Best AWS Free Tier Services Every Dev Should Use
Best AWS Free Tier Services Every Dev Should Use
AWS Free Tier provides more computing power than most developers realize—enough to run production applications serving thousands of users at zero cost. But the Free Tier's structure confuses newcomers: some benefits expire after 12 months, others continue permanently, and certain limits apply account-wide rather than per-resource. Understanding these distinctions means the difference between building on genuinely free infrastructure and accidentally generating surprise bills.
This guide identifies the most valuable Free Tier services for developers, explains their exact limits and expiration schedules, and shows how to architect applications that stay within free tier boundaries without sacrificing functionality. You'll learn which services offer permanent free tiers suitable for production use, which temporary benefits work best for learning and experimentation, and how to monitor usage to avoid crossing into paid territory unexpectedly.
We focus on services that provide genuine value for side projects, MVPs, and learning environments, not the entire Free Tier catalog. Every service covered here has practical applications you can deploy today.
Understanding AWS Free Tier Structure
AWS Free Tier operates under three distinct models, and mixing them up causes the most common billing surprises. Knowing which services fall under which category determines how you can use them long-term.
12-Month Free Tier starts from your AWS account creation date and includes compute, storage, and database services at generous limits. The EC2 750-hour monthly allowance, RDS 750 hours, and S3's first-year benefits all expire exactly 12 months after account creation, regardless of actual usage. If you create an account in March 2026, these benefits end March 2027 whether you used them heavily or never touched them.
Always Free services continue indefinitely with monthly usage limits that reset. Lambda's 1 million requests monthly, DynamoDB's 25GB storage, and CloudWatch's 10 custom metrics all fall here. These permanent benefits enable production applications at zero cost if designed within the limits. An always-free architecture can handle legitimate production workloads, not just experiments.
Free Trials provide temporary access to specific services for evaluating them—like Amazon Macie's 30-day trial or CodeGuru's 90 days. Trials start when you first use the service, not at account creation, and automatically convert to paid usage when they expire. Set calendar reminders before trial expiration if you're evaluating services you may not want to pay for.
| Free Tier Type | Duration | Key Services | Best Use |
|---|---|---|---|
| 12-Month | Expires 12 months from account creation | EC2, RDS, CloudFront | Learning, experimentation, temporary projects |
| Always Free | Permanent (monthly limits reset) | Lambda, DynamoDB, S3 (requests) | Production apps, side projects, ongoing services |
| Free Trials | 30-90 days from first service use | SageMaker, CodeGuru, Macie | Service evaluation, feature testing |
Lambda: 1 Million Requests Monthly, Permanently Free
AWS Lambda provides the most generous permanent free tier of any compute service. The always-free allocation—1 million requests plus 400,000 GB-seconds of compute time monthly—supports production workloads at genuine scale, not just toy applications.
The 1 million request limit resets monthly and covers invocations from any trigger: API Gateway, S3 events, EventBridge schedules, or direct invocations. For a typical REST API serving 100ms responses, this handles 1 million endpoint calls monthly at zero cost. That's approximately 30,000 requests daily or 20 requests per minute continuously—sufficient for most side projects and MVPs.
400,000 GB-seconds represents memory allocation multiplied by execution duration. A function with 512MB (0.5GB) memory running for 200ms (0.2 seconds) consumes 0.1 GB-seconds per invocation. Under this configuration, you can execute 4 million invocations monthly within free tier. The free tier compute allowance typically exceeds the request limit, meaning request count constrains you before compute time does.
Build serverless APIs with Lambda + API Gateway HTTP APIs. HTTP APIs are cheaper than REST APIs ($1.00 per million requests vs. $3.50), and the first 1 million Lambda invocations are free. For APIs handling under 1 million requests monthly, your only cost is API Gateway after the first million, approximately $1/month for moderate usage.
Use Lambda for background processing: image resizing, PDF generation, email sending, scheduled cleanup jobs. These workloads run intermittently, making Lambda's pay-per-invocation model more economical than maintaining always-on EC2 instances. A cleanup job that runs once daily for 5 seconds consumes 150 seconds monthly—effectively zero cost impact.
