Tag: AWS Public Sector Partners

IoT leverages edge computing and unlocks many use cases, but developers will tell you collecting and processing data at the edge is not without its challenges. Issues of scalability, connectivity, security, reliability, integration, and management are commonplace. This complexity led the Edge Signal development team to create the Edge Signal infrastructure platform. Learn how it helps keep developers focused on their core business and reduces the distractions of infrastructure complexities.

Data mesh is a decentralized approach to data management which strives to develop the data platform from a technology-led and project-centric model into a paradigm about federated business-led and product-centric data, by design. Learn how AWS and Accenture are helping customers rapidly set up data mesh architecture on AWS leveraging the newly-announced Velocity platform. Explore how Velocity’s Data Mesh Fabric component can minimize time and effort to set up data mesh architecture on AWS.

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

Commercial aircraft maintenance, repair, and overhaul (MRO) is a global business requiring unique scheduled and unscheduled maintenance, as well as regulatory compliance to ensure airworthiness for continued operation. Learn how an Infosys generative AI-based solution built on Amazon Bedrock enhanced productivity and leveled the playing field for newcomers in MRO. The solution aims to reduce the expenditure on document search, analysis, interpretation, and management.

Embracing cloud FinOps presents organizations with a solution to drive the right governance model and align business and engineering teams to accelerate business value. Deloitte is a FinOps Certified Service Provider and its services help customers examine and plan for cloud consumption and monitor costs to minimize cloud-spend waste. By implementing the Deloitte FinOps framework, organizations gain a holistic understanding of their cloud usage and costs to help them make data-driven decisions.

By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.

Developers can rely on AWS CloudFormation to update or add new resources to an application, as CloudFormation provides two methods for updating the stack: direct update or change set. Learn how to update the value and add new resources to your running Amazon RDS deployment, and explore architecture diagrams to help you see how the system behaves when you apply the changes via CloudFormation template.

When building out a CI/CD pipeline, there are ways to proactively harden your pipelines when they need to access environments in AWS accounts. Given that your pipeline will have create and destroy access to critical components of your AWS-based environments, it’s important to evaluate how GitLab Runner authenticates and authorizes for access to your AWS accounts. Learn how the new OpenID Connect (OIDC) for GitLab CI/CD jobs can help you access AWS services using GitLab.

Migrating to a new hosting provider to save costs presents an opportunity to fine-tune application performance and the DevOps processes supporting a company’s applications. This was the case for MasterWorks, which is based near Seattle and helps move the hearts and minds of people to act for Christian ministries across America. Learn how Avahi Technologies and AWS collaborated to help MasterWorks migrate an application that uses machine learning models from a SaaS provider to AWS.

As the digitization of businesses accelerates, the value of effective knowledge management continues to rise. The complexity of large language models (LLMs) and semantic search demands a modern data strategy and specific technical skill sets. Together, generative AI and semantic search form an integrated ecosystem for intelligent knowledge management. Learn how both can be harnessed to improve productivity and operational efficiency by democratizing enhanced search capabilities and generating actionable insights.