Comments (3)
AWS lambda and R ref links
- Analyzing Genomics Data at Scale using R, AWS Lambda, and Amazon API Gateway
- Extracting Video Metadata using Lambda and Mediainfo
- Run ML predictions with R on AWS Lambda
- Lambda R Survival Statistics
- Serverless-Data-Product
- list of AWS actions
from aws-lambda-r.
ideas:
logging
use python logging: http://docs.aws.amazon.com/lambda/latest/dg/python-logging.htmlwrite input_json, output_json ?log other errors (e.g. R failures) ?- per 12 factors, keep it simple, let R code write to stderr stdout then collect and analyze (if needed)
CI
- TravisCI ?
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hack to increase the deployment size:
- check that R is installed from source
- install R in the normal place, but install lib in temp, e.g.,
/tmp/lib
- create two zips, one for
/tmp/lib
, save both to S3 - in Python, connect to lib zip (but do not save to disk), unzip in memory, write file in /tmp; then call R
- speedup: check if already present in /tmp (hash?)
- check /tmp is empty
- pro: max usage of /tmp 512MB unzipped for R lib; con: slower starts
- add option to save R lib to /tmp (let user decide)
from aws-lambda-r.
Related Issues (20)
- check size of files within zip
- lambda only, no api
- setup lambda / api scripts HOT 2
- fail if AWS cannot update lambda / API gateway
- detailed documentation
- use a bash ini processor to load & save settings HOT 2
- Automatically Integrate API Gateway with Cloud Watch
- return images (PNG) not only JSON HOT 2
- error creating Lambda Role HOT 3
- Error on transferring Python 3.6 to custom image HOT 3
- Understand EC2 needs HOT 2
- reconsider building packages via docker? HOT 1
- Running setup_user.sh PRJ_NAME: command not found HOT 7
- Which is the best way to install R packages? HOT 4
- Call resources from within the R script? HOT 2
- secrets in echo/log HOT 1
- fail if yum cannot install linux packages
- fail if R cannot install packages
- install R packages from github
- better R application
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