Callum Styan
5f3be6b288
This PR adds some metrics to help identify job enqueue rates and latencies. This work was initiated as a way to help reduce the cost of the observation/measurement itself for autostart scaletests, which impacts our ability to identify/reason about the load caused by autostart. See: https://github.com/coder/internal/issues/1209 I've extended the metrics here to account for regular user initiated builds, prebuilds, autostarts, etc. IMO there is still the question here of whether we want to include or need the `transition` label, which is only present on workspace builds. Including it does lead to an increase in cardinality, and in the case of the histogram (when not using native histograms) that's at least a few extra series for every bucket. We could remove the transition label there but keep it on the counter. Additionally, the histogram is currently observing latencies for other jobs, such as template builds/version imports, those do not have a transition type associated with them. Tested briefly in a workspace, can see metric values like the following: - `coderd_workspace_builds_enqueued_total{build_reason="autostart",provisioner_type="terraform",status="success",transition="start"} 1` - `coderd_provisioner_job_queue_wait_seconds_bucket{build_reason="autostart",job_type="workspace_build",provisioner_type="terraform",transition="start",le="0.025"} 1` --------- Signed-off-by: Callum Styan <callumstyan@gmail.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
About
Coder is a self-hosted, open source, cloud development environment that works with any cloud, IDE, OS, Git provider, and IDP.
Screenshots of Coder workspaces and connections
Coder is built on common development interfaces and infrastructure tools to make the process of provisioning and accessing remote workspaces approachable for organizations of various sizes and stages of cloud-native maturity.
IDE support
You can use:
-
Any Web IDE, such as
- code-server
- JetBrains Projector
- Jupyter
- And others
-
Your existing remote development environment:
-
A file sync such as Mutagen
Why remote development
Remote development offers several benefits for users and administrators, including:
-
Increased speed
- Server-grade cloud hardware speeds up operations in software development, from loading the IDE to compiling and building code, and running large workloads such as those for monolith or microservice applications.
-
Easier environment management
- Built-in infrastructure tools such as Terraform, nix, Docker, Dev Containers, and others make it easier to onboard developers with consistent environments.
-
Increased security
- Centralize source code and other data onto private servers or cloud services instead of local developers' machines.
- Manage users and groups with SSO and Role-based access controlled (RBAC).
-
Improved compatibility
- Remote workspaces can share infrastructure configurations with other development, staging, and production environments, reducing configuration drift.
-
Improved accessibility
- Connect to remote workspaces via browser-based IDEs or remote IDE extensions to enable developers regardless of the device they use, whether it's their main device, a lightweight laptop, Chromebook, or iPad.
Read more about why organizations and engineers are moving to remote development on our blog, the Slack engineering blog, or from OpenFaaS's Alex Ellis.
Why Coder
The key difference between Coder and other remote IDE platforms is the added layer of infrastructure control. This additional layer allows admins to:
- Simultaneously support ARM, Windows, Linux, and macOS workspaces.
- Modify pod/container specs, such as adding disks, managing network policies, or setting/updating environment variables.
- Use VM or dedicated workspaces, developing with Kernel features (no container knowledge required).
- Enable persistent workspaces, which are like local machines, but faster and hosted by a cloud service.
How much does it cost?
Coder is free and open source under GNU Affero General Public License v3.0. All developer productivity features are included in the Open Source version of Coder. A Premium license is available for enhanced support options and custom deployments.
How does Coder work
Coder workspaces are represented with Terraform, but you don't need to know Terraform to get started. We have a database of production-ready templates for use with AWS EC2, Azure, Google Cloud, Kubernetes, and more.
Providers and compute environments
Coder workspaces can be used for more than just compute. You can use Terraform to add storage buckets, secrets, sidecars, and more.
Visit the templates documentation to learn more.
What Coder is not
-
Coder is not an infrastructure as code (IaC) platform.
- Terraform is the first IaC provisioner in Coder, allowing Coder admins to define Terraform resources as Coder workspaces.
-
Coder is not a DevOps/CI platform.
- Coder workspaces can be configured to follow best practices for cloud-service-based workloads, but Coder is not responsible for how you define or deploy the software you write.
-
Coder is not an online IDE.
- Coder supports common editors, such as VS Code, vim, and JetBrains, all over HTTPS or SSH.
-
Coder is not a collaboration platform.
- You can use Git with your favorite Git platform and dedicated IDE extensions for pull requests, code reviews, and pair programming.
-
Coder is not a SaaS/fully-managed offering.
- Coder is a self-hosted solution. You must host Coder in a private data center or on a cloud service, such as AWS, Azure, or GCP.
Using Coder v1?
If you're a Coder v1 customer, view the v1 documentation or the v2 migration guide and FAQ.
Up next
- Template
- Installing Coder
- Quickstart to try Coder out for yourself.