Tag: AWS Service Ready Products

A data mesh architecture is a relatively new approach to managing data in large organizations, aimed at improving scalability, agility, and autonomy of data teams. There’s a need for an architecture that removes complexity and friction of provisioning and managing the lifecycle of data. This post outlines an approach to implement a data mesh with Snowflake as the data platform and with many AWS services like to support all pillars of the data mesh architecture.

Being able to plan for and recover from downtime is a key factor for businesses to consider, as we all become more reliant on technology to live, work, and play. Learn how the Veritas Alta Enterprise Resiliency offering provides businesses with a robust enterprise-ready solution to achieve resiliency and continuity. We’ll also discuss the Application Mobility Service, a new component of Veritas Alta Application Resiliency that can help accelerate and simplify customer migrations to AWS.

While implementing a new OS may seem tedious, it presents an opportunity to reassess your organization’s needs, and this overview discusses key benefits of migrating to Red Hat Enterprise Linux from CentOS Linux. The ‘convert2rhel’ utility converts a CentOS 7.9 or CentOS 8 instances in-place to RHEL 7.9 or RHEL 8 instance. The Leapp utility converts the RHEL 7.9 instance to a RHEL 8.9, and Red Hat publishes lifecycle dates for RHEL. Note that RHEL 8 will continue to receive updates until May 31, 2029.

The security pillar of the AWS Well-Architected Framework describes how to take advantage of cloud technologies to protect data, systems, and assets in a way that improves security posture. The security pillar doesn’t just apply to AWS regions and Availability Zones but also to hybrid cloud solutions on premises. In this post, we’ll focus on security using AWS Snowball Edge and how Palo Alto Network’s VM-Series firewall is deployed and configured to secure access to a 5G core application providing cellular 5G connectivity.

Organizations are increasingly turning to intelligent automation technologies to streamline their business processes and improve efficiency. Learn how UiPath Business Automation Platform and Amazon SageMaker can be integrated to help businesses automate complex processes, improve decision making, and drive innovation by leveraging the power of AI. The solution allows customers to bring machine learning inference from SageMaker directly into their business automation.

Data architectures and strategies continue to respond to the need for discoverability and consumer desire to directly connect with producers. Data mesh is one such approach and provides a methodology for how organizations can organize around data domains by delivering data as a product. Learn how Palantir Foundry runs on AWS to help customers deliver and transform their data architectures through such an approach while leveraging and building on existing investments.

State Farm, a leading insurance company, is leading the way in modernizing its mainframe application. By embracing the cloud and adopting robust workload automation tools, State Farm achieved greater agility and operational efficiency while delivering an enhanced customer experience. This modernization journey highlights the transformative power of cloud computing and intelligent workload automation in today’s competitive business landscape.

It can be challenging for companies to consolidate data from multiple sources into one system, which is why many use AWS Glue to build ETL workflows to load their data into data lakes. Learn how AWS has collaborated with Protegrity to enable organizations with strict security requirements to protect their data while being able to obtain the powerful insights. We’ll demonstrate how data tokenization for data in transit is performed using Protegrity’s Cloud API and AWS Glue.

AWS Graviton processors are designed to deliver the best price performance for your cloud workloads running in Amazon EC2 and the most cost-effective and performant choice for graph database workloads running Neo4j. Tests have shown that deploying Neo4j with AWS Graviton-based instances results in cost savings of up to 15% as well as a boost for write performance of up to 146% over equivalent Intel-based instances.

Many customers are looking to the cloud for savings, scalability, and efficiencies. The Komprise approach to unstructured data simplifies the planning and the movement of data—whether it’s a complete NAS/object migration or a continuous movement of data to AWS storage services. Explore a set of tools to help analyze and understand your data to help determine the right AWS services to place the data for the best match of performance and cost.