List of Amazon Elastic Container Service (ECS) Customers
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Since 2010, our global team of researchers has been studying Amazon Elastic Container Service (ECS) 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 Elastic Container Service (ECS) for Container Service 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 Elastic Container Service (ECS) for Container Service include: Charter Communications, a United States based Communications organisation with 94500 employees and revenues of $55.09 billion, Goldman Sachs, a United States based Banking and Financial Services organisation with 48300 employees and revenues of $53.51 billion, Qualcomm, a United States based Manufacturing organisation with 52000 employees and revenues of $44.28 billion, U.S. Bank, a United States based Banking and Financial Services organisation with 70000 employees and revenues of $27.34 billion, PNC Bank, a United States based Banking and Financial Services organisation with 53859 employees and revenues of $20.81 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Elastic Container Service (ECS), 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.
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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 | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2018 | n/a |
In 2018, Altair Engineering implemented Amazon Elastic Container Service (ECS) as its Container orchestration platform to standardize container deployment and runtime management across engineering environments. The implementation used Amazon Elastic Container Service (ECS) to define tasks and services within clusters, aligning container lifecycle and orchestration with existing CI pipelines.
The technical implementation configured ECS task definitions and services alongside infrastructure as code, with Terraform modules authored to provision highly available EC2 instances and to instantiate Kubernetes on AWS through EKS where required. Configuration management and runbook automation were implemented using Ansible playbooks and roles, including playbooks that adjusted service configuration to scale the number of running ECS tasks and playbooks that used the file module to manage remote system state.
Integrations tied Amazon Elastic Container Service (ECS) into the broader AWS estate and DevOps toolchain, leveraging VPC, EC2, S3, RDS, IAM, Elastic Load Balancing, Auto Scaling, CloudFront, Elastic Beanstalk, CloudWatch, Lambda and Database Migration Service as described by the engineering team. Continuous integration and delivery was orchestrated through Jenkins pipelines and Git hosting with GitHub and GitLab, with Terraform and Jenkins integrated for automated provisioning, and monitoring and logging surfaced via ELK and CloudWatch, complemented by Zenoss and Nagios for system monitoring.
Operational scope covered Development, QA, UAT and Production environments, with the DevOps organization managing user accounts, IAM permissions for CI access, and release cycle participation to resolve environment-related build failures. Governance and deployment hygiene included modular Ansible inventories and playbooks, nested CloudFormation stacks, and Auto Scaling Group configuration for capacity adaptation, supporting repeatable release processes and environment consistency.
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Autodesk | Professional Services | 15300 | $7.2B | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2022 | n/a |
In 2022, Autodesk implemented Amazon Elastic Container Service (Amazon ECS), Apps Category . Autodesk adopted a serverless-first architecture to off-load server management and reduce operational overhead by rebuilding key simulation services on Amazon ECS with AWS Fargate as the primary execution plane for CPU-bound container tasks. The engagement emphasized container orchestration with managed compute, allowing engineering teams to focus on product innovation rather than infrastructure maintenance.
The deployment architecture combined Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for serverless container execution, and Amazon EC2 backed ECS instances for GPU-intensive workloads, preserving secure and resizable compute for high performance simulations. Autodesk also instrumented AWS Lambda for event-driven compute and Amazon EventBridge as the event bus to receive, transform, route, and deliver events, creating an asynchronous, scalable processing pipeline. Seekable OCI, an AWS open source technology supported by AWS Fargate, was incorporated to start container tasks without waiting for full image load, and this optimization produced a 50 percent decrease in startup time for some simulations running on Amazon ECS instances.
Operational scope targeted Autodesk simulation products and customer-facing SaaS delivery of water simulation workloads, enabling customers to onboard more quickly and begin running parallel long-running simulations on purchase. Using Amazon ECS, servers now scale automatically to demand which maintains high availability and reduces the need for idle instances, enabling customers to run a higher number of concurrent simulations than previously possible. The solution preserved customer experience while enabling rapid scale out to meet increased user demand.
Governance and release processes shifted toward continuous service updates, allowing Autodesk development teams to update, improve, and introduce capabilities without issuing major software releases or requiring customers to update software or servers. The serverless-first approach reduced operational surface area for patching and updates, and Autodesk emphasized minimizing operational exposure and security overhead by relying on managed AWS services. Outcomes explicitly stated include faster customer onboarding, reduced simulation startup overhead by 50 percent for targeted workloads, automatic scaling to demand, and reduced idle compute requirements.
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BILL | Professional Services | 2364 | $1.7B | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2024 | n/a |
In 2024 Bill.com began migrating its on premises platform to Amazon Web Services and implemented Amazon Elastic Container Service (ECS) to refactor application delivery and increase operational speed. The Apps Category .
