🚀 Project Update:

Serverless MySQL: v1.1.0 Released

Serverless MySQL v1.1.0 adds additional transaction support capabilities to allow users to retrieve interim query results for use with future queries. This is useful for getting the insertId from previous queries when performing transactions. Read More...

Managing MySQL at Serverless Scale

“What? You can’t use MySQL with serverless functions, you’ll just exhaust all the connections as soon as it starts to scale! And what about zombie connections? Lambda doesn’t clean those up for you, meaning you’ll potentially have hundreds of sleeping threads blocking new connections and throwing errors. It can’t be done!”  ~ Naysayer

I really like DynamoDB and BigTable (even Cosmos DB is pretty cool), and for most of my serverless applications, they would be my first choice as a datastore. But I still have a love for relational databases, especially MySQL. It had always been my goto choice, perfect for building normalized data structures, enforcing declarative constants, providing referential integrity, and enabling ACID-compliant transactions. Plus the elegance of SQL (structured query language) makes organizing, retrieving and updating your data drop dead simple.

But now we have SERVERLESS. And Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) scale almost infinitely by creating separate instances for each concurrent user. This is a MAJOR PROBLEM for RDBS solutions like MySQL, because available connections can be quickly maxed out by concurrent functions competing for access. Reusing database connections doesn’t help, and even the release of Aurora Serverless doesn’t solve the max_connections problem. Sure there are some tricks we can use to mitigate the problem, but ultimately, using MySQL with serverless is a massive headache.

Well, maybe not anymore. 😀 I’ve been dealing with MySQL scaling issues and serverless functions for years now, and I’ve finally incorporated all of my learning into a simple, easy to use NPM module that (I hope) will solve your Serverless MySQL problems.

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