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AWS Lambda

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Free version
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  1. Information technology and software
  2. Arts, entertainment, and recreation
  3. Healthcare and life sciences

What is AWS Lambda

AWS Lambda is a serverless compute service that runs code in response to events and automatically manages underlying infrastructure. It is used by developers and platform teams to build event-driven applications, APIs, data processing jobs, and automation workflows within the AWS ecosystem. Lambda integrates tightly with AWS services for triggers, identity, monitoring, and deployment, and it bills based on requests and execution time. It supports multiple runtimes and container image packaging, with operational controls such as concurrency limits and VPC networking.

pros

Deep AWS service integration

Lambda connects natively to many AWS services as event sources and targets, reducing the need for custom glue code. It works with AWS IAM for fine-grained access control and with AWS monitoring and logging services for operational visibility. This integration is a practical advantage for teams standardizing on AWS for application and data workflows.

Automatic scaling and billing

Lambda scales execution based on incoming events without requiring server provisioning or capacity planning. Pricing is usage-based, typically aligned to request volume and execution duration, which can fit spiky or unpredictable workloads. Concurrency controls and reserved capacity options provide additional levers for performance and cost management.

Flexible packaging and runtimes

Lambda supports multiple managed language runtimes and also supports deploying functions as container images. This allows teams to reuse existing dependencies and standardize build pipelines across services. It can simplify deployment for small services and background jobs compared with managing long-running application servers.

cons

Vendor lock-in considerations

Applications often rely on AWS-specific event sources, IAM patterns, and operational tooling, which can increase switching costs. Porting to another environment may require reworking triggers, permissions, and deployment pipelines. Teams with multi-cloud or portability requirements may need additional abstraction layers.

Execution and runtime constraints

Lambda is designed for short-lived, stateless execution and imposes limits such as maximum runtime duration and resource ceilings per invocation. Workloads needing long-running processes, specialized networking, or persistent local state may require alternative compute services. Cold starts can also affect latency for some runtimes and traffic patterns.

Operational complexity at scale

As the number of functions grows, managing configuration, permissions, versions, and event mappings can become complex. Distributed tracing and debugging across many event-driven components can require disciplined observability practices and additional tooling. Cost attribution can also be harder when many small functions are triggered indirectly by upstream services.

Plan & Pricing

Pricing model: Pay-as-you-go (usage-based) Free tier: 1,000,000 free requests per month; 400,000 GB-seconds of compute time per month (aggregate across architectures); 100 GiB HTTP response streaming per month beyond the first 6 MB per request (free).

Core on-demand pricing (examples taken from AWS official pricing page):

  • Requests: $0.20 per 1 million requests.
  • Compute (on-demand duration): $0.0000166667 per GB-second.

Provisioned Concurrency (additional fees & compute while enabled):

  • Provisioned Concurrency reservation price: $0.0000041667 per GB-second (charged for the time Provisioned Concurrency is enabled).
  • Compute price while Provisioned Concurrency is enabled (per-execution duration): $0.0000097222 per GB-second.
  • Note: AWS Lambda free tier does NOT apply to functions while Provisioned Concurrency is enabled.

Lambda@Edge (CDN edge execution) example pricing:

  • Compute: $0.00000625125 per 128 MB-second.
  • Requests: $0.60 per 1 million requests.

Lambda Managed Instances (run on managed EC2 instances) – pricing components:

  1. Request charges: $0.20 per 1 million requests.
  2. Compute management fee: 15% premium on the EC2 on-demand instance price for instances provisioned and managed by Lambda.
  3. EC2 instance charges: standard EC2 on-demand (or other EC2 pricing options) apply for instances provisioned in your capacity provider.

Other notes from the official page:

  • Duration is rounded to the nearest 1 ms; memory configurable from 128 MB to 10,240 MB in 1 MB increments; billing tiers may apply by architecture/region/account aggregation.
  • Additional features (Durable Functions, Tenant Isolation, Event Source Mapping pricing, EPU pricing for ESM, data-written/storage charges for durable functions) have their own charges described on the official page.

Free plan/trial summary (official page):

  • Permanently free tier: Available (see above free-tier amounts).
  • Time-limited free trial: Unavailable (no time-limited trial stated on the official Lambda pricing page).

Seller details

Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/

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