Dagger provides a programmable platform for creating and executing containerized CI/CD pipelines using Go, TypeScript, or Python, enabling developers to run their workflows locally or in any CI environment. It eliminates the inefficiencies of traditional CI processes by allowing rapid iteration and reducing build times from hours to minutes through caching and reusable modules.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RWVFounders
Product
Problem
Traditional CI/CD pipelines often involve complex, unportable scripts and manual Dockerfile manipulation, leading to slow iteration cycles and inconsistent results across different environments. Developers struggle to maintain consistency between local development and CI environments, resulting in "push and pray" workflows.
Solution
Dagger provides a programmable CI/CD platform that enables developers to define and execute containerized pipelines using code rather than YAML. By leveraging a standardized set of reusable modules and caching mechanisms, Dagger accelerates build times and ensures portability across any CI environment. The platform's API-first approach allows developers to define pipelines in familiar languages like Go, TypeScript, or Python, while its modular architecture promotes code reuse and simplifies pipeline management. Dagger eliminates inconsistencies between local and CI environments, enabling faster iteration and more reliable deployments.
Target Audience
Dagger is targeted towards software developers, DevOps engineers, and platform teams who are looking to streamline their CI/CD pipelines, improve build speeds, and ensure consistency across different environments.
Features
- API-first platform for defining CI/CD pipelines using Go, TypeScript, or Python
- Standardized, reusable Dagger Modules for common CI/CD tasks
- Caching mechanisms to avoid unnecessary rebuilds and test reruns
- Portable pipelines that run consistently across local and CI environments
- Multi-language support, allowing developers to use the same language as their application code
- First-class observability features for interactive debugging and pipeline monitoring
- Ability to define desired results, with Dagger figuring out the necessary steps
- Integration with existing CI systems