815de49e23 feat: make the service log retention period an instance setting (#10889)
* feat: make the service log retention period an instance setting

Service log retention was a hardcoded 14 days with no override, unlike job retention. It
becomes the `service_log_retention_secs` global setting (env `SERVICE_LOG_RETENTION_SECS`,
default unchanged at 14 days), reloaded on change like the other retention settings.

The constant becomes `DEFAULT_SERVICE_LOG_RETENTION_SECS` and every reader goes through
`service_log_retention_secs()`, so the `log_file` sweep, the object-storage orphan scan, the
columnar store's compaction and pruning, the retrieval clamp and the search index's trim
window all follow the configured value.

Loaded outside `initial_load`'s `server_mode` guard: a dedicated indexer trims the search
index to a window derived from this value and is not a server.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: never let a non-positive service log retention expire every log

Every service log cutoff is `now - retention`, so a `0` or negative window puts the cutoff
at or after `now` and the next sweep reads the whole history as expired — deleting the
`log_file` rows and their object-storage files irreversibly.

`0` is reachable two ways now that the window is configurable: it is what an operator types
by analogy with the job retention period sitting directly above it, where `0` does mean keep
forever; and `SecondsInput` writes a `0` into a field that was merely focused, so saving the
Jobs panel is enough. Service logs always have a window, so clamp an unusable value back to
the default in the accessor every reader already goes through. The upper bound is where
`chrono::Duration::seconds` panics, which would abort the sweep that reads it.

The settings field rejects a non-positive value rather than silently correcting it, and its
description now names the database rows too — they are swept on every instance, including
one with no object storage configured.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: address review findings on the service log retention setting

- Bound the monitor's `log_file` sweep. Every process rotates a log file a minute, so lowering
  the retention can make one ordinary setting change expire millions of rows; the unbounded
  `DELETE ... RETURNING` materialized all of them, and their deletion futures, in a single
  tick. Batched like the settings-page cleanup on the same table.
- Make the retention atomic private and give it one writer, so a value that would expire every
  service log cannot reach a cutoff by any path, and say so in the log when one is rejected
  rather than falling back silently.
- Cap the retention at a century. The previous ceiling only bounded `TimeDelta` construction,
  while consumers compute `now - retention`, which panics past year 262143, and build a
  Postgres interval that overflows well before the old cap.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: cap an oversized service log retention instead of shortening it

The two unusable directions were landing on the same fallback, so configuring a retention
above the ceiling silently produced 14 days — deleting logs the operator had asked to keep
for longer. Too large now caps at the maximum, which preserves that intent; only a
non-positive value, which would expire everything and has no upward reading, falls back to
the default.

Also bound the `log_file` drain to ten batches per pass: `monitor_db` runs under a 600s
timeout that cancels every maintenance future in the same `join!` and reports a critical
error, so a backlog large enough to need batching has to drain across ticks, the way the
neighbouring sweeps already do. The settings field carries the upper bound too, and the
superseded query's offline entry is dropped.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: route the new log-file registration cutoff through the retention accessor

`send_log_files_to_object_store` arrived on main while this branch was open and reads the
retention directly. The atomic behind it is private now, so it goes through the accessor like
every other consumer — which also means the cutoff it uses to skip registering already-expired
files follows the configured retention rather than a fixed two weeks.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: say why every mode loads the service log retention setting

A worker registers its rotated log files against the retention cutoff, so the comment naming
only the indexer no longer covers why the setting sits outside the `server_mode` guard.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: file service log retention under Monitoring, not Jobs

Service logs are the Windmill processes' own logs — every process rotates and registers its
own, no job involved — so the Jobs panel was grouping by the shape of the widget rather than
by the subject. It sits under Monitoring now, beside the Indexer panel that holds the other
service-log window.

Its own section rather than inside that panel: the panel is badged EE, while this governs the
database sweep that runs on every instance.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* chore: update ee-repo-ref to a6e3533b26195918a17fea58646f71d2bbcde288

This commit updates the EE repository reference after PR #752 was merged in windmill-ee-private.

Previous ee-repo-ref: 1d93da24bd166b9a5a5cc204034a1d35ffc88474

New ee-repo-ref: a6e3533b26195918a17fea58646f71d2bbcde288

Automated by sync-ee-ref workflow.

