InfoQ Homepage Continuous Integration Content on InfoQ
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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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The State of DevOps in Banking – Report from DOES London 2018
At the 2018 DevOps Enterprise Summit in London, a number of banks presented talks that shared their experience and learning around the principles and practice of embracing DevOps: CapitalOne, Barclays, Lloyds Banking Group, Key Bank, Standard Bank, ABN Amro, UBS and RBS. Here, we summarise the key points of their talks and identify the correlations and crossovers in the messages.
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Why and How Database Changes Should Be Included in the Deployment Pipeline
Eduardo Piairo on why databases and applications should coexist in the same deployment pipeline and different scenarios and steps to achieve it.
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GitLab's CEO Sid Sijbrandij on Current Development Practices
In this all-round interview, GitLab CEO Sid Sijbrandij speaks about how GitLab was born, what differentiates it from its competitors, the importance of being an "open" company, how GitLab engineers use continuous integration, what being a remote-only company means, and much more.
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Continuous Delivery with Kubernetes the Hard Way
Automating continuous delivery with Kubernetes requires a Single-Source-Of-Truth, and that rollbacks can be implemented efficiently without requiring new code changes to be pushed.
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Q&A on Starting and Scaling DevOps in the Enterprise
The book Starting and Scaling DevOps in the Enterprise by Gary Gruver provides a DevOps based approach for continuously improving development and delivery processes in large organizations. It contains suggestions that can be used to optimize the deployment pipeline, release code frequently, and deliver to customers.