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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25 Serverless Peeps You Need To Follow

In my never ending quest to consume all things serverless, I often find myself scouring the Interwebs for new and interesting serverless articles, blog posts, videos, and podcasts. There are more and more people doing fascinating things with serverless every day, so finding content is becoming easier and easier. However, this increase in content comes with an increase in noise as well. Cutting through that noise isn’t always easy. 🙉

Great content with valuable insights

I personally love reading articles that introduce new use cases or optimizations for serverless. Stories about companies using serverless in production and how their architectures are set up are also extremely interesting.. I’ve been working in the serverless space for several years now, and have come across a number of people who produce and/or share really great content. I’ve put together a list of 25 people that I follow and enjoy their content regularly. Hopefully these people will help you learn to love serverless as much as I do. ❤️⚡️

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Event Injection: A New Serverless Attack Vector

As more and more developers and companies adopt serverless architecture, the likelihood of hackers exploiting these applications increases dramatically. The shared security model of cloud providers extends much further with serverless offerings, but application security is still the developer’s responsibility. There has been a lot of hype about #NoOPS with serverless environments 🤥, which is simply not true 😡. Many traditional applications are frontended with WAFs (web application firewalls), RASPs (runtime application self-protection), EPPs (endpoint protection platforms) and WSGs (web security gateways) that inspect incoming and outgoing traffic. These extra layers of protection can save developers from themselves when making common programming mistakes that would otherwise leave their applications vulnerable. With serverless, these all go away. 😳

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An Introduction to Serverless Architecture

I’ve been building web applications for nearly 20 years, and the most difficult problem has always been scaling the architecture to support heavy load. With the advent of cloud computing with services like Amazon Web Services and Google Cloud Platform, the cost of scaling has been dramatically reduced, but the same underlying problems of scaling still exist. When dealing with data, you still need to build complex methods of efficiently accessing records. These are challenges fit for cloud engineers, but not for your average group of developers. Several months ago Amazon Web Services released two new services. These services create a new paradigm that not only make it easier to create scalable applications in the cloud, but essentially eliminates any server maintenance. It has been coined, Serverless Architecture, and it could be the future of cloud computing.

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