This article teaches you how to avoid mistakes and realize the full potential of microservices. So put on your anti-pattern-fighting cape and join us on this journey.
In this article, explore Vector API, a feature that allows harnessing the power of SIMD (Single Instruction, Multiple Data) directly within Java applications.
Microservices allow teams to deploy and scale parts of their application independently. This guide outlines the process of creating a microservices-based system.
As most application releases depend on cloud infrastructure, it is crucial to have good CI/CD pipelines and end-to-end observability to ensure highly available systems.
Explore the world of logging and monitoring in a Docker Swarm environment, including best practices, tools, and strategies to keep your cluster running smoothly.
Continuing in this series examining the common pitfalls of cloud-native observability, take a look at how it's easy to get lost in the protocol jungle.
Explore the importance of logging and monitoring in GCP, various options and best practices for logging and monitoring, and popular GCP services and tools.
AI advancements in API technology involve enhancing NLP capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration.
The article introduces the AWS SNS Fanout architecture as a solution for high-speed message distribution and highlights its scalability, reliability, and cost-efficiency.
In this article, we will explore the importance of logging and monitoring in Azure, as well as various options and best practices for logging and monitoring.
Explore the importance of logging and monitoring in AWS, various options and best practices, and popular AWS services and tools that can help you achieve these goals.