* feat: say on the service logs page where the logs actually are

The retention number alone does not tell an operator what it governs, and the answer differs
by instance. Two states are worth calling out because they are the ones where retention does
not mean what it looks like:

Without instance object storage, each process keeps its files on its own disk. The page lists
what every host wrote, since the rows are in the shared database, but can only open the files
of the replica serving the request, and a host's files go with it when it is replaced.

With object storage but "Delete logs from s3 periodically" off — the backend default, since
uploads are gated on a store existing while deletions are gated on that toggle — expiring a
log removes the row and the local file and leaves the uploaded copy behind for good.

The retention field itself now names every copy it covers and says that full-text search
reaches back at most that far, and less when the indexer's own window is shorter.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* fix: describe raw log files as the transient copy they became

Retiring the raw files landed while this was being written: the indexer now deletes each one
as soon as it is ingested, and the log viewer rebuilds a file from the columnar store once the
raw copy is gone. So the durable copy is the store, and warning that an uploaded file is kept
forever when periodic s3 deletion is off only holds where no indexer runs to ingest it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

* chore: point ee-repo-ref at the EE compile fix

EE main does not build on its own: extracting the index-window expression and adding a fourth
copy of it landed in separate PRs that never conflicted textually. windmill-ee-private#756 is
the one-line fix; this pins it so CI has a tree that compiles.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WsnpNSM6K3oyjwntRwJtVN

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
2026-08-29 19:39:14 +02:00
2024-02-08 16:09:11 +01:00
2026-08-28 17:26:18 +02:00
2026-02-03 17:50:56 +00:00
2026-08-28 17:26:18 +02:00
2023-08-26 09:17:07 +02:00
2026-08-19 14:18:37 +00:00
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windmill.dev

Open-source developer platform for internal code: APIs, background jobs, workflows and UIs. Self-hostable alternative to Retool, Pipedream, Superblocks and a simplified Temporal with autogenerated UIs and custom UIs to trigger workflows and scripts as internal apps.

Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code. Supported languages: Python, TypeScript, Go, Bash, SQL, GraphQL, PowerShell, Rust, and more.

Package version Docker Image CI Package version

Commit activity Discord Shield

Try it - Website - Docs - Discord - Hub - Contributing

Windmill - Developer platform for APIs, background jobs, workflows and UIs

Windmill is fully open-sourced (AGPLv3) and Windmill Labs offers dedicated instances and commercial support and licenses.

Windmill Diagram

https://github.com/user-attachments/assets/d80de1d9-64de-4d89-aacd-6df23fa81fc4

Main Concepts

  1. Define a minimal and generic script in Python, TypeScript, Go or Bash that solves a specific task. The code can be defined in the provided Web IDE or synchronized with your own GitHub repo (e.g. through VS Code extension): provided Web IDE or synchronized with your own GitHub repo (e.g. through VS Code extension):

Step 1

  1. Your scripts parameters are automatically parsed and generate a frontend.

Step 2

Step 3

  1. Make it flow! You can chain your scripts or scripts made by the community shared on WindmillHub.

Step 3

  1. Build complex UIs on top of your scripts and flows.

Step 4

Scripts and flows can be triggered by schedules, webhooks, HTTP routes, Kafka, WebSockets, emails, and more.

Build your entire infra on top of Windmill!

Show me some actual script code

//import any dependency  from npm
import * as wmill from "windmill-client";
import * as cowsay from "cowsay@1.5.0";

// fill the type, or use the +Resource type to get a type-safe reference to a resource
type Postgresql = {
  host: string;
  port: number;
  user: string;
  dbname: string;
  sslmode: string;
  password: string;
};

export async function main(
  a: number,
  b: "my" | "enum",
  c: Postgresql,
  d = "inferred type string from default arg",
  e = { nested: "object" }
  //f: wmill.Base64
) {
  const email = process.env["WM_EMAIL"];
  // variables are permissioned and by path
  let variable = await wmill.getVariable("f/company-folder/my_secret");
  const lastTimeRun = await wmill.getState();
  // logs are printed and always inspectable
  console.log(cowsay.say({ text: "hello " + email + " " + lastTimeRun }));
  await wmill.setState(Date.now());

