ActiveState surveyed Python users on how they've been preparing for Python 2 End of Life. Find out how your plans stack up, and which pitfalls to avoid.
In part four of the Open Source Language Automation Primer, ActiveState shares the three pillars for organizations to measure and build the value of their open source languages.
In part three of the Open Source Language Automation Primer, ActiveState is sharing its five insights which provide opportunity for building value from open source languages.
In part two of the Open Source Language Automation Primer, ActiveState shares the eight key industry mega-trends it has observed in the advent of Open Source Language Automation.
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.
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.
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.
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.
