[ralph87]

Just for completeness, updating parent comment's Lambda estimates, not counting provisioned worker costs, and assuming no request takes more than 100 ms.

    Lambda requests: ((1.5e9 * 4) / 1e6) * .20     = $   1,200 
    Lambda CPU (1536 MB): 0.0000025000 * 1.5e9 * 4 = $  15,000
    API Gateway HTTP reqs:
        (count): 1.5e9 * 4 = (6 billion)
        (first 300m): 300 * 1.0                    = $     300
        (next 5700m): 5700 * 0.9                   = $   5,130

    LAMBDA MONTHLY TOTAL                           = $  21,630
    LAMBDA YEARLY TOTAL                            = $ 259,560

And for comparison:

     NLB (2x)
        (NLB hours 1 month):
           2 * 0.0225 * 24 * 30.45                 = $      33
        (NCLU hours):
           2 * (2280/50) * 0.006 * 24 * 30.45      = $     399

     NLB MONTHLY TOTAL                             = $     432
     NLB YEARLY TOTAL                              = $   5,184

     EC2 YEARLY
        (if  1 req/vCPU)                           = $ 253,926
        (if 15 reqs/vCPU)                          = $  67,704
        (if 30 reqs/vCPU)                          = $  33,852

Note the "1 req/vCPU" case would require requests to burn 250ms of pure CPU (i.e. not sleeping on IO) each -- which in an equivalent scenario would inflate the Lambda CPU usage by 3x due to the 100ms billing granularity, i.e. an extra $30,000/month.

That's an 87% reduction in operational costs in the ideal (and not uncommon!) case, and a minimum of a 59% reduction in the case of a web app from hell burning 250 ms CPU per request.

[dougmoscrop]

Totally agree. Lambda needs to 1/10 their costs or start billing for real CPU time and get rid of invocation overheads to really compete at these scales.

Now I have dozens of serverless projects for smaller use things because there is still a point where the gross costs just don't matter (as in, if my employer was worried about lambda vs EC2 efficiency, there are probably a few meetings we could cancel or trim the audience of that would make up for it.)

But not at this scale.