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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.

Bilgin Ibryam
on Feb 27, 2020
Architecture & Design

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.

Daniel Bryant
on Feb 18, 2020
Development

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.

Charles Humble Erik Costlow Arthur Casals Daniel Bryant Bruno Couriol Ben Linders Shane Hastie
on Dec 06, 2019
Java

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.

Diogo Carleto Thomas Qvarnstrom
on Dec 05, 2019
Cloud

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.

Srini Penchikala Marcio Esteves
on Nov 26, 2019
DevOps

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.

Tyler Treat Matt Campbell
on Nov 24, 2019
Architecture & Design

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.

Wojciech Bulaty Liam Williams
on Nov 06, 2019
Architecture & Design

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.

Wojciech Bulaty Liam Williams
on Sep 24, 2019
Architecture & Design

Cellery: A Code-First Approach to Deploy Applications on Kubernetes

Cellery is a code-first approach to building, integrating, running, and managing composite applications on Kubernetes, using a cell-based architecture. Learn what cells are, how Cellery works, and see how an existing Kubernetes application written by Google can be deployed, managed, and observed using Cellery.

Dakshitha Ratnayake
on Aug 27, 2019
DevOps

An Engineer’s Guide to a Good Night’s Sleep

Increased microservices adoption, fueled by the move to the cloud where architectures and infrastructure can flex and be ephemeral, adds complexity every day to the systems we create and maintain. This takes place alongside operating models with autonomous and totally empowered teams, so each distributed system has its own tapestry of technical approaches, languages, and services.

Nicky Wrightson
on Aug 20, 2019
Architecture & Design

Testing Microservices: an Overview of 12 Useful Techniques - Part 1

When building a microservice system, you will need to manage inter-dependent components in order to test in a cost and time effective way. You can use test doubles in your microservice tests that pretend to be real dependencies for the purpose of the test. However, there are many options for implementing this. This article provides an overview and tradeoffs of 12 techniques.

Wojciech Bulaty Liam Williams
on Aug 15, 2019
Cloud

Kubernetes Workloads in the Serverless Era: Architecture, Platforms, and Trends

Explore how microservices architecture has evolved into cloud-native architecture, where many of the infrastructure concerns are provided by Kubernetes in combination with additional abstractions provided by service mesh and serverless frameworks. In addition, the serverless ecosystem is evolving by exploring standard and open packaging, runtimes, and event formats.

Bilgin Ibryam
on Aug 12, 2019

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