Release

What is Release?

Release is a cloud-native platform designed to simplify environment management by enabling instant creation of full-stack, ephemeral environments for development, testing, staging, and production. It automates infrastructure management, integrates seamlessly with existing workflows, and supports running environments in both Release's cloud and users' own cloud accounts. By removing environment bottlenecks, Release empowers teams to focus on delivering value while reducing operational overhead and costs.

Key Features

• Instant Ephemeral Environments

  Spin up isolated, full-stack environments in minutes for development, testing, demos, or staging, eliminating wait times and environment conflicts.

• Automated Infrastructure Management

  Handles Kubernetes clusters, Docker containers, and cloud resources automatically, freeing developers from manual configuration.

• Seamless Team Collaboration

  Share environments instantly across teams to improve communication, feedback cycles, and productivity.

• Cost Optimization

  Pay only for resources used with scalable infrastructure, reducing both infrastructure and personnel expenses.

• Multi-Cloud Support

  Run environments in Release’s cloud or your own AWS or GCP accounts with remote cluster management.

• Release Delivery for Enterprise

  Container-based software distribution with automated updates, version control, rollback, and remote troubleshooting.

Use Cases

• Development and Testing : Developers can create isolated environments for feature development, bug fixes, and quality assurance without impacting others.
• Sales and Customer Demos : Sales teams can spin up customized, production-capable demo environments to showcase products live to customers.
• Continuous Integration and Deployment : Automatically generate preview environments for every pull request to streamline code review and testing.
• Enterprise Software Delivery : Software vendors can deploy, update, and manage cloud-native applications across customer environments securely and efficiently.
• AI and Data Science Environments : Create reproducible, secure AI-ready environments on demand to accelerate AI development workflows.

FAQs