A tool for building identical machine images for multiple platforms from a single source configuration

Overview

Packer

Build Status Discuss PkgGoDev GoReportCard

HashiCorp Packer logo

Packer is a tool for building identical machine images for multiple platforms from a single source configuration.

Packer is lightweight, runs on every major operating system, and is highly performant, creating machine images for multiple platforms in parallel. Packer comes out of the box with support for many platforms, the full list of which can be found at https://www.packer.io/docs/builders.

Support for other platforms can be added via plugins.

The images that Packer creates can easily be turned into Vagrant boxes.

Quick Start

Note: There is a great introduction and getting started guide for those with a bit more patience. Otherwise, the quick start below will get you up and running quickly, at the sacrifice of not explaining some key points.

First, download a pre-built Packer binary for your operating system or compile Packer yourself.

After Packer is installed, create your first template, which tells Packer what platforms to build images for and how you want to build them. In our case, we'll create a simple AMI that has Redis pre-installed.

Save this file as quick-start.pkr.hcl. Export your AWS credentials as the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables.

variable "access_key" {
  type    = string
  default = "${env("AWS_ACCESS_KEY_ID")}"
}

variable "secret_key" {
  type    = string
  default = "${env("AWS_SECRET_ACCESS_KEY")}"
}

locals { timestamp = regex_replace(timestamp(), "[- TZ:]", "") }

source "amazon-ebs" "quick-start" {
  access_key    = "${var.access_key}"
  ami_name      = "packer-example ${local.timestamp}"
  instance_type = "t2.micro"
  region        = "us-east-1"
  secret_key    = "${var.secret_key}"
  source_ami    = "ami-af22d9b9"
  ssh_username  = "ubuntu"
}

build {
  sources = ["source.amazon-ebs.quick-start"]
}

Next, tell Packer to build the image:

$ packer build quick-start.pkr.hcl
...

Packer will build an AMI according to the "quick-start" template. The AMI will be available in your AWS account. To delete the AMI, you must manually delete it using the AWS console. Packer builds your images, it does not manage their lifecycle. Where they go, how they're run, etc., is up to you.

Documentation

Comprehensive documentation is viewable on the Packer website at https://www.packer.io/docs.

Contributing to Packer

See CONTRIBUTING.md for best practices and instructions on setting up your development environment to work on Packer.

Unmaintained Plugins

As contributors' circumstances change, development on a community maintained plugin can slow. When this happens, the Packer team may mark a plugin as unmaintained, to clearly signal the plugin's status to users.

What does unmaintained mean?

  1. The code repository and all commit history will still be available.
  2. Documentation will remain on the Packer website.
  3. Issues and pull requests are monitored as a best effort.
  4. No active development will be performed by the Packer team.

If anyone form them community is interested in maintaining a community supported plugin, please feel free to submit contributions via a pull- request for review; reviews are generally prioritized over feature work when possible. For a list of open plugin issues and pending feature requests see the Packer Issue Tracker.

Owner
I respect all customers.
null
On-line Machine Learning in Go (and so much more)

goml Golang Machine Learning, On The Wire goml is a machine learning library written entirely in Golang which lets the average developer include machi

Conner DiPaolo 1.3k Jun 30, 2022
Gorgonia is a library that helps facilitate machine learning in Go.

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily

Gorgonia 4.5k Jun 26, 2022
Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.

package ml - Machine Learning Libraries ###import "github.com/alonsovidales/go_ml" Package ml provides some implementations of usefull machine learnin

Alonso Vidales 193 Jun 23, 2022
Gorgonia is a library that helps facilitate machine learning in Go.

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily

Gorgonia 4.5k Jun 26, 2022
Prophecis is a one-stop machine learning platform developed by WeBank

Prophecis is a one-stop machine learning platform developed by WeBank. It integrates multiple open-source machine learning frameworks, has the multi tenant management capability of machine learning compute cluster, and provides full stack container deployment and management services for production environment.

WeBankFinTech 344 Jun 22, 2022
Go Machine Learning Benchmarks

Benchmarks of machine learning inference for Go

Nikolay Dubina 23 May 27, 2022
Deploy, manage, and scale machine learning models in production

Deploy, manage, and scale machine learning models in production. Cortex is a cloud native model serving platform for machine learning engineering teams.

Cortex Labs 7.8k Jun 21, 2022
A High-level Machine Learning Library for Go

Overview Goro is a high-level machine learning library for Go built on Gorgonia. It aims to have the same feel as Keras. Usage import ( . "github.

AUNUM 300 Jun 16, 2022
Standard machine learning models

Cog: Standard machine learning models Define your models in a standard format, store them in a central place, run them anywhere. Standard interface fo

Replicate 2.6k Jun 30, 2022
Katib is a Kubernetes-native project for automated machine learning (AutoML).

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architec

Kubeflow 1.2k Jun 23, 2022
PaddleDTX is a solution that focused on distributed machine learning technology based on decentralized storage.

中文 | English PaddleDTX PaddleDTX is a solution that focused on distributed machine learning technology based on decentralized storage. It solves the d

null 58 Jun 23, 2022
Self-contained Machine Learning and Natural Language Processing library in Go

Self-contained Machine Learning and Natural Language Processing library in Go

NLP Odyssey 1.2k Jun 24, 2022
A demo for building recordings from landmark information provided by media pipe

Landmark Recordings A demo for building recordings from landmark information pro

Recolude 3 Jun 11, 2022
An iterative algorithm to generate high-quality triangulated images.

An iterative algorithm to generate high quality triangulated images. Introduction Triangula uses a modified genetic algorithm to triangulate images. I

null 3.7k Jun 27, 2022
Object detection on multiple datasets with an automatically learned unified label space.

An object detector trained on multiple large-scale datasets with a unified label space; Winning solution of ECCV 2020 Robust Vision Challenges.

Xingyi Zhou 366 Jun 24, 2022
An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy

Click to take a quick look at our demos! Image search Chatbots Chemical structure search Milvus is an open-source vector database built to power AI ap

The Milvus Project 11.1k Jun 26, 2022
Open-source software engineering competency and career plans.

Software Engineering Competency Matrix This repository contains an "Open Competency Matrix" for Software Engineers. It includes a standard data struct

null 15 Jun 1, 2022
Spice.ai is an open source, portable runtime for training and using deep learning on time series data.

Spice.ai Spice.ai is an open source, portable runtime for training and using deep learning on time series data. ⚠️ DEVELOPER PREVIEW ONLY Spice.ai is

Spice.ai 738 Jun 21, 2022
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

End-to-end computer vision platform Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises. onepa

Onepanel, Inc. 605 Jun 24, 2022