
Tune In to AWS
Create Your Own Automated Podcast
Jean Malha
Amazon Employee
Published May 13, 2025
Last Modified May 19, 2025
Written by Manish Chugh Principal Solutions Architect and Jean Malha Senior Specialist Solutions Architect - AWS
In the rapidly evolving world of cloud computing, staying up-to-date with the latest AWS features and services can be challenging. What if you could listen to AWS updates during your commute or workout? In this article, let's explore how to build an automated system that transforms AWS “What's New announcements” into an audio podcast.
While there are other AWS podcasts available, such as AWS Developers Podcast, this automated solution fills a unique niche. Unlike other podcasts that focus on deep dives, interviews, or commentary, this solution focused solely on What's New announcements without editorial commentary, and quick consumption using brief, concise episodes perfect for busy professionals. This solution is going to be real-time automated information updates as soon as AWS releases new features, and in a standardized delivery format without the variability of human hosts. Users will be able to have on-demand Access and listen to specific updates rather than waiting for weekly episodes.
What Makes This Podcast Solution Different?
This podcast solution stands out through several distinctive features, beginning with its AI-driven content curation. At its core, the Foundation Model transforms each announcement into a consistently engaging format, taking complex technical details and automatically restructuring them for optimal audio consumption. This solution also breaks down intricate concepts into segments that listeners can easily understand and digest.
The solution's customization capabilities set it apart. Users have the flexibility to filter updates according to specific AWS services that interest them most. The implementation is designed with user preferences in mind, allowing for personalized feed creation. Looking ahead, the system has the potential to incorporate severity levels and urgency indicators, further enhancing its utility for users.
Integration capabilities are other benefit of solution. The system integrates with existing DevOps workflows, while offering the potential for automated transcript generation and show note creation. Furthermore, it maintains direct links to AWS documentation, ensuring users can easily access additional information when needed.
Perhaps most significantly, this solution offers time-to-market advantage. Unlike traditional AWS podcasts that might require days or weeks to cover new announcements, this automated system can deliver updates within hours of their release. This rapid response time proves particularly valuable for critical updates such as security patches, new feature releases, regional availability announcements, and price changes. This speed-to-market capability ensures users stay current with the latest AWS developments, making it an tool for professionals who need to stay ahead in the fast-moving cloud computing landscape.
The Architecture

The technical implementation of this podcast solution begins with feed ingestion. At its core, an AWS Lambda function is configured to fetch the AWS What's New with AWS** RSS feed periodically (Using Eventbridge Scheduler as a trigger makes that effortless). This function processes the incoming XML content and extracts the announcement titles and descriptions that will form the basis of the podcast content. It also filters on the number of days that the user may want to see.
The heart of the solution lies in its podcast script generation capabilities. Leveraging the power of Amazon Bedrock, the system employs advanced Foundation Models, specifically Amazon Nova Lite, to transform the raw announcement content into engaging, well-structured podcast scripts. This AI-driven approach ensures consistency while maintaining a natural, conversational tone that resonates with listeners.
The solution then moves into the text-to-speech conversion phase, where Amazon Polly transforms the generated scripts into natural-sounding audio content. The implementation incorporates generative voice technology, which adds an extra layer of engagement and authenticity to the narration, making the content more engaging for listeners.
Code Sample:
The final piece of the solution is the distribution system, which ensures delivery of content to listeners. This involves creating a podcast-compatible RSS feed that works smoothly across various podcast platforms. The solution leverages Amazon CloudFront's global content delivery network to ensure reliable and fast access to the podcast feed worldwide. Furthermore, the system includes automatic update mechanisms that keep popular podcast directories synchronized with the latest content, ensuring listeners always have access to the most current AWS announcements and updates.
This solution leverages a fully serverless architecture, eliminating the need for infrastructure management and significantly reducing operational overhead. This architectural choice allows teams to focus on content delivery rather than system maintenance, making it an ideal choice for organizations of all sizes.
The implementation's cost-effectiveness is another key advantage, as the solution is designed to scale seamlessly with content volume. The pay-as-you-go model of serverless computing ensures that costs remain proportional to actual usage, making it an economically viable option for both small and large-scale deployments.
Users can rely on the system's consistent delivery mechanism, which ensures AWS updates are regularly transformed into high-quality audio content. This reliability is crucial for professionals who depend on timely information about AWS services and updates, as they can count on receiving new content through their preferred podcast platforms without interruption.
The solution also addresses the growing demand for accessible content formats by catering to users who prefer or require audio-based information consumption. This accessibility feature makes AWS updates more inclusive, allowing users to stay informed while multitasking, during commutes, or in situations where reading text content might not be practical or possible.
Looking ahead, this system could evolve to include:
- Multi-language support
- Voice selection based on content type
- Sentiment analysis for prioritizing critical updates
- Community feedback integration for content refinement
Stay up-to-date with AWS announcements through this podcast solution that transforms technical updates into easily accessible audio content. Powered by a sophisticated combination of AWS services including Amazon Bedrock, Lambda, Polly, and CloudFront, this automated system delivers timely and engaging audio updates to developers, architects, and cloud enthusiasts on the go.
Are you interested in implementing this system or facing any challenges implementing it? Let us know in the comments, and we can dive deeper into specific components or challenges you might face during setup.
Happy podcasting!
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.