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How Do I Upload AWS Lambda Code?

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Last updated on 3 min read

How Do I Upload AWS Lambda Code?

You upload AWS Lambda code by zipping it up and sending it through the Lambda console, AWS S3, or the CLI

What Actually Happens When You Upload Code

Lambda won’t run your code until it’s properly packaged in a ZIP and uploaded to AWS

When you send that ZIP file to Lambda, AWS unpacks it automatically into the /var/task directory where your function executes. The console handles most of this behind the scenes—it stashes your ZIP in an S3 bucket first, then makes it available to your function. Skip this step and Lambda will throw a “no code” error. Always double-check your ZIP contains every file and dependency, either in the root or in a subfolder that matches your runtime’s expectations.

Here’s How to Actually Do It

Start by zipping your code, then push it to Lambda through the console or CLI

  1. Zip everything up
    • On Linux or macOS: zip -r function.zip . (run this from your project’s root folder)
    • In Windows PowerShell: Compress-Archive -Path * -DestinationPath function.zip
    • Trim the fat with zip -r function.zip . -x "*.git*" "*.DS_Store" so your ZIP stays under 50 MB
  2. Head to the Lambda console
  3. Pick your function
    • Scroll through the list and click the function you want to update (for example, “MyAnalyticsFunction”)
  4. Upload and confirm
    • In the “Code source” tab, choose Upload from.zip file
    • Select your freshly made function.zip and hit Open
    • Click Save in the top-right corner; wait for the green “Code updated successfully” banner

Upload Still Failing? Try These Fixes

Fix upload failures by checking file size, S3 setup, CLI commands, or missing layers

Work through the simplest fixes first, then move on only if you still hit problems:

  • Console chokes on big ZIPs
    • ZIP files over 50 MB usually fail when uploaded directly in the console. Upload to S3 first, then point Lambda to that S3 location under “Code source” → “Amazon S3 location”
  • Deploy with the AWS CLI (v2)
    • Install AWS CLI v2 from the official docs
    • Run: aws lambda update-function-code --function-name MyFunction --zip-file fileb://function.zip
    • Use --image-uri if you’re using container images
  • Forgot to bundle dependencies
    • If your code needs libraries like NumPy or pandas, create a Lambda layer
    • Package those dependencies in a folder such as python/lib/python3.12/site-packages, ZIP it, then upload it as a layer that matches your function’s runtime
  • Handler file ends up in the wrong place
    • Lambda looks for your handler file (for example, lambda_function.py) either in the ZIP’s root or in a folder that matches the handler path (for example, src/lambda_function.py with handler src.lambda_function.handler)

Keep Upload Problems From Happening Again

Use version control, automated pipelines, and local testing to avoid upload headaches

Tip What to do
Version control Stash your code in GitHub or GitLab and tag releases like v1.0.0. Automate ZIP creation with git archive v1.0.0 -o function.zip so every build is identical
CI pipeline Set up a GitHub Action that runs AWS SAM CLI to build and deploy on every push: sam buildsam deploy --guided
Local testing Spin up AWS SAM CLI to test locally before you deploy: sam local invoke MyFunction -e event.json
Clean up old versions List old versions with aws lambda list-versions-by-function --function-name MyFunction and delete anything older than you need with aws lambda delete-function --function-name MyFunction:1 to stay under the 75 GB account limit
This article was researched and written with AI assistance, then verified against authoritative sources by our editorial team.
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