InfoQ Homepage Cloud Computing Content on InfoQ
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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.
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Privacy Architecture for Data-Driven Innovation
This article lays out how you build an internal data governance architecture early in the ingestion phase, which enables you to allocate risk to data and identify such data in your systems. You can then protect the data accordingly. The second half of this article lays out various techniques to share data in a privacy-conscious manner.
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Three Key Success Factors for Improving Test Automation Outcomes
Test automation is crucial in the DevOps world and vitally important even if not taking a DevOps approach, and good test automation requires careful thought and design from the architecture onward. Tests need to be fully automated, and that automation needs to be stable; no test cases should fail for reasons other than issues in the system(s) under test.
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Kubernetes Security: The State of the Union - a Virtual Panel
InfoQ caught up with experts Scott Coulton, cloud developer advocate at Microsoft, Liz Rice, VP of open source engineering at Aqua Security, Gareth Rushgrove, director of product management at Snyk, Maya Kaczorowski, product manager for security and privacy at Google Cloud and Kirsten Newcomer, senior principal product manager at Redhat about the state of the union of Kubernetes security.
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The Open Application Model from Alibaba’s Perspective
Alibaba co-announced the Open Application Model (OAM) with Microsoft on October 17th. OAM is a specification for describing application as well as its operational capabilities so that the application definition is separated from the details of how the application is deployed and managed.
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Getting to Know Deep Java Library (DJL)
Amazon has announced DJL, an open source library to develop Deep Learning models in Java. This article details how to get started with the toolkit. The library aims to reduce number of software dependencies by enabling end-end Deep learning development in Java, rather than having to use additional technologies such as Python or R.
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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 on the Book Team Topologies
The book Team Topologies by Matthew Skelton and Manuel Pais shows how to arrange teams within an organization to enable effective software delivery. It describes four fundamental team types and three team interaction patterns, and dives into the responsibility boundaries of teams and how teams can communicate or interact with other teams.