Upload files to AWS S3
This page explains how to upload files to AWS S3 with FluentCI.
Before you begin
The instructions on this page assume that you are familiar with AWS S3
. In addition:
- Have your project ready, including the files you want to upload.
- Have an AWS account.
- Have an AWS S3 Bucket.
- Have an AWS Access Key.
- Have an AWS Secret Key.
Using the S3 Plugin
You can use FluentCI to upload files to AWS S3 using the r2-sync plugin, no need to install AWS CLI on your machine, FluentCI will handle everything for you.
The following command can be used to upload files to AWS S3
:
# Make sure to set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables
fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
CI/CD pipeline integrations
The following examples show how to integrate FluentCI with popular CI providers to upload files to AWS S3:
- Github Actions
- GitLab CI
- Circle CI
- Azure Pipelines
- AWS CodePipeline
ci.yml
name: ci
on:
push:
branches:
- main
jobs:
tasks:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Setup Fluent CI
uses: fluentci-io/setup-fluentci@v5
- name: upload
run: fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
ENDPOINT_URL: ${{ env.ENDPOINT_URL }}
BUCKET_NAME: ${{ env.BUCKET_NAME }}
.gitlab-ci.yml
.docker:
image: denoland/deno:debian-1.42.4
services:
- docker:${DOCKER_VERSION}-dind
variables:
DOCKER_HOST: tcp://docker:2376
DOCKER_TLS_VERIFY: "1"
DOCKER_TLS_CERTDIR: /certs
DOCKER_CERT_PATH: /certs/client
DOCKER_DRIVER: overlay2
DOCKER_VERSION: 20.10.16
GITLAB_ACCESS_TOKEN: $GITLAB_ACCESS_TOKEN
AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
ENDPOINT_URL: $ENDPOINT_URL
BUCKET_NAME: $BUCKET_NAME
.fluentci:
extends: .docker
before_script:
- apt-get update
- apt-get install -y curl tar gzip ca-certificates openssl git unzip libncursesw6
- deno install -A -r https://cli.fluentci.io -n fluentci
- fluentci --version
- curl -L https://dl.dagger.io/dagger/install.sh | DAGGER_VERSION=0.12.3 sh
- mv bin/dagger /usr/local/bin
- dagger version
upload:
extends: .fluentci
script:
- fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
.circleci/config.yml
version: 2.1
jobs:
job:
steps:
- checkout
- run: |
sudo apt-get update && sudo apt-get install -y curl unzip
curl -fsSL https://cli.fluentci.io | bash
fluentci --version
name: Setup FluentCI
- run: fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
name: upload
machine:
image: ubuntu-2004:2023.07.1
workflows:
fluentci:
jobs:
- job
azure-pipelines.yml
trigger:
- main
pool:
vmImage: ubuntu-latest
steps:
- script: |
curl -fsSL https://cli.fluentci.io | bash
fluentci --version
echo "##vso[task.prependpath]${HOME}/.deno/bin
displayName: Setup FluentCI
- script: fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
displayName: upload
buildspec.yml
version: 0.2
phases:
install:
commands:
- curl -fsSL https://cli.fluentci.io | bash
- fluentci --version
build:
commands:
- fluentci run --wasm r2-sync upload --endpoint-url $ENDPOINT_URL s3://$BUCKET_NAME
post_build:
commands:
- echo Build completed on `date`