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AWS CloudFormation vs Visual Studio Team Services: What are the differences?

Introduction

In this analysis, we will explore the key differences between AWS CloudFormation and Visual Studio Team Services (VSTS) for website development.

  1. Deployment Process: AWS CloudFormation provides infrastructure as code to automate the deployment of infrastructure resources in a systematic manner. It allows you to define templates that describe resources and their configuration. On the other hand, VSTS offers a complete CI/CD pipeline solution, including code repository, build, and release management. While CloudFormation focuses on infrastructure provisioning, VSTS covers the entire development lifecycle.

  2. Platform Compatibility: AWS CloudFormation is specifically designed for managing resources within the AWS ecosystem. It supports a wide range of AWS services and integrates well with other AWS tools and services. In contrast, VSTS is a more general-purpose platform that supports multiple cloud providers and can be used with both on-premises and cloud-based infrastructure. VSTS offers flexibility for managing resources across different cloud environments.

  3. Resource Definitions: CloudFormation templates use a declarative language to define infrastructure resources. With these templates, you can specify the desired state of the resources, and AWS handles the provisioning and deployment details automatically. On the other hand, VSTS uses a combination of declarative YAML pipelines and script-based tasks to define and deploy resources. VSTS offers more flexibility for customization and scripting but requires more configuration compared to CloudFormation.

  4. Scalability and Orchestration: AWS CloudFormation supports resource orchestration, allowing you to create complex stacks of resources with dependencies and perform updates and deletions in a controlled manner. It provides automatic scaling for certain types of resources, making it easier to handle dynamic workloads. In comparison, while VSTS supports scaling and orchestration to some extent, it primarily focuses on deployment and release management rather than resource provisioning.

  5. Cost Management: CloudFormation provides visibility into the estimated costs of deploying resources, allowing you to estimate and manage costs more accurately. It offers cost allocation tags, enabling you to track expenses across different projects or teams. On the other hand, VSTS does not provide specific cost management features and relies on integrating with other tools or services for cost monitoring and control.

  6. Ecosystem and Integration: AWS CloudFormation is tightly integrated with the broader AWS ecosystem, and it can leverage other AWS tools and services for tasks such as monitoring, logging, and security management. It seamlessly integrates with AWS Identity and Access Management (IAM) for resource-level permissions. VSTS, on the other hand, provides integrations with various third-party tools and services and can be used with different development and deployment platforms, providing more flexibility and enabling you to work with your preferred tools.

In Summary, while AWS CloudFormation focuses on infrastructure provisioning and resource management within the AWS ecosystem, Visual Studio Team Services (VSTS) offers a comprehensive CI/CD pipeline solution that covers the entire development lifecycle, provides platform compatibility across multiple cloud providers, and offers more customization and integration options.

Decisions about AWS CloudFormation and Azure DevOps

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 Azure DevOps
  • 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
  • 56
    Complete and powerful
  • 32
    Huge extension ecosystem
  • 27
    Azure integration
  • 26
    Flexible and powerful
  • 26
    One Stop Shop For Build server, Project Mgt, CDCI
  • 15
    Everything I need. Simple and intuitive UI
  • 13
    Support Open Source
  • 8
    Integrations
  • 7
    GitHub Integration
  • 6
    One 4 all
  • 6
    Cost free for Stakeholders
  • 6
    Project Mgmt Features
  • 5
    Crap
  • 5
    Runs in the cloud
  • 3
    Agent On-Premise(Linux - Windows)
  • 2
    Aws integration
  • 2
    Link Test Cases to Stories
  • 2
    Jenkins Integration
  • 1
    GCP Integration

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Cons of AWS CloudFormation
Cons of Azure DevOps
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
  • 8
    Still dependant on C# for agents
  • 5
    Many in devops disregard MS altogether
  • 4
    Capacity across cross functional teams not visibile
  • 4
    Not a requirements management tool
  • 4
    Half Baked
  • 3
    Jack of all trades, master of none
  • 3
    Poor Jenkins integration
  • 2
    Tedious for test plan/case creation

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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 Azure DevOps?

Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.

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What companies use AWS CloudFormation?
What companies use Azure DevOps?
See which teams inside your own company are using AWS CloudFormation or Azure DevOps.
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What tools integrate with AWS CloudFormation?
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What are some alternatives to AWS CloudFormation and Azure DevOps?
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