Harness customers come from many different industries, but they all have one thing in common: they need continuous deployment tools to deliver applications to production at a rapid pace.

Here are their stories:

 

10X FasterDeployments

Jobvite John Stuart, Jobvite's VP of DevOps, IT and Security, said that his team has seen 10x faster deployments with the use of Harness continuous deployment tools.
The Challenge • Six week release schedule
• Release team coordinating all deployments
• Heavy manual work & custom scripts
• Difficult debugging process
• CTO-sponsored initiative to automate CD
• Focus on quality for deployments
Evaluation • Easy to install and setup
• Up and running within a few hours
• Built and deployed CD pipeline on day one
• Up and running in production quickly
• High-level requests quickly turned around
Benefits • Enable daily/hourly release cycles
• Consistent repeatable deployments
• Engineering empowered to deploy in prod
• Do complex deployments with minimal risk

“Harness is now core to everything we do. It would have taken us $500,000 to build, let alone support and maintain Harness each year."
 

1 Release EngineerNot 7

Build.com Ed Rose, Build.com's Director of Software Development, said that pre-Harness, it required 7 highly paid engineers to oversee each release. Now it only requires 1 mid-level resource.
The Challenge • Manual verification for production deployments
• 6-7 team leads involved with each release
• No ability to do enable canary deployments
• Manual rollback using scripts
• Average time to recover is 4 minutes
• CI with Jenkins largely solved, but not CD
• No verification/rollback capabilities
Evaluation • Easy to install and setup
• Built & run CD pipeline on day one
• Able to migrate all Jenkins in 8 hours
• Integrated with New Relic & Sumo Logic
• Level of support was second to none
• No rewrite of legacy CI/CD process
Benefits • Mature end-to-end CD
• Canary Deployments
• Machine Learning verification of Production Deployments
• Developers & teams can do their own deployments

“We would need $300,000 and two full-time engineers with data science backgrounds for one year just to build the verification capability, let alone the rest of Harness."