Category: AWS Marketplace

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.

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.

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.

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.

Customers are increasingly purchasing software and services in AWS Marketplace to take advantage of added efficiencies, cost savings, and flexible payment and terms. As we continue to transform the AWS Partner experience, we’re focused on scaling AWS Marketplace to help you drive greater customer value. In this post, we share key operational and self-service enhancements we’ve made to help you scale your offerings in AWS Marketplace, while lowering your operating costs and accelerating time-to-close.

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.

Many institutions in financial services are in the early stages of their cloud journey. While each has their own IT landscape and cloud strategy, one question is common among many organizations: “How can I simplify my data ingest pipelines?” FactSet is a leading provider of financial services market and alternative data that can help consumers access their data in simple and scalable ways, while removing the administrative tasks that do not add value to the business.

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.

Enterprise data consumers often have difficulty discovering usable and trusted data. Learn how Collibra and AWS are collaborating to develop products and capabilities that facilitate data intelligence. Inovations include new capabilities that make it easier to migrate data and workloads to the cloud, as well as enhancements to search, collaboration, business process automation, and analytics. There are also new integrations that assist customers with data access, data governance, data quality, and observability in the cloud.

Snowflake aspires to be a leader in environmental sustainability, and its goal is to provide the best data cloud with the lowest carbon footprint on the planet. Learn how Snowflake reduced its carbon emissions footprint and improved performance efficiency by transitioning virtual warehouses to AWS Graviton-based instance types. This enabled Snowflake to reduce the carbon intensity of workloads, so it can meet customer demand sustainably even as compute requirements continue to grow.