InfoQ Homepage Microservices Content on InfoQ
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Data Gateways in the Cloud Native Era
Data Gateways act like API Gateways but focus on access to the data aspect. A Data Gateway offers abstractions, security, scaling, federation, and contract-driven development features. There are many types of Data Gateways, from the traditional data virtualization technologies, to light GraphQL translators, cloud-hosted services, connection pools, and fully open source alternatives.
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Is Edge Computing a Thing?
Edge Computing is definitely a thing, but the computing need not occur at the edge. Instead what is needed is an ability to compute (anywhere) on streaming data from large numbers of dynamically changing devices, in the edge environment. This in turn demands an architectural pattern for stateful, distributed computing.
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Graph Knowledge Base for Stateful Cloud-Native Applications
The lack of support for stateful cloud-native application behavior is a roadblock to many cloud use-cases. This article looks at graph knowledge-based systems which offer one approach to the design of next-generation platforms.
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Spring Boot Tutorial: Building Microservices Deployed to Google Cloud
In this tutorial, the reader will get a chance to create a small Spring Boot application, containerize it and deploy it to Google Kubernetes Engine using Skaffold and the Cloud Code IntelliJ plugin.
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Multi-Runtime Microservices Architecture
Best practices have emerged around “microservice” architecture and “12-factor app” design. As cloud, containers, and container orchestrators (.g. Kubernetes) have become popular, new solutions to address common integration principles have emerged. This article discusses the approach of using "mecha" components to provide enterprise integration pattern functionality for microservices.
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Service Mesh Ultimate Guide 2020: Managing Service-to-Service Communications
This online guide aims to answer pertinent questions for software architects and technical leaders, such as: what is a service mesh? Do I need a service mesh? How do I evaluate the different service mesh offerings? In software architecture, a service mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices, often using a sidecar proxy.
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InfoQ's 2019, and Software Predictions for 2020
We take a look back at what we saw on InfoQ in 2019, and think about what the next year might bring.
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Quarkus, a Kubernetes Native Java Framework, Reaches Version 1.0: Q&A with Thomas Qvarnstrom
Quarkus, a Kubernetes native Java framework tailored for GraalVM and OpenJDK HotSpot, has reached version 1.0. Quarkus is an Open Source stack for writing Java applications, offering unparalleled startup time, memory footprint and developer experience. InfoQ spoke with Thomas Qvarnstrom, senior principal product manager at Red Hat, in order to learn about the Quarkus journey, extensions, and more.
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Adoption of Cloud-Native Architecture, Part 1: Architecture Evolution and Maturity
In this article, authors Srini Penchikala and Marcio Esteves discuss what organizations should assess when adopting cloud native architectures for hosting their applications on cloud. It focuses on architecture hosting models. They also discuss how architecture patterns like microservices, containers, serverless, and service mesh can help with organizational adoption of cloud native solutions.
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Q&A with Tyler Treat on Microservice Observability
Tyler Treat attempts to disambiguate the concepts of Observability and Monitoring. He discusses how the complexity of elastic systems produces more unknowns that require a discovery-based approach. InfoQ recently sat down with Treat to discuss the topics of observability and monitoring, and he shares some challenges and best practices when introducing observability concepts.
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Testing Microservices: Six Case Studies with a Combination of Testing Techniques - Part 3
This article presents six real world use cases of testing microservice-based applications, and demonstrates how a combination of testing techniques can be evaluated, chosen, and implemented.
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Testing Microservices: Examining the Tradeoffs of Twelve Techniques - Part 2
A successful microservice testing strategy must effectively manage the interdependent components involved. This article presents the tradeoffs for twelve testing techniques. Each approach has advantages and disadvantages. Which technique, or blend of techniques, should be used for your application, depends on your context.