Build a complete Go app on free tiers. 10 infrastructure layers — single binary hosting, Postgres via pgx, Redis, auth, storage, email, monitoring, CI/CD, background jobs, and API docs. Exact limits, growth costs.
Everything you need to build and ship a Go service — without spending a dollar. This guide recommends the best free tier for each layer of your Go infrastructure — 10 layers from single-binary hosting to API documentation — with exact limits for each. 14 of 31 figures in the tables below come from our records for 1,580 developer tools.
Designed for developers building REST APIs, CLI tools, microservices, DevOps tooling, and cloud-native infrastructure with Go. Each recommendation includes alternatives, a "when you'll outgrow it" guide, "why not X" callouts for popular-but-not-recommended options, and stability notes based on our tracking of 424 real pricing changes. The limits on this page were read from vendor pricing pages between 2026-08-11 and 2026-10-04.
$0/month
Total infrastructure cost for a Go service on free tiers
$0 covers the 8 of 9 picks whose free tier our own badge still reads as active. It does not cover swaggo/swag (unrated — page states no price).
📦 The Single Binary Advantage
Go compiles to a single, statically-linked binary. No runtime, no dependencies, no node_modules, no virtual environments. A Go Docker image built from scratch is typically 5-15 MB — vs 100+ MB for Node.js or Python. This means: lower memory usage (more headroom on free tiers), instant cold starts (50ms vs 5-30 seconds), simpler deploys (copy one file), and no supply chain attacks from dependency trees. Go is the language that Docker, Kubernetes, Terraform, and Prometheus are written in.
Automatically generate RESTful API documentation with Swagger 2.0 for Go. Annotate your handler functions… not confirmed · page states no amount · 2026-09-02
Its Free plan opens with a 30-day trial carrying $5 of credits, then $1 of free credit a month, with auto-deploy from GitHub. Nixpacks auto-detects Go projects — compiles your binary and runs it. No sleep timer — your service stays warm. Go binaries start in milliseconds, so even serverless cold starts are negligible. Docker images from scratch base are typically 5-15 MB, maximizing the free credit.
Free $0 per month. Start with a 30-day free trial with $5 credits, then $1 per month. Up to 1 vCPU / 0.5 GB RAM per service. 0.5 GB of volume storage. 2 replicas during the free trial, then 1. Projects: 5 during trial…
When you'll outgrow it: When you exceed the $5 of usage that Hobby's $5/month includes (usually 1-2 services). Render's free tier spins down after 15 minutes of inactivity, but Go's instant cold starts (~50ms) make this less painful than Python/Node. Fly.io has no free tier for new accounts (legacy accounts retain 3 shared VMs with 256 MB RAM). Koyeb has no free compute tier. Google Cloud Run's free tier (2M requests/month) is excellent for Go — instant scale-to-zero with near-instant cold starts.
⚠️ Why not Heroku: No free tier since November 2022. Why not Vercel: Vercel's Go support is limited to serverless functions — no persistent connections, WebSockets, or goroutines.
Serverless Postgres with the fastest Go driver. Free plan: 1 GB of storage and 100 CU-hours per project, up to 100 projects and 20 GB of storage in total, scales to zero after 5 minutes idle. Use with pgx — the fastest Go Postgres driver, written in pure Go with zero CGo dependencies. pgx supports connection pooling, prepared statements, COPY protocol, and native Go types (time.Time, net.IP, uuid.UUID). Neon's connection pooler handles high-concurrency goroutine access efficiently.
Serverless Postgres with branching — free tier includes 100 CU-hours/month per project, 1 GB of Postgres storage per project (20 GB total across all projects), up to 100 projects, 10 branches per project, Neon Auth (60K…
No longer a free-tier pick: CockroachDB — free tier removed.
When you'll outgrow it: When you exceed 1 GB of storage. Supabase offers 500 MB Postgres with built-in auth. Turso offers 5 GB of edge SQLite via libsql-go — great for read-heavy, globally distributed Go APIs.
⚠️ Why not SQLite (embedded): Go has excellent SQLite support via modernc.org/sqlite (pure Go, no CGo), but most free hosting uses ephemeral filesystems — your database is wiped on every deploy. Only viable on persistent VMs or with Litestream replication. Why not MySQL: Go's database/sql works with MySQL, but the Postgres ecosystem (pgx, sqlc, migrations) is stronger in Go. Most Go ORMs default to Postgres.
