List of Amazon CloudFormation Customers
Seattle, 98109, WA,
United States
Since 2010, our global team of researchers has been studying Amazon CloudFormation customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon CloudFormation for Infrastructure as Code (IaC) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon CloudFormation for Infrastructure as Code (IaC) include: General Motors, a United States based Automotive organisation with 162000 employees and revenues of $187.44 billion, Walgreens Boots Alliance, a United States based Retail organisation with 312000 employees and revenues of $147.70 billion, PepsiCo, a United States based Consumer Packaged Goods organisation with 319000 employees and revenues of $91.85 billion, U.S Department of Transportation, a United States based Government organisation with 54000 employees and revenues of $76.00 billion, Lockheed Martin, a United States based Aerospace and Defense organisation with 121000 employees and revenues of $71.04 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon CloudFormation, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon CloudFormation customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
American Express | Banking and Financial Services | 75100 | $65.9B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2021 | n/a |
In 2021 American Express deployed Amazon CloudFormation to codify and automate infrastructure provisioning, operating within the Apps Category . The deployment targeted Global Business Travel workloads with engineering execution centered in Bothell, WA, and emphasized repeatable stack definitions for development, test, and production environments.
The implementation used Amazon CloudFormation templates as the primary infrastructure as code artifact, with parameterized templates and custom launch templates to standardize EC2 and network provisioning. Configuration work included modular stack design and template-driven orchestration to manage compute, storage, and platform resources across environments.
Integrations were implemented with a broad set of AWS services that supported the stacks, including EC2, S3, Elastic Load Balancer, ECS, EKS, RDS, Elastic Beanstalk, CloudFront, VPC, CloudWatch, FSx, Lambda, Transfer for SFTP, Route53, SNS, SQS, EventBridge, Certificate Manager, Trusted Advisor, AWS Organizations, SCP, Cost Explorer, and the AWS CLI. Toolchain and configuration management tie-ins included Jenkins for CI CD pipeline automation, Bitbucket and Subversion for version control, Ansible playbooks, Puppet masters and agents, Chef, Docker and Kubernetes for container workflows, and build tooling such as Maven and Ant.
Governance and operational controls leaned on infrastructure as code best practices with template versioning in source control and pipeline-driven deployments using Jenkins, and account-level guardrails enforced through AWS Organizations and service control policies. Ongoing configuration management and maintenance used Puppet and Ansible to manage node state, while CloudFormation stacks provided the authoritative record of provisioned resources and supported automated change management workflows.
|
|
|
AQR Capital Management | Banking and Financial Services | 573 | $250M | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2020 | n/a |
In 2020, AQR Capital Management implemented Amazon CloudFormation to codify and automate AWS infrastructure provisioning, Amazon CloudFormation is the central tooling for template-driven resource deployment and drift remediation, Apps Category . The initial implementation focuses on cloud automation patterns and repeatable infrastructure stacks rather than ad hoc console changes.
The implementation includes CloudFormation templates that provision EC2, Load Balancer, Lambda, Networking, ECS, Kinesis, Batch, DynamoDB, PostgreSQL, RabbitMQ and Service Catalog constructs. Engineers developed custom resource handlers in Python using Boto3 and executed them in AWS Lambda to extend CloudFormation capabilities for nonstandard resource lifecycle operations, and the team modeled infrastructure offerings as LoadBalancer As A Service, Platform As A Service, Event Bridge As A Service and Lambda As A Service.
Toolchain and integrations are explicit, with CI/CD pipelines orchestrated in Jenkins using Groovy, source code managed in GitHub and work tracked in Jira. Service Catalog is used alongside CloudFormation to standardize stack provisioning and to present curated infrastructure products to internal consumers, while Lambda-backed custom resources provide runtime integration points for external configuration tasks.
Operational ownership resides with Cloud Engineer teams who have run the environment in a hybrid model since November 2020, with responsibilities spanning template authoring, custom resource development, and pipeline automation. Governance and workflow changes emphasize template review, CI/CD promotion gates and Service Catalog published artifacts to enforce consistent provisioning patterns and reduce manual configuration steps.
|
|
|
BMO US | Banking and Financial Services | 12000 | $7.4B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2016 | n/a |
In 2016 BMO Bank implemented Amazon CloudFormation to standardize and codify AWS infrastructure for its cloud data platform, Apps Category: . Amazon CloudFormation served as the infrastructure as code engine to provision and manage the AWS resources that underpinned the bank's Cloud Data Lake and cloud data warehouse initiatives.
Amazon CloudFormation templates encoded provisioning for Amazon S3 storage, Amazon Redshift clusters, AWS Glue ETL jobs, and AWS Lambda functions, and were used to enforce naming conventions, IAM role creation, and repeatable environment stacks for development, testing and production. The implementation emphasized template-driven configuration and orchestration to ensure consistent infrastructure patterns across data ingestion and processing pipelines.
CloudFormation stacks provisioned the AWS side of integrations with Cloudera Data Lake and Kafka for real-time Party Master publishing, and supported downstream analytics targets including Amazon Redshift and Snowflake, with BI consumption through OBIEE and Tableau. Informatica and Python based data transformation workflows were represented in the platform architecture and operated alongside AWS Glue and Lambda as part of the end-to-end ingestion and transformation topology.
The implementation aligned with the Data Guild reference architecture and the Data Playbook, and supported data governance policies and procedures produced in conjunction with the CDO office. Amazon CloudFormation enabled infrastructure as code governance and consistent environment provisioning, which complemented the enterprise Data and Analytics architecture for Retail and Commercial lines of business and Digital Channels, and contributed to the organizations efforts to accelerate self service BI adoption and conforming data models for the data warehouse bus architecture.
|
|
|
|
Banking and Financial Services | 76300 | $39.1B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2020 | n/a |
|
|
|
|
Banking and Financial Services | 17398 | $8.2B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2017 | n/a |
|
|
|
|
Banking and Financial Services | 2500 | $1.5B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2017 | n/a |
|
|
|
|
Transportation | 103000 | $61.6B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2022 | n/a |
|
|
|
|
Banking and Financial Services | 350 | $100M | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2020 | n/a |
|
|
|
|
Banking and Financial Services | 5100 | $2.5B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2018 | n/a |
|
|
|
|
Oil, Gas and Chemicals | 24000 | $12.4B | United States | Amazon Web Services (AWS) | Amazon CloudFormation | Infrastructure as Code (IaC) | 2020 | n/a |
|
Buyer Intent: Companies Evaluating Amazon CloudFormation
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||