Alternatives to AWS Cloud Development Kit logo

Alternatives to AWS Cloud Development Kit

Terraform, AWS CloudFormation, Packer, Pulumi, and GeoEngineer are the most popular alternatives and competitors to AWS Cloud Development Kit.
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What is AWS Cloud Development Kit and what are its top alternatives?

It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.
AWS Cloud Development Kit is a tool in the Infrastructure Build Tools category of a tech stack.
AWS Cloud Development Kit is an open source tool with 7.9K GitHub stars and 2.1K GitHub forks. Here’s a link to AWS Cloud Development Kit's open source repository on GitHub

Top Alternatives to AWS Cloud Development Kit

  • Terraform

    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 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. ...

  • 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. ...

  • GeoEngineer

    GeoEngineer

    GeoEngineer uses Terraform to plan and execute changes, so the DSL to describe resources is similar to Terraform's. GeoEngineer's DSL also provides programming and object oriented features like inheritance, abstraction, branching and looping. ...

  • Yocto

    Yocto

    It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed. ...

  • 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. ...

  • Atlas

    Atlas

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

AWS Cloud Development Kit alternatives & related posts

Terraform logo

Terraform

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Describe your complete infrastructure as code and build resources across providers
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PROS OF TERRAFORM
  • 109
    Infrastructure as code
  • 72
    Declarative syntax
  • 44
    Planning
  • 27
    Simple
  • 24
    Parallelism
  • 7
    Cloud agnostic
  • 6
    Well-documented
  • 6
    It's like coding your infrastructure in simple English
  • 4
    Automates infrastructure deployments
  • 4
    Immutable infrastructure
  • 4
    Platform agnostic
  • 3
    Extendable
  • 3
    Automation
  • 3
    Portability
  • 2
    Lightweight
  • 2
    Scales to hundreds of hosts
CONS OF TERRAFORM
  • 1
    Doesn't have full support to GKE

related Terraform posts

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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Emanuel Evans
Senior Architect at Rainforest QA · | 16 upvotes · 706.6K views

We recently moved our main applications from Heroku to Kubernetes . The 3 main driving factors behind the switch were scalability (database size limits), security (the inability to set up PostgreSQL instances in private networks), and costs (GCP is cheaper for raw computing resources).

We prefer using managed services, so we are using Google Kubernetes Engine with Google Cloud SQL for PostgreSQL for our PostgreSQL databases and Google Cloud Memorystore for Redis . For our CI/CD pipeline, we are using CircleCI and Google Cloud Build to deploy applications managed with Helm . The new infrastructure is managed with Terraform .

Read the blog post to go more in depth.

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AWS CloudFormation logo

AWS CloudFormation

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Create and manage a collection of related AWS resources
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PROS OF AWS CLOUDFORMATION
  • 42
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Infrastructure as code
  • 3
    Atomic
  • 1
    Automates Infrastructure Deployment
  • 1
    CDK makes it truly infrastructure-as-code
CONS OF AWS CLOUDFORMATION
  • 4
    Brittle
  • 2
    No RBAC and policies in templates

related AWS CloudFormation posts

Joseph Kunzler
DevOps Engineer at Tillable · | 9 upvotes · 140.7K views

We use Terraform because we needed a way to automate the process of building and deploying feature branches. We wanted to hide the complexity such that when a dev creates a PR, it triggers a build and deployment without the dev having to worry about any of the 'plumbing' going on behind the scenes. Terraform allows us to automate the process of provisioning DNS records, Amazon S3 buckets, Amazon EC2 instances and AWS Elastic Load Balancing (ELB)'s. It also makes it easy to tear it all down when finished. We also like that it supports multiple clouds, which is why we chose to use it over AWS CloudFormation.

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I use Terraform because it hits the level of abstraction pocket of being high-level and flexible, and is agnostic to cloud platforms. Creating complex infrastructure components for a solution with a UI console is tedious to repeat. Using low-level APIs are usually specific to cloud platforms, and you still have to build your own tooling for deploying, state management, and destroying infrastructure.

However, Terraform is usually slower to implement new services compared to cloud-specific APIs. It's worth the trade-off though, especially if you're multi-cloud. I heard someone say, "We want to preference a cloud, not lock in to one." Terraform builds on that claim.

Terraform Google Cloud Deployment Manager AWS CloudFormation

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Packer logo

Packer

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Create identical machine images for multiple platforms from a single source configuration
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PROS OF PACKER
  • 27
    Cross platform builds
  • 9
    Vm creation automation
  • 4
    Bake in security
  • 1
    Good documentation
  • 1
    Easy to use
CONS OF PACKER
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    related Packer posts

    John Kodumal

    LaunchDarkly is almost a five year old company, and our methodology for deploying was state of the art... for 2014. We recently undertook a project to modernize the way we #deploy our software, moving from Ansible-based deploy scripts that executed on our local machines, to using Spinnaker (along with Terraform and Packer) as the basis of our deployment system. We've been using Armory's enterprise Spinnaker offering to make this project a reality.

    See more
    Pulumi logo

    Pulumi

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    14
    Modern Infrastructure as Code
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    PROS OF PULUMI
    • 5
      Infrastructure as code with less pain
    • 3
      Best-in-class kubernetes support
    • 1
      Can use many languages
    • 1
      Can be self-hosted
    • 1
      Built-in secret management
    • 1
      Simple
    • 1
      Multi-cloud
    • 1
      Great CLI
    CONS OF PULUMI
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      related Pulumi posts

      GeoEngineer logo

      GeoEngineer

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      Ruby DSL and DSL (geo) to codify then plan and execute changes to cloud resources, by Coinbase
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      PROS OF GEOENGINEER
        Be the first to leave a pro
        CONS OF GEOENGINEER
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          related GeoEngineer posts

          Yocto logo

          Yocto

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          An open Source embedded Linux build system
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          PROS OF YOCTO
            Be the first to leave a pro
            CONS OF YOCTO
              Be the first to leave a con

              related Yocto posts

              Habitat logo

              Habitat

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              5
              Application Automation framework by Chef
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              PROS OF HABITAT
              • 2
                Easy to use
              • 1
                Supervisor is great concept
              • 1
                Lightweight
              • 1
                Cross platform builds
              CONS OF HABITAT
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                related Habitat posts

                Atlas logo

                Atlas

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                Develop, deploy, and maintain your application anywhere. Use one console and one workflow from development to production
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                PROS OF ATLAS
                  Be the first to leave a pro
                  CONS OF ATLAS
                    Be the first to leave a con

                    related Atlas posts