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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.

  • Continuous Delivery Coding Patterns: Latent-to-Live Code & Forward Compatible Interim Versions

    This article describes two novel practices for continuous delivery: Latent-to-live code pattern and Forward compatible interim versions. You can use these practices to simultaneously increase speed and reliability of software development and reduce risks. These practices are built on top of two other essential continuous delivery practices: trunk-based-development and feature toggles.

  • Version Control, Git, and your Enterprise

    This article is about understanding Git – both its benefits and limits – and deciding if it’s right for your enterprise. It is intended to highlight some of the key advantages and disadvantages typically experienced by enterprises and presents the key questions to be contemplated by your enterprise in determining whether Git is right for you and what you need to consider in moving to Git.

  • The Lean Machine: Bringing Agile Thinking to the Database

    For some years now, Agile practices have been attracting application developers with their promise of short iterations, fast releases, and software that gets out there sooner. Those same practices are now entering the database space, but how can database development teams adapt, and where should they start?

  • Interview with Mike McQuaid about Git in Practice

    Mike McQuaid, Software Engineer at GitHub, has written "Git in Practice" which provides over 60 techniques for working with and managing Git projects. InfoQ caught up with Mike, and asked about it, including his advice for teams considering migrating to Git and what tools to use.

  • The Definitive Guide to Database Version Control

    In the brave new world of big data and BI, the only technology constant is change. When it comes to database change, agility through automation - the ability to do more with less more rapidly to accelerate delivery – is what differentiates highly competitive, world-class enterprises from the rest of the crowd.

  • Git and GitHub LiveLesson Review and Q&A with the Author

    Git and GitHub LiveLessons, published by Addison-Wesley Professional, is a video course based on a live workshop given by Peter Bell. No previous experience with Git or other source code management tools is assumed. Here, we present the course content and finally ask a few questions to the course's author.

  • The Secrets of Database Change Deployment Automation

    Yaniv Yehuda looks at the challenges involved in automating database deployments and offer suggestions based on Agile and DevOps concepts.

  • Database Versioning and Delivery with Upgrade Scripts

    Konrad Lukasik provides practical advice on versioning and preparing a database for delivery using upgrade scripts. The article is based on experiences from enterprise environment and includes accompanying scripts and table definitions.

  • Plastic SCM – DVCS at Enterprise Level

    Building on his earlier article, “Distributed Version Control Systems in the Enterprise”, Pablo Santos discusses his company’s product: PlasticSCM. While other DVCS systems were designed for the needs of the Linux open source community, PlasticSCM addresses the problems facing enterprise software developers, especially those using .NET.

  • Lessons From A DevOps Journey

    Matt Callanan has been pushing the boundaries of Agile software development for over six years and most recently he extended that journey to DevOps. He recently shared his experiences in a talk at the Agile Development Practices West conference entitled "Lessons From A DevOps Journey". InfoQ caught up with Matt prior to the conference to find out more about his experiences in DevOps.

  • Distributed Version Control Systems in the Enterprise

    Every major Open Source project worldwide has already embraced Distributed Version Control Systems (DVCS), will enterprises be next?

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