InfoQ Homepage DevOps Content on InfoQ
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Using Randomized Communication for Robust, Scalable Systems
Jon Currey examines the evolving use of randomized communication within HashiCorp’s Consul, a popular service mesh solution.
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People Are More Complex Than Computers
Mairead O'Connor presents how Equal Experts are challenging traditional ways of working and how they question the standard practices in order to try to create a better place to work.
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From Managed Hybrid Hosting to Self-Service Microsoft Azure
Andy Courtenay takes a look at migrating an existing infrastructure setup over to Microsoft Azure, the trials, the tribulations, the facepalms and the ultimate freedom to grow it delivered in the end.
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DevOps and People: Where Automation Begins!
Almudena Rodriguez Pardo takes a look at some scenarios where developers and operators go for broke in order to achieve a DevOps success story.
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What Lies between: the Challenges of Operationalizing Microservices
Colin Breck presents practical approaches to take microservices into production or increase the value provided by existing systems and also explores how to integrate microservices at scale.
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RSocket: Solving Real-World Architectural Challenges
O. Lehecka, R. Roeser and A. Shi explain the use cases for RSocket within their companies, and how it can be used by enterprises to simplify the way they build and operate cloud-native applications.
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Powering Flexible Payments in the Cloud with Kubernetes
Ana Calin covers the technical and security challenges Paybase faced and the lessons they learned as they built their cloud-native microservices architecture and integrated with traditional systems.
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Panel: Bleeding Edge at Hyperspeed with No Breaks and No Breaches
The panelists talk about the risks of continuous deployment, how to be safe and secure when releasing many times a day or how to convince regulators, auditors and customers.
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Michelangelo Palette: A Feature Engineering Platform at Uber
Amit Nene and Eric Chen discuss the infrastructure built by Uber for Michelangelo ML Platform that enables a general approach to Feature Engineering across diverse data systems.
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Instrumentation, Observability & Monitoring of Machine Learning Models
Josh Wills discusses the monitoring and visibility needs of machine learning models in order to bridge gaps between ML practitioners and DevOps.
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Quality Engineering in DevOps
Geoffrey van der Tas keynotes on testing in the DevOps world, covering practices to keep, habits to forget, new things to learn, and the need for manual testing.
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The Future of Operating Systems on RISC-V
Alex Bradbury gives an overview of the status and development of RISC-V as it relates to modern operating systems, highlighting major research strands, controversies, and opportunities to get involved
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