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Building Tech at Presidential Scale
Dan Woods discusses the unique challenges of building and running tech for a presidential cycle. Woods also describes how ML was applied at foundational points to reduce operating costs and some of the architectural choices made.
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Improving Speed and Stability of Software Delivery Simultaneously at Siemens Healthineers
In this article, we focus on the software delivery process at Siemens Healthineers Digital Health. The process is subject to strict regulations valid in the medical industry. We show our journey of transforming the process towards speed and stability. Both measures improved at the same time during the transformation, confirming research from the “Accelerate” book.
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Leveraging Small Teams to Scale Agility - a Red Hat Case Study
This article gives you a sneak peek into the adoption of Agile methodology at Red Hat. It shows how they have split the existing large subsystem team into smaller durable Scrum teams. Small teams scale well. They can more easily clarify dependencies and increase focus, leading to an increase in the ability to complete work, can mature faster, and can learn from a “fail fast” mentality more easily.
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The DDD Do-Over
Jimmy Bogard had a rare opportunity to do what many developers want after finishing a tough project -- a do-over. His team worked on two very similar projects, both using DDD. He discusses the lessons learned from the first project and how the team avoided common pitfalls and was more successful on their later project.
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Garage Door Openers: An Internet of Things Case Study
In this article, author discusses how to design an Internet-connected garage door opener ("IoT opener") to be secure. He talks about cloud service authentication and security improvements offered by networked openers, like two-factor authentication (2FA). He also discusses security infrastructure for IoT devices, which includes user authentication, access policy creation & enforcement.
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Embedding Reflection and Learning into Agile Software Development
In this article, authors discuss the Reflective Agile Learning Model (REALM) that embeds reflective practice into the iterative and agile software engineering development cycle. This model combines insights and results from studies of agile development practices used in real-world projects.
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The State of Practice in Model-Driven Engineering
In this article, authors discuss the practice of Model Driven Engineering (MDE) based on a survey of MDE practitioners and found that developers use MDE techniques to develop key parts of a system instead of generating whole systems.