Monitor Lambda usage through CloudWatch Metrics to track invocations and GB-seconds consumed. Set up a CloudWatch alarm that triggers at 800,000 invocations monthly (80% of free tier) to receive warnings before exceeding limits. The alarm itself falls within free tier's 10 custom metrics.
DynamoDB: 25GB Storage Plus 25 RCU/WCU Forever
DynamoDB's permanent free tier—25GB of storage plus 25 read capacity units (RCU) and 25 write capacity units (WCU) monthly—provides production-grade NoSQL database capabilities indefinitely. For applications with modest database requirements, this eliminates database costs entirely.
The 25GB storage limit holds roughly 25 million items of 1KB each or 250,000 items of 100KB each. For user profile storage, session data, or lightweight application state, this capacity supports tens of thousands of active users. E-commerce product catalogs, blog post metadata, and user authentication tables all fit comfortably within 25GB for typical side projects.
25 RCU and 25 WCU translate to approximately 200 reads per second and 25 writes per second for items up to 4KB. In practice, most applications read more than they write, and DynamoDB's millisecond latency makes these capacity units sufficient for applications serving hundreds of concurrent users during peak periods.
Use DynamoDB for user authentication and session storage. Store user profiles, session tokens, and application preferences. The query patterns for authentication—lookup by user ID, email, or session token—match DynamoDB's key-value access patterns perfectly. The free tier capacity handles thousands of daily logins easily.
Implement DynamoDB Streams for event-driven architectures at zero additional cost. Streams capture changes to DynamoDB items and trigger Lambda functions for processing. Combined with Lambda's free tier, this enables complete serverless event processing pipelines: write to DynamoDB, stream triggers Lambda, Lambda processes the change—all within free tier limits for modest traffic.
Design tables with efficient access patterns to maximize free tier value. Use composite keys (partition key + sort key) to enable range queries without table scans. A table scan on a 10GB table consumes all 25 RCU in seconds; a well-designed key structure retrieves exactly the data needed with minimal capacity consumption.
| Use Case | Typical Storage | Read/Write Pattern | Free Tier Fit |
|---|---|---|---|
| User Profiles (10K users) | ~50MB | Read-heavy, low write | Excellent - well within limits |
| Blog Posts (1K articles) | ~100MB | Read-heavy, rare writes | Excellent - minimal capacity use |
| Session Storage | ~500MB-2GB | Balanced reads/writes | Good - monitor during traffic spikes |
| Analytics Events | 10-20GB | Write-heavy, infrequent reads | Moderate - may exceed WCU at scale |
S3: 5GB Storage Plus 20,000 GET and 2,000 PUT Requests
S3 provides two separate free tier benefits: 5GB of Standard storage for 12 months, plus 20,000 GET requests and 2,000 PUT requests monthly that continue permanently. Understanding this split determines how to use S3 sustainably beyond the first year.
The 5GB storage limit expires after 12 months but works perfectly for static website hosting, small file storage, or backup solutions during your first year. A React or Next.js static site typically consumes 50-200MB including assets, leaving 4.8GB for user uploads or other data. After 12 months, S3 Standard storage costs $0.023/GB monthly, so 5GB becomes $0.12/month—still negligible.
Permanent request allowances—20,000 GET requests and 2,000 PUT requests monthly—provide lasting value. These limits reset monthly regardless of account age. A static website with 10,000 monthly visitors making 2 requests each (HTML + assets) stays within the GET limit. User file uploads of 100/month stay well under the PUT limit.
Host static websites on S3 with CloudFront for global delivery. S3 serves the origin content, CloudFront caches at edge locations reducing origin requests. A static site with 90% CloudFront cache hit rate makes 1,000 S3 GET requests for every 10,000 user requests—staying within free tier indefinitely.
Use S3 for application file storage: user profile images, PDF uploads, CSV exports. Store files with descriptive keys, implement lifecycle policies to transition old files to cheaper storage classes, and use presigned URLs for direct client uploads to avoid proxy costs. A typical SaaS app with 500 users uploading 1 profile image each stays under PUT limits easily.
