Category: Case Study

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.

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.

Amazon Q and generative BI are transforming business operations, and AWS Partners like ZS Associates, Tiger Analytics, and Compass UOL are pioneering use cases leveraging these technologies to build industry-tailored solutions that improve decision making, operations, fraud detection, software development lifecycles, and more. AWS provides resources to help partners develop and deploy such transformative generative AI offerings.

Connecting IoT devices securely to the cloud can be complex, but AWS IoT ExpressLink simplifies this by providing connectivity modules with built-in security from AWS Partners. Cardinal Peak used these modules to accelerate IoT product prototyping, avoiding hardware redesigns, simplifying firmware, using pre-installed certificates, streamlining manufacturing, and enabling efficient cloud onboarding. Overall, AWS IoT ExpressLink helped Cardinal Peak save over 6 months of engineering time.

Companies often need to securely share digital resources when collaborating, and the extranet provides a mechanism for this using cloud platforms like AWS. Alkira’s Extranet-as-a-Service (EaaS) solution enables secure global connectivity, network segmentation, NAT for overlapping IPs, and integrated security for partner access to AWS applications. Alkira reinvents networking for the cloud era and allows enterprises to build networks with cloud-like speed, agility, and scale.

Comprinno migrated a fitness app’s databases from Google Cloud to AWS to reduce costs. Challenges included migrating large PostgreSQL databases without downtime and accessing Google’s managed subnets. Comprinno established a VPN between clouds, used a SQL proxy to enable the AWS Database Migration Service, and parallelized data loading to meet the tight migration window. By moving to Graviton-based Amazon RDS, the customer reduced database costs by 30%.

Explore how LenelS2, a Carrier company, transformed its existing OnGuard thick-client application into a software-as-a-service (SaaS) solution on AWS utilizing the multi-session feature of Amazon AppStream 2.0. With this approach, LenelS2 successfully streamed the OnGuard desktop application to users via the internet without the need to redesign the core application.

Instinet is a SaaS-based solution that Ness Digital Engineering built on AWS for the trading and finance industry. It provides technologically advanced brokerage services and helps institutional investors improve performance by reducing complexity and costs. The solution modernized Instinet’s trade processing and solved challenges with Instinet’s previous on-premises, batch-driven architecture.

SaaS relies on the cloud for efficient delivery, but faces data challenges like tenant isolation, high storage costs, and compliance requirements. Amazon FSx for NetApp ONTAP solves these by providing multi-tenancy, storage efficiencies, persistent Kubernetes storage, and more. It enables SaaS providers to enhance agility while managing data availability, protection, security and costs. Arcesium reduced dev/test refreshes by 80% and overall costs by 46% using FSx for ONTAP.

The True Elements Water Intelligence Platform on AWS transforms complex data into clear insights on local watershed conditions. It provides color-coded scores for water quality and availability to support decisions around capital planning, supply chains, policy, reporting, forecasting, risk management, and innovation. Real-world examples show how the platform guides collective action on pollution, reveals supply chain vulnerabilities, and identifies opportunities for water resilience through targeted investments.