Harness is a technology company that offers a platform for continuous delivery as a service. Their products aim to streamline and automate the software release process, enabling organizations to deliver software faster and more reliably.
Incorporated in 2016
Founded by Jyoti Bansal, the former CEO and co-founder of AppDynamics
Received $20 million in Series A funding in 2017
Launched the first version of Harness in 2018
Secured $60 million in Series B funding in 2019
Expanded their platform to include machine learning-based predictive analytics in 2020
Jenkins is an open-source automation server that helps automate different stages of the software development process.
CircleCI provides a continuous integration and delivery platform that allows developers to automate the process of packaging, testing, and deploying applications.
Travis CI is another popular continuous integration and delivery platform that offers a cloud-based solution for building, testing, and deploying applications.
A platform that automates and simplifies the entire software release process, including testing, packaging, and deployment.
A product that uses machine learning algorithms to automatically validate the quality and performance of software releases.
A feature that helps optimize cloud spend by identifying cost-saving opportunities and providing detailed insights into resource usage.
Harness is a technology company that provides a platform for continuous delivery as a service, helping organizations automate and streamline their software release process.
Harness was founded by Jyoti Bansal, the former CEO and co-founder of AppDynamics.
Harness offers a Continuous Delivery as a Service platform, Continuous Verification using machine learning algorithms, and Continuous Efficiency for cloud cost optimization.
Some of the competitors of Harness include Jenkins, CircleCI, and Travis CI.
Harness Continuous Verification leverages machine learning algorithms to automatically validate the quality and performance of software releases by analyzing historical data and predicting potential issues.