Category: Architecture

Winning and retaining customers requires thoughtful engagement fueled by customer data. While legacy customer data platforms (CDPs) aggregate data, they also create silos. RudderStack’s warehouse-native CDP built on Amazon Redshift provides flexible data pipelines to collect, unify, and activate customer data. This eliminates silos and establishes a single source of truth to enable teams to collaborate and create tailored customer experiences that drive growth.

Infosys is leveraging AWS generative AI capabilities like Amazon Bedrock and AWS Trainium to enhance its enterprise solutions. For example, Infosys Personalized Smart Video uses Amazon Bedrock to create rich, dynamic video content, while Infosys Cortex applies generative AI to analyze call transcripts and improve customer engagement. Overall, Infosys is rapidly adopting AWS’ flexible and scalable generative AI services to boost automation, productivity and user experience across its portfolio.

Cloud data storage has reduced costs but created data integration challenges. As a data integration pattern, extract, transform, load (ETL) processes are falling short, as they can be time-consuming and brittle. Denodo’s data virtualization platform simplifies integration by creating a unified logical layer, eliminating ETL. Combined with AWS services, Denodo enables agile, real-time decisions without moving data while accelerating time-to-insight.

Many Kubernetes applications require access to persistent storage and data services, including block storage, shared file systems, and object storage. Learn how MYCOM OSI has improved the cost-performance dimension by adopting Amazon FSx for NetApp ONTAP. This post explores how the storage option was evaluated to identify a solution that optimizes the handling of large and complex telco assurance datasets.

One of the most rigorous activities in the aviation industry is the aircraft’s operational maintenance. It’s a complex analytical task that’s often performed manually. Learn how Capgemini developed a solution called Lifecycle Optimization for Aerospace which aims to accelerate adoption of circular economy practices within the aviation industry. Built on AWS, it analyzes parts documentation and inspection processes, allowing optimization of its lifecycle by turning unstructured usage data into digital assets.

Multi-account strategy is an architectural pattern in which your workloads and services are distributed across multiple accounts. Using a multi-account strategy enables a well-architected platform that’s scalable and secure. Learn about the thought process and frameworks DXC Technology adopts in building a secure, resilient, and scalable enterprise landing zone to support your multi-account strategy and business journey on AWS.

Neo4j is a graph data platform that, together with Amazon Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using Amazon Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.

Explore the hybrid-tenant architecture Sela designed and implemented for Dittofi’s hosting platform. We’ll focus on the underlying architecture of the Dittofi hosting platform where tenant workloads run, as well as the architecture for the hybrid-tenant control plane that enables the provisioning, de-provisioning, and updating of tenants. We’ll pay special attention to the user experience during the development of no-code applications and the measures Sela put in place to enable near-real-time code generation.

In this post, AWS experts provide a step-by-step guide on how to navigate and leverage the AWS Partner Network (APN) and AWS Marketplace, depending on where you are in your development journey. We’ll demonstrate how your security and engineering teams can integrate continuous compliance controls and how to add compliance reports and certifications to your product profile as you obtain them. Finally, we’ll show the AWS customer’s experience of obtaining access to your product’s security information.

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.