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• aws-lambda-power-tuning

  36 5,145 8.7 JavaScript

  AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

Since it relies on an external API call, it does take a while to execute (1.285 seconds on average), which is very inefficient, and despite throwing Lambda Power Tuning at the problem, it's purely an external dependency issue, and can't be resolved by resources. You could make it more cost-effective using AWS Step Functions to handle the OpenAI API call asyncrhonously, but I didn't worry for this project.

• aws-lambda-java-libs

  300 505 6.7 C++

  Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

  

AWS Lambda handles the call to OpenAI's API. The function itself is quite simple, although the supporting Lambda Layer was significantly larger. Since OpenAI's API costs money, I've leveraged AWS Secrets Manager to keep my API Key secure. To make debugging less nightmarish (we'll see why!), Amazon CloudWatch provides a simple way to store my basic log files, and Amazon API Gateway gives an ability to retrieve them!

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• openai-python

  61 19,815 9.5 Python

  The official Python library for the OpenAI API

  

The openai-python library makes interacting with the API a breeze. Although at 112MB fully installed, including requests, numpy, and pandas, it's pretty beefy. Consolidating it into a Lambda Layer made it simple and easy to manage. numpy didn't appreciate running in Lambda after being loaded for my Windows machine, so you may need to specify the right package before building the layer.

• connectGPT

  1 5 10.0 Python

  Mini project connecting OpenAI to Amazon Connect, full details and link in README

Just 49 lines of code. That's all of the Python code, including comments, which I had to write for Lambda to make this work, all available on GitHub. Everything else was configuring the existing services. In fact, it can be compacted down into less than 10 lines of code, though substantially harder to read.

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