Run the web process, Horizon workers, and the scheduler as three services from a single repository.
Read postDeploy your application in minutes.
Scale automatically. Focus on building.
Connect your repository, push your code, and Darwa handles deployment, hosting, monitoring, and scaling — without managing infrastructure.
One command. Every service live.
Push to your branch and Darwa builds each service in the repository, deploys it, and starts reporting on it — a web app, an API, a database, and a worker, together.
Five steps from repository to running application.
Darwa is built around how developers already work. Push code — everything after that is handled.
Link your Git provider. Darwa reads your project and detects the stack.
Every push builds reproducibly, with full logs and a versioned artifact.
Ship to any environment. Roll back to a previous release at any time.
Logs, errors, and health surface in one place — no agents to install.
Resources follow demand as your traffic rises and falls.
Everything needed to run an application, in one index.
Ten capabilities, and exactly what each one includes. Nothing is hidden behind a sales call.
Connect your code repository and deploy your application in minutes.
- Automatic builds
- Automatic deployments
- Continuous delivery
- Deployment history
- Rollbacks
Run your complete application stack in one place.
- Web applications
- APIs
- Backend services
- Worker processes
- Scheduled tasks
- Background jobs
Your application grows with your users — no manual infrastructure management.
- Traffic spikes
- Resource allocation
- Performance optimization
- Application availability
Every change can be tested safely before going live.
- Development
- Testing
- Staging
- Production
- Temporary preview environments
Understand what is happening inside your applications.
- Application logs
- Performance insights
- Error tracking
- Health monitoring
- Deployment status
Manage your application's data needs without complex setup.
- Managed databases
- Backups
- Storage
- Secure connections
- Scaling options
Deliver applications closer to your users.
- Faster response times
- Better reliability
- Regional requirements
- Multi-region deploys
Designed around how developers already work.
- Connect repository
- Automatic build
- Deploy application
- Monitor performance
- Scale automatically
Operate applications smarter with an assistant that reads your stack.
- Detect deployment issues
- Explain errors
- Suggest improvements
- Recommend optimizations
- Reduce unnecessary usage
Built for teams shipping together.
- Multiple projects
- Access controls
- Deployment approvals
- Shared environments
- Activity history
Any language, any framework, or your own container.
Darwa detects the project and builds it. If a runtime is not detected, supply a Dockerfile and it is treated the same as everything else.
Email, SMS, storage, and payments — connected, not configured.
Communication and storage providers are attached to your application as managed integrations. Credentials are injected per environment, so nothing sensitive lives in your repository.
| Category | Integration | What it does | Status |
|---|---|---|---|
| Transactional email | Send email from your application with verified sending domains and delivery events streamed into your logs. | Available | |
| Managed SMTP relay | Point any framework mailer at a managed relay — credentials injected per environment, no provider account needed. | Available | |
| SMS & voice | Twilio | Partnership integration for SMS, OTP delivery, and voice, wired up without handling raw keys. | Partner |
| SMS | Local SMS gateways | Regional gateway support for markets where local routing is required. | Available |
| Payments | Payment providers | Webhook endpoints provisioned with your service and verified automatically. | Available |
| Object storage | S3-compatible storage | Buckets attached to your application, reachable from every region you deploy to. | Available |
Four environments, one codebase, no drift.
Each environment is the same build with different data, traffic, and scale. Compare them directly.
| Development | Testing | Staging | Production | |
|---|---|---|---|---|
| Purpose | Build features | Verify each commit | Rehearse the release | Serve your users |
| Created | Once, by you | On every commit | Once, by you | Once, by you |
| Data | Seeded sample set | Reset per run | Restored backup copy | Live application data |
| Traffic | Team only | Automated only | Team + stakeholders | Public |
| Scaling | Minimal | Minimal | Production-shaped | Automatic |
| Lifetime | Persistent | Per run | Persistent | Persistent |
Every pull request gets a temporary, fully running copy of your application with its own database — reviewable at a URL, and removed automatically when the branch merges.
See inside your application without installing anything.
Logs, performance, errors, health, and deployment status arrive together — attached to the release that caused them.
