In this episode, we dive deep into the latest AWS Partner Network blog highlights from August and September, showcasing the remarkable breadth of partner innovation. We explore the launch of AI agents and tools in AWS Marketplace, revealing how autonomous software is revolutionizing enterprise solutions through natural language search and sophisticated orchestration. We discuss strategic approaches for open source founders navigating commercialization with AWS Global Startup Program support, then shift gears to examine how generative AI is breathing new life into legacy COBOL systems through containerization on Amazon ECS. We conclude with compelling vertical AI applications, from Deepgram's voice AI transforming healthcare documentation to Deepbrain AI's deepfake detection technology helping law enforcement distinguish real from synthetic media, demonstrating how specialized AI solutions are tackling high-stakes enterprise challenges across industries.

Blog Links:

* https://aws.amazon.com/blogs/apn/pioneering-ai-detector-by-deepbrain-ai-with-aws-rekognition/

* https://aws.amazon.com/blogs/apn/modernizing-healthcare-with-generative-voice-ai-using-deepgram-on-aws/

* https://aws.amazon.com/blogs/apn/modernize-cobol-workloads-with-amazon-eks-powered-by-generative-ai/

* https://aws.amazon.com/blogs/apn/building-your-open-source-commercial-strategy-with-aws/

* https://aws.amazon.com/blogs/apn/aws-partner-guide-to-ai-agents-and-tools-in-aws-marketplace/

To reach us:

* aws-partner-unplugged-podcast-hosts@amazon.com

In this episode, we discuss the growing adoption of Apache Iceberg as a modern data lake format,

exploring how it's becoming the preferred choice for customers migrating from on-premises to cloud

-native architectures. The conversation covers AWS's deep integrations with Iceberg through

services like Amazon S3, AWS Glue Data Catalog, and SageMaker Lake House, as well as how key

partners like Starburst and Snowflake are enhancing the ecosystem with powerful connectors that

enable federated querying, flexible catalog management, and seamless data interoperability. We

highlight how organizations can easily migrate existing Parquet and ORC data lakes to Iceberg

without rewriting underlying data files, and emphasize that this shift represents a move toward

future-proof data architectures focused on ease of use, consistent governance, and reduced

development time rather than just cost optimization.

Contact us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Antony: https://www.linkedin.com/in/antony-prasad-thevaraj-04398518/

Links:

• https://aws.amazon.com/blogs/storage/build-a-managed-apache-iceberg-data-lake-using-starburst-and-amazon-s3-tables/
• https://aws.amazon.com/blogs/big-data/use-apache-iceberg-in-your-data-lake-with-amazon-s3-aws-glue-and-snowflake/

In this episode of AWS Partners Unplugged, Tarek Makota, Senior Principal Solution Architect at AWS, discusses building resilient SaaS applications for ISV partners. We explore AWS fault isolation boundaries through regions and availability zones, explaining how proper application design can contain failures and prevent them from spreading across an entire customer base. We discuss the misconception that multi-region deployments automatically provide higher resilience, emphasizing that single-region architectures can achieve high availability when properly designed to honor fault boundaries between control planes and data planes. We cover key strategies including load shedding, careful retry implementation to avoid amplifying problems, identifying critical user journeys, and leveraging AWS services like Application Recovery Controller and its Zonal Auto Shift feature, along with Fault Injection Simulator for testing and recovery.

Links:

• https://aws.amazon.com/resilience-hub/
• https://docs.aws.amazon.com/prescriptive-guidance/latest/resilience-analysis-framework/introduction.html
• https://docs.aws.amazon.com/prescriptive-guidance/latest/resilience-lifecycle-framework/introduction.html

Contact us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Tarik: https://www.linkedin.com/in/tarik-makota/