Implement S3 Intelligent-Tiering for data you're unsure about. This storage class automatically moves infrequently accessed objects to cheaper tiers while keeping frequently accessed data in Standard. It costs $0.0025 per 1,000 objects to monitor—negligible—and saves 40-95% on storage for data accessed rarely. After your 12-month free tier expires, Intelligent-Tiering minimizes ongoing costs.
Monitor S3 usage through Storage Lens metrics, which are free for basic dashboards. Track total storage size, request counts, and data transfer to see when you approach limits. Set up a custom CloudWatch alarm on S3 request metrics to warn you before exceeding the permanent free tier allowances.
EC2: 750 Hours Monthly of t2.micro or t3.micro (12 Months)
The EC2 free tier—750 hours monthly of t2.micro or t3.micro instances for 12 months—provides a complete Linux or Windows server for learning, development, or small applications. The 750-hour limit equals one instance running continuously or multiple instances running part-time.
A t2.micro or t3.micro instance provides 1 vCPU and 1GB RAM, sufficient for lightweight web servers, development environments, or small databases. This handles personal blogs, simple REST APIs, or learning environments for containerization and deployment practices. Production workloads requiring more resources quickly outgrow this tier, but for learning and experimentation, it's valuable.
Run one t3.micro instance 24/7 for the full 12 months to maximize learning value. Install your web application, database, and any services you're experimenting with on a single instance. The 1GB RAM limitation teaches resource optimization—you learn to configure PostgreSQL, Redis, and Node.js to coexist within tight memory constraints, valuable skills for production optimization.
Use the free tier for CI/CD runners. Host a self-hosted GitHub Actions runner or GitLab CI executor on your free t3.micro instance. For solo developers or small teams with 10-20 builds daily, this provides continuous integration without external runner costs. The instance runs continuously within the 750-hour limit, and builds complete successfully for small to medium projects.
Set up personal development environments accessible from anywhere. Configure VS Code Remote SSH or deploy JupyterLab for data science work. The persistent cloud instance means you can start work from any device without local environment setup. After 12 months, decide whether to pay $7.50/month to keep it running or migrate to serverless alternatives.
Remember that data transfer out to the internet costs $0.09/GB after the first 1GB monthly (which is free permanently). A web server streaming video or serving large files can generate unexpected data transfer charges even within the EC2 free tier. For static file hosting, use S3 + CloudFront instead, where CloudFront's 1TB monthly free tier (first 12 months) covers most use cases.
CloudWatch: 10 Custom Metrics and Alarms for Monitoring
CloudWatch's permanent free tier—10 custom metrics, 10 alarms, and 1 million API requests monthly—provides production-grade monitoring capabilities indefinitely. Combined with other free tier services, this enables complete application observability at zero cost.
The 10 custom metric limit covers the most critical application metrics: API response time, database query count, error rate, active users, queue depth, and cache hit rate. While AWS services emit many default metrics automatically (EC2 CPU, Lambda invocations), custom metrics track business-specific data points that determine application health.
10 free alarms enable proactive monitoring. Set alarms for critical conditions: Lambda invocations approaching free tier limits, DynamoDB read capacity exceeding 80%, S3 request counts nearing 20,000 monthly, or API error rates exceeding 5%. Each alarm sends notifications via SNS when thresholds breach, catching problems before they impact users or generate unexpected costs.
Use CloudWatch Logs for Lambda function logging at no additional cost within free tier. Lambda automatically logs to CloudWatch, and you get 5GB of log ingestion and 5GB of log storage monthly free permanently. For serverless applications generating 50MB of logs daily, this covers 100 days of retention—adjust retention policies to 90 days and stay within free tier indefinitely.
Create CloudWatch Dashboards (3 dashboards with up to 50 metrics each, free) to visualize application health. Track Lambda invocations, DynamoDB capacity consumption, S3 storage growth, and custom business metrics in one view. Share dashboards with team members or embed them in status pages without additional cost.
