AWS Partner Network (APN) Blog

Tag: AWS Service Ready Products

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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.

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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3 Simple Ways to Use FactSet’s Financial Data in AWS Workflows

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.

Subscribe and Ingest AWS Data Exchange Data into Databricks and Visualize it with Amazon QuickSight

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.

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Automate Data Sharing with Collibra and AWS Lake Formation

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.

How Snowflake Optimized its Virtual Warehouses for Sustainability Using AWS Graviton

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.

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Say Hello to 176 AWS Competency, Service Delivery, Service Ready, and MSP Partners Added or Renewed in May

We are excited to highlight 176 AWS Partners that received new or renewed designations in May for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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Building Multi-Edge Data Architectures on AWS Wavelength and MongoDB

With the advent of high-speed 5G networks, enterprises have sought to deliver low-latency experiences across industrial Internet of Things IoT (IIoT), media and entertainment, automotive, and beyond. At the core of these low latency experiences is data. This post builds on an earlier demonstration of MongoDB Realm on AWS Wavelength by amplifying the existing architecture with new features, and shows how to use the AWS Load Balancer Controller to deploy an Application Load Balancer in front of the database.

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5 Stages to Building a Successful Partner Practice with AWS

Over the years working with AWS Partners, we have learned that having a focused AWS practice helps partners be more successful in supporting our evolving mutual customer base. Learn how a dedicated AWS practice can be essential in getting the most out of your AWS Partner Network (APN) involvement, especially if your organization is on the Services Path. We’ll describe the five stages of a successful partner practice and offer insights into how to optimize your APN resources and benefits.

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Protecting Sensitive Data with Collibra Protect and AWS Lake Formation    

Ensuring the security and proper management of sensitive information is paramount, and Collibra Protect and AWS Lake Formation offer a powerful combination to address the growing challenges of enterprise data access governance. Learn how Collibra Protect, part of the Collibra Data Intelligence Cloud, protects sensitive data and makes it available to specified groups of users. AWS Lake Formation is a fully managed serverless service that allows you to build clean and secure data lakes in days.