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  5. Atlas vs OpenStack

Atlas vs OpenStack

OverviewComparisonAlternatives

Overview

OpenStack
OpenStack
Stacks790
Followers1.2K
Votes138
Atlas
Atlas
Stacks33
Followers125
Votes0

Atlas vs OpenStack: What are the differences?

# Key Differences between Atlas and OpenStack

Atlas and OpenStack are both popular cloud computing platforms with distinct differences that make each suitable for different use cases. Below are the key differences between Atlas and OpenStack.

1. **Scope of Usage**: Atlas is primarily designed for managing and deploying applications in a serverless environment, focusing on functions as a service (FaaS) and microservices. On the other hand, OpenStack is a robust infrastructure as a service (IaaS) platform that allows users to manage virtual machines, storage, and networking resources in a flexible and customizable manner.

2. **Hosting Environment**: Atlas is a fully managed service provided by MongoDB, which means users do not need to worry about infrastructure management and can focus solely on building and deploying their applications. OpenStack, on the other hand, is a self-managed open-source platform that requires users to have in-house expertise or rely on third-party services for deployment and maintenance.

3. **Vendor Lock-in**: Atlas is a proprietary product offered by MongoDB, which may limit users in terms of customization and integration with other technologies. In contrast, OpenStack is an open-source platform that provides users with more flexibility and control over their cloud infrastructure, reducing the risk of vendor lock-in.

4. **Community Support**: OpenStack has a large and active community of developers and users who contribute to the platform's development and provide support through forums and documentation. In comparison, Atlas, being a proprietary service, may have limited community support and resources available for troubleshooting and guidance.

5. **Scalability**: Atlas is designed to seamlessly scale applications up or down based on demand, providing an auto-scaling feature that optimizes resource utilization. OpenStack also supports scalability, but users need to ensure proper configuration and management of resources to achieve efficient scaling in complex environments.

6. **Cost Structure**: The cost structure of Atlas is typically based on usage metrics such as API requests and data storage, with pricing plans tailored to specific needs. In contrast, OpenStack is often favored for cost-conscious organizations due to its open-source nature, allowing for greater control over operational costs and the ability to optimize resource allocation according to budget constraints.

In Summary, the key differences between Atlas and OpenStack lie in their primary use cases, management approach, customization options, community support, scalability features, and cost structures.

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Detailed Comparison

OpenStack
OpenStack
Atlas
Atlas

OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

Compute;Storage;Networking;Dashboard;Shared Services
One command to develop any application: vagrant up;One command to deploy any application: vagrant push
Statistics
Stacks
790
Stacks
33
Followers
1.2K
Followers
125
Votes
138
Votes
0
Pros & Cons
Pros
  • 60
    Private cloud
  • 39
    Avoid vendor lock-in
  • 23
    Flexible in use
  • 7
    Industry leader
  • 5
    Robust architecture
No community feedback yet

What are some alternatives to OpenStack, Atlas?

Apache CloudStack

Apache CloudStack

CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Packer

Packer

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.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

VirtKick

VirtKick

Software as a service platform for hosting providers.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

Scalr

Scalr

Is a cost effective, drop-in replacement for Terraform Cloud, with feature parity and better GitOps support.

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