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Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.
13,072
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
There are 41 alternatives to Packer
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Packer is used in 73 countries
Technology
is any of
Packer
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Packaging And Containers Manufacturing | 10K | $3B | Packer | |
Manufacturing |
| Packer | |||
United States | Food And Beverage Manufacturing | 1.6K | $571M | Packer | |
Canada | Transportation, Logistics, Supply Chain And Storage | 1K |
| Packer | |
United States | Food And Beverage Manufacturing | 11K |
| Packer | |
United Kingdom | Utilities | 1K |
| Packer | |
United States | Machinery Manufacturing | 11K | $5.2B | Packer | |
Australia | Software Development | 250 | $36M | Packer | |
| Packer | ||||
United States | Appliances, Electrical, And Electronics Manufacturing | 238K | $32B | Packer |
We have data on 13,072 companies that use Packer. Our Packer customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Packer is a popular open-source tool used in the realm of Infrastructure Build Tools. It is designed to automate the process of creating identical machine images for multiple platforms from a single source configuration. Packer enables developers and system administrators to create portable and reproducible machine images that can be deployed across various environments efficiently. By using Packer, organizations can streamline their infrastructure provisioning processes and ensure consistency in their deployments.
Packer falls under the category of Infrastructure Build Tools, which focuses on automating the creation of infrastructure components such as servers, virtual machines, and containers. These tools play a crucial role in DevOps practices by enabling teams to define infrastructure as code and manage it programmatically. In the case of Packer, it specifically targets the image creation aspect of infrastructure provisioning, helping teams standardize their development, testing, and production environments.
Packer was founded in 2013 by HashiCorp, a company at the forefront of developing innovative tools for modern infrastructure management. The motivation behind Packer's creation was to address the challenges associated with manual image creation and configuration drift in diverse environments. HashiCorp aimed to simplify the process of building machine images that are ready to be deployed across different platforms, ultimately enhancing the agility and reliability of infrastructure operations.
In terms of market share, Packer has established itself as a prominent player in the Infrastructure Build Tools category. With the rising adoption of DevOps practices and cloud-native technologies, the demand for efficient image creation and management tools like Packer is expected to grow. As organizations increasingly prioritize automation and consistency in their infrastructure workflows, Packer is well-positioned to expand its market share and play a key role in shaping the future of infrastructure provisioning.
You can access an updated list of companies using Packer by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 13,072 companies that use Packer.
Packer is used by a diverse range of organizations across various industries, including "Packaging And Containers Manufacturing", "Manufacturing", "Food And Beverage Manufacturing", "Transportation, Logistics, Supply Chain And Storage", "Food And Beverage Manufacturing", "Utilities", "Machinery Manufacturing", "Software Development", "Appliances, Electrical, And Electronics Manufacturing". For a comprehensive list of all industries utilizing Packer, please visit TheirStack.com.
Some of the companies that use Packer include Dart Container, CORNELIUS MANUFACTURING DE MEXICO SA DE CV, Shearer's Foods, Intelcom | Dragonfly, Campbell's, Octopus Energy, Pactiv Evergreen, Whispir, ULTIMATE DONUT & COFFEE (M) SDN BHD, Jabil and many more. You can find a complete list of 13,072 companies that use Packer on TheirStack.com.
Based on our data, Packer is most popular in United States (3,071 companies), United Kingdom (1,166 companies), Canada (310 companies), Australia (282 companies), France (252 companies), Germany (156 companies), India (137 companies), Netherlands (101 companies), Spain (97 companies), Singapore (69 companies). However, it is used by companies all over the world.
You can find companies using Packer by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.