Mark Wolfe wolfeidau
| frozen_string_literal: true | |
| # A leaky bucket rate limiter for Ruby | |
| # | |
| # @see https://www.mikeperham.com/2020/11/09/the-leaky-bucket-rate-limiter/ | |
| # @see https://en.wikipedia.org/wiki/Leaky_bucket | |
| class RateLimit | |
| class Error < StandardError | |
| attr_accessor :retry_in |
| # This is a modified version of TRL's `SFTTrainer` example (https://github.com/huggingface/trl/blob/main/examples/scripts/sft_trainer.py), | |
| # adapted to run with DeepSpeed ZeRO-3 and Mistral-7B-V1.0. The settings below were run on 1 node of 8 x A100 (80GB) GPUs. | |
| # | |
| # Usage: | |
| # - Install the latest transformers & accelerate versions: `pip install -U transformers accelerate` | |
| # - Install deepspeed: `pip install deepspeed==0.9.5` | |
| # - Install TRL from main: pip install git+https://github.com/huggingface/trl.git | |
| # - Clone the repo: git clone github.com/huggingface/trl.git | |
| # - Copy this Gist into trl/examples/scripts | |
| # - Run from root of trl repo with: accelerate launch --config_file=examples/accelerate_configs/deepspeed_zero3.yaml --gradient_accumulation_steps 8 examples/scripts/sft_trainer.py |
| #!/bin/sh | |
| sudo ps aux | grep Netskope | grep -v grep | awk '{ print "kill -9", $2 }' | sudo sh | |
| echo '[✓] Kill Netskope Process' | |
| sudo rm -rf /Applications/Remove\ Netskope\ Client.app | |
| echo '[✓] Removed Remove Netskope Client.app' | |
| sudo rm -rf /Library/Application\ Support/Netskope | |
| echo '[✓] Removed Agent of Netskope Client.app' |
| --- | |
| - hosts: localhost | |
| tasks: | |
| - name: Add Apt-Keys | |
| apt_key: | |
| url: '{{item.name}}' | |
| state: present | |
| with_items: |
| Title | Description
| package main | |
| import ( | |
| "fmt" | |
| "time" | |
| "github.com/aws/aws-sdk-go/aws" | |
| "github.com/aws/aws-sdk-go/aws/session" | |
| "github.com/aws/aws-sdk-go/service/athena" | |
| ) |
These are python 2 and 3 snippets showing how to generate headers to authenticate with HashiCorp's Vault using the AWS authentication method. There's also a Ruby implementation which uses version 3 of the AWS SDK for Ruby.
The python scripts look for credentials in the
default boto3 locations;
if you need to supply custom credentials (such as from an AssumeRole call), you would use the
botocore.session.set_credentials
method before calling create_client.
You can use CodePipeline and CodeBuild to create a continuous deployment/integration pipeline for serverless applications build on AWS Lambda and Amazon API Gateway. This sample application is written in Go with the Gin framework and uses the eawsy API Gateway proxy shim: https://github.com/eawsy/aws-lambda-go-net
We initially detailed our methodology in this blog post: https://aws.amazon.com/blogs/compute/continuous-deployment-for-serverless-applications/
We have used the shim technology created by eawsy to run Golang applications inside AWS Lambda (https://github.com/eawsy/aws-lambda-go-shim) and created a container that can be used with CodeBuild as part of our original pipeline template.
The container is available on DockerHub and is called sapessi/aws-lambda-go18-codebuild:latest. To use this container, simply change the Image property of the CodeBuild project environment.
The pipeline template, sample app, buildspec and SAM files are attached to this gist.
| package main | |
| import ( | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "strings" | |
| ) | |
| func main() { |