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Encore

Updated Jul 26, 2026
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Define infrastructure in TypeScript or Go. Encore provisions real PostgreSQL, Pub/Sub, and more in your AWS/GCP. No config files. Ship 10x faster.

Categories:
#infrastructure#cloud#devops#backend#ai
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Editor's Verdict

Rating: 4.8/5.0Reviewed by RAGWiki
At Free forever, Encore stands out as a powerful solution in the developer tools landscape. It is especially well-suited for professionals like Software Engineer and DevOps Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid limited language support. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Declarative Infrastructure in Code
  • Automatic Provisioning
  • Local Development Mirror
  • Preview Environments per PR

In-Depth Review: What is Encore?

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Encore lets developers and AI agents define cloud infrastructure directly in application code. Run the real system locally, get preview environments per PR, and automatically provision production infrastructure in your own AWS or GCP account. No Terraform, no Pulumi, no separate configs. Just code, commit, deploy. Built-in distributed tracing, service catalog, and architecture diagrams keep your team productive without a platform team.

Core Features

Declarative Infrastructure in Code

Define infrastructure directly in TypeScript or Go using the open source SDK, eliminating Terraform and YAML files.

Automatic Provisioning

Encore automatically provisions and deploys infrastructure to your own AWS or GCP account with sane defaults.

Local Development Mirror

Run your entire backend locally with real services, databases, Pub/Sub, and all infrastructure using one command, 'encore run'.

Preview Environments per PR

Every pull request gets a full production-like environment with real infrastructure for end-to-end testing.

Built-in Observability

Out-of-the-box distributed tracing, metrics, architecture diagrams, and a service catalog with API explorer.

AI Agent Integration

Encore's MCP server gives AI agents full context of services and APIs, enabling code generation that follows existing patterns.

No Lock-in

Deploy to your own cloud account (AWS/GCP) and you own your infrastructure. Open-source CLI allows migration without vendor lock-in.

Hot Reload

Code changes are reflected immediately without restarts, speeding up local development.

Pricing

Free

Free forever
  • Local development with automated infrastructure
  • Declarative Infrastructure as Code (No Terraform, no YAML)
  • Service Catalog & Architecture Diagrams
  • Free dev environments on Encore Cloud (fair use)
  • Distributed tracing (1M events/month included)
  • Logs & trace retention (7 days)
  • Secrets management
  • CI/CD & Automated testing
  • 2 concurrent builds
  • Community support on Discord
Most Popular

Pro

$49 per member/month + $99 per AWS/GCP environment/month + $2.5 per resource/month
  • All Free features
  • Unlimited dev environments on Encore Cloud
  • Distributed tracing (20M events/month included, then $1.2 per 1M events)
  • Logs & trace retention (30 days)
  • Concurrent builds (2, upgradeable)
  • Preview Environments per Pull Request
  • Custom Domains
  • Deploy to your own AWS & GCP
  • Automatic infrastructure provisioning
  • Infrastructure tracking & change management with approval workflows
  • Import existing Kubernetes clusters
  • Web Application Firewall (Powered by Cloudflare)
  • Integrations with Datadog, Grafana, and more
  • Cloud cost analytics
  • Email support

Enterprise

Contact us
  • All Pro features
  • Least-privilege IAM management
  • Self-Hosted Preview Environments
  • Custom Network Security rules
  • Custom Role-Based Access Control (RBAC)
  • CI/CD Customization
  • SOC 2 compliance assistance
  • Private Slack support
  • Technical Account Manager
  • Uptime guarantees & Custom Support SLAs

Pros and Cons

Pros

  • Eliminates DevOps OverheadNo need to write or maintain Terraform/Pulumi files; infrastructure is defined in code and automatically provisioned, reducing time spent on DevOps by up to 95%.
  • Fast Local DevelopmentSingle command to run the entire backend locally with real infrastructure, mirroring production exactly and eliminating 'works on my machine' issues.
  • No Vendor Lock-inDeploy to your own AWS or GCP account, and if needed, you can migrate away using the open-source CLI with no proprietary runtime dependencies.
  • Built-in ObservabilityComes with distributed tracing, metrics, architecture diagrams, and a service catalog out of the box, requiring no additional setup or instrumentation.
  • Cost SavingsBy automating infrastructure and reducing the need for a dedicated platform team, companies save significantly on cloud costs and engineering resources.

Cons

  • Limited Language SupportCurrently only supports TypeScript and Go, which may not fit teams using other languages like Python, Java, or Rust.
  • Learning CurveDevelopers need to learn Encore's SDK and patterns, which can be a barrier for teams deeply invested in traditional IaC tools like Terraform.
  • Pricing Can ScalePro plan charges per member, per environment, and per resource, which can become expensive for larger teams or many microservices.
  • Not Fully Mature EcosystemAs a relatively new platform, the community and third-party integrations are still growing, which might limit some advanced use cases.
  • Dependency on Encore CloudWhile you own the infrastructure, the automation and management features depend on Encore's cloud service, creating a single point of failure for orchestration.

Use Cases & Recommended Professions

Software Engineer→ View Toolkit

Focus on writing application code without worrying about provisioning databases, queues, or storage. Encore automates the infrastructure setup, accelerating development.

DevOps Engineer→ View Toolkit

Reduce time spent on Terraform configurations and infrastructure maintenance. Encore provides built-in observability and automates deployments.

CTO / Technical Founder→ View Toolkit

Ship products faster with a lean team by avoiding the need for a dedicated platform team. Encore handles infrastructure so you can focus on product-market fit.

Startup Engineer→ View Toolkit

Get from idea to shipped product quickly without the overhead of managing cloud infrastructure. Encore's preview environments simplify testing.

AI/ML Engineer→ View Toolkit

Leverage Encore's MCP server to let AI agents understand and extend the backend infrastructure, integrating AI development seamlessly.

Platform Engineer→ View Toolkit

Use Encore as a platform foundation, customizing with Kubernetes import, custom domains, and cost analytics, while reducing the burden of building in-house tooling.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Encore were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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