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Kubernetes Deployments

Rapidly Onboard and Deploy Your Microservices with support for
Canary, Helm, Istio, and Kubernetes Deployments

Standardize & Templatize
Your Kubernetes Pipelines

Harness enables DevOps and developers to declare and templatize Kubernetes deployment pipelines in minutes using Wizards, YAML or GitOps.

We've saved 125 hours a week deploying hundreds of microservices with Harness Continuous Delivery.

Justin Hart
Platform Architect, iBotta

Blue/Green & Canary Deployments

Harness provides Wizards and GitOps for complex deployments like Blue/Green, Canary and Multi-Service Deployments across Kubernetes, Helm and Istio.

Blog: Blue/Green for Kubernetes

Verify Microservice Deployments

Harness uses AI/ML to automate the analysis of your APM, Cloud and Log Data so it can verify the performance, quality and impact of every deployment.

Blog: Applying AI/ML to CD

Automated Rollback

Harness version controls every microservice you deploy so customers like Build.com can roll back in 30 seconds.

With Harness, deployment time went from 10-12 hours to 30 minutes.

Kyle Flavin
Staff Software Engineer, LogMeIn


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"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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Our goal is to help you deliver applications to production safely, and reliably with effective release management tools. Fill out the form below and we’ll get back to you quickly.

"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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