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InfoQ Homepage Risk Management Content on InfoQ

  • DevSecOps Grows Up and Finds Itself a Community

    On June 28th, the first DevSecOps Days event came to London following a similar event in San Francisco in April. It kicked off with a welcome address from event founders, Mark Miller and John Willis, who explained that the intention is to replicate the DevOpsDays model and empower communities worldwide to stand up their own events.

  • Challenges of Moving from Projects to Products

    Carmen DeArdo, former DevOps technology director at Nationwide Insurance, and Nicole Bryan, vice-president of product management at Tasktop, recently spoke at the DevOps Enterprise Summit London on the importance of moving from a project-based to a product-based organization.

  • How Observability Impacts Testing: Q&A with Amy Phillips at QCon London

    Observability gives you a picture of the system’s current health and can replace certain types of testing. For low-risk application areas you can rely on observability instead of testing, provided you have continuous delivery that provides fast feedback and allows you to release changes quickly.

  • Q&A with Laura Bell on Continuous Security at QCon London

    Q&A with Laura Bell at QCon London. We discuss her keynote, continuous security and her own professional security journey.

  • QCon New York: Evaluating Machine Learning Models - A Case Study in Real Estate

    Opendoor, a real estate company that helps customers with buying and selling homes, uses machine learning techniques to drive pricing models. Nelson Ray, data scientist at Opendoor, spoke at QCon New York 2017 Conference about how they developed a simulation-based framework for reasoning about machine learning models to assess the risk in reselling homes.

  • Doing Safe-to-Fail Experiments

    Safe-to-fail experiments can be used in complex environments to probe, sense, and respond. You have to know what success and failure look like and need to be able to dampen or amplify the effect of probing to handle potential failures. Safe-to-fail experiments can help you to deal with risks and uncertainty, learn, and keep your options open.

  • Improving IT Performance with Continuous Delivery

    The main benefit of continuous delivery is lower-risk releases; comprehensive test automation and continuous integration are practices that have the biggest impact on IT performance. Research of continuous delivery and IT performance tells us that implementing continuous delivery practices leads to higher IT performance and high performers achieve both higher tempo and higher levels of stability.

  • Practical Tips for Automated Acceptance Tests

    Testing techniques like Equivalence Partitioning, Boundary Value Analysis, and Risk-based Testing can help you decide what to test and when to automate a test. InfoQ spoke with Adrian Bolboacă about different types of tests, writing sufficient and good acceptance tests, criteria to decide to automate a test, and how to apply test automation to create executable specifications.

  • Applying Supply Chain Management to Deliver Faster with Higher Quality

    Supply chain management can raise the bar with continuous development, argues Joshua Corman, Director of the Cyber Statecraft Initiative and co-founder of Rugged Software. Our dependence on IT and software is growing faster than our ability to secure it, and applying supply chain approaches to software development helps to address complexity which reduces risks and increases quality.

  • Building an Agile Organization Using Business Mapping

    Dan North gave a talk about business mapping at the Scaling Agile for the Enterprise 2016 congress in Brussels. InfoQ interviewed him about the problems that he sees from a business perspective when the IT part of an organization adopts agile, and asked him what business mapping is and how it can help organizations to increase their agility.

  • Meeting Regulatory Demands with Agile Software Development

    InfoQ interviewed Jan van Moll about regulatory demands for software in healthcare, satisfying these demands with waterfall project or with a mix of waterfall and agile, and introducing agile in an R&D organization that needs to fulfill regulatory demands.

  • Delivering Value on Time by Using #NoEstimates

    Vasco Duarte suggests that people should experiment with #NoEstimates to learn and find ways in which it can help them to deliver value on time and under budget. He is writing a book on #NoEstimates in which he explains why estimation does not work and how you can use #NoEstimates to manage projects.

  • Docker Security Benchmark

    Docker Inc have worked with the Center for Internet Security (CIS) to produce a benchmark document containing numerous recommendations for the security of Docker deployments. The benchmark was announced in a blog post ‘Understanding Docker Security and Best Practices’ by Diogo Mónica who was recently hired along with Nathan McCauley to lead the Docker Security team.

  • Exploring the Causes of Problems with the Analysis of Competing Hypothesis Method

    The analysis of competing hypotheses (ACH) method can be used to evaluate multiple competing hypotheses when investigating problems. The method mitigates cognitive biases that humans experience when exploring the causes of problems.

  • Is Unhedged Call Options a Better Metaphor for Bad Code?

    In a blog post on bad code and technical debt Steve Freeman described how Chris Matts came up with the metaphor of an unhedged call option for bad code. This post is being intensively discussed on Reddit and on Hacker News recently. InfoQ interviewed Steve and Chris about using metaphors for bad code and code smells, trade-offs and costs of low quality code, and responsibilities for code quality.

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