AWS Expert Series Podcast dives deep into real-world AWS architecture, cloud security, resilience, and scale. Hosted by Pradeep Rao and George Palangattil Koshy, this podcast goes beyond best practices to unpack how AWS systems actually behave in production—covering failures, design trade-offs, and lessons learned by experienced practitioners.

AWS Expert Series Podcast
Claim This Podcastby Pradeep
Podcast Overview
AWS Expert Series Podcast dives deep into real-world AWS architecture, cloud security, resilience, and scale. Hosted by Pradeep Rao and George Palangattil Koshy, this podcast goes beyond best practices to unpack how AWS systems actually behave in production—covering failures, design trade-offs, and lessons learned by experienced practitioners.
Language
🇺🇲
Publishing Since
2/25/2026
1 verified contact email on file for AWS Expert Series Podcast
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

May 27, 2026
#009: A deep dive into implementing Zero Trust principles across AWS workloads
<p>A deep technical exploration of how to implement Zero Trust across AWS workloads using IAM, STS, IRSA, VPC Lattice, PrivateLink, GuardDuty, CloudTrail, Security Hub, and AWS Verified Access. This episode breaks down identity-centric security, micro-segmentation, continuous verification, workload isolation, and automated response patterns for modern cloud-native architectures on AWS.</p>

May 18, 2026
#008: Identity-Centric Attacks and Containment in AWS
<p>Identity has become the primary attack surface in modern cloud environments. This episode explores how attackers abuse IAM, STS, IRSA, and trust relationships to move laterally across cloud workloads—and how to detect, contain, and respond using AWS-native services like Amazon GuardDuty, AWS CloudTrail, Amazon EventBridge, and AWS Step Functions. A deep technical dive into identity-driven defense, automated containment, and Zero Trust architecture in AWS.</p>

May 11, 2026
#007: From Detection to Containment: Engineering Runtime Security Workflows on AWS
<p>In this episode, we take a deep, technical dive into how modern AWS environments can move beyond detection into fully engineered, automated containment.</p><p>Using a real-world runtime scenario, the episode walks through how Amazon GuardDuty findings are ingested via Amazon EventBridge, enriched with Kubernetes and IAM context, and orchestrated through AWS Step Functions for deterministic response. It covers evidence preservation using Amazon S3 with AWS Key Management Service, controlled quarantine strategies across EKS and EC2, and identity containment using IAM boundaries and IRSA.</p><p>This is a hands-on blueprint for building cloud-native runtime security workflows—where detection, response, and auditability operate as a single, resilient system.</p><p>Ideal for CISOs, cloud architects, and security engineers looking to reduce blast radius, improve response time, and operationalize security at scale in AWS.</p>
9 total episodes available
Deep-dive analytics for AWS Expert Series Podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is AWS Expert Series Podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