Application data, without the setup.
Provision a managed database or storage bucket alongside your application. Connections, backups, and scaling are handled for you.
Provisioned next to your application, with credentials injected into the environment automatically.
Point-in-time copies run on a schedule and can be restored into any environment.
Object storage for uploads and generated files, reachable from every region you deploy to.
Servers on every inhabited continent, mapped to your application.
Pick the regions your application runs in and Darwa places the same release in each one. Requests are routed to the closest healthy region automatically.
Ask about your infrastructure in plain language.
The assistant reads your builds, releases, logs, and metrics. It detects issues, explains errors, and proposes a fix you can apply to an environment.
DATABASE_URL is set in staging but absent in production. Add it to the production environment to unblock the release.
Requests to /api/orders exceed 3s because an unindexed lookup runs on every request. An index on orders.customer_id resolves it.
Queue depth stays at zero for 19 hours daily. Running the worker on a schedule instead of continuously reduces usage.
Cache headers are missing on your asset route. Adding them cuts repeat load time substantially.
Release r-2841 is live in 3 regions. Flagging one thing: p95 on /api/orders rose from 96 ms to 340 ms with this deploy.
what changed?
Migration 0043 dropped the index on orders.customer_id, so the endpoint now scans 1.2M rows per request.
Proposed fixRecreate index on orders.customer_id — projected p95 ≈ 90 msApply to stagingShow diffApplied to staging: p95 is 88 ms over 200 sampled requests. Ready to promote when you approve.
Incident: payment-service is returning 503 in eu-central. 14% of requests failing for the last 90 seconds.
what might have happened?
Three likely causes, ranked: (1) the connection pool is exhausted — 100/100 in use since 09:41, (2) the database accepted a burst of long transactions, (3) the region scaled up faster than the pool limit allows. The first matches the log pattern.
Proposed fixRaise pool size to 200 and recycle idle connections after 30sFix on liveIsolate regionfix on live
Pool raised in eu-central. Errors fell to 0% in 22 seconds. I opened a branch with the same change in config/database so it survives the next deploy.
git push origin main
Build for r-2843 failed after 12s: the worker service exits immediately in production.
why does it pass locally?
QUEUE_URL exists in staging and in your local env file but not in production, so the worker boots with no broker and exits. Nothing in your code changed.
Proposed fixAdd QUEUE_URL to the production environment and rebuild r-2843Fix and pushRebuild onlyVariable set, build re-run, and r-2843 is live in 3 regions. The fix is committed to main as a one-line environment change.
Who can do what, and who signed off.
Roles decide what each person can reach. Deployment approvals record who released, and the activity history keeps the receipt.
| Activity | Project | Actor | When |
|---|---|---|---|
| Deployment approved | storefront | M. Rahman | 2 min ago |
| Preview environment created · pr-482 | storefront | S. Okoye | 18 min ago |
| Production release r-2841 | storefront | automation | 26 min ago |
| Access granted · deploy scope | billing-api | A. Kumshey | 1 hr ago |
| Rollback to r-2839 | billing-api | J. Tanaka | 3 hr ago |
What changes once infrastructure stops being the job.
Four teams, four stacks, one workflow.
We moved eleven services over in a weekend. The part that changed our week is the assistant explaining a 503 before anyone paged us — we fixed the pool on live and pushed the permanent change after.
Two of us run an API used in four countries. Preview environments per pull request and one-click regions replaced the DevOps hire we thought we needed this year.
Approvals, roles, and activity history satisfied our auditors without a spreadsheet. Deploys go out with two sign-offs and the record is right there.
Python API, a Laravel admin, a Docker worker, and a static marketing site — all in one place, all deployed from the same push. Nothing to configure between them.
Notes on shipping and running applications.
Guides, engineering write-ups, and product updates from the team building Darwa.
A look at the signals behind scaling decisions — request rate, saturation, and queue depth.
Read postWire up transactional email and SMS through built-in integrations without managing provider credentials.
Read postThe easiest way to deploy, run, and scale modern applications directly from your code.
Connect your repository, deploy your application, and Darwa handles the rest.