Tag: AWS Competency Partners

Optimizing environments for cost, however, is often an activity that happens only in response to unexpected growth of charges in the bill. nOps nSwitch makes this process easy, allowing both engineering and finance teams to explore, identify, and automate optimization opportunities. Learn how nOps’ integration with Amazon EventBridge helps customers to pause, reconfigure, and right-size a broad variety of popular AWS services so they can tune for the most optimal cost while maintaining reliability and security.

To sustain innovation and drive business value, organizations are realizing the importance of decentralization of data products using a data mesh architectural design approach. Experts from AWS and IBM explain how to set the right balance of business ownership using data mesh to modernize data platform and accelerate innovation. We’ll also describe referenceable techniques to build data mesh solutions using AWS native services including Amazon DataZone, AWS Lake Formation, and AWS Glue.

Infosys has crafted an automated self-service landing zone solution for AWS which employs AWS Control Tower to generate the customer’s organization unit structure and set up individual accounts. It uses the infrastructure as code tools from Terraform for infrastructure provisioning and Ansible for service configuration. The landing zone provides a pre-configured and secure environment, functioning as a springboard for organizations to manage their AWS resources effectively.

HCLTech views the metaverse as an addition to existing mobile channels poised to disrupt the market. Replacing workstations with head-mounted devices will catalyze the evolution of two-dimensional applications to three-dimensional interactives. Learn about HCLTech’s flagship offering–Metafinity–its foray into the metaverse for industrialized solutions and its capabilities. Metafinity creates custom 3D avatars and integrates with HCLTech’s OBOL Tokenization framework among others.

Amazon EKS provides a managed scaled control plane which eliminates the undifferentiated heavy lifting for the enterprise platform team. Learn how using the Lightrun developer observability platform and Amazon EKS together, organizations can maximize their mean time to resolution of defects, enhance developer productivity, and reduce overall logging costs. Lightrun and Amazon EKS enable full-cycle developer observability.

Maintaining multiple machine learning models across different teams can be challenging. Having a centralized platform to monitor and manage them can significantly reduce operational overhead and improve efficiency. Learn how the models trained and deployed in Amazon SageMaker can be monitored by DataRobot in a highly scalable fashion. In this way, customers can monitor both DataRobot-originated models and SageMaker-originated models under a single pane of glass.

Gauging market demand for the apparel retail industry is challenging. The success of SKUs sold depends on customer preference (fitting, feel, regional acceptance) and latest trends, which can change frequently. Learn how Ganit has successfully deployed inventory management systems using intelligent demand forecasting at the core of its solutions. This system has helped many clients optimize their inventory, leading to efficient working capital deployment and improvement in topline and bottom-line numbers.

Customers want an easier way to gather operational insights across their environments, including monitoring who has made changes to resources and when. Tata Consulting Services (TCS) developed a cloud management and orchestration platform called TCS Cloud Exponence that provides resource maintenance, patching, perimeter monitoring, vulnerability protection, observability, and compliance auditing. TCS leveraged AWS CloudTrail Lake to support the monitoring and compliance auditing capabilities.

Rapid changes in business intelligence and analytics solutions means companies are continually over-investing in solutions that rapidly age. With DXC Technology’s Analytics and AI Platform (AAIP), you can develop and deploy new analytics applications in weeks. Learn about the features and benefits of AAIP, which helps you look further and deeper, gaining business insights from data you could not previously access or manage.

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.