Cloud Computing for Federal Government
Transforming government missions with cloud computing
The AWS Cloud provides secure, scalable, and cost-efficient solutions to support the unique requirements and missions of the U.S. federal government. Our cloud services can be employed to meet mandates, reduce costs, drive efficiencies, and increase innovation across civilian agencies, the intelligence community, and the Department of Defense. Cloud computing offers a pay-as-you-go model, delivering access to up-to-date technology resources that are managed by experts. Access AWS services over the internet, with no upfront costs (no capital investment), and pay only for the computing resources that you use, as your needs scale.
Benefits
Security
Comprehensive security capabilities to satisfy the most demanding information security requirements.
Private, Isolated Resources
Choose the right level of isolation for your apps and integrate with existing resources.
Compliance
Rich controls, auditing, and broad security accreditations to enable compliance with FedRAMP, CJIS, HIPAA, FERPA, and more.
Hybrid
Build hybrid-IT architectures that extend your on-premises infrastructure to the cloud with VMware and AWS Outposts.
How to buy cloud in government
Buying cloud computing services takes different skills and strategies than buying traditional IT. Are you ready to move to the cloud but looking for practical guidance? Our experts at AWS have helped many government IT leaders select the right acquisition approach for their agency.
Use cases
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Streamlined Data Transfer
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Disaster Recovery & Business Continuity
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Data Analytics & Management
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Compliance
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Streamlined Data Transfer
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Streamlined data transfer
Kinesis Firehose ingests data to S3, which then holds the raw, pre-processed, and post-processed data as a data lake. Run queries using Amazon EMR, Amazon Athena, Amazon Redshift, or Amazon Redshift Spectrum. Use Amazon QuickSight to visualize data to make informed decisions. If you are running machine learning (ML) workloads, you can use Spark ML, Python, and MXnet to run ML queries. Use the outcome of the analysis to increase targeting accuracy and optimize targeting algorithms.
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Machine Learning on AWS
AWS has the broadest and deepest set of machine learning (ML) and artificial intelligence (AI) services for your business. On behalf of our customers, we are focused on solving some of the toughest challenges that hold back ML from being in the hands of every developer.
Blog: Listen to Citizen and Student Sentiment with Machine Learning
Not only can you translate tweets, but you can also understand what is being said, the sentiment, and the key people, places, organizations, and things being discussed. You can do all this without needing deep data science skills or hiring a team with those skills.
AI/ML Webinar Series
Our webinars help IT practitioners, CIOs, CTOs, CSOs, data scientists, and engineers with little-to-no AI/ML experience, find their best use case and build a proof of concept.
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Disaster Recovery & Business Continuity
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Disaster recovery & business continuity
Unexpected events can have longstanding business and reputational impact, particularly for organizations that house complex systems. To help your systems become secure and redundant, AWS offers tools to build disaster recovery and business continuity protocols, so that you can protect your organization without incurring the expense of another physical site.
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On-demand Webinars
Data is your organization’s most strategic asset – making safeguarding it a priority. Federal agencies, educational institutions, nonprofits, and state and local governments must keep their data secure, available, and safe from threats, such as natural disasters and cyber attacks.
Ebook: Backup and Restore with AWS
This eBook provides high-level business benefits of backing up data to AWS, instead of using traditional backup strategies that involve maintaining tape libraries and/or secondary failover sites.
Video: Risk Mitigation Strategies in Disaster Recovery Planning
Learn how to build disaster resilience into every application for business continuity, security, and support for instant failover and high availability in disaster recovery scenarios.
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Data Analytics & Management
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Data analytics & management
With the most complete data management platform and numerous partner solutions, AWS can help optimize the entire lifecycle of your data, including collection, ingestion, processing, analytics, short-term storage, and archiving. We also provide sophisticated capabilities to support real-time streaming and analytics, petabyte-scale warehousing, business intelligence tools, and machine learning. Learn more about Data Analytics & Management.
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Data Lakes and Analytics on AWS
AWS-powered data lakes can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights.
Blog: Analytics Without Limits: FINRA’s Scalable and Secure Big Data Architecture – Part 1
Before the cloud, fixed capacity and provisioning lead-times were getting in the way of the analytics. With AWS, we can now expand online storage seamlessly and scale compute dynamically to meet the demands of our analysts and data scientists and keep pace when market volumes spike.
Blog: Analytics Without Limits: FINRA’s Scalable and Secure Big Data Architecture – Part 2
In order to migrate to the cloud, we worked on overcoming a few initial questions: Is it secure enough? How will security and governance controls be implemented? And can we improve our security posture with cloud infrastructure?
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Compliance
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Automated compliance environment
AWS allows for rules-based, automated compliance and allows customers to address a number of compliance and regulatory requirements including FedRAMP High, DOD SRG IL 2, 4, and 5, CJIS, ITAR, and HIPAA. At the organization level, you can create rules regarding how your AWS infrastructure can be provisioned and configured throughout your agency. When you are creating infrastructure for a particular project, you can create reusable templates that allow you to have a consistent environment for development, testing, production, and validation activities. Once deployed, AWS has tools to continually test, monitor, and log events that occur. You can use these tools to rapidly detect deviations from corporate policy and sound alarms when they occur.
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AWS Cloud Security
Cloud security at AWS is the highest priority. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations.
AWS Compliance
As with everything at Amazon, the success of our security and compliance program is primarily measured by one thing: our customers’ success. Our customers’ requirements drive our portfolio of compliance reports, attestations, and certifications that enable our customers to run a secure and compliant cloud environment.
Blog: Cloud Security Built for Government Missions
As evidenced by the full range of our Authorizations-To-Operate, third-party attestations, and certifications, the AWS Cloud provides government customers with the only one-stop shop to handle Public, For Official Use Only (FOUO), Sensitive, Secret, and Top Secret workloads.
AWS GovCloud
AWS GovCloud (US) gives government customers and their partners the flexibility to architect secure cloud solutions that comply with the Department of Defense (DoD) Cloud Computing Security Requirements Guide (SRG) for Impact Levels 2, 4 and 5, FIPS 140-2, the FedRAMP High baseline, and other compliance requirements.
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Case studies
U.S. Department of Veterans Affairs (VA)
Vets.gov runs on AWS and was the first product approved at VA to run in production on any commercial cloud provider. The website is hosted in the AWS GovCloud (US) Region.
Centers for Medicare & Medicaid Services (CMS)
CMS is ingesting five years or more of records from 50 states—totaling 72 terabytes of data—to the cloud. In the past, this would have created a “log jam,” and likely would have been impossible for the agency’s on-premises data centers.
National Oceanic and Atmospheric Administration (NOAA)
Three days in advance of the Solar Eclipse, NOAA predicted that their website would be a popular site, with hundreds of thousands of people checking how rapidly the temperature changes. Using Amazon CloudFront, NOAA was able to serve up their pages much faster to users, giving them peace of mind, all at a low cost.
Smithsonian Institution
Using AWS, the Smithsonian Institution Data Science Team can scale instances up and down as needed, allowing the team to annotate genomes in parallel while also managing costs. The AWS Cloud has enabled the Smithsonian Institution to share their research and increase knowledge through open data science.
