Tag: AWS Partner Success Stories

By Satish Vaidhyanathan, Head, Integrated Solutions Design – Wipro By Sindhu Vaddi, Consultant, Data/Analytics/Intelligence – Wipro By Scott Willis, Sr. Partner Solutions Architect – AWS Wipro Traditional data stacks within an organization have a diverse mix of systems, tools, technologies, and architecture implementations. These data stack components require complex integrations to ingest, process, and store […]

In this exclusive interview for our blog, we sat down with Joaquin Lippincott, the CEO of Metal Toad, to delve into the innovative Securitoad Machine Learning Security SaaS solution. Joaquin generously shared his expertise on how they strategically built their latest offering on the AWS Marketplace. His insights offer invaluable lessons for software providers aiming to embrace this modern delivery mode.

We are proud to announce and acknowledge the ASEAN AWS Partners of 2024 that are helping customers accelerate innovation, develop industry-focused solutions, and build resilience amid the current evolving economic climate. AWS Partners play a pivotal role as strategic advisors and technology experts to accelerate cloud transformation in the region and drive local economic growth.

In the face of ever-stricter regulatory rules, rising client expectations for timely insights, and downward pressure on margins, wealth management firms are searching for ways to make their complex data management and reporting infrastructures less costly and more performant, reliable, and accurate—and able to support intraday reporting to better serve both internal stakeholders and clients. By leveraging the power and scalability of AWS along with Unqork’s codeless development platform, the firm was able to build highly scalable, transparent, event driven, and flexible data platform. By doing so, the firm will be able to deliver near real-time reporting, support more timely and powerful insights to advisor and client experiences, and power all new initiatives thanks to significant gains in operational efficiencies.

HCLSoftware’s automation product, HCL Workload Automation (HWA), now integrates with AWS Step Functions. This integration offers a comprehensive automation solution, streamlining complex workflows across cloud and on-premises environments. It enables organizations to automate more use cases with increased efficiency, scalability, and reliability, utilizing the robust AWS ecosystem of services. This strategic partnership empowers customers to transform their IT landscape through centralized, cloud-native automation.

Cisco Security Cloud uses Anchore to achieve FedRAMP compliance for its cloud solutions. Anchore integrates with Cisco’s AWS CodePipeline, Amazon ECR registry, and Amazon EKS to scan containers throughout the pipeline, enforcing vulnerability policies. Its integration allowed Cisco to expand Anchore to Amazon ECS and generate software bill of materials for the cybersecurity executive order. The comprehensive Anchore solution on AWS strengthened Cisco’s regulated security posture.

Organizations can enhance resilience by implementing Amazon Security Lake for centralized security data storage, Splunk for real-time data analysis, and Recorded Future for advanced threat intelligence. This unified approach tackles data silos, complex analysis, slow threat detection, compliance challenges, and inefficient resource utilization. Security Lake aggregates data sources, Splunk analyzes it with AI/ML for swift threat identification, and Recorded Future provides external intelligence context.

Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.

This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.

When designing IT solutions, a one-size-fits-all approach misses opportunities for performance and cost savings. Exxeta proposes a use-case driven architecture approach that fits IT components to specific business processes. A real-world example shows how this approach helped an automotive company build a high-performance, scalable analytics solution at a lower cost by utilizing fit-for-purpose technologies like Apache HBase and Amazon S3.