DAO focuses on database operations (insert, update, delete), while Repository aligns with business logic in DDD. Learn the differences with a Java example.
Automating deployment is crucial for maintaining efficiency and reducing human error. Learn how to leverage GitHub Actions to deploy a feedback portal.
Learn about the design patterns of microservice software architecture to overcome challenges like loosely coupled services, defining databases, and more.
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
Explore five actionable practices to ensure Retrospective tasks get done, including limiting action items in progress, assigning clear ownership, and more.
Choosing the right server stack ensures scalability and efficiency. Focus on automation, scaling with cloud tools, and balancing security, costs, and community support.
Create and run a microservice, with a simple prompt from your browser. Download and customize the system in your IDE with rules and Python, all open source!
Although virtual machines and containers are both highly competent virtualization tools, they offer distinct advantages that make them suitable for different scenarios.