Category: Intermediate (200)

Secure Cloud Foundation is a fully managed platform-as-a-service offering from Infosys Compaz (iCompaz), an Infosys Limited joint venture. It provides a managed platform with foundational secure landing zone capabilities, as well as application and workload hosting capabilities. Secure Cloud Foundation helps customers achieve enterprise-grade security for their workloads running on AWS. In this post, walk through typical customer cloud adoption scenarios that could leverage the Secure Cloud Foundation.

The massive scale and efficiencies offered by cloud data lakes are best served by a continuous replication mechanism from on-premises and cloud-based enterprise resource planning (ERP) applications. Learn how SAP ERP, Amazon Redshift, and HVR Change Data Capture (CDC) add up to more than the sum of the individual parts, and dive deep into HVR’s architecture and the unique value proposition for SAP customers building their data lakes with AWS.

The main thing that all interested parties need when a vessel is in port—and this has never changed—is information. Learn how Inchcape, a global organization and leader in ships agency and maritime services that covers around 2,500 ports, teamed up with DataArt to reimagine its core operational platform, Optic, as a bespoke .NET Core-based microservices solution. Optic builds trust through transparency of the vessel program, real-time updates, and standardized workflow and data across all port calls and locations.

Environmental, social, and governance (ESG) factors are increasingly important for financial institutions as they look to assess portfolio risk, meet investment mandates, align with customer values, and report on the sustainability of their portfolios. Working closely with CSRHub, a data provider on AWS Data Exchange, learn how AWS has produced a demonstration to illustrate how customers can analyze company-level ESG scoring data with Amazon QuickSight.

Managing the lifecycle of structured data and unstructured content, while simultaneously providing efficient access to it, has never been more challenging. Locating accurate content for a specific task can be laborious and time-consuming if it lives in complex folder structures scattered across various silos. Learn how the combination of Documentum and AWS offers more secure, reliable, and compliant solutions to organizations looking to deploy information management workloads in the cloud.

As organizations continue to adopt AWS, their risk footprint increases from both an infrastructure and network perspective as it relates to compliance posturing, configuration risk, and network threats. Explore the integration between AWS and Secure Cloud Analytics, a SaaS-delivered Network Detection (NDR) offering from Cisco that monitors multi-cloud and hybrid environments for threats and policy violations and provides comprehensive visibility for any environment.

Most enterprises go through the process of monthly chargeback (cost allocation) of their AWS costs to internal business units or cost centers. The AWS Cost and Usage Report can provide the flexibility needed to create detailed custom billing rules. Learn how VMware implemented an equitable chargeback model using CloudHealth’s FlexReports, a simple solution for companies that have multiple Payers or just want to implement custom billing rules quickly.

Saturn Cloud is a data science and machine learning platform for Python. Its multi-node, multi-GPU computing enables 100x faster workflows, reducing the time to business value. Saturn Cloud is compatible with the entire Python ecosystem and a variety of tools, which makes workflows customizable and the computing experience highly flexible for a range of setups and preferences. In a recent release, Saturn Cloud added Amazon EC2 Spot compatibility.

Couchbase NoSQL database admins have been using AWS to host clusters for many years. Couchbase Cloud provides customers access to sophisticated management software that allows them to co-manage their NoSQL cloud database directly inside their AWS-powered infrastructure. Learn how Couchbase leverages the underlying cloud resources, and explore graphical examples of key features from the web-based control plane to demonstrate how easy it is to use.

Given the breadth of use cases, data lakes need to be a complete analytical environment with a variety of analytical tools, engines, and languages supporting a variety of workloads. These include traditional analytics, business intelligence, streaming event and Internet of Things (IoT) processing, advanced machine learning, and artificial intelligence processing. Learn how Cazena builds and deploys a production ready data lake in minutes for customers.