Serverless Redis with Go support. Free tier: 500K commands/month, 256 MB storage. The go-redis/redis library is the standard Go Redis client — supports connection pooling, pipelining, pub/sub, and Lua scripting. Go's goroutines + Redis pub/sub is a natural fit for real-time features without external message brokers. Use for session storage, rate limiting, response caching, and as a task queue backend.
Serverless Redis — 500K commands/month (256MB data). Vector: 200M vectors × dimensions and 10K queries a day free. QStash: 1,000 messages/day free
Free Redis databases unused for at least 30 days are archived after warning emails. Their data is backed up and can be restored into a new database from the console. (From upstash.com/docs/redis/help/faq, read 2026-10-06.)
Entering a credit card upgrades a Redis database to pay-as-you-go. Paid databases are charged by their plan and do not get free 256MB data or 500K commands. (From upstash.com/pricing, read 2026-10-06.)
A Redis database created with no account by a POST request to upstash.com/start-redis is deleted after 3 days unless it is claimed into an account from the console link in the response. (From upstash.com/pricing, read 2026-10-06.)
When you'll outgrow it: When you exceed 500K commands/month. Redis Cloud offers 30 MB free with unlimited commands — better for high-throughput caching. For simple caching without Redis, Go's sync.Map or groupcache provide in-process caching with zero external dependencies, but these don't persist across deploys or share state between instances.
25,000 MAU free — the most generous managed auth tier. Go has no framework-level auth (unlike Django), so you need an external provider or roll your own. Auth0's Go SDK + middleware pattern works cleanly: validate JWTs with go-jose or golang-jwt, wrap protected handlers with an auth middleware function. Go's crypto/bcrypt and crypto/subtle are in the standard library — if you roll your own, the crypto primitives are solid.
Identity platform — 25K MAU (B2C), unlimited logins, social + database connections, Universal Login, 1 Enterprise Connection, 5 Organizations, 1 Custom Domain. No credit card required
When you'll outgrow it: When you exceed 25,000 MAU or need enterprise features. Clerk offers 10,000 MAU with pre-built UI (less useful for API-only Go services). Supabase Auth gives 50,000 MAU if you're already using Supabase for your database. For API-only services, rolling your own with golang-jwt + bcrypt is viable — Go's stdlib makes the crypto parts safe.
⚠️ Why not rolling your own from scratch: Go's crypto stdlib (bcrypt, hmac, subtle) is excellent, making it tempting. But you'll still need to implement password reset flows, email verification, rate limiting, CSRF protection, and session management. Auth0 handles all of this on free tier. Only roll your own for API-key auth, internal services, or if you're already comfortable with the security implications.
Zero egress fees — the standout differentiator. 10 GB storage, 1 million Class A operations, 10 million Class B operations per month. S3-compatible API via aws-sdk-go-v2. Go's io.Reader/io.Writer interfaces make streaming uploads and downloads natural — no buffering entire files in memory. Multipart uploads work out of the box with the AWS SDK.
Object storage with zero egress fees — 10 GB storage, 1M writes, 10M reads/month free.
When you'll outgrow it: When you exceed 10 GB storage. At scale, R2 saves dramatically vs S3: 1 TB stored + 10 TB egress costs ~$15/month on R2 vs ~$925/month on S3. Backblaze B2 offers 10 GB free and free egress up to 3x what you store, no CDN required. Supabase Storage gives 1 GB free with image transformations.
⚠️ Why not AWS S3: new accounts get no free storage, only Free plan credits that last at most 6 months; then storage costs $0.023/GB-month. Bandwidth is the part that does not expire — AWS S3 gives every account its first 100 GB of internet egress each month free, on an account of any age — so a Go service serving under 100 GB of pre-signed downloads a month pays nothing for egress on S3 either. Past that S3 charges $0.09/GB and R2 still charges $0.
Modern developer-first email API. 3,000 emails/month, 100/day on free tier. Clean REST API — call with net/http (stdlib) or any HTTP client. No framework-specific adapter needed. Go's net/smtp in the standard library handles basic SMTP sending, but API-based delivery (Resend, Postmark) is more reliable for production — handles SPF/DKIM/DMARC, bounce tracking, and deliverability monitoring.
Developer-first email API — 3K emails/month free (100/day cap), 3 domains, 1K marketing contacts/month, 5 AI credits, 30-day data retention
When you'll outgrow it: When you exceed 3,000 emails/month or 100/day. Brevo gives 300 emails/day (9,000/month) with marketing automation. Amazon SES has no free tier since AWS restructured its Free Tier on July 16, 2025, but at $0.10/1K it is the cheapest at scale.