  // return is serialized as JSON
  return { foo: d, variable };
}

Local Development

Windmill supports multiple ways to develop locally and sync with your instance:

Tool Description
CLI Sync scripts from local files or GitHub, run scripts/flows from the command line
VS Code Extension Edit and test scripts & flows directly from VS Code / Cursor with full IDE support
Git Sync Two-way sync between Windmill and your Git repository
Claude Code AI-assisted development with Claude for scripts, flows, and apps

https://github.com/user-attachments/assets/c541c326-e9ae-4602-a09a-1989aaded1e9

You can run scripts locally by passing the right environment variables for the wmill client library to fetch resources and variables from your instance. See local development docs.

Stack

  • Database: Postgres (compatible with Aurora, Cloud SQL, Neon, Azure PostgreSQL)
  • Backend: Rust - stateless API servers and workers pulling jobs from a Postgres queue
  • Frontend: Svelte 5
  • Sandboxing: nsjail and PID namespace isolation
  • Runtimes:
    • TypeScript/JavaScript: Bun (default) and Deno
    • Python: python3 with uv for dependency management
    • Go, Bash, PowerShell, PHP, Rust, C#, Java, Ansible

Fastest Self-Hostable Workflow Engine

We have compared Windmill to other self-hostable workflow engines (Airflow, Prefect & Temporal) and Windmill is the most performant solution for both benchmarks: one flow composed of 40 lightweight tasks & one flow composed of 10 long-running tasks.

All methodology & results on our Benchmarks page.

Fastest workflow engine

Security

  • Sandboxing: nsjail for filesystem/resource isolation, and PID namespace isolation (enabled by default) to prevent jobs from accessing worker process memory
  • Secrets: One encryption key per workspace for credentials stored in Windmill's K/V store. We recommend encrypting the Postgres database as well.

See Security documentation for details.

Performance

Once a job started, there is no overhead compared to running the same script on the node with its corresponding runner (Deno/Go/Python/Bash). The added latency from a job being pulled from the queue, started, and then having its result sent back to the database is ~50ms. A typical lightweight deno job will take around 100ms total.

Architecture

How to self-host

For detailed setup options, see Self-Host documentation.

Docker compose

Deploy Windmill with 3 files (docker-compose.yml, Caddyfile, .env):

curl https://raw.githubusercontent.com/windmill-labs/windmill/main/docker-compose.yml -o docker-compose.yml
curl https://raw.githubusercontent.com/windmill-labs/windmill/main/Caddyfile -o Caddyfile
curl https://raw.githubusercontent.com/windmill-labs/windmill/main/.env -o .env

docker compose up -d

Go to http://localhost - default credentials: admin@windmill.dev / changeme

Using an external database: Set DATABASE_URL in .env to point to your managed Postgres (AWS RDS, GCP Cloud SQL, Azure, Neon, etc.) and set db replicas to 0.

Kubernetes (Helm charts)

helm repo add windmill https://windmill-labs.github.io/windmill-helm-charts/
helm install windmill-chart windmill/windmill --namespace=windmill --create-namespace

See windmill-helm-charts for configuration options.

Cloud providers

Windmill works on AWS (EKS/ECS), GCP, Azure, Ubicloud, Fly.io, Render.com, Hetzner, Digital Ocean, and others. Rule of thumb: 1 worker per 1vCPU and 1-2 GB RAM.

OAuth, SSO & SMTP

Configure OAuth and SSO (Google Workspace, Microsoft/Azure, Okta) directly from the superadmin UI. See documentation.

License

The Community Edition is free to use internally. For commercial redistribution or managed services, contact sales@windmill.dev. See LICENSE and Pricing for details.

The "Community Edition" of Windmill available in the docker images hosted under ghcr.io/windmill-labs/windmill and the github binary releases contains the files under the AGPLv3 and Apache 2 sources but also includes proprietary and non-public code and features which are not open source and under the following terms: Windmill Labs, Inc. grants a right to use all the features of the "Community Edition" for free without restrictions other than the limits and quotas set in the software and a right to distribute the community edition as is but not to sell, resell, serve Windmill as a managed service, modify or wrap under any form without an explicit agreement.

