AWS Partner Network (APN) Blog

Accelerating AWS Partner Success: New Initiatives to Drive Customer Value in 2025

Learn about new initiatives launched at re:Invent 2024 and how these innovations will streamline co-selling with AWS, enhance collaboration opportunities, accelerate selling Partner solutions in AWS Marketplace and beyond, and leverage cutting-edge AI technologies to drive unprecedented growth.

Shorthills AI teams with AWS and DataStax to transform Enterprise Data Search

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS

Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS

This post will explore what a composable CDP is and why organizations are embracing this new approach to data activation. Additionally, it will explain how organizations can integrate GrowthLoop’s composable CDP platform with their existing AWS infrastructure to enable an AI-powered feedback loop for smarter campaign activation.

Building a Veeam powered Backup as a Service using AWS

To help service providers offer a seamless way to manage their customers’ backup repositories, Veeam introduced Cloud Repository, an off-site backup location in the cloud. Service providers can start providing Cloud Repository to customers by deploying a Veeam Cloud Connect (VCC) server, which supports multi-tenancy, encryption, and other features for service providers. This blog post provides an overview on how Veeam service providers can configure a BaaS platform in AWS and provide an off-site backup solution to protect any type of workload – virtual, physical, or cloud.

Running GenAI Inference with AWS Graviton and Arcee AI Models

The growing demand for generative AI (GenAI) applications has led to a corresponding demand for compute resources that can run these workloads efficiently. In this post we share a step-by-step guide for optimizing GenAI inference workloads using AWS Graviton-based instances. We walk you through downloading Arcee AI SLMs, applying quantization techniques, and deploying models for efficient inference on AWS Graviton instances.

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Prevent Secret Sprawl with HCP Vault Radar

Discover how HashiCorp’s HCP Vault Radar helps organizations combat secret sprawl by providing automated detection and analysis of secrets across enterprise environments. Learn how this AWS Marketplace solution integrates with AWS services like Systems Manager Parameter Store and S3 to enhance security posture and maintain compliance through continuous scanning and remediation capabilities.

Digitalizing Batch Records in Pharmaceutical Production with Aizon

Aizon Execute, an intelligent Batch Record (iBR) SaaS platform built on AWS, helps pharmaceutical manufacturers transition from inefficient paper-based batch records to digital documentation. Aizon Execute enable them to reduce manufacturing costs by 20-30% and unlock up to $100 billion in manufacturing optimization potential. The platform’s 90-day implementation process digitalizes batch records, accelerates compliance, improves operational efficiency, and provides real-time data visibility for proactive decision-making, as demonstrated by successful implementations like Euroapi’s transformation from paper-based processes to digital innovation.

Ingest and Enrich Security Findings Delivered by Amazon EventBridge with Dynatrace

By Valeriy Leykin, Senior Product Manager – Dynatrace By Erick Leon, Senior Manager Global Tech Alliances – Dynatrace By Shashiraj Jeripotula, Principal Partner Solutions Architect – AWS Dynatrace In complex cloud environments, security findings are often siloed across build-time and runtime tooling, and spread across various environments. Therefore, obtaining a holistic view of your security […]

The Future of Hyper-Personalization Powered by Braze and AWS Generative AI

The Future of Hyper-Personalization Powered by Braze and AWS Generative AI

Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS’s advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers’ individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we’ll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.

Building Resilient Distributed Systems with Temporal and AWS

Learn how Temporal’s workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal’s solution, on AWS, enables durable execution across organizations.

Next-Generation Data Integration with AWS Data Services and Dataddo

Dataddo simplifies data integration on AWS through its comprehensive feature set. The platform includes pre-built AWS connectors and fully managed pipelines for seamless integration. Its coding-optional interface enables both technical and non-technical users to manage data workflows effectively. The built-in quality and compliance mechanisms further streamline operations, significantly reducing the engineering resources needed for data processing. This allows both, data teams and business teams to focus on deriving meaningful value from their data.