Cory Johns
Software Engineer at Stacklet.io
Gainesville, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolCory Johns is a seasoned software engineer with 12 years building cloud-native and infrastructure software, currently contributing at Stacklet.io after an eight-year tenure at Canonical focused on Juju and Kubernetes. He combines deep operational experience—deploying and configuring Hadoop and Spark via Puppet and Juju—with practical software engineering skills honed across startup and enterprise environments. An active open-source contributor, he’s worked on Apache Bigtop to harden big data packaging and deployment workflows. Cory’s background in mathematics and computer science underpins a methodical approach to automation, observability, and reliable service configuration. Based in Gainesville, FL, he pairs production-grade systems thinking with a hacker’s curiosity, as reflected by his ongoing Python and DevOps work.
12 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at University of Central Florida
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
big-data10
puppeteer10
spark10
hadoop10
puppet10
java9
devops9
javas9
yaml8
juju7
Programming languages (12)
Github contributions (5)
apache/bigtop
May 2016 - Oct 2016
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 commits, 9 PRs, 29 comments in 4 months
Contributions summary:Cory primarily contributed to the infrastructure and configuration aspects of the Bigtop project, focusing on Hadoop and Spark deployments. They introduced options to disable specific checks and managed configurations through Puppet modules. Their work involved modifying infrastructure setup, including Spark and Hadoop settings, integrating a Juju charm for Spark, and ensuring components correctly interact with the environment, managing aspects of both service configuration and deployment automation.
javaapachebig-databigtop
canonical/charms.reactive
Jul 2015 - Nov 2021
Framework for developing charms and relations using the reactive pattern
Contributions:17 reviews, 166 commits, 146 PRs in 6 years 5 months
relationsdevelopingreactive-programmingreactive-patternpattern
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