AWS CloudFormation vs Octopus Deploy

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AWS CloudFormation

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AWS CloudFormation vs Octopus Deploy: What are the differences?

  1. Deployment Automation: AWS CloudFormation is primarily a tool for provisioning and managing AWS infrastructure in a repeatable manner, whereas Octopus Deploy focuses on application deployment and configuration management across various environments.
  2. Platform Support: While AWS CloudFormation is specific to AWS services and resources, Octopus Deploy can deploy applications to a variety of platforms including cloud-based services, on-premises servers, and containers.
  3. Granularity of Control: AWS CloudFormation operates at a lower level of infrastructure abstraction, allowing for detailed control and customization of resources, whereas Octopus Deploy abstracts away much of the underlying infrastructure complexity, focusing more on application deployment workflows.
  4. Community and Ecosystem: Octopus Deploy boasts a strong community and ecosystem with numerous plugins and integrations available, enabling users to extend its capabilities easily, while AWS CloudFormation's ecosystem is more AWS-centric.
  5. Cost Model: AWS CloudFormation pricing is based on the resources provisioned and managed within AWS, whereas Octopus Deploy follows a subscription-based pricing model depending on the number of targets and instances being managed.
  6. Role-based Access Control: Octopus Deploy offers more elaborate role-based access control (RBAC) features for fine-grained permission management, whereas AWS CloudFormation's access control is more closely integrated with AWS Identity and Access Management (IAM).

In Summary, AWS CloudFormation is focused on infrastructure provisioning and management within AWS, while Octopus Deploy specializes in application deployment workflows across various platforms with a stronger emphasis on community support and role-based access control.

Decisions about AWS CloudFormation and Octopus Deploy

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

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Sergey Ivanov
Overview

We use Terraform to manage AWS cloud environment for the project. It is pretty complex, largely static, security-focused, and constantly evolving.

Terraform provides descriptive (declarative) way of defining the target configuration, where it can work out the dependencies between configuration elements and apply differences without re-provisioning the entire cloud stack.

Advantages

Terraform is vendor-neutral in a way that it is using a common configuration language (HCL) with plugins (providers) for multiple cloud and service providers.

Terraform keeps track of the previous state of the deployment and applies incremental changes, resulting in faster deployment times.

Terraform allows us to share reusable modules between projects. We have built an impressive library of modules internally, which makes it very easy to assemble a new project from pre-fabricated building blocks.

Disadvantages

Software is imperfect, and Terraform is no exception. Occasionally we hit annoying bugs that we have to work around. The interaction with any underlying APIs is encapsulated inside 3rd party Terraform providers, and any bug fixes or new features require a provider release. Some providers have very poor coverage of the underlying APIs.

Terraform is not great for managing highly dynamic parts of cloud environments. That part is better delegated to other tools or scripts.

Terraform state may go out of sync with the target environment or with the source configuration, which often results in painful reconciliation.

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I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
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Pros of AWS CloudFormation
Pros of Octopus Deploy
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Atomic
  • 3
    Infrastructure as code
  • 1
    CDK makes it truly infrastructure-as-code
  • 1
    Automates Infrastructure Deployment
  • 0
    K8s
  • 30
    Powerful
  • 25
    Simplicity
  • 20
    Easy to learn
  • 17
    .Net oriented
  • 14
    Easy to manage releases and rollback
  • 8
    Allows multitenancy
  • 4
    Nice interface

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Cons of AWS CloudFormation
Cons of Octopus Deploy
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
  • 4
    Poor UI
  • 2
    Config & variables not versioned (e.g. in git)
  • 2
    Management of Config

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What is 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.

What is Octopus Deploy?

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

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What companies use AWS CloudFormation?
What companies use Octopus Deploy?
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What tools integrate with AWS CloudFormation?
What tools integrate with Octopus Deploy?

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What are some alternatives to AWS CloudFormation and Octopus Deploy?
AWS CodeDeploy
AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
Chef
Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
Terraform
With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
AWS Config
AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting.
See all alternatives