AWS Partner Network (APN) Blog

Tag: AWS Competency Partners

Gremlin-APN-Blog-070723

How to Streamline and Automate Reliability with Gremlin and Amazon CloudWatch

Gremlin is an AWS Partner that gives users a solution for safely and securely improving the reliability of their technology stack. Teams can use Gremlin to find hidden reliability risks, standardize reliability testing and measurement, and simulate real-world outages with an ever-growing library of tests. Learn how to test and measure the reliability of AWS systems using Gremlin Reliability Management and Amazon CloudWatch.

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Accelerating Public Health Data Modernization with AI-Powered Document Processing from Quantiphi

Many public health agencies and laboratories still fax their test results and frequently change the format of those documents. Quantiphi’s Jim Keller speaks with AWS about the benefits of QDox, an intelligent document processing solution that leverages AI to recognize the document type, extract information, and deliver the output in the desired format. Quantiphi is an AWS Premier Tier Services Partner that’s a category-defining analytics, machine learning, and cloud modernization company.

Automating Cloud Cost Optimization with nOps nSwitch and Amazon EventBridge

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.

IBM-APN-Blog-070623

Modernizing Data Platforms, Accelerating Innovation, and Unlocking Business Value with Data Mesh on AWS

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.

Streamlined Resource Management with the Infosys Automated Self-Service Landing Zone Solution for AWS

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.

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Bringing Immersive Customer Experiences to the Metaverse Using HCLTech Metaverse solution and AWS

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–HCLTech Metaverse solution–its foray into the metaverse for industrialized solutions and its capabilities. HCLTech Metaverse solution creates custom 3D avatars and integrates with HCLTech’s OBOL Tokenization framework among others.

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Live Troubleshooting of Amazon EKS Applications with Dynamic Instrumentation and Lightrun

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.

Building a Scalable Machine Learning Model Monitoring System with DataRobot

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.

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Ganit Transforms Fast Fashion Apparel Retail with Intelligent Demand Forecasting on AWS

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.

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Simplify Activity Tracking with TCS Cloud Exponence and AWS CloudTrail Lake

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.