Tag: AWS Partner Solutions Architects (SA)

Most banks are still running legacy core systems developed over 30 years ago for mainframe computing. These software applications pre-dated the internet and were monolithic by design. Finxact is an AWS Partner that was begun five years ago by a team of engineers with deep experience in the design of core banking systems. Its mission was to couple this domain expertise with the most modern cloud-based technologies and programming languages to produce a core platform for the modern era of banking.

Working with AWS, IronNet delivers threat detection and mitigation at scale across networks that are on premises, in the cloud, or both. IronNet collects logs and traffic data to identify indicators of attack or abnormal behavior in order to stop advanced cyberattacks. At its foundation, the IronNet solution consists of one or more sensors to feed network data and logs to IronDefense—the backend collection and analysis point for detection.

DXC Technology offers a suite of application services to migrate a customer’s application portfolio from a legacy infrastructure to the container management service in the most efficient manner. These services are bundled under DXC’s Applications Containerization as a Service (aCaaS) offering and enable organizations to leverage the seismic shift in application hosting with containerization. Learn how some of the challenges encountered during legacy migration can be successfully mitigated using AWS App2Container.

The State of Utah’s Office of Recovery Services has successfully moved a 25-years-old mainframe application to AWS GovCloud (US)—in budget and on time—using mainframe modernization capabilities from Deloitte and AWS. The story behind this effort shows how beneficial such a move can be, from a day-to-day perspective and from a strategic perspective. It demonstrates that a high degree of automation and standardization makes this a riskless approach for getting rid of legacy technology such as COBOL and VSAM.

Dremio Cloud is a cloud lakehouse platform on AWS that democratizes data and provides self-service access to data consumers by connecting business intelligence users and analysts directly to data on Amazon S3 and beyond. Learn about the benefits of Dremio Cloud, how to set it up, and start using Dremio’s high-performance lakehouse platform in less than 15 minutes. Review Dremio Cloud’s key features and explore a getting started tutorial with sample datasets.

For many organizations, SAP S/4HANA adoption is often hindered by cost and time constraints or concerns about business continuity. With TCS Crystallus pre-configured industry and business solutions, Tata Consultancy Services (TCS) helps organizations overcome these challenges and provides a seamless journey to SAP S/4HANA with cloud adoption of AWS for their mission-critical SAP workloads.

Kublr is a Kubernetes management platform which accelerates and controls the deployment, scaling, monitoring, and management of Kubernetes clusters. Learn how provisioning and managing Kubernetes clusters across multiple regions can be simplified with Kublr, ensuring quick deployment of a production-ready, operationally mature, multi-region, cloud-native container management platform-based Kubernetes.

Migrating to the cloud has allowed many organizations to reduce costs, innovate faster, and deliver business results more effectively. Managing, securing, and having visibility across endpoints, networks, and workloads is not an easy feat and requires a unified defense-in-depth approach. Learn how CrowdStrike’s leading endpoint protection, workload protection, and threat intelligence directly integrate with AWS services to build an effective defense-in-depth solution to stay ahead of threats.

AWS Lambda allows you to run your code without provisioning or managing servers. Observability requires a different and more integrated set of telemetry that gives a comprehensive picture of your functions. Learn how this AWS service is used in practice and how Sumo Logic helps demystify Lambda observability by streamlining telemetry ingestion, unifying data, and correlating insights across disparate services.

To quickly build intelligent data-driven workflows, organizations need business analysts to work with data scientists and development teams to unlock useful insights from unstructured or semi-structured data. Learn how KNIME’s end-to-end data science product portfolio helps bridge the gap between the ideation and productionalization steps of data science projects, while also assisting in the communication of key data science aspects between teams.