SAG_Twitter_FB_MEME_ReinventingRelationship_880x440_Nov18 (1)Software AG has expanded its relationship with Amazon Web Services, Inc. (AWS) and will offer key products for application integration, API management, process design & transformation, analytics, and data management to help enterprises drive digital transformation.

Under this expanded relationship, Software AG will now offer key components of its Digital Business Platform as part of the new computing services on the newly launched AWS Marketplace for Containers, based on Docker and Kubernetes:

  • webMethods API Portal and API Gateway
  • webMethods Microservices Container
  • webMethods Command Central DevOps
  • Zementis AI framework
  • ARIS Connect Business Process Modeling and Publishing
  • ARIS Governance, Risk, and Compliance Management
  • Apama Data Streaming
  • Adabas & Natural database and application development

Garth Fort, Director, AWS Marketplace, Amazon Web Services, said: “Software AG has been an AWS Partner Network (APN) Advanced Technology Partner since 2013. We are excited to welcome them to the new AWS Marketplace for Containers, which will help over 200,000 AWS customers find, buy, and deploy solutions specific to their container environment.”

The listing of our products on the AWS Marketplace for Containers extends our ecosystems for customers so that they have easy access to our digital transformation technology. Now, customers can have a fully operational solution up and running using our containerized products on AWS. We can provide a single, coherent solution to drive digital transformation – with a wide range of capabilities including new tools for application development, Machine Learning, DevOps, support for hybrid and private deployments, and much more.

Software AG will be present at AWS re:Invent 2018 on stand 239, where the company’s Zementis predictive analytics platform will be presented. The demonstration will include an Internet of Things (IoT) use case along with key aspects of its Artificial Intelligence (AI), Machine Learning (ML), and Predictive Analytics modeling capabilities – all operating on AWS.

The industrial IoT demonstration will also highlight examples of possible use cases such as predicting equipment failure, real-time anomaly detection, risk-based maintenance, asset health monitoring, and predictive maintenance. Come see us and help us to celebrate our new relationship with AWS.

Read the Press Release Here

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