Bill.com deployed Amazon Elastic Container Service (ECS) with AWS Fargate to containerize core platform services, centralize orchestration, and simplify runtime operations. Implementation focused on container task definitions, cluster and service orchestration, automated scaling of containerized workloads, and shifting compute responsibility to the AWS managed stack so development teams could concentrate on feature delivery and platform innovation.
The rollout emphasized platform engineering and development teams as primary consumers, with operational coverage across Bill.com core financial operations systems. Governance and process changes centered on refactoring deployment pipelines, standardizing container images and task configurations, and establishing operational runbooks for ECS and Fargate based deployments. Bill.com reported improved elasticity and a reduction in server management burden by offloading compute to AWS, enabling teams to prioritize growth and speed to market.
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Charter Communications | Communications | 94500 | $55.1B | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2022 | n/a |
In 2022, Charter Communications deployed Amazon Elastic Container Service (ECS) as a core Container Service to containerize and orchestrate application workloads supporting DevOps and SRE operations. The implementation centered on Amazon Elastic Container Service (ECS) running Docker-based workloads with AWS-native provisioning and orchestration to standardize deployment patterns across multiple development teams.
The technical architecture used ECS alongside Amazon EC2 capacity and IAM for role-based access controls, with AWS CloudFormation employed for infrastructure as code. CI/CD pipelines and release automation were integrated through Jenkins and Git, and configuration management and automation tooling included Puppet and Ansible to manage runtime configuration and image lifecycle.
Operational integrations explicitly included AWS Lambda and Elastic Beanstalk for complementary serverless and platform services, CloudWatch for monitoring, and Splunk and Sumologic for log aggregation and operational analytics. The implementation supported technical operations responsibilities such as application deployments, monitoring, automation, release management, and reliability engineering executed by DevOps and SRE teams across Charter Communications.
Governance and operational process changes focused on structured outage event management, capture and reporting of application availability metrics, root cause analysis workflows, and escalation handling by TechOps. The rollout emphasized embedding CI/CD best practices and observability into existing delivery processes, coordinating deployments across teams, and formalizing incident communication and problem determination activities.
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Clearwater Analytics | Professional Services | 3000 | $731M | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2018 | n/a |
In 2018, Clearwater Analytics implemented Amazon Elastic Container Service (ECS) under the Container Service category to orchestrate Docker based microservices for its software development lifecycles. The deployment emphasized highly available and scalable microservices based architectures, using ECS for container orchestration and management while integrating AWS traffic routing services such as Elastic Load Balancing and API Gateway to support service connectivity and request routing.
The implementation combined infrastructure as code and CI CD automation, using Terraform and AWS CloudFormation to provision dev, test, and production environments, and Jenkins to run build and deployment pipelines with Docker images hosted on Docker Hub. Data and logging components included Amazon Aurora and RDS for relational databases, S3 and Glacier for backups, Elasticsearch for indexing, and centralized logging via ELK and EFK stacks, with operational scripts in Bash and Python and Boto3 augmenting Ansible driven automation.
Explicit integrations and runtime tooling included Jenkins pipelines triggered from GitHub and Bitbucket repositories, HashiCorp Vault for secret retrieval at container startup and automatic renewal, and auxiliary container orchestration and service mesh tooling such as Kubernetes and Istio with Kiali for service topology troubleshooting. The architecture was deployed across AWS Availability Zones to support fault tolerance and automated recovery, with auto scaling configured through CloudFormation and Terraform, and monitoring implemented via Amazon CloudWatch and Nagios for metric collection, log monitoring, and alarming.
Governance and process changes focused on source control and operational hygiene, implementing branching and tagging strategies, central repository management with Atlassian Stash and Bitbucket, role based access control through Ansible Tower, and Ansible playbooks to standardize configuration management. Amazon Elastic Container Service was embedded as the core Container Service platform for Clearwater Analytics, enabling container lifecycle management, integration with core AWS platform services, and orchestration of the companys microservices and middleware components such as Kafka and MongoDB.
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Banking and Financial Services | 150 | $20M | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2022 | n/a |
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Banking and Financial Services | 48300 | $53.5B | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2021 | n/a |
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Manufacturing | 68000 | $18.9B | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2022 | n/a |
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Banking and Financial Services | 730 | $599M | United States | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2020 | n/a |
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Communications | 8000 | $5.1B | Australia | Amazon Web Services (AWS) | Amazon Elastic Container Service (ECS) | Container Service | 2014 | n/a |
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Buyer Intent: Companies Evaluating Amazon Elastic Container Service (ECS)
- Cabinet of Ministers of the Kyrgyz Republic, a Kyrgyzstan based Government organization with 1000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| Cabinet of Ministers of the Kyrgyz Republic | Government | 1000 | $250M | Kyrgyzstan | 2024-12-29 |