AWS Partner Network (APN) Blog

TCS-AWS-Partners-1

How TCS is Delivering Remote Virtual Inspections for Insurers Enabled by AWS Services

By avoiding inspections, insurers lose the opportunity to adequately consider all factors during underwriting and take on more risk. TCS has built a virtual inspection solution on AWS that is customizable to various inspection use cases, such as home insurance inspections and claims, auto claims damage assessment and estimation, and mortgage inspection. This post provides an overview of the TCS virtual inspection solution, describes the high-level architecture, and explores the potential business benefits for insurers.

Security and Compliance at Scale with CloudHealth Secure State

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.

SaaS-on-AWS-1

SaaS Cost Attribution: How to Align Technology with Business

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.

Nirmata-AWS-Partners

Provisioning and Securing Bottlerocket OS-Based Amazon EKS Clusters Using Nirmata Kubernetes Platform

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.

SaaS-on-AWS-2

Implementing SaaS Tenant Isolation Using Amazon SageMaker Endpoints and IAM

As multi-tenant SaaS providers look to leverage machine learning services, they must consider how they’ll protect the data that flows in and out of these services from different tenants. Learn how tenant isolation of machine learning services can be achieved using AWS IAM, and how the integration between IAM, Amazon SageMaker, and many other AWS services provide developers with a rich set of mechanisms that can be applied to realize tenant isolation goals.

Element 84-AWS-Partners

Transforming Geospatial Data to Cloud-Native Frameworks with Element 84 on AWS

Element 84, in collaboration with AWS and Geoscience Australia, has released the Sentinel-2 Cloud-Optimized GeoTIFF (COG) dataset on AWS Open Data. Sentinel-2 is an important platform for Earth observation, and its imagery contributes to ongoing research in climate change, land use, and emergency management. By making the Sentinel-2 archive more cloud-native, we are making the data more user-friendly and (hopefully) making the lives of emergency managers, climate scientists, and policy makers that much easier.

ServiceNow-AWS-Partners

Sending Amazon Inspector’s Common Vulnerabilities and Exposures Findings to the ServiceNow SecOps Module

This post will show you how to send Amazon 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.

DataRobot-AWS-Partners

Optimize the Cost of Running DataRobot Models by Deploying and Monitoring on AWS Serverless

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.

Kinetica-AWS-Partners

How to Enhance 5G Network Planning Using Analytics for Faster Time to Market

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.

Virtusa-AWS-Partners

How Financial Institutions Can Innovate Faster with Virtusa’s Open Innovation Platform on AWS

Financial institutions need to keep up with fast-changing market conditions while increasing digital adoption. To provide an end-to-end digital experience to customers, they need capabilities to rapidly validate ideas and conduct experiments or PoCs with an ability to iterate quickly towards the final solution. Virtusa’s Open Innovation Platform (OIP) is hosted on AWS and helps banks and financial services firms to achieve these goals quickly, efficiently, and at low cost.