AWS Partner Network (APN) Blog
Category: Architecture
Automate security and observability with Elastic and Amazon Bedrock
As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.
Transform enterprise visual content with Amazon Nova and Bria Fibo
Learn how the integration of Amazon Nova multimodal intelligence with Bria Fibo’s deterministic visual foundation model solves the enterprise challenges of unpredictable outputs, inconsistent branding, and legal uncertainty in AI image generation. This post explores how structured Visual Generation Language (VGL) and 100% licensed training data deliver reproducible, brand-consistent visuals at scale—transforming generative AI from an experimental technology into a production-ready content pipeline available in AWS Marketplace and Amazon SageMaker AI.
Generative AI using TiDB and Amazon Bedrock
What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.
Build a secure, scalable deployment pipeline with CircleCI’s AWS Deployment Pipeline Reference Architecture implementation
Modern software teams no longer need to choose between deployment speed and security. CircleCI’s implementation of the AWS Deployment Pipeline Reference Architecture demonstrates how to build enterprise-grade deployment pipelines that deliver 50% faster deployments while reducing security vulnerabilities by 85%. This reference implementation combines the robust cloud infrastructure of AWS with the flexible CI/CD platform of CircleCI, providing a ready-to-fork blueprint that organizations can customize and deploy in an afternoon.
Reduce Vulnerabilities on AWS with Orca Security’s Reachability Analysis
Orca Security’s innovative Reachability Analysis solution addresses the growing challenge of vulnerability management in AWS environments, offering a critical response to the 34% year-over-year increase in vulnerability exploitation reported in 2025. The solution combines Agentless Reachability Analysis, utilizing patented SideScanning™ technology for deep static inspection, with Dynamic Reachability Analysis through their eBPF-based Orca Sensor, providing comprehensive visibility across AWS services including Amazon ECR, EC2, Lambda, ECS, and EKS. Through this dual approach, organizations can achieve a 90% reduction in exploitable vulnerabilities while significantly reducing alert fatigue, as the system intelligently distinguishes between truly exploitable vulnerabilities and those that pose minimal risk in production environments.
Seeq’s Advanced Analytics on AWS boosts Manufacturing Sustainability
Seeq’s advanced analytics platform, built on AWS, helps manufacturing companies track and reduce their carbon emissions by providing real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, as demonstrated through three customer use cases including a global chemical company that reduced LCA assessment time by 90%. The platform integrates with various data sources and AWS services like the Sustainability Insights Framework, enabling manufacturers to make data-driven decisions for sustainability improvements while meeting regulatory requirements and corporate environmental goals.
How AWS Partners can Deliver Anti Fraud Solutions using AWS GenAI and Amazon Neptune Graph Capabilities
This blog presents AWS Partners with an example architecture of an anti-fraud solution that combines Amazon Neptune’s graph capabilities with Amazon Bedrock’s generative AI. By showcasing this innovative architecture for near real-time fraud detection using Graph Neural Networks and natural language processing, the post aims to help partners rapidly develop customized demos and proofs of concept for customers battling increasing cyber fraud across various industries.
Using Miro to enable collaborative DevOps on AWS
Miro is an innovation workspace that empowers AWS cloud architects, DevOps teams, and cloud consultants to accelerate cloud transformations from discovery to delivery, with built-in AI tools for architecture design, agile product development, and client engagement. Learn how Miro supports AWS customer processes like well-architected reviews, architecture visualization, and infrastructure cost optimization through AWS-specific resources and integrations, enabling distributed teams of any size to collaborate.
Accelerate Microsoft Workload Modernization on AWS with Softchoice
Discover how AWS Partner Softchoice helped a Canadian automotive intelligence company successfully modernize their Microsoft workloads on AWS in just six months. Learn about their proven approach to migration, modernization, and operational readiness that can help your organization achieve similar results.
Benefits of Productizing Camunda on AWS
Camunda as an AWS Partner is looking strategically into enabling business orchestration at scale by leveraging AWS’s cloud services. The collaboration focuses on key areas like AWS Marketplace listing, the AWS Partner Network, co-selling and more to come. By combining Camunda’s expertise in automation with AWS’s cloud capabilities, the partnership aims to accelerate digital transformation, optimize operations, and enhance competitive advantage for customers.








