This article series addresses commonly asked questions, best practices, practical examples, and info on how to get started with event-driven architectures.
In Oracle, the AUTHID clause is a powerful option to manage DB security and access control. Explore its different settings and how to use it effectively.
Market disruptors pave the way for innovation and break barriers once considered bulletproof. PuppyGraph uses market disruption and graph data to detect fraud.
Explore essential strategies for securing cloud environments, focusing on IAM, encryption, automation, and proactive monitoring to mitigate cyber threats.
Learn more about tokenization and embeddings, which play a vital role in understanding human queries and converting knowledge bases to generate responses.
Learn how to build generic, easily configurable, testable reactive consumers, producers, and DLT with Kotlin, Spring Boot, WebFlux, and Testcontainers.
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.