InfoQ Homepage Architecture Content on InfoQ
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Amplifying Sources of Resilience: What Research Says
John Allspaw talks about applying Resilience Engineering thinking & paradigms to the world of software engineering and outlines productive avenues to locate, amplify, support, and build this capacity.
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An Engineer's Guide to a Good Night's Sleep
Nicky Wrightson gives some practical insight into how to handle failure in today's more complex distributed microservice systems.
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Unique Resiliency of the Erlang VM, the BEAM and Erlang OTP
Irina Guberman demonstrates how unique features of the BEAM in combination with Erlang OTP can take a company's servers to the next level of resiliency and robustness.
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Speed the Right Way: Design and Security in Agile
Kevin Gilpin discusses the renewed focus of the software design process and code complexity in software security, describing how design review can be modernized to help improve application security.
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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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Scaling Deep Learning to Petaflops and beyond!
Prabhat explores 2D and 3D convolutional architectures for solving pattern classification, regression and segmentation problems in high-energy physics, cosmology and climate science.
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Learning from Chaos: Architecting for Resilience
Russ Miles, CEO of ChaosIQ.io, shares how leading organizations are successfully adopting chaos engineering to encourage a mindset of "architecting for resilience".
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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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Reactive Systems Architecture
Jan Machacek and Matthew Squire give us the answer to the click-baity headline “Four things that make the biggest impact in distributed systems”, together with architectural and code examples.
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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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Ludwig: A Code-Free Deep Learning Toolbox
Piero Molino introduces Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code.
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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.
