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The white paper "Feature Flag Best Practices (By O’Reilly) - Download the eBook" is no longer available on Infoq.com; However we invite you to explore the related content below.


Additional content from our sponsors:

  • A Technical Guide to Performing APM with Open Source Technologies

    The paper discusses APM value propositions, functionalities and implementation methods. It also discusses the benefits of performing APM using open source technologies, and in specific, how to perform APM using InfluxDB open source time series platform. Register to download this paper.

  • Monitor your applications built in Java, .NET , Ruby, PHP and Node.js

    Get unmatched visibility into the way web applications behave. Visualize web transactions from end to end, with performance metrics of all components starting from URLs to SQL queries allowing you to identify and resolve performance degradation no matter where they originate.

  • GraphQL's Benefits and Costs

    GraphQL can make working with React easier, be used as an API for third-party clients, and allow for feature-rich applications to request precisely the data they need. But GraphQL isn't a panacea. Hasura CEO Tanmai Gopal guides us through the pros and cons of using GraphQL in your application.

  • Architecting for IoT: Choosing the Right Data Platform

    Data is central to any IoT implementation, most of which now have high data acquisition, high storage, and heavy data processing requirements. Based on learnings from existing IoT practitioners, this technical paper explores how to incorporate an IoT data platform into any type of architecture.

  • Feature Flag Best Practices (By O’Reilly) - Download the eBook

    With this practical book, developers will learn eight best practices for using feature flags in production, including how to configure and manage a growing set of feature flags within your product, maintain them over time, manage infrastructure migrations, and more. Download the eBook.

  • The Ultimate Application Monitoring Guide for Kubernetes

    Kubernetes was supposed to address the application resource nightmare, but it hasn’t worked out that way. There's a way to effectively manage the performance of orchestrated, containerized applications but a whole new monitoring attitude is required, and it begins with complete automation.

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