⚠️ Why not SendGrid: Free tier removed May 2025. Many Go tutorials still reference SendGrid — those guides are outdated. Why not net/smtp alone: Go's stdlib SMTP works for dev/testing, but lacks bounce handling, deliverability monitoring, and template rendering that production email requires.
Developer tier: 5,000 errors/month, 10,000 performance transactions, 50 session replays, 1 GB attachments. Official Go SDK with HTTP middleware integration — captures panics, request context, and goroutine stack traces. Go also has excellent built-in observability: pprof (CPU/memory profiling), expvar (metrics), and net/http/pprof (live profiling endpoint). OpenTelemetry's Go SDK (otel-go) is mature — export traces to Grafana Cloud, Jaeger, or any OTLP-compatible backend.
When you'll outgrow it: When you exceed 5,000 errors/month or need more than 1 team member. Grafana Cloud offers 10,000 series metrics + 50 GB logs + 50 GB traces — great for full observability with OpenTelemetry. BetterStack combines uptime monitoring (10 monitors) with incident management.
⚠️ Why not Datadog: Free tier has only 1-day metric retention — practically unusable for debugging. Per-host pricing ($15/host/month) gets expensive fast. Why not just pprof: pprof is excellent for development profiling but doesn't capture production errors, alerting, or request tracing across services. Use both — pprof for profiling, Sentry for errors.
2,000 minutes/month on free tier for public repos (unlimited) and private repos. Go tests are fast — the testing package is in the standard library, no test framework needed. go test ./... runs everything. Matrix testing across Go 1.21-1.23 catches compatibility issues. Caching the Go module cache cuts CI time by 60-80%. Add go vet, staticcheck, and golangci-lint for comprehensive static analysis — Go's tooling is best-in-class.
Free CI/CD for public repos (unlimited minutes). Private repos: 2,000 min/mo GitHub-hosted runners, 500 MB artifact storage, 10 GB cache/repo. Self-hosted runners remain free — planned $0.002/min charge was postponed…
When you'll outgrow it: When you exceed 2,000 minutes/month on private repos. Go's fast compilation means CI runs are typically shorter than Python/Node projects. Railway and Render auto-deploy from git with zero CI config — combine with GitHub Actions for tests only.
Go's killer feature — goroutines handle most background task needs natively, with zero external dependencies. Launch a goroutine for fire-and-forget work (sending emails, logging, webhooks) at near-zero cost (~2 KB per goroutine). For persistent queues that survive restarts, use Asynq (Redis-backed, inspired by Ruby's Sidekiq) or Temporal (durable workflow orchestration, free tier available). Upstash Redis (500K commands a month free) works as the Asynq backend.
Unlimited — goroutines cost ~2 KB each, millions per process
When you'll outgrow it: Goroutines never outgrow — they scale to millions. You need a persistent queue (Asynq, Temporal, NATS JetStream) when tasks must survive process restarts, need scheduling, or require exactly-once delivery. Upstash's 500K commands/month covers moderate Asynq usage. Redis Cloud's 30 MB free with unlimited commands is better for high-throughput queues.
⚠️ Why not Celery/Bull/Sidekiq equivalents: Go doesn't need them for most use cases — goroutines handle concurrent work natively. Asynq is the closest Go equivalent when you need persistence. Why not channels alone: Go channels are in-process — tasks are lost if the process crashes. For production reliability, use a Redis-backed queue.
📖 API Documentation
Recommendedswaggo/swagFree (open source)unrated — page states no price
Generate OpenAPI/Swagger documentation from Go comments. Add annotations to your handler functions, run swag init, and get a Swagger UI endpoint. Works with chi, gin, echo, fiber, and net/http. Not as automatic as FastAPI's type-driven docs, but integrates well with Go's existing comment conventions. For gRPC services, buf and Connect provide automatic documentation from .proto files.
Automatically generate RESTful API documentation with Swagger 2.0 for Go. Annotate your handler functions, run swag init, and get a Swagger UI endpoint; works with chi, gin, echo, fiber and net/http. Free and… not confirmed · page states no amount · 2026-09-02
When you'll outgrow it: You won't outgrow swaggo — it scales with your API. For API gateway features (rate limiting, API keys, analytics), Zuplo offers a free tier with 500K requests/month. For gRPC, buf.build's free tier generates client SDKs and documentation from your proto definitions.
⚠️ Why not hand-writing OpenAPI YAML: It drifts from your actual code. swaggo generates from your source — one source of truth. Why not no docs at all: Even for internal APIs, Swagger UI saves debugging time.