Implement log-based metrics to stay within custom metric limits. CloudWatch Logs can extract metrics from log data automatically—like counting error log entries or tracking specific user actions from application logs. These derived metrics count against your 10 custom metrics but avoid instrumenting code with additional metric publication calls.
API Gateway: 1 Million HTTP API Requests (12 Months)
API Gateway's 12-month free tier—1 million HTTP API requests monthly—pairs perfectly with Lambda's permanent free tier to build complete serverless REST APIs at zero cost during your first year. After 12 months, HTTP API requests cost $1.00 per million, making them affordable for ongoing use.
HTTP APIs cost significantly less than REST APIs ($1.00 vs. $3.50 per million requests) and handle most common API use cases: JWT authorization, CORS configuration, parameter mapping, and Lambda integration. Choose HTTP APIs unless you specifically need REST API features like API keys, usage plans, or request/response transformations beyond basic parameter mapping.
Build serverless backends with API Gateway + Lambda + DynamoDB entirely within free tier. API Gateway receives requests, Lambda processes business logic, DynamoDB stores data. For applications under 1 million monthly requests during the first year, infrastructure costs zero. After year one, monthly costs remain under $5 for modest traffic.
Use API Gateway for webhook receivers. Third-party services like Stripe, GitHub, or Twilio send webhook notifications to your endpoints. API Gateway handles the HTTP routing, Lambda processes the webhook payload, and the entire flow stays within free tier for most webhook volumes. Stripe sends perhaps 100-1,000 webhooks monthly for a small SaaS, far below API Gateway limits.
Implement CORS and custom domains through API Gateway without additional configuration services. API Gateway handles CORS headers automatically with simple configuration. Custom domain mapping costs nothing beyond domain registration—route api.yourdomain.com to your API Gateway endpoint for professional-looking APIs.
RDS: 750 Hours of db.t2.micro or db.t3.micro (12 Months)
RDS free tier provides 750 hours monthly of db.t2.micro or db.t3.micro database instances for 12 months, plus 20GB of storage and 20GB of backup storage. This gives you a managed PostgreSQL, MySQL, or MariaDB database for learning and development without operational overhead.
The db.t3.micro instance offers 1 vCPU and 1GB RAM, which is tight for production databases but works for development environments and small applications. A database supporting 10-20 concurrent connections handles lightweight read/write patterns adequately. For learning SQL optimization, application development, or prototyping with a relational database, this provides full managed database functionality.
Use RDS free tier for development and staging databases that mirror production structure without production load. Test schema migrations, practice query optimization, and validate backup/restore procedures on real managed database infrastructure. The experience translates directly to production RDS usage while costing nothing during the learning phase.
20GB of storage supports databases for typical development: user tables, product catalogs, blog posts, or application metadata. Real production databases quickly exceed 20GB, but for MVPs and learning projects, this capacity suffices. Configure automated backups within the free 20GB backup allowance to practice disaster recovery without additional cost.
After 12 months, evaluate whether to continue with RDS or migrate to alternatives. A db.t4g.micro instance costs ~$12/month after free tier expires. For simple applications, self-managed PostgreSQL on a t3.micro EC2 instance costs $7.50/month, saving $4.50 monthly but requiring manual management. For complex applications, Aurora Serverless v2 might offer better value despite higher base cost, as it scales with usage.
Consider alternative database strategies that remain free beyond 12 months: DynamoDB's permanent free tier handles many use cases traditionally requiring relational databases. User profiles, session storage, and simple transactional data work well in DynamoDB. Reserve RDS for applications genuinely requiring complex relational queries, joins, or existing SQL codebases.
SNS and SQS: Generous Message Limits for Event-Driven Architecture
SNS (Simple Notification Service) and SQS (Simple Queue Service) provide permanent free tiers that enable event-driven architectures at scale. SNS offers 1 million publishes monthly, SQS provides 1 million requests monthly, and both limits reset monthly indefinitely.
Use SNS for fan-out notification patterns. One SNS publish can trigger multiple subscribers: send an email via SES, write to an SQS queue, invoke a Lambda function, and post to an HTTP endpoint simultaneously. For applications with 10,000 events monthly requiring multi-channel notifications, SNS handles this entirely within free tier. Common use case: user signup triggers welcome email, analytics event, and account provisioning.
