Category: Intermediate (200)

MachineMetrics, an AWS Industrial Software Competency Partner, is committed to supporting front-line workers on the manufacturing floor and in the medical field. By enabling mobile workers, industrial companies are better able to ensure the safety of their employees while continuing to serve their own customers. MachineMetrics is offering free access to its Industrial IoT platform to any manufacturer involved with the production of ventilator parts, test equipment, protective equipment, or COVID-19 treatment-related manufacturing.

A critical first step to successfully migrate workloads from data centers to AWS is to analyze the IT assets in your data center using a comprehensive discovery process, followed by a total cost of ownership analysis to produce a directional business case for migration. Learn about the key characteristics of technologies needed to effectively serve the discovery purpose, such as modelizeIT, an advanced discovery and application architecture mapping tool that helps customers maximize discovery automation and accuracy.

Many vendors, services, and resources are available to migrate one or two applications at a time, but most struggle to migrate a large number of applications with the same skill level and outcomes. A tool that provided effective application discovery and containerization for a large number of apps was missing. CloudHedge’s automated discovery, containerization, and deployment tools can reduce the time and effort required to transform large numbers of monolithic, on-premises Windows applications to cloud-native services running on AWS.

Seagate asked Mactores Cognition to evaluate and deliver an alternative data platform to process petabytes of data with consistent performance. It needed to lower query processing time and total cost of ownership, and provide the scalability required to support about 2,000 daily users. Learn about the the three migration options Mactores tested and the architecture of the solution Seagate selected. This effort improved the overall efficiency of Seagate’s Amazon EMR cluster and business operations.

Financial institutions possess and process data that are very sensitive and have immense business value. In recent years, regulations like open banking and data residency law have forced organizations to be even more adaptive to frequent challenges to systems storing and processing the data. Explore how Capgemini developed an application to address this customer challenge and learn how the approach helped worldwide credit card provider comply with PCI DSS security standards.

Amazon SageMaker provides all the components needed for machine learning in a single toolset. This allows ML models to get to production faster with much less effort and at lower cost. Learn about the data modeling process used by BizCloud Experts and the results they achieved for Neiman Marcus. Amazon SageMaker was employed to help develop and train ML algorithms for recommendation, personalization, and forecasting models that Neiman Marcus uses for data analysis and customer insights.

This four-part series for APN Partners can help you build a next-generation AWS Managed Service Provider (MSP). The AWS MSP Partner Program recognizes leading APN Consulting Partners that are highly skilled at providing full lifecycle solutions to customers. We have discussed the foundational tenets of next-gen MSPs and how to shape your teams so you can deliver a successful MSP offering on AWS. In this final post, I will focus on your MSP’s sales and alliance, solutions architecture, and marketing teams.

One of the key value propositions WP Engine makes to customers is high availability of websites (uptime), regardless of the stress those sites may encounter. Delivering a performant, reliable, digital experience, even under heavy load, is key to customers’ success. WP Engine’s WordPress Digital Experience Platform gives enterprises and agencies the agility, performance, intelligence, and integrations they need to prepare for and handle heavy traffic loads.

Running Hadoop, Spark, and related technologies in the cloud provides the flexibility required by these distributed systems. Cazena provides a production-ready, continuously optimized and secured Data Lake as a Service with multiple features that enables migration of Hadoop and Spark analytics workloads to AWS without the need for specialized skills. Learn how Cazena makes it easy to migrate to AWS while ensuring your data is as secure on the cloud as it is on-premises.

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.