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The Open Source Language Primer: Executive Summary covers the advent of Open Source Language Automation and summarizes highlights from the series: Industry Mega-Trends, Industry Insights, Value Stream Creation.
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ActiveState ran its annual developer survey again this year to better understand open source runtime pains. The resulting survey data is an invaluable tool to measure and track progress towards solving open source runtime pains that developers are experiencing.
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Decrease costs and risks of managing open source languages. This methodology for implementing Open Source Language Automation helps you understand how you can benefit from open source languages and eliminate the challenges of polyglot environments.
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This white paper addresses some of the key hurdles that crop up when adopting a new language. It provides best practices not only for developers who will face the brunt of adoption tasks, but also your DevOps team that will need to adapt their existing tools and processes.
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This year ActiveState ran a developer survey to better understand open source runtime pains and sought responses from developers around the globe.
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DevOps is under pressure to release more often. But once you’ve automated everything, what’s next? This white paper discusses how applying Machine Learning (ML) to the data you’re collecting in your DevOps process can provide insights into the way forward.
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Download our Machine Learning in Healthcare Guide, which provides practical information on how to get started in ML along with recent examples of successful solutions.
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Get our Executive Guide for everything you need to know to get started with ML. We cover everything from the benefits to your business to the build-or-buy process, to help you implement ML in your organization.
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This in-depth ebook provides practical advice for organizations looking to launch a machine-learning initiative, and explores use cases for six industries involved in AI and machine learning today.
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According to Gartner, as much as 95% of IT organizations leverage open source software (OSS). However, incorporating OSS into your project often comes with licensing terms that place obligations on how you can distribute your product.
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Java and C remain the most widely used development frameworks, but the world of software delivery has changed. Learn why Go is the key to modern enterprise application development, and how you can adopt Go to stay competitive.
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This guide explores how organizations are using Python for advanced analytics, machine learning and operationalizing results. Learn how Python compares with other languages and get an overview of Python’s data science ecosystem.
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