InfoQ Homepage DevOps Content on InfoQ
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Key Takeaway Points and Lessons Learned from QCon London 2020
QCon returned to London this past March for its fourteenth year in the city, attracting over 1,600 senior developers, architects, data engineers, team leads, and CTOs. This article provides a summary of the key takeaways.
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Software Teams and Teamwork Trends Report Q1 2020
The Culture & Methods editors team present their take on the topics that are at the front of the technology adoption curve: how to make teams and teamwork more effective, in person or remote, some new tools and techniques, some ideas that have been around for a while and are starting to gain traction, the push for professionalism, ethical behavior and being socially and environmentally aware.
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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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Data-Driven Decision Making – Product Operations with Site Reliability Engineering
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 Operations, SRE’s SLIs and SLOs can be used to steer the reliability of services in production.
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Maintaining Mental health on Software Development Teams
Working on a software development team often means dealing with stress, anxiousness, and tight deadlines. Research has shown developers to have considerably higher chances of experiencing mental health issues than their counterparts, who perform mechanical tasks. Check out these nuggets of wisdom for stabilizing developers’ mental health, shared by Beetroot’s HR psychologist.
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Has an AI Cyber Attack Happened Yet?
AI cyber attacks have happened and are happening, with increasing regularity. This article looks at recent attacks, the role of bots, and defense strategies you can employ.
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Build Great Native CLI Apps in Java with Graalvm and Picocli
Compared to other choices, Java is not that convenient for creating simple command-line driven apps - largely due to the need to distribute a sizable runtime. The combination of GraalVM and Picocli aims to change that, by providing native compilation alongside an easy, modern way to handle command-line args.
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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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Functional UI - a Model-Based Approach
Functional UI techniques rely on the functional relation between events processed by the user interface and the actions performed by the interface. If the user interface has discrete modes in which its behavior can be expressed simply, a modelization with state machines is an advantageous functional UI technique. This article explains the technique, its benefits and how it is used in the industry.
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How to Avoid Cascading Failures in Distributed Systems
Cascading failures are failures that involve some kind of feedback mechanism. In distributed software systems they generally involve a feedback loop where some event causes either a reduction in capacity, an increase in latency, or a spike of errors. Laura Nolan explores them using public accounts of real production incidents.