InfoQ Homepage DevOps Content on InfoQ
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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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A Journey into Intel’s SGX
Jessie Frazelle discusses Intel's SGX technology. Frazelle also covers an overview of computer architecture, detailing one hardware version, its flaws and changes to come in a future version.
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Panel: Secure Isolation of Applications
Applications have been isolated by lots of different means and new methods are appearing. What is secure? Have Spectre and Meltdown changed the landscape? What should be used?
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Docker Data Science Pipeline
Lennard Cornelis explains why they chose OpenShift and Docker to connect to the Hadoop environment, also how to set up a Docker container running a data science model using Hive, Python, and Spark.
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