InfoQ Homepage Automation Content on InfoQ
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How DoorDash Ensures Velocity and Reliability through Policy Automation
Lin Du discusses the details of their approach at DoorDash; how they enabled their engineers to self-serve infrastructure through policy automation while ensuring both reliability and high velocity.
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Getting Developers into F1 Driver Seats with Security?
Henry Tze discusses a platform to develop on, automation, a perimeter to safeguard the best assets, and a user-centric container foundation.2
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Cognitive Digital Twins: a New Era of Intelligent Automation
Yannis Georgas presents the building blocks of a Cognitive Digital Twin and discusses the challenges and benefits of implementing one in an organization.
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Taming Configuration Complexity Made Fun with CUE
Marcel van Lohuizen discusses configuration at scale including the design of CUE, how configuration can go wrong, the need for testing and validation, and how CUE does holistic configuration.
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On beyond Serverless: CALM Lessons and a New Stack for Programming the Cloud
Joe Hellerstein shares lessons from research on how we can deliver stateful, communicating, autoscaling cloud software, describing ongoing work in the Hydro Project at Berkeley on programmable cloud.
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Developing and Deploying ML across Teams with MLOps Automation Tool
Fabio Grätz and Thomas Wollmann discuss the MLOps Automation tool, and how it can be used to perform DevOps tasks on ML across teams.
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Testing Software Architecture
Vladik Khononov discusses testing the architecture of a system, covering what makes a good architecture, identifying a big ball of mud, an exhausted architecture, and automating such tests.
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How the Future of Software Will Be Different
Johannes Nicolai discusses what coding might look like for the next generation, what kind of programming jobs will continue to exist in five years and which tasks will be automated by robots.
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How AI Is Transforming Test Automation
Daniel Gold reviews concepts in AI and ML, how it is related to testing and what is the vision for AI in testing, how they used AI to process the DOM, and the technical challenges encountered.
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Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Yevgeniy Brikman talks about how to write automated tests for infrastructure code, including the code written for use with tools such as Terraform, Docker, Packer, and Kubernetes.
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Test Encapsulation: Automated Tests That Decide for Themselves
Rahul Verma demonstrates an engine that achieves test encapsulation. The engine would be free and open sourced so that attendees can freely experiment further.
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Automating Software Development with Deep Learning
Emil Wallner discusses the state of the art in software development automation, its current weaknesses, and areas that are ready for production.