InfoQ Homepage Architecture & Design Content on InfoQ
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The Abyss of Ignorable: a Route into Chaos Testing from Starling Bank
Greg Hawkins describes how Starling Bank introduced a chaos engineering practice, starting in 2016 with their own simple chaos daemon.
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Improving Webassembly and Its Tooling -- Q&A with Wasmtime’s Nick Fitzgerald
WebAssembly, now a web standard, aims to grow beyond the browser. Wasm runtimes are implementing proposals to achieve this vision. Fitzgerald tells us about his recent work on WebAssembly tooling and his implementation of reference types in the Wasmtime WebAssembly runtime -- a prelude to interface types and easy interoperation between Wasm and a host language.
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COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data
In this article, author Adi Pollock discusses how to enable machine learning workloads with big data to query and analyze COVID-19 tweets to understand social sentiment towards COVID-19.
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From Cloud to Cloudlets: a New Approach to Data Processing?
The growing popularity of small, distributed clouds, or “cloudlets” is an implicit recognition of the limitations of the “traditional” cloud model, and could signal a major shift in the way that data is collected, stored, and processed.
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Java InfoQ Trends Report—September 2020
This article provides a summary of how the InfoQ editorial team currently sees the adoption of technology and emerging trends within the Java space in 2020. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.
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Applying Chaos Engineering in Healthcare: Getting Started with Sensitive Workloads
Carl Chesser shares what the teams at Cerner Corporation, a healthcare information technology company, found to be effective in introducing chaos engineering with their systems.
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Kubernetes Operators in Depth
Kubernetes operators can be an attractive proposition for developers streamlining their applications, or DevOps engineers reducing system complexity. Here's how you construct an operator from scratch.
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Scalable Cloud Environment for Distributed Data Pipelines with Apache Airflow
In this article, author Lena Hall discusses how to use Apache Airflow to define and execute distributed data pipelines with an example of the workflow framework running on Kubernetes on Azure cloud platform.
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Four Case Studies for Implementing Real-Time APIs
API calls now make up 83% of all web traffic. Competitive advantage is no longer won by simply having APIs; the key to gaining ground is based on the performance and the reliability of those APIs. This article presents a series of four case studies of how real time APIs were implemented.
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Load Testing APIs and Websites with Gatling: It’s Never Too Late to Get Started
Conducting load tests against APIs and websites can both validate performance after a long stretch of development and get useful feedback from an app in order to increase its scaling capabilities and performance. Engineers should avoid creating “the cathedral” of load testing and end up with little time to improve performance overall. Write the simplest possible test and iterate from there.
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From Monolith to Event-Driven: Finding Seams in Your Future Architecture
One of the challenges of migrating your system’s architecture is excluding non-desirable attributes and leaving the target state uncorrupted. An event-driven architecture and its related patterns, CQRS and Event Sourcing, are positioned well to introduce seams into the architecture that allow you to separate legacy and modern elements.
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Principles for Microservice Design: Think IDEALS, Rather than SOLID
For object-oriented design we follow the SOLID principles. For microservice design we propose developers follow the “IDEALS”: interface segregation, deployability (is on you), event-driven, availability over consistency, loose-coupling, and single responsibility.