Interrupt testing ensures your mobile app stays rock-solid during real-world chaos like calls or network changes, helping you earn raving 5-star ratings.
Testing MFA flows is challenging due to device dependencies and automation limits. Learn strategies to streamline testing without compromising security and efficiency.
Learn how AI-generated code impacts maintainability, productivity, and quality. Explore code reviewing, testing strategies, and best practices for long-term success.
A quick guide on how Microprofile developers can leverage the power of CDI and Microprofile features on their Langchain4J AI Services in their enterprise applications.
Telemetry in Kubernetes provides data-driven insights into cluster health and performance, ensuring scalability, and reliability through metrics, logs, and traces.
Learn how to implement chaos engineering using Chaos Toolkit and Chaos Monkey for Java (Spring Boot), Node.js, Kubernetes, and Istio to enhance system resilience.
In this article, learn how to build a simple Java application using Spring AI and Amazon Bedrock to generate and compare text embeddings with Cohere’s Embed Multilingual v3 model.
Learn how to include payloads directly within an Ansible EDA rulebook, as well as how to read payloads from an external file to use that data in rule conditions.
This article introduces Identity Bridge, a novel framework to facilitate single sign-on (SSO) between a native mobile application and web applications.
This tutorial demonstrates setting up OpenTelemetry with Spring Boot for observability, including metrics, traces, and logs, using tools like Grafana, Loki, and Tempo.
Poor data quality costs enterprises $406M annually. Learn in this article some key challenges and best practices for ensuring data quality in AI systems.