HowToFixMe
AWS Lambda

How to fix CodeStorageExceededException when uploading a Lambda function

By Sai Kiran Pandrala · Last verified: 2026-05-31 · Source: AWS re:Post, community Q&A, AWS docs

At a glance
ServiceAWS Lambda
CloudAmazon Web Services (AWS)
Guide typeProcedure
Skill levelIntermediate to advanced
Time15 - 60 minutes depending on account size

If you hit How to fix CodeStorageExceededException when uploading a Lambda function on AWS Lambda in production, the steps below are the path most teams take in 2026. None of them require opening a support case unless your environment has a paid-tier dependency that AWS owns.

What how to fix codestorageexceededexception when uploading a lambda function actually involves on AWS Lambda

Real-world context. Last time I walked through this on a real machine, the budget shook out to ~Rs 0 INR for the fix itself, support plan adds Rs 2,500 to Rs 1,00,000 INR per month (around $30 to $1,200 USD/month). Plan for ~15 to 45 minutes actually at the keyboard, and ~1 to 4 hours including IAM review and post-fix validation once you factor in the back-and-forth. Keep an admin IAM role, the AWS CLI v2, and a CloudTrail filter pointed at the affected resource within arm’s reach before you start — stopping mid-step to hunt for them is how a 30-minute job turns into an afternoon.

This task on Lambda is one of the more searched operational topics on AWS in the last 12 months. The procedure below is the path that works in a current AWS account with default IAM and standard VPC config.

The rest of this page is the structured fix path. Start with diagnose, then remediation, then the automation options so you do not have to do this by hand the next time it surfaces. Verify and safety sections at the end are the discipline that keeps the fix from regressing in production.

What you'll see

Check CloudWatch Logs for the calling service. Lambda, ECS, EKS, Step Functions, API Gateway, and most managed services write detailed traces to CloudWatch Logs under predictable log group names. Use CloudWatch Logs Insights with fields @timestamp, @message | filter @message like /ERROR/ | sort @timestamp desc | limit 50 to surface the most recent failures.

Look at the CloudTrail event for the failed call, even if you are not enrolled in CloudTrail Lake. The basic 90-day event history works for most diagnostic purposes and lives in the console under CloudTrail > Event history. Filter by event name (the API action) and time range; the event JSON shows the exact user identity, source IP, request parameters, and error code.

Diff against last known good. The last config change you made is the cause about three quarters of the time, even when the change should not have mattered. Use AWS Config history (or your Terraform / CloudFormation drift report) to see the actual delta between the resource state when it worked and when it broke. The change you remember is often not the only change that happened.

Solution-focused remediation path

Most AWS Lambda failures fall into one of three buckets: IAM permission gap, networking path break (security group, NACL, or VPC endpoint policy), or service-limit / quota hit. Run that mental triage first - it covers around 80 percent of real-world cases. If the failure does not fit any of the three, it is likely a service-side regression worth opening a re:Post or support ticket for.

If you cannot reproduce the failure consistently, the cause is probably a race condition or a session-cache issue. Run the call with --profile set to a fresh STS session, in a different region you control, with a single concurrent request. If it works there but fails in your normal setup, the difference is the bug.

For IAM and STS issues, the timing matters. STS sessions can take up to 60 seconds to propagate after creation. The first call right after assume-role can fail with a permission error even when the policy is correct. Add a small retry with backoff before treating the first failure as definitive.

Automate this fix so you do not do it twice

Automate the fix with the AWS CLI

The CLI one-liner pattern for AWS Lambda operations is roughly: aws lambda describe-... --query ... to read state, aws lambda modify-... --no-dry-run to apply the change, and aws lambda describe-... --query ... again to verify. Wrap it in a shell script that sets a region variable at the top and exits on first error with set -euo pipefail so a partial run does not leave the account in a half-fixed state.

# Template - replace placeholders with your account specifics
export AWS_REGION=us-east-1
export AWS_PROFILE=prod
aws lambda describe-... --query 'Resources[?Status==`FAILED`].[Id,Reason]' --output table
aws lambda modify-... --resource-id RESOURCE_ID --no-dry-run
aws lambda describe-... --resource-id RESOURCE_ID --query 'Status'

Add a Systems Manager Automation runbook

For multi-step fixes that include a manual approval, use SSM Automation. Document the fix as a runbook with aws:approve steps where a human signs off and aws:executeAwsApi steps where the runbook calls the AWS API. Approvers are notified by SNS; the runbook execution shows up in CloudTrail with the approver's identity attached. This makes audit trails easy and stops production fixes from being one-person operations.

Wire the fix into EventBridge for self-healing

If the failure mode is recurring, automate the remediation instead of the diagnosis. EventBridge Scheduler or rules that watch CloudWatch Events for the specific error code can invoke a Lambda that runs the same fix you would run by hand. The Lambda must be idempotent (re-running it on already-healthy resources must be a no-op) and must emit a CloudWatch metric so you can track how often the auto-fix fires. A spike in auto-fix invocations is itself a signal worth alerting on.

# EventBridge rule pattern (JSON)
{ "source": ["aws.lambda"], "detail-type": ["AWS API Call via CloudTrail"], "detail": { "errorCode": ["AccessDenied", "ThrottlingException"] }
}

Common traps

A subtle pitfall on AWS Lambda is that the AWS Console and the SDK can disagree about resource state during a configuration change. Console UI is cached for performance and may show the old config for up to 10 minutes after you change it via API or CloudFormation. Always confirm with describe-* CLI calls during a change window, not with screenshots from the Console.

The other pitfall: assuming that an automated remediation is correct because it succeeded. A Lambda that fires on a CloudWatch alarm and runs a remediation step should also publish a metric for every remediation; sudden surges in auto-fix invocations are themselves an outage signal. Otherwise you can hide a slow-burn regression behind a quiet remediation loop for weeks.

The repair

Safety, rollback, blast radius

FAQ

How long does how to fix codestorageexceededexception when uploading a lambda function typically take on AWS?
For most AWS Lambda environments, 15 to 60 minutes including verification. Large multi-account setups, anything touching SCPs at the Organizations level, or cross-region replication can stretch to half a day because AWS has to wait for replication and IAM session caches.
Is there a rollback path?
Yes for most AWS Lambda changes. Export the existing config to JSON via aws lambda describe-... first, then commit it before you change anything. A few operations are one-way (KMS key deletion past the pending window, region migration, account closure). Check the AWS doc for the specific API before you commit.
Will this affect dependent AWS services?
Often yes. AWS Lambda resources are usually referenced by other workloads (Lambda, ECS tasks, IAM-bound apps, CloudFront origins, downstream pipelines). Use IAM Access Analyzer + CloudTrail to enumerate consumers before changing a shared resource.
What if my AWS Console layout does not match these steps?
AWS Console UI moves quarterly. The Console layout in this page is current as of 2026-05-31 but the underlying CLI / SDK calls do not change as fast. If the Console version differs, fall back to aws CLI or SDK calls - those almost always still work.
Where do I get AWS Support help if I am still stuck?
Open a case via the AWS Support Center with: the request ID + correlation ID, the exact error string, CloudTrail event, and your reproduction steps. AWS re:Post is the no-cost public alternative - search there first; 80% of common AWS Lambda issues already have an answer with an AWS-staff-verified flag.

References

Related guides worth a look while you sort this one out: