DAO focuses on database operations (insert, update, delete), while Repository aligns with business logic in DDD. Learn the differences with a Java example.
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.
Follow an overview of methods like TCP FastOpen, TLSv1.3, 0-RTT, and HTTP/3 to reduce handshake delays and improve server response times in secure environments.
Some suggest that devs may stop coding within 2 years as AI takes over coding tasks. Is this accurate? Will GenAI force coders to abandon their careers?
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.
Here, explore various techniques for loan approvals, using models like Logistic Regression and BERT, and applying SHAP and LIME for model interpretation.
Set up a Java application with Hibernate, configure NCache as the second-level cache, and test the implementation to see how caching reduces the DB load.
Explore the strengths and limitations of symbolic and connectionist AI as well as the challenges AI faces in replicating human experience and reasoning.
Recent innovations like the Model Registry, ModelCars feature, and TrustyAI are delivering manageability, speed, and accountability for AI/ML workloads