Tag: AWS Partner Solutions Architects (SA)

Many organizations have stitched together a set of siloed functional and technical supply chain systems to solve their business problems, but some lack traceability and transparency across the end-to-end value chain. Learn how Accenture’s SynOps for Supply Chain on AWS addresses these challenges by offering a fully integrated solution which brings traceability and transparency to the decision-making process.

Kyndryl Application Management for SAP on AWS is a managed service designed to harness the full power of SAP and enhance agility and efficiency with cloud-enabled workloads on AWS. Learn about the solution’s support models, how to build resilient architectures, and tools and automation that can help you eliminate skills gaps, simplify SAP operations for applications running on AWS, and increase visibility with a managed service portal that shows SAP applications and the AWS infrastructure from a single pane of glass.

Data protection needs are one of the top priorities when architecting disaster recovery solutions on AWS. Cloud-first strategies are the new normal now, and these decisions are driven by data classification tiers and RTO/RPO requirements outlined by business and technical stakeholders. Explore the business and technology benefits of adopting a joint disaster recovery solution like the integrated ATADATA and AWS Application Migration Service solution offered by AWS and Deloitte.

Workday helps government agencies streamline and standardize administrative processes, gain visibility across the organization, and adapt to changes quickly. Learn how Workday Enterprise Management Platform on AWS providers innovative features like scalability, high availability, seamless deployment with zero downtime on the cloud, flexible reporting, real-time monitoring capabilities, and a security and compliance offering tailored for public sector customers.

Cloud is playing a growing role in operations technology (OT) data management, which has traditionally been on-premises. What’s been missing is the ability to move OT data to the cloud at scale at an affordable cost. Learn how General Electric’s Proficy Historian helps industrial organizations to quickly and cost effectively get their OT data in the cloud. With Proficy Historian on AWS, cloud-based OT data management is a reality to have a purpose-built option to move historian data securely and efficiently.

Many customers are looking to the cloud for savings, scalability, and efficiencies. The Komprise approach to unstructured data simplifies the planning and the movement of data—whether it’s a complete NAS/object migration or a continuous movement of data to AWS storage services. Explore a set of tools to help analyze and understand your data to help determine the right AWS services to place the data for the best match of performance and cost.

Accenture recently announced an extension of its strategic collaboration with AWS to help clients leverage the value of foundational models and generative AI for faster business transformation. Learn how Accenture is working with AWS to help clients leverage Amazon Bedrock, utilizing the most advanced foundational models, such as Amazon Titan, and deploying industry-leading technologies like Amazon SageMaker and Amazon Inferentia, alongside other AWS AI services.

Leveraging the AWs serverless quick start solution which details core integration requirements of AWS Marketplace, this post builds on that foundation and offers techniques for providing end-to-end AWS Marketplace-to-SaaS application integration, using the quick start as a starting point. Specifically, we’ll look at ways you can use AWS Marketplace to onboard new tenants into your SaaS application. We’ll also cover a few of strategies for leveraging the billing capabilities of AWS Marketplace to charge for usage.

Traditional cloud monitoring, observability, and security approaches often require manual processes for data analytics. The Dynatrace Grail data lakehouse platform provides instant, cost-efficient, AI-powered analytics and automation of unified observability, security, and business data at any scale. Learn how this enables organizations to store, process, and analyze the enormous volume and variety of data from modern cloud ecosystems while retaining its context and without structuring or rehydrating it.

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.