Stability Notes
Recent pricing changes affecting vendors in this stack. Based on our tracking of 424 deal changes across 1,580+ developer tools.
limits increasedNeon: Neon raised the Free plan's Postgres storage from 0.5 GB to 1 GB per project and added a limit of 20 GB across all of an account's projects. Source ↗
pricing restructuredFly.io: Fly.io raised the price of memory on Machines to $6.00 per GB a month, from about $5, and left CPU prices unchanged. Every preset include... Source ↗
free tier removedCockroachDB: CockroachDB stopped offering its free Basic plan (50 million RUs and 10 GiB of storage free per month) to new deployments on 2026-09-15, ... Source ↗
pricing restructuredRender: Render replaced its workspace plans. Bandwidth for the Hobby tier went from 100 GB to 5 GB included per month, then $0.15 per GB, and Hob... Source ↗
limits increasedNeon: Neon's Free plan went from one member per organization to unlimited members. Source ↗
free tier removedKoyeb: Koyeb withdrew its free Starter plan from new users after announcing on 2026-02-17 that it is joining Mistral AI: new users "must subscri... Source ↗
pricing postponedGitHub Actions: Self-hosted runner per-minute fee ($0.002/min) announced for March 2026 was postponed indefinitely after community backlash. Self-hosted ... Source ↗
pricing restructuredFly.io: Volume snapshots now billed — previously free automatic snapshots now cost $0.08/GB-month Source ↗
limits increasedNeon: Neon raised the Free plan's project limit from 80 to 100, the last of seven increases since 2025-08-29, when the limit was 10. Source ↗
limits increasedNeon: Neon made Neon Auth available on all plans, including Free. Source ↗
limits increasedAuth0: Auth0 increased free tier from 7,500 to 25,000 monthly active users. Largest free tier expansion since Okta acquisition. Makes Auth0 comp... Source ↗
limits increasedNeon: Neon doubled the Free plan's compute from 50 to 100 CU-hours per project a month. Source ↗
When you're ready to spend your first dollar, here's where it matters most. Sorted by which limits you'll likely hit first:
Layer
Free Limit
First Paid Plan
What You Get
Database ⬆ hit first
1 GB storage per project
Launch, usage-based
$0.106/CU-hour, $0.35/GB-month, autoscaling up to 16 CU
Hosting ⬆ hit first
$1 of free credit a month after 30-day $5 trial
Hobby $5/mo
$5 of usage included, no sleep, more RAM
Cache/Redis
500K cmds/mo
Pay-as-you-go $0.2/100K
Unlimited commands, 1 GB storage
Auth
25,000 MAU
Essential $35/mo
Custom domains, roles, MFA policies
Email
3,000 emails/mo
Pro $20/mo
50,000 emails/mo, custom domains, analytics
Storage
10 GB
$0.015/GB/mo
Unlimited storage, still zero egress
Monitoring
5,000 errors/mo
Team $26/mo
50,000 errors, unlimited members, integrations
Background Jobs
Unlimited
Free forever
N/A — built into Go runtime
API Docs
Unlimited
Free forever
N/A — open source
CI/CD
2,000 min/mo
Team $4/user/mo
3,000 min/mo, required reviewers
The first paid upgrade: Database (Neon Launch, usage-based, no monthly minimum) is the first upgrade that matters — storage beyond 1 GB at $0.35/GB-month and autoscaling up to 16 CU. Two layers — background jobs (goroutines) and API docs (swaggo) — are free forever with no external service. Everything else — auth (25K MAU on Auth0), email (3K/mo), monitoring (5K errors), cache/Redis (500K cmds/mo), storage (10 GB R2), CI (2,000 min) — stays free well past your first 1,000 users. Go's minimal resource footprint means you get more out of every free tier.
Architecture: How It Fits Together
A typical Go service connects these layers:
Client → Railway (Go binary, net/http or chi router) → Neon (Postgres via pgx)
→ Auth0 (JWT validation via middleware)
→ Upstash Redis (cache via go-redis)
→ R2 (file storage via aws-sdk-go-v2)
→ Resend (transactional emails via net/http)
→ goroutines (background tasks, in-process)
→ Sentry (error tracking + HTTP middleware)
→ swaggo/swag (/swagger/index.html)
GitHub → GitHub Actions (CI: go test + golangci-lint) → Railway (CD: auto-deploy)
All connections use HTTPS — no VPCs, no SSH tunnels, no complex networking. Each service is independently replaceable. Go's interface-based design makes swapping providers clean — implement the interface, swap the implementation.
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