InfoQ Homepage Articles
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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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Why Every DevOps Team Needs a FinOps Lead
An outstanding FinOps practice can not only save money but also lead to better customer experience and smarter product design when integrated into the infrastructure and application design process. Read about PerimeterX's FinOps journey in this practical article.
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Q&A on the Book Office Optional
The book Office Optional by Larry English describes how employees from Centric work virtually within a culture that contributes to the business’s success and employee happiness. The stories in this book provide insights into how working remotely looks, building relationships and trust in a virtual environment, managing remote teams, and recruiting and hiring people for remote working.
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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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Q&A on the Book- Problem? What Problem? with Ben Linders
Ben Linders has written a new book focused on helping teams and individuals identify and address impediments. Titled Problem? What Problem? The book presents ideas and experience around problem-solving approaches using an agile mindset and principles to help teams rapidly overcome challenges and use impediments as opportunities to learn and adapt.
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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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Q&A on the Book Fail to Learn
The book Fail to Learn by Scott Provence explores how we can learn from failure and how trainers and course designers can use gamification to foster failure and learning in their educational environments. When playing games it's ok to try out something, lose the game, learn from it, and restart and try something else.
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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.