InfoQ Homepage Cloud Computing Content on InfoQ
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Operational Considerations for Containers
Chris Swan discusses how to deal with container operational considerations regarding image management, security, audit, logging, orchestration, and how that relates back to developer experience.
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Serverless Architectures
Mike Roberts introduces serverless, discussing the benefits and limitations of such an architecture, concluding with how he expects serverless to develop over the coming months and years.
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Serverless Platform: Scientific Computation @Scale
Diptanu Choudhury talks about the platform they are developing at NASA for running computations as functions which would make it easier for researchers to program their applications & algorithms.
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What Does Speed Mean in Software Product Delivery?
Jason Yip explores the way of thinking about "high velocity" and gives specific examples of concepts and practices to try from his experiences at ThoughtWorks and Spotify.
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More Reliable Delivery with Monte Carlo & Mapping
Conal Scanlon talks about how to use Monte Carlo simulations to remove the guesswork from planning, story mapping to discover the story up front, and reviews an example of how to automate a forecast.
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Serverless Security and Things That Go Bump in the Night
Erik Peterson discusses Serverless architectures and what they mean for the future of cloud applications. Peterson also explores how existing security challenges change and new ones emerge.
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Distributed Scheduler Hell
Matthew Campbell offers tips and tricks choosing between different container schedulers -Mesos, Kubernetes, Docker Swarm, Nomad, manual - for different applications/microservices.
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Managing Thousands of Data Services @Heroku
Gabriel Enslein discusses the evolution of fleet orchestration, immutable infrastructure, security auditing for managing data services for many Salesforce customers.
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Presidential Campaigns & Immutable Infrastructure
Michael Fisher explores how Hillary’s campaign systematically approached every design decision to stay true to immutable principles, leveraging AWS infrastructure along with open source technology.
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The Paved PaaS to Microservices at Netflix
Yunong Xiao discusses how Netflix standardizes common functionality like service discovery, configuration, metrics, logging, and RPC, across services.
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Serverless Design Patterns with AWS Lambda: Big Data with Little Effort
Tim Wagner discusses Big Data on serverless, showing working examples and how to set up a CI/CD pipeline, demonstrating AWS Lambda with the Serverless Application Model (SAM).
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A Series of Unfortunate Container Events @Netflix
Amit Joshi and Andrew Spyker talk about Project Titus, Netflix's container runtime on top of Amazon EC2.
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