加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
Coder is an open-source platform that provisions remote development environments using Infrastructure-as-Code tools like Terraform, simplifying developer onboarding and standardizing development setups.
Coder is an open-source platform designed to enable remote development workflows by provisioning secure and standardized development environments on cloud or on-prem infrastructure using Infrastructure-as-Code principles.
Setting up consistent and reproducible development environments across different team members and projects is often time-consuming and error-prone. Onboarding new developers can take days to get their local machines ready. Resource-intensive projects may require powerful local hardware. Coder solves these issues by allowing teams to define, manage, and provision remote development environments hosted on shared infrastructure.
Define developer workspaces using familiar IaC tools like Terraform, Ansible, or Docker, ensuring consistency and reproducibility.
Integrates seamlessly with popular IDEs (VS Code, JetBrains) via remote development protocols.
Provides a centralized dashboard for managing users, workspaces, and infrastructure resources.
Automates the creation and teardown of development environments, reducing manual setup time.
Coder enables efficient and standardized remote development workflows across various scenarios:
Rapidly spin up pre-configured environments for new hires, allowing them to contribute code on day one without lengthy setup processes.
Reduces time-to-first-commit from days to minutes, significantly boosting new hire productivity and satisfaction.
Define environment configurations using code (e.g., Terraform), ensuring every developer works in an identical setup, eliminating 'it works on my machine' issues.
Improves code consistency, reduces environment-related bugs, and simplifies debugging.
Provide access to powerful, resource-intensive machines in the cloud for tasks like compiling large projects, running complex simulations, or training machine learning models.
Enables developers to work on demanding tasks without requiring expensive local hardware upgrades.
You might be interested in these projects
Beats is a collection of lightweight data shippers that send operational data from edge machines to Elasticsearch and Logstash, part of the Elastic Stack for logging, metrics, and security analytics.
Argo Rollouts is a Kubernetes controller that provides advanced deployment strategies such as Canary and Blue/Green, alongside automated promotion and rollback capabilities, enhancing deployment safety and reliability within Kubernetes environments.
Zstandard is a fast lossless compression algorithm, targeting real-time compression scenarios. It provides a very wide range of compression ratios, while typically offering faster compression and decompression speeds compared to other algorithms.