The binary compilable from source code in this repository without the "enterprise" feature flag is open-source under the LICENSE-AGPLv3 License terms and conditions.

To re-expose directly any Windmill parts to your users as a feature of your product, with the exception of iframed public Windmill "apps", or to build a feature on top of "Windmill Community Edition" that you sell commercially or embed in a distributable product or binary, you must get a commercial license. Contact us at sales@windmill.dev if you have any questions. To do the same from the binary compiled from the source code in this repository without the "enterprise" feature flag, you must comply with the AGPLv3 license terms and conditions or get a commercial license from Windmill Labs, Inc.

To use Windmill "Community Edition" as is internally in your organization, or to use its APIs as is, you do NOT need a commercial license.

Integrations

In Windmill, integrations are referred to as resources and resource types. Each Resource has a Resource Type that defines the schema that the resource needs to implement.

On self-hosted instances, you might want to import all the approved resource types from WindmillHub. A setup script will prompt you to have it being synced automatically everyday.

Environment Variables

Environment Variable name Default Description Api Server/Worker/All
DATABASE_URL The Postgres database url. All
WORKER_GROUP default The worker group the worker belongs to and get its configuration pulled from Worker
MODE standalone The mode if the binary. Possible values: standalone, worker, server, agent All
METRICS_ADDR None (ee only) The socket addr at which to expose Prometheus metrics at the /metrics path. Set to "true" to expose it on port 8001 All
JSON_FMT false Output the logs in json format instead of logfmt All
BASE_URL http://localhost:8000 The base url that is exposed publicly to access your instance. Is overriden by the instance settings if any. Server
ZOMBIE_JOB_TIMEOUT 30 The timeout after which a job is considered to be zombie if the worker did not send pings about processing the job (every server check for zombie jobs every 30s) Server
RESTART_ZOMBIE_JOBS true If true then a zombie job is restarted (in-place with the same uuid and some logs), if false the zombie job is failed Server
NATIVE_MODE false Enable native mode: sets NUM_WORKERS=8, rejects non-native jobs (nativets, postgresql, mysql, etc.) Worker
SLEEP_QUEUE 50 The number of ms to sleep in between the last check for new jobs in the DB. It is multiplied by NUM_WORKERS such that in average, for one worker instance, there is one pull every SLEEP_QUEUE ms. Worker
KEEP_JOB_DIR false Keep the job directory after the job is done. Useful for debugging. Worker
EXIT_AFTER_N_JOBS None Exit the worker process after it has executed that many jobs, so that a supervisor restarts it and no process runs more than that many, bar the steps of a same-worker flow it has started, which it always finishes (set it to 1 for a process per job; jobs handed to a dedicated worker, and the worker's own init and periodic scripts, do not count). Not counting the init and periodic scripts means they run again on every restart: an init script's runtime is added to the latency of every batch of that many jobs, and a periodic script fires once per process start whatever its interval says. The worker's shell in the workers page also starts backed off rather than after the two minutes it otherwise takes, since a process due to be recycled cannot count on living that long: the first command of a session can wait up to 15s, later ones are immediate. For deployments that isolate executions by process lifetime rather than with nsjail; note that a container restart resets the process, not the container filesystem, so caches and /tmp survive it. The worker name is then derived from the hostname instead of being random, so the restarted worker keeps its row in the workers list (an agent worker keeps the row but restarts its job count). Use one worker per process: workers of one process share its environment, so the first to reach the limit shuts the others down too. Worker
WORKER_SUFFIX None Pins the last part of the worker name, which is otherwise random, so that a restarted worker keeps its row in the workers list. Only needed when several worker processes of the same worker group run on one host, since the name is derived from the hostname: give each of them a distinct value, as two processes sharing one must never happen. At most 64 letters, digits and underscores; anything else is refused at startup. Worker
LICENSE_KEY (EE only) None License key checked at startup for the Enterprise Edition of Windmill Worker
SLACK_SIGNING_SECRET None The signing secret of your Slack app. See Slack documentation Server
COOKIE_DOMAIN None The domain of the cookie. If not set, the cookie will be set by the browser based on the full origin Server
DENO_PATH /usr/bin/deno The path to the deno binary. Worker
PYTHON_PATH The path to the python binary if wanting to not have it managed by uv. Worker
GO_PATH /usr/bin/go The path to the go binary. Worker
GOPRIVATE The GOPRIVATE env variable to use private go modules Worker
GOPROXY The GOPROXY env variable to use Worker
NETRC The netrc content to use a private go registry Worker
PY_CONCURRENT_DOWNLOADS 20 Sets the maximum number of in-flight concurrent python downloads that windmill will perform at any given time. Worker
PATH None The path environment variable, usually inherited Worker
HOME None The home directory to use for Go and Bash , usually inherited Worker
DATABASE_CONNECTIONS 50 (Server)/3 (Worker) The max number of connections in the database connection pool All
SUPERADMIN_SECRET None A token that would let the caller act as a virtual superadmin superadmin@windmill.dev Server
TIMEOUT_WAIT_RESULT 20 The number of seconds to wait before timeout on the 'run_wait_result' endpoint Worker
QUEUE_LIMIT_WAIT_RESULT None The number of max jobs in the queue before rejecting immediately the request in 'run_wait_result' endpoint. Takes precedence on the query arg. If none is specified, there are no limit. Worker
DENO_AUTH_TOKENS None Custom DENO_AUTH_TOKENS to pass to worker to allow the use of private modules Worker
DISABLE_RESPONSE_LOGS false Disable response logs Server
CREATE_WORKSPACE_REQUIRE_SUPERADMIN true If true, only superadmins can create new workspaces Server
MIN_FREE_DISK_SPACE_MB 15000 Minimum amount of free space on worker. Sends critical alert if worker has less free space. Worker
RUN_UPDATE_CA_CERTIFICATE_AT_START false If true, runs CA certificate update command at startup before other initialization All
RUN_UPDATE_CA_CERTIFICATE_PATH /usr/sbin/update-ca-certificates Path to the CA certificate update command/script to run when RUN_UPDATE_CA_CERTIFICATE_AT_START is true All
GOOGLE_APPLICATION_CREDENTIALS None (ee only) Credentials file for GCP Pub/Sub triggers that authenticate as the instance rather than through a gcloud resource (workspace admins only). Application default credentials also resolve the gcloud well-known file and the GCE metadata server. Workload Identity Federation files work with the file, url and aws credential sources; the executable source is not supported. Server

