AWS Partner Network (APN) Blog

Tag: AWS Partner Guest Post

Optimizing Customer Experiences for Speed Using AWS and Crownpeak

One of the biggest obstacles for brands today is improving the performance of their digital properties. While much of today’s marketing technologies leverage modern advances in cloud computing, many of the technologies powering digital properties (web and mobile sites) still use the prior generation of server-based technologies. Learn how to modernize your digital technology stack with Crownpeak to optimize customer experiences for speed, and ultimately improve performance for your brand.

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Upgrading Your Windows OS In-Place While Migrating to AWS

If you’re upgrading from Windows Server 2008 because it’s no longer supported by Microsoft, and you’re thinking about migrating some of your workloads to the cloud, consider doing both at the same time. RiverMeadow migrates your workloads to AWS and upgrades from Windows 2008 to the latest version, or a version in between. Currently, RiverMeadow offers the in-place OS upgrade for Windows 2003 and up, and allows customers to upgrade to 2008, 2016, or 2019 versions of Windows.

How Steamhaus Used AWS Well-Architected to Improve Sperry Rail’s Artificial Intelligence System

Over two days, Steamhaus conducted an AWS Well-Architected Review on-site with the team who designed, built, and currently manage Elmer at Sperry Rail. Elmer uses machine intelligence to inspect thousands of miles of ultrasound scans collected by Sperry’s inspection vehicles, searching for evidence of cracks in the rail. This partnership allowed quick improvements in efficiency, while ensuring the requirements of running the business day-to-day did not get in the way of improving Elmer.

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Gathering Market Intelligence from the Web Using Cloud-Based AI and ML Techniques

Many organizations face the challenge of gathering market intelligence on new product and platform announcements made by their partners and competitors—and doing so in a timely fashion. Harnessing these insights quickly can help businesses react to specific industry trends and fuel innovative products and offerings inside their own company.Learn how Accenture helped a customer use AWS to gather critical insights along with key signals and trends from the web using AI and ML techniques.

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Building a Business Case for SAP on AWS to Unlock New Value for the Enterprise

Many organizations will find the migration to S/4HANA in the cloud to be as transformative as their initial adoption of enterprise resource planning (ERP) software. Choosing trusted providers that understand both your business needs and technology environment is the shortest path to value. Deloitte’s collaboration with AWS helps clients accelerate their ability to achieve digital transformation and powerful insights-based outcomes with SAP S/4HANA and the SAP HANA platform.

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Transforming the Customer Experience at Speed and Scale with AWS and Braze

Braze is a comprehensive customer engagement platform built on AWS that helps brands bring modern, stream processing, and data-science frameworks to their engagement strategies. When a minute can make or break a customer experience, brands need a tool that allows them to make virtually instantaneous and meaningful connections with every one of their customers. Learn about recent campaigns from Burger King, Overstock, and BlaBlaCar and the technology that made them possible.

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How to Visualize and Monitor Your AWS Container Fleet with Datadog

To fully leverage the versatility and scalability of containers, you need a monitoring solution capable of providing clarity into a highly dynamic environment comprising thousands (or even tens of thousands) of ephemeral containers. Learn how Datadog provides visibility into dynamic, ephemeral container workloads running on Amazon EKS, a service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

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Improving the Performance of Distributed Atlassian Applications with Amazon CloudFront

Atlassian users who run Jira, Confluence, or Bitbucket applications across distributed teams find that, due to slower network connectivity, content sometimes loads much slower for team members in geographically distant regions. A new feature in Atlassian’s Jira, Confluence, and Bitbucket Data Center versions allows the use of Amazon CloudFront to improve the user experience and overall performance of applications hosted in other global regions.

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Monitoring Microservice-Based Cloud Applications Using Distributed Tracing

As application complexity increases, the debugging process in production environments gets more complicated as well. AWS understands this challenge and includes tracing tools in its cloud services. For instance, AWS X-Ray helps developers analyze and debug distributed applications, such as those built using a microservices architecture. Epsagon specializes in automated tracing for cloud microservices, providing automated end-to-end tracing across not distributed AWS services.

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Enabling Customer Attribution Models on AWS with Automated Data Integration

Attribution models allow companies to guide marketing, sales, and support efforts using data, and then custom tailor every customer’s experience for maximum effect. Combined together, cloud-based data pipeline tools like Fivetran and data warehouses like Amazon Redshift form the infrastructure for integrating and centralizing data from across a company’s operations and activities, enabling business intelligence and analytics activities.