Tag: AWS Partner Success Stories

N2W Software (N2WS) offers backup and disaster recovery for anyone using AWS. It protects your environment against the inevitable by coping backups across AWS regions or AWS accounts—with the ability to easily restore when needed. Version 3.0 of N2WS Backup and Recovery includes a new feature known as Recovery Scenarios. It allows you to define different sequences of recovery for your protected AWS resources, and test them with a Dry Run.

CircleCI has released an aws-serverless-framework orb to make it easier to continuously integrate and deploy serverless applications built using the Serverless Framework. Learn how to use the framework to develop and test a sample serverless application, and how to use CircleCI to implement continuous integration and deployment of that serverless application. CircleCI’s continuous integration and delivery platform allows teams to rapidly release code they trust by automating the build, test, and delivery process.

To help everyone visualize COVID-19 data confidently and responsibly, we brought together APN Partners Salesforce, Tableau, and MuleSoft to create a centralized repository of trusted data from open source COVID-19 data providers. Anyone can work with the public data, blend it with their own data, or subscribe to the source datasets directly through AWS Data Exchange, and then use Amazon Redshift together with Tableau to better understand the impact on their organization.

With rapid advancements in machine learning techniques over the past decade, intelligent decision-making and prediction systems are poised to transform productivity and lead to significant economic gains. KNIME provides visual data science tools to help data science teams rapidly build and deploy data-driven solutions that integrate with AWS decision support tools and services. Learn about the barriers to adoption of AI and the ways in which the KNIME tools remove those barriers.

As larger and more complex workloads are deployed on AWS, multi-account solutions are an increasingly common architectural blueprint. Often referred to as cloud “landing zones,” these blueprints enable simple administrative boundaries. However, using multiple accounts increases the complexity of security tooling, access control and authorization, and cross-account networking. AWS Control Tower simplifies the process of setting up multi-account environments with predefined security baseline templates.

Migrating from an on-premises SAP environment to SAP S/4HANA on AWS can appear intimidating, particularly for organizations that have little experience with cloud infrastructure. There’s good reason for caution: shifting mission-critical workloads without proper planning can disrupt your business. Fortunately, a suite of powerful tools from AWS and Deloitte can help you complete a migration or greenfield deployment efficiently and with minimal disruption.

The AWS SaaS Factory team recently worked with Automatic Data Processing (ADP) to help build its next gen HCM solution as a SaaS offering on AWS. ADP leveraged AWS services for its next gen human capital management (HCM) and payroll platform that helps organizations create highly personalized work and pay experiences. ADP chose AWS as the cloud platform for their HCM system for its security, capability, and innovation.

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.

The Digital Workplace program at AWS identifies APN Partners and AWS solutions that can help you build a digital workplace. All the partners and AWS solutions that we showcase have passed a Technical Baseline Review with AWS, and some of our APN Partners have also created AWS Quick Starts. These accelerators that reduce hundreds of manual procedures into just a few steps, so you can build your production environment quickly and start using it immediately.

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.