Tag: Partners with AWS Qualified Offerings

Montoux’s next-generation decision science platform for insurers uniquely combines actuarial and data science in its software, providing a modern, flexible, and sophisticated alternative to legacy actuarial software. Learn how the AI-driven model replication module is specifically developed to support an insurer’s transition to cloud and reduces the time, cost, and effort required to migrate to a new platform.

Databricks SQL is a dedicated workspace for data analysts that comprises a native SQL editor, drag-and-drop dashboards, and built-in connectors for all major business intelligence tools as well as Photon. In this post, Volker Tjaden, an APN Ambassador from Databricks, shares the technical capabilities of Databricks SQL and walks through two examples: ingesting, querying, and visualizing AWS CloudTrail log data, and building near real-time dashboards on data coming from HAQM Kinesis.

To reap the benefits of cloud computing, organizations cannot simply take their existing applications and architectures in their legacy on-premises environment and move them as-is to the cloud. True cloud modernization with MongoDB Atlas on AWS enables you to move data and simultaneously apply the latest innovations in development methodologies, architectural patterns, and technologies to refresh your portfolio of existing applications.

Security is the highest priority for AWS, which works closely with industry-leading partners such as CloudHealth by VMware to build security solutions for customers like CloudHealth Secure State (CHSS). Learn how you can set up CHSS projects, suppress rules and alerts, find misconfigurations through CHSS Explore, and set up remediation jobs all built on CloudHealth’s unified security monitoring approach for AWS.

A key challenge SaaS providers face is understanding the cost profile of their environment and the customers within it. Measuring the cost of each tenant in the system, understanding cost-effectiveness of product features, and accurately metering the margin in a SaaS solution are examples of abilities that are critical for SaaS success. Learn why breaking down the cost to different unit metrics, customers, features, segments, and business units is a requirement for any modern SaaS business.

Securing the Kubernetes environment without compromising on developer agility holds the key to success with cloud-native adoption. The Nirmata Kubernetes Platform is designed to address these challenges comprehensively. It’s an open and easy-to-adopt platform to deploy, operate, and optimize Kubernetes workloads on any infrastructure, enabling self-service, segregation of responsibilities, and security and governance controls.

This post will show you how to send HAQM Inspector‘s Common Vulnerabilities and Exposures (CVE) findings to the ServiceNow Security Operations (SecOps) module. At the time of this write-up, there is no native adaptor from AWS to the ServiceNow SecOps module and, as such, requires a custom integration. Learn how to use ServiceNow’s native RESTful API to create a custom interface that an AWS Lambda function will leverage to send the CVE findings as they reach AWS Security Hub.

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

Building an optimized mobile network requires careful planning to ensure proper coverage and capacity. This post discusses how CSPs can augment their existing network planning with additional data while leveraging analytics for cell site placement and network optimizations. Learn how Kinetica, a GPU-accelerated data platform, unites historical analytics and streaming analytics, location intelligence, graph analytics, and machine learning to tackle massive scale network data challenges.

Industrial data exists in different components and systems, in various formats, and with separate access protocols. To harness this data and benefit from the synergies of system-wide interoperability, businesses must effectively digitize shop floor data. Learn how Amorph Systems’ SMARTUNIFIER software complements AWS services to deliver leading-edge connectivity for Industrial Internet of Things (IIoT). Amorph Systems is a leading developer of software technologies and products for industrial connectivity.