroutines, and Virtual Threads (Project Loom).
This guide introduces BLoC architecture in Flutter, a design pattern that separates business logic and presentation layers, enhancing app structure and maintainability.
Learn how Symfony Dependency Injection can simplify your application's class dependencies. Discover efficient techniques for clean and maintainable code.
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