Run a local dev setup

We recommend using Nix. See ./frontend/README_DEV.md for all options.

Frontend only

Uses the backend of https://app.windmill.dev with local frontend (hot-reload):

cd frontend
npm install
npm run generate-backend-client  # or generate-backend-client-mac on Mac
npm run dev

Windmill available at http://localhost/

Backend + Frontend

See the ./frontend/README_DEV.md file for all running options.

  1. Start a local Postgres database using for instance the start-dev-db.sh script which will make a database available at postgres://postgres:changeme@localhost:5432/windmill Then run the migrations using the following command:
    cargo install sqlx-cli
    env DATABASE_URL=<YOUR_DATABASE_URL> sqlx migrate run
    
    This will also avoid compile time issue with sqlx's query! macro.
  2. (optional, linux only) Install nsjail and have it accessible in your PATH
  3. Install bun, deno and python3 (+ any languages you want to use), have the bins at /usr/bin/bun,/usr/bin/deno, and /usr/local/bin/python3 or set the corresponding environment variables.
  4. (optional) Install the lld linker
  5. Go to frontend/:
    1. npm install, npm run generate-backend-client then REMOTE=http://localhost:8000 npm run dev
    2. You might need to set some extra heap space for the node runtime export NODE_OPTIONS="--max-old-space-size=4096"
    3. Create an empty frontend/build folder using mkdir frontend/build
  6. Go to backend/:
    1. env DATABASE_URL=<YOUR_DATABASE_URL> RUST_LOG=info cargo run
    2. You can specify any feature flag you want to enable, for example cargo run --features python to enable the python executor.
  7. Windmill should be available at http://localhost:3000

Contributing

At this time, we are not seeking outside contribution. Bug reports and feature requests remain very welcome, and small, trivially-verified PRs that fix a problem are still accepted. See CONTRIBUTING.md for the full policy.

Contributors

© 2023-2026 Windmill Labs, Inc.

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Description
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
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