SQS enables reliable asynchronous processing. Queue background jobs—email sending, report generation, image processing—for Lambda consumers to process at their own pace. The free tier's 1 million requests covers queue writes, reads, and deletes. An application queuing 20,000 jobs monthly and processing them consumes 40,000 requests (one write, one read/delete per job), leaving 960,000 requests for polling and monitoring.
Build decoupled microservices with SQS between components. Service A writes to a queue, Service B reads and processes. This architecture tolerates individual service failures—messages wait in the queue until consumers recover. For learning distributed systems concepts, this provides production-grade message queuing without infrastructure costs.
Implement dead letter queues for failed message handling. Messages that fail processing repeatedly move to a dead letter queue for investigation. This pattern prevents poison messages from blocking queue processing and provides visibility into failure patterns. Both the primary queue and DLQ fall within free tier limits for typical development volumes.
| Service | Free Tier Limit | Duration | Best Use Case |
|---|---|---|---|
| SNS | 1M publishes/month | Permanent | Multi-subscriber notifications, alerts |
| SQS | 1M requests/month | Permanent | Job queues, async processing, decoupling |
| SES (email) | 62,000 messages/month (from EC2) | Permanent | Transactional email, notifications |
Building a Complete Free Tier Architecture
Combining multiple free tier services creates production-capable applications at zero infrastructure cost. Understanding how services integrate determines what you can build sustainably within free limits.
A serverless web application using Lambda + API Gateway + DynamoDB + S3 handles thousands of users within permanent free tier. Frontend static files serve from S3 with CloudFront caching (1TB transfer free first 12 months). API Gateway routes requests to Lambda functions (1 million invocations free). Lambda processes business logic and accesses DynamoDB (25GB storage, 25 RCU/WCU free). This architecture costs $0-5/month after the first year for modest traffic.
An automated background processing system leverages SQS + Lambda + SNS for event-driven workflows. Application publishes messages to SQS (1 million requests free). Lambda consumers process messages from the queue (1 million invocations free). Processing results trigger SNS notifications (1 million publishes free) to multiple subscribers. Monitor everything with CloudWatch alarms (10 free). This handles significant background job volumes at zero cost.
A personal blog or portfolio site uses S3 static hosting + CloudFront + Route 53 + Lambda for dynamic features. Static content serves from S3 (5GB storage first year, then $0.12/month). CloudFront provides global CDN (1TB transfer first year). Route 53 hosts DNS ($0.50/month for hosted zone, minimal query charges). Lambda handles contact forms or comment systems (1 million invocations free). Total cost: $0.50-2/month after year one.
Monitoring Free Tier Usage to Avoid Surprise Bills
AWS doesn't provide a single dashboard showing free tier consumption across all services. You must configure monitoring explicitly to track usage and receive alerts before exceeding limits.
Enable AWS Budgets with free tier usage tracking. Create a zero-dollar budget specifically for tracking free tier usage. Configure it to alert at 80%, 100%, and 120% of free tier limits. This sends emails when you approach limits, giving you time to optimize before generating charges. AWS Budgets provides two free budgets per account, sufficient for total spend tracking and free tier monitoring.
Use the AWS Free Tier page in the billing console, which shows current month-to-date usage against free tier limits for active services. Check this weekly during your first few months to understand consumption patterns. Services you haven't used don't appear, so the list grows as you experiment with more free tier offerings.
Set up CloudWatch alarms for specific service metrics: Lambda invocations at 800,000/month, DynamoDB read capacity at 20 RCU, S3 GET requests at 16,000/month. These service-specific alarms provide earlier warning than budget alerts, catching usage spikes before monthly limits are reached.
Configure billing alerts even if you expect to stay within free tier. A $10 billing alert catches mistakes like leaving expensive services running, launching instances in wrong regions where free tier doesn't apply, or configuration errors that generate unexpected charges. Most free tier usage mistakes generate $5-50 bills before being noticed; early alerts limit damage.
