InfoQ Homepage Continuous Integration Content on InfoQ
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Mobile DevSecOps Is the Road to Mobile Security
In this article, I’ll discuss some of the most common security deficiencies in mobile apps and explain the potential risks to consumers, app developers, and brands, as well how to break the cycle of poor app security, using automated, rapid, continuous, and iterative deployment.
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Why DevOps Culture Matters: Leaders Talk About the Keys to Making Change Successful and Sustainable
A recent Software Delivery Leadership Forum panel discussion shared approaches and tactics for creating a successful DevOps culture. The panel stressed the importance of an aligned culture around the DevOps adoption. This includes setting strategic organizational goals, cultivating psychological safety, and treating your culture as a product.
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The Evolution of Distributed Systems on Kubernetes
At QCon in March, Bilgin Ibryam, product manager at Red Hat, gave a talk on the evolution of distributed systems with Kubernetes. You might have an answer to that, and Ibryam has one too. At the end of the article, you will find out what he thinks the answer will be.
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Cloud-Native Is about Culture, Not Containers
At QCon London last year, Holly Cummins, innovation leader in IBM Corporate Strategy, provided a session titled: Cloud-Native is about Culture, not Containers. In this article, Cummins will discuss the role of culture in cloud-native architecture. Furthermore, she will dive into various topics around cloud-native ranging from its definition to CI/CD and operations.
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Cheesemake: a Declarative Build Tool for C Programs
This article will describe how I came to spend some of the last few months writing a build tool for C programs. Along the way, I'll also try and say something about getting a software project off the ground, how to tackle technical problems that arise, and some of the steps on the path to working software.
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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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Q&A on the Book Agile Machine Learning
The book Agile Machine Learning by Eric Carter and Matthew Hurst describes how the guiding principles of the Agile Manifesto have been used by machine learning teams in data projects. It explores how to apply agile practices for dealing with the unknowns of data and inferencing systems, using metrics as the customer.
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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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DevOps and Cloud InfoQ Trends Report - February 2019
An overview of how the “cloud computing” and DevOps space is evolving in 2019 including updates on Kubernetes, Chaos Engineering, Service meshes and more.
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Automating Your Java Project Workflow with a Modified Gitflow Branching Model
Gitflow is a collaborative branching model that attempts to exploit the power, speed and simplicity of Git branching. But documentation for Gitflow in an automated build, integrate, and deploy environment is sparse. This article provides a flavor of Gitflow that can be used in an automated build environment.
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What Machine Learning Can Learn from DevOps
The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services.
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How to Source Control Your Databases for DevOps
A robust DevOps environment requires having continuous integration for every component of the system. But far too often, the database is omitted from the equation. In this article, we discuss the unique aspects of databases, both relational and NoSQL, in a successful continuous integration environment.
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Q&A moderated by InfoQ
Using Reinforcement Learning To Beat Go Masters and Write Java Unit Tests
In this webinar we'll look at how reinforcement learning's probabilistic search finds winning solutions and how this can also be applied to writing code. Learn how unit regression tests differ from typical unit tests and how they're used during development and in continuous integration pipelines.