AWS Public Sector Blog
Category: Migration Solutions
Booz Allen Hamilton accelerates mainframe migration with AWS
Many government agencies rely on critical applications running on legacy systems, which is highlighted in a 2023 report by the Government Accountability Office (GAO). These applications are typically monolithic, built on outdated technologies that necessitate workarounds, lack scalability, and incur escalating operational costs. The GAO report identified numerous federal IT legacy systems in urgent need of modernization. To address these challenges, Booz Allen Hamilton, an AWS Partner, offers innovative solutions using multi-tenant architectures. This post delves into one such mission-critical application developed for a large-scale federal agency, showcasing how modern cloud technologies can transform legacy government systems.
Defining organizational roles with a RACI matrix
This post is part four of a four-part series that addresses how a Cloud Center of Excellence (CCOE) can be a viable solution to address the challenges of digital transformation. In this post, we discuss a framework for defining organizational areas of responsibility.
Enabling AI leadership in the age of government efficiency
Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.
Establishing a robust cloud platform and operational model through the CCoE
This post is part three of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. In this post, we address the three technical perspectives of the Amazon Web Services Cloud Adoption Framework (AWS CAF). While the business, organizational, and governance perspectives of the AWS CAF are crucial, the CCoE must also focus on the technical capabilities required to build and operate a cloud environment that meets the organization’s needs.
Aligning cloud adoption with business outcomes, organizational capabilities, and governance through a CCoE
This post is part two of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. Part two of the series focuses on the three nontechnical perspectives of the AWS Cloud Adoption Framework (AWS CAF). Successful cloud transformations require a holistic approach that goes beyond just the technical aspects, so the AWS CAF provides a comprehensive framework to guide organizations, covering the business, organizational, and governance perspectives.
The need for a Cloud Center of Excellence in digital transformation
Digital transformation initiatives often struggle to achieve their intended goals, with McKinsey and Company reporting that up to 70 percent fail to fully meet objectives. Challenges like time delays, cost overruns, and incomplete functionality can undermine the success of these efforts. This post is the first in a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address these common pitfalls. Part one focuses on what a CCoE is and how it, combined with the Amazon Web Services Cloud Adoption Framework (AWS CAF), can help your enterprise with its digital transformation.
Working backwards from generative AI business value in the public sector
Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.
Transforming government: 4 approaches to overcome legacy exit challenges
Governments worldwide dedicate a significant portion of their IT budget to maintaining legacy technology systems. This can pose security and operational continuity challenges and governments seek to address this challenge. Amazon Web Services (AWS) public sector government transformation specialists researched what technology leaders in government and in the highly regulated private sector believe their main IT challenges are. This post summarizes the insights and suggests four approaches to consider.
AWS and USAID accelerate Armenia’s cloud journey and digital resilience
During her visit to Armenia on July 10, 2024, Samantha Power, the United States Agency for International Development (USAID) Administrator, announced $5 million in funding for a new public-private collaboration between USAID, the Government of Armenia, and Amazon Web Services (AWS). The collaboration will be delivered through USAID’s Enterprises for Development, Growth, and Empowerment (EDGE) Fund, launched to leverage the private sector’s competitive edge to solve global challenges. Read this post to learn more.
Peraton consolidates data centers and migrates to AWS
Peraton is a mission capability integrator and delivers enterprise IT around the world. They are also an Amazon Web Services (AWS) Premier Tier Services Partner with competencies in government, DevOps, and migration. Peraton’s IT infrastructure and technology strategy are designed to support the delivery of mission-critical services and solutions to its customers at a global scale. In this post, we explore how Peraton used AWS to migrate and build out a virtual data center in AWS GovCloud (US) Regions within a six-month time frame with an advanced and secure end-state architecture.