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State of Lambda functions in 2019 by Dashbird

Ever wondered what’s under the hood of your neighbors’ car, the situation in their wallet or the configuration of their serverless stack?

Well wonder no more! Today we will bring you the statistics of Dashbird so you could compare your Lambda functions with others. Unfortunately, the car and the wallet thingy you should figure out on your own :(

Let’s start… (I hope you like charts)

So how many functions do they have?

Out of 3000+ active Dashbird users, the average AWS account has 123 functions in total.

OK… pretty cool. But what about their runtime?

Runtimes

Seems that we have some Node.js people here at Dashbird.

Regions

As expected, us-east-1 and eu-west-1 are trending regions in Dashbird. But the cool fact is that over half of the Dashbird accounts use more than one region and almost 10% more than three regions.

Now, let’s look into the functions

We compared the performance indicators of the Lambda functions per runtime. Take a look at the results below.

Code size

Memory Size

Timeout

As we all know, Java takes lots of time to boot up, but once done it will operate like a charm.

X-ray is used by 17% percent of the times

X-Ray

How often do people modify their functions

Function Change

Conclusion

Next time we will bring you the statistics of errors, coldstarts, invocations, cost etc. Stay tuned! Meanwhile, you can sign up for a Dashbird account here.

A compilation of lessons learned at Dashbird after working with 4,000+ customers and 300,000+ Lambda functions

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