Frequently Asked Questions
Can I run a production application on AWS Free Tier?
Yes, for applications with modest traffic. Lambda's 1 million requests and DynamoDB's 25GB storage with 25 RCU/WCU support legitimate production workloads, not just development. Applications serving 5,000-10,000 users monthly fit comfortably within permanent free tier limits. The 12-month benefits (EC2, RDS) work for production during the first year, after which you evaluate whether to pay or migrate to permanent free tier alternatives.
What happens when I exceed free tier limits?
AWS automatically charges standard rates for usage beyond free tier limits. There's no cliff where costs suddenly spike—you pay incrementally for overage. For example, if you use 1.2 million Lambda requests, you pay for 200,000 requests at standard rates (~$0.04). Monitor usage through Budgets and billing alerts to catch overages early before they accumulate.
Does AWS Free Tier work in all regions?
Free tier applies to most major regions but not all. Services in GovCloud or China regions typically don't include free tier benefits. Check the AWS Free Tier page for region-specific availability. When creating resources, verify you're in a free tier eligible region (us-east-1, us-west-2, eu-west-1, etc.) to ensure benefits apply.
Can I create multiple AWS accounts to get more free tier?
Technically yes, but AWS Terms of Service prohibit creating multiple accounts solely to abuse free tier benefits. Legitimate use cases—separate accounts for personal projects vs. employer work, or multi-account organizations for environment isolation—are acceptable. Creating dozens of accounts just for free tier violates ToS and risks account suspension.
How do I track when my 12-month free tier expires?
Your 12-month free tier expires exactly 12 months from account creation date, visible in the account settings. Set a calendar reminder for month 11 to review usage and plan for post-free-tier costs. The AWS Free Tier page shows expiration dates for active services. Budget approximately $20-50/month for typical usage after expiration if continuing with previous architecture.
Which free tier services should I prioritize learning first?
Start with Lambda, DynamoDB, and S3—the permanent free tier services that enable complete applications indefinitely. These three services plus API Gateway form the foundation for serverless architectures. EC2 and RDS free tier teaches traditional infrastructure but expires after 12 months, making them better for later learning after mastering serverless patterns.
Can I use AWS Free Tier for commercial projects?
Yes, free tier has no restrictions on commercial use. You can build and monetize applications using free tier services. Many successful SaaS products started entirely on free tier, adding paid AWS resources only after achieving revenue. The only requirement: comply with AWS Terms of Service, which prohibit activities like cryptocurrency mining or network scanning.
How much can I actually save using AWS Free Tier?
During the first 12 months, typical savings range from $200-600 for active development (EC2, RDS, API Gateway, CloudFront). After 12 months, permanent free tier services (Lambda, DynamoDB, S3 requests) save $50-150 monthly compared to paid alternatives for modest traffic applications. A serverless app within permanent free tier limits saves $600-1,800 annually compared to traditional EC2-based hosting.
Conclusion
AWS Free Tier provides genuine production infrastructure capabilities, not just a trial period. Lambda's 1 million monthly requests, DynamoDB's 25GB storage with 25 RCU/WCU, and S3's permanent request allowances enable complete applications serving thousands of users at zero ongoing cost. These permanent benefits outlast the 12-month temporary tiers and support sustainable architecture for side projects and MVPs.
The most valuable free tier services—Lambda, DynamoDB, S3, CloudWatch, SNS, and SQS—form a complete serverless stack that remains free indefinitely within usage limits. Design applications to leverage these services first, adding temporary free tier benefits like EC2 and RDS for learning and experimentation but planning migration paths to permanent free tier alternatives or paid services after 12 months.
Monitor usage proactively through AWS Budgets and CloudWatch alarms to stay within limits. The difference between free tier success and surprise bills is visibility: knowing your consumption patterns and receiving alerts before exceeding limits. Set up monitoring during initial infrastructure deployment, not after discovering unexpected charges. With proper monitoring and architectural choices, AWS Free Tier supports years of development, learning, and small-scale production deployment without infrastructure costs.