Serverless & Microservices Epic Fails!

Serverless & Microservices Epic Fails!

Challenges in High Scale Streaming Monitoring: • Setting up a tool to monitor streams for perceptual quality issues • Realizing the high cost and scaling bottlenecks while onboarding more streams Moving from Distributed to Monolith Architecture: • Identifying distributed systems overhead as a challenge with scaling limits and cost • Transitioning to a monolith application to simplify orchestration and reduce costs Addressing Scaling Bottlenecks: • Rearchitecting infrastructure to pack components into a single process • Migrating to a new architecture to reuse code and vertically scale detectors Deploying More Detectors for Service Scaling: • Cloning the service and parametrizing copies with different subsets of detectors • Implementing a lightweight orchestration layer for distributing customer requests Results and Takeaways: • Reducing infrastructure costs by over 90% by moving to a monolith • Improving scaling capabilities to handle thousands of streams and optimize costs Innovations with High Scale Monitoring: • Replicating a media conversion process closer to detectors for better monitoring • Monitoring all streams to enhance quality and customer experience Amélie Werner's Leadership and Innovation: • Empowering colleagues through the redesign of user experience at Prime Video • Embracing Amazon's Leadership Principles while prioritizing team for customer innovation

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Episoder(138)

Why Enterprises Suck at AI

Why Enterprises Suck at AI

Enterprises are struggling with AI for reasons that have less to do with the models and more to do with the way large companies operate. Many organizations rushed into AI because of hype, not because ...

25 Mai 14min

Are Hyperscalers Turning Consulting Firms into Sales Channels?

Are Hyperscalers Turning Consulting Firms into Sales Channels?

This commentary argues that Google Cloud's "agentic enterprise" partner push is less an open ecosystem strategy than a carefully structured channel motion designed to increase platform dependency. Goo...

21 Mai 13min

Why You Still Can't Get a Cloud Job in 2026

Why You Still Can't Get a Cloud Job in 2026

If you are struggling to land a cloud computing job in 2026, this video breaks down the ugly truth nobody wants to say out loud. The market is not just competitive, it is distorted. Too many job seeke...

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The DRAM Squeeze Pushing Enterprises to Cloud

The DRAM Squeeze Pushing Enterprises to Cloud

This video breaks down a troubling dynamic in the server market: the biggest cloud providers may be helping drive the DRAM shortage and then benefiting when enterprises are forced to react. According ...

14 Mai 11min

Why Consultants Keep Recommending Bad Tech

Why Consultants Keep Recommending Bad Tech

AI consulting is being sold as the next great enterprise revolution, but too much of the market looks more like a land grab than real transformation. In this video, I break down why so many consulting...

11 Mai 12min

Why Digital Transformation Stalls: Cloud, Culture, AI