Explore the Shift Left Architecture using data streaming (Kafka/Flink) that enables data products for DWH, data lake, and lakehouses like Snowflake/Databricks.
Get started with jOOQ, Liquibase, and Testcontainers: Create a basic Spring Boot application and integrate the aforementioned techniques including a test setup.
Explore why SLOs are indispensable in microservices architecture. We'll guide you through a step-by-step process to implement SLOs in your organization.
Explore the advancements of on-device AI and how it will revolutionize our daily interactions with technology, making our lives more efficient and connected.
Kong secures APIs and OPA handles policy decisions. This custom plugin caches user data, minimizing database checks and ensuring fast, accurate access control.
This article will help you gain a solid understanding of the lifecycle of singleton, scoped, and transient services when implementing dependency injection.
Learn how to implement polling with RxJS for efficient, repetitive API calls, and optimize performance with exponential backoff and advanced RxJS operators.
Demand is growing for robust computing. However, hyperscale data center construction faces challenges due to technology demands, shortages, and regulations.
Learn about managing AI/ML workloads in Kubernetes and follow a step-by-step tutorial for deploying a sample TensorFlow-based sentiment analysis model.
LetsEncrypt Lambda helps to manage TLS certificates. Compared to Certificate Manager it provides certs that can be used at non-only AWS services like EC2 Nginx.
Java 23 brings exciting features like implicit classes, improved ZGC, and VS Code integration. Learn what's new and how it impacts your development workflow.
Financial services are among the most attacked sectors of any industry, making it critical that developers operate at the highest level to produce secure code.
Is your test dependent on multiple other applications? Do you want to create an integration test using Testcontainers? Learn about the Docker Compose Module.
Considerations for Kubernetes observability, implementation challenges and potential solutions, and the importance of the developer experience in observability