AWS Removes a Major Lambda Code Storage Limit

AWS has removed the 75 GB per-region code storage quota for Lambda, a major relief for organizations with extensive serverless architectures.

Amazon Web Services has rolled out a significant update to its Lambda service that directly addresses a long-standing scaling constraint for developers. According to reporting from InfoQ, AWS Lambda functions can now be deployed from code packages stored in a customer's own S3 bucket. This change effectively eliminates the 75 GB per-region code storage quota that previously applied to all functions within an account. For organizations that continue to use the default AWS-managed storage, the platform is also increasing that limit fourfold, from 75 GB to 300 GB. However, it is critical for developers to understand that this update only affects the account-wide storage total. The individual deployment package size limits for Lambda functions—such as the 250 MB unzipped limit for .zip archives—remain unchanged. This distinction is key for managing expectations and planning function architecture.

The new mechanism provides developers with greater control and flexibility over their deployment artifacts. Previously, every Lambda function's code was uploaded to an internal, AWS-managed S3 bucket, and the cumulative size of all function versions counted against the 75 GB account quota. With this update, developers can now create a Lambda function that points to a specific object version in their own S3 bucket within the same AWS region. This requires granting the Lambda service the necessary IAM permissions to read the object from the specified bucket. An important operational detail is that the function's code is not automatically refreshed when the S3 object is updated. Developers must still explicitly call the `UpdateFunctionCode` API action to trigger a deployment of the new version, ensuring that code changes are deliberate and controlled.

This change is a major relief for organizations with mature and extensive serverless architectures. Large enterprises, high-growth startups, and teams managing complex microservices on Lambda frequently found themselves constrained by the 75 GB limit. This quota often became a significant operational bottleneck, forcing teams to implement cumbersome and costly workarounds. Common strategies included aggressive pruning of old function versions, building complex cleanup automation, or even distributing services across multiple AWS accounts simply to gain more storage headroom. For platform engineering and DevOps teams, this update removes a major source of friction. It simplifies infrastructure management, reduces the need for quota-monitoring busywork, and allows teams to build and deploy services without the constant fear of hitting an arbitrary account-wide ceiling.

From a business perspective, removing this storage barrier lowers the total cost of ownership for large-scale serverless applications. It frees up valuable engineering hours that were previously spent on managing storage quotas instead of building product features. This move makes AWS Lambda a more viable and attractive platform for enterprise-grade workloads, encouraging deeper adoption and preventing customers from migrating to alternative solutions as their applications scale. The practical takeaway for CTOs and engineering leaders is to review any existing architectural patterns or operational scripts designed to circumvent the old 75 GB limit. These can now likely be simplified or retired, leading to a cleaner, more maintainable, and more scalable deployment pipeline. It also provides a green light for teams to expand their use of serverless patterns with greater confidence.

Looking ahead, the serverless community will be closely watching for full integration with popular Infrastructure as Code (IaC) tools. The original report notes that native support within the AWS Terraform provider is still an open enhancement request. This means that while the feature is fully functional via the AWS API and console, teams relying on Terraform for automated deployments may face a temporary gap in tooling. The lack of immediate IaC support is a crucial consideration for teams planning to adopt this feature. More broadly, this update reflects a larger AWS trend of decoupling service limits from AWS-managed resources and giving customers more control by leveraging their own infrastructure, such as S3. We can likely expect to see similar patterns emerge for other AWS services, offering greater flexibility and scale.

This update removes a significant scaling bottleneck for organizations with extensive serverless architectures, who were often forced to implement complex and costly workarounds to stay under the 75 GB per-region code storage quota. It simplifies operations and unblocks further adoption of serverless patterns.

By eliminating the need for engineers to manage a restrictive storage quota, this change reduces operational overhead and the total cost of ownership for large-scale serverless applications. It makes AWS Lambda more competitive for enterprise workloads and encourages deeper platform investment.