InfoQ Homepage Artifacts & Tools Content on InfoQ
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Human-centric Machine Learning Infrastructure @Netflix
Ville Tuulos discusses the tools Netflix built for the data scientists and some of the challenges and solutions made to create a paved road for machine learning models to production.
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Serverless Applications with Firebase
Kyle Paul introduces the tools available in Firebase, taking a dive into the Firebase real-time database & authentication setup, and finishing up with a multiplayer quiz (built on Firebase).
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Containers - What Are They Good For?
Jimmy Bogard takes a look at containerizing all aspects of a developer's toolkit, from local dependencies, development, build, test, and finally, production, to see where containers fit.
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Better DevEx at Netflix: Polyglot and Containers
Mike McGarr talks about the evolution of developer tooling at Netflix, focusing on command line tools they built to address evolving needs around programming languages, containers and more.
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No Microservice Is an Island
Michele Titolo talks about the basic infrastructure and tooling needs for microservices to be successful.
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Expect Teams to Perform? Then Give Them the Tools to Do So!
Gitte Klitgaard discusses the tools provided for each team involved in a project and how they were enabled to build the foundations themselves.
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How Machines Help Humans Root Case Issues @ Netflix
Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems.
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Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
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What is a Service Mesh, and Do I Need One When Developing Microservices?
Daniel Bryant introduces service mesh, what it is, when to use it, and some of the tools to employ.
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Forecasting for Beginners
Dan Brown discusses how to forecast a delivery with a spreadsheet fairly accurately, quickly and simply, and without any need for estimation of work items or user stories.
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Google Dataflow Codelab
Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.
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Effective Software Testing for Modern Software Development
Alan Richardson discusses how Testing fits into the software development process, how to customize the process, adopt new tools, increase the amount of automated execution, and mitigate risk.
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