InfoQ Homepage Cloud Computing Content on InfoQ
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The Past, Present, and Future of API Gateways
The edge has evolved from simple hardware load balancers to a full stack of hardware and software proxies that comprise API Gateways, content delivery networks, and load balancers. In this article, we’ll trace the evolution of the data center edge as application architecture and workflows have evolved.
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2020 State of Testing Report
The 2020 State of Testing report provides insights into the adoption of test techniques, practices, and test automation, and the challenges that testers are facing. It shares results from the 2020 testing survey organized by Joel Montvelisky from PractiTest, and Lalit Bhamare from Tea-Time with Testers.
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Edge Computing and Flow Evolution
Edge computing echoes science from the field of complex adaptive systems that explains scaling patterns. Understand this science to make better decisions about what to run "on the edge."
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Software Architecture and Design InfoQ Trends Report—April 2020
An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2020, with a focus on fundamental architectural patterns, framework usage, and design skills.
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Deploying Edge Cloud Solutions without Sacrificing Security
Security challenges exist with edge cloud solutions. Some are technical, and some relate to the way in which these services are used. This article looks at the why, what, and how of edge security.
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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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What’s Next in DevOps?
The DevOps movement continues to grow and gain influence in the IT world and the business world at large. As the organisations become increasingly digital, the agility of our IT systems becomes critical to the life and health of the companies.
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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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Article Series: Data-Driven Decision Making
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making.
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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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Data-Driven Decision Making – Product Development with Continuous Delivery Indicators
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. In Development, Continuous Delivery Indicators can be used to steer the efficiency of the development process.
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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.