List of HashiCorp Terraform Customers
San Francisco, 94105, CA,
United States
Since 2010, our global team of researchers has been studying HashiCorp Terraform 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 HashiCorp Terraform for Robotic Process Automation 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 HashiCorp Terraform for Robotic Process Automation include: U.S Department of Transportation, a United States based Government organisation with 54000 employees and revenues of $76.00 billion, J Sainsbury, a United Kingdom based Retail organisation with 141517 employees and revenues of $43.81 billion, Molina Healthcare, a United States based Healthcare organisation with 18000 employees and revenues of $40.65 billion, KDDI, a Japan based Communications organisation with 64636 employees and revenues of $38.68 billion, Larsen & Toubro, a India based Manufacturing organisation with 59344 employees and revenues of $26.43 billion and many others.
Contact us if you need a completed and verified list of companies using HashiCorp Terraform, 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 HashiCorp Terraform 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Altair Engineering | Professional Services | 3300 | $666M | United States | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2018 | n/a |
In 2018 Altair Engineering implemented HashiCorp Terraform as part of its Robotic Process Automation strategy to codify infrastructure and automate provisioning across development and production pipelines. The deployment centered on Terraform modules authored to provision AWS compute and orchestration layers, with explicit use of HashiCorp Terraform to define repeatable infrastructure for EC2 instances and EKS clusters.
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Amtrak | Transportation | 22400 | $3.6B | United States | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2020 | n/a |
In 2020, Amtrak implemented HashiCorp Terraform as part of a Robotic Process Automation initiative to codify infrastructure provisioning and standardize pipelines-as-code across its DevOps organization. The implementation centered on using HashiCorp Terraform to translate environment specifications into versioned infrastructure-as-code artifacts, aligning infrastructure delivery with CI/CD workflows to support faster, more reliable artifact promotion to production.
HashiCorp Terraform was configured to support modular infrastructure patterns and reusable components, with an emphasis on Infrastructure as Code, pipelines-as-code, and documentation-as-code. Functional capabilities implemented included codified environment provisioning, modular IaC libraries for repeatable network and compute constructs, and automation of environment lifecycles to be invoked from CI/CD pipelines. The implementation also encompassed pipeline orchestration practices using Jenkins Pipeline, GitHub Actions, and GitLab CI as part of build and deploy automation.
Integrations explicitly included AWS CloudFormation and Ansible in conjunction with Terraform, and the deployment approach accounted for multi-cloud considerations, with AWS noted as the preferred cloud and Azure and GCP referenced for platform familiarity. Operational scope covered software engineering and IT operations teams, with on site work locations identified in Washington, D.C., Philadelphia, PA, Wilmington, DE, and Chicago, IL, and responsibilities extending to cross-functional teams that manage code, builds, and runtime environments.
Governance and rollout incorporated Documentation as Code, unit and integration testing regimens, and security and compliance controls embedded into pipelines, including SAST, DAST, secret scanning, and Software Bill of Materials creation. The program included creation of developer enablement artifacts and portals to accelerate team onboarding, and established pipeline security tollgates and reporting practices for build health and security posture. The stated objective of the HashiCorp Terraform implementation was to improve efficiency and reliability of deployments while enforcing consistent infrastructure standards across Amtrak engineering teams.
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Anthropic | Professional Services | 1000 | $990M | United States | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2022 | n/a |
In 2022, Anthropic implemented HashiCorp Terraform. The deployment positioned HashiCorp Terraform inside Robotic Process Automation workflows to codify cloud infrastructure that underpins large scale machine learning research and model serving.
Configuration centered on infrastructure as code modules for compute provisioning, network architecture, Kubernetes cluster lifecycle management, and load balancing configuration. Terraform templates were used to codify provisioning for a Kubernetes cluster with thousands of nodes, to define fault tolerant infrastructure patterns, and to capture operational monitoring playbooks and alerting runbooks.
Integrations focused on Kubernetes orchestration and the cloud deployment, with Terraform used to provision node pools, networks, and load balancers while aligning with existing monitoring and alerting tooling. Operational coverage spanned infrastructure engineering and research machine learning teams, with engineers pairing to tune infrastructure for serving large ML models and to optimize high performance networking strategies.
Governance and rollout were led by senior infrastructure engineering ownership, including responsibility to migrate a cloud deployment to Terraform, document reusable Terraform modules, and embed infrastructure changes into research workflows. The implementation emphasized reproducible infrastructure as code, modular HashiCorp Terraform configuration, and playbooks for cluster incident response to support Anthropic research and production operations.
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Banking and Financial Services | 43094 | $13.4B | Australia | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2016 | n/a |
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Banking and Financial Services | 3381 | $2.2B | Philippines | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2018 | n/a |
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Banking and Financial Services | 1000 | $150M | Mexico | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2021 | n/a |
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Construction and Real Estate | 55000 | $22.0B | United States | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2016 | n/a |
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Professional Services | 1915 | $452M | United States | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2018 | n/a |
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Retail | 24000 | $11.3B | United Kingdom | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2019 | n/a |
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Banking and Financial Services | 20203 | $8.8B | Denmark | HashiCorp | HashiCorp Terraform | Robotic Process Automation | 2020 | n/a |
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Buyer Intent: Companies Evaluating HashiCorp Terraform
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