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On Amazon Prime Video’s move to a monolith May 14, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Stop Shakespearizing Sep 16, 2022 Using GNU Make with JavaScript and Node.js to build AWS Lambda functions Sep 4, 2022 Monolithic repository vs a monolith Aug 23, 2022 Keep your caching simple and inexpensive Jun 12, 2022 Java is no longer relevant May 29, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Best practices for building a microservice architecture Apr 25, 2022 TypeScript is a productivity problem in and of itself Apr 20, 2022 In most cases, there is no need for NoSQL Apr 18, 2022 Node.js and Lambda deployment size restrictions Mar 1, 2021 Should we abolish Section 230 ? Feb 1, 2021 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Microsoft acquires Citus Data Jan 26, 2019 Which AWS messaging and queuing service to use? Jan 25, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 Let’s talk cloud neutrality Sep 17, 2018 A conservative version of Facebook? Aug 30, 2018 TypeScript starts where JavaScript leaves off Aug 2, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 I built an ultimate development environment for iPad Pro. Here is how. Jul 21, 2017 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 2017 Emails, politics, and common sense Jan 14, 2017 Don't trust your cloud service until you've read the terms Sep 27, 2016 I am addicted to Medium, and I am tempted to move my entire blog to it Sep 9, 2016 What I learned from using Amazon Alexa for a month Sep 7, 2016 Amazon Alexa is eating the retailers alive Jun 22, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 2016 What can we learn from the last week's salesforce.com outage ? May 15, 2016 Why it makes perfect sense for Dropbox to leave AWS May 7, 2016 Managed IT is not the future of the cloud Apr 9, 2016 JavaScript as the language of the cloud Feb 20, 2016 Our civilization has a single point of failure Dec 16, 2015 Operations costs are the Achille's heel of NoSQL Nov 23, 2015 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Setting Up Cross-Region Replication of AWS RDS for PostgreSQL Sep 12, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 The Three Myths About JavaScript Simplicity Jul 10, 2015 Big Data is not all about Hadoop May 30, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 Guaranteeing Delivery of Messages with AWS SQS May 9, 2015 We Need a Cloud Version of Cassandra May 7, 2015 Building a Supercomputer in AWS: Is it even worth it ? Apr 13, 2015 Ordered Sets and Logs in Cassandra vs SQL Apr 8, 2015 Exploration of the Software Engineering as a Profession Apr 8, 2015 Finding Unused Elastic Load Balancers Mar 24, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Trying to Replace Cassandra with DynamoDB ? Not so fast Feb 2, 2015 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 How We Overcomplicated Web Design Oct 8, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Cassandra: a key puzzle piece in a design for failure Aug 18, 2014 Cassandra: Lessons Learned Jun 6, 2014

Node.js and Lambda deployment size restrictions

March 1, 2021

AWS Lambda has a 250 Megabyte limit on the size of the deployable asset. It is a generous limit that is easy to exceed with Node-based Lambda functions.

The underlying issue with Node is that JavaScript is an interpreted language. Third-party modules included as part of the code are all plain-text and verbose.

JavaScript is dynamically linked. You might use one function from, say, AWS SDK, but you need to include the entire AWS SDK module in your package.json. AWS SDK alone can be around 50 Megabytes in size.

By its nature, Node is a suboptimal platform for Lambda. It is slow, bloated, takes a long time to load, and a disproportionally long time to execute. Yet, JavaScript has a religious following and is, sadly, a reality we have to endure.

Here are the top few reasons for a Node-based Lambda to exceed the 250 Megabyte limit and remedy it.

Development dependencies


The first step should be to check whether some dependencies that are included in the final package are needed for development but not needed at runtime.

For example:

  • Typescript compiler,

  • Unit-testing frameworks (i.e. mocha),

  • Linter


Separate production dependencies from development dependencies in your package.json file using dependencies vs. devDependencies and make sure to use npm install —prod-only when building your deployable zip file.

Unnecessary modules


If excluding development dependencies from the production package didn’t help, check whether you are actually using all of the modules you listed in package.json.

Copy/pasting dependencies from other projects without thinking happens to the best of us, though we potentially end up with unnecessary modules included.

Multiple versions of the same module


I ran into this issue at work where a Lambda function used a few modules that we maintain within the team.

The Lambda function was using version X of AWS SDK for its internal workings.

But each dependency was also using a slightly different minor version of AWS SDK.

As a result, the Lambda function shipped with multiple different versions of AWS SDK. The final package size well exceeded the 250 Megabyte limit five-fold.

Using npm ls, I found all of the duplicated nested dependencies on AWS SDK. Since we control all of the modules at issue, I moved AWS SDK to dev dependencies and listed it under peer dependencies section, such that in the end only one version of AWS SDK was installed in Lambda.

Some last thoughts


I doubt that I covered all possible scenarios here. I would not use Node.js at all for a new application. It’s a horrible language and an awful platform. Given Node.js' popularity, though, we have to work with what we have — and that includes finding ways to keep the deployable size small, so it fits within the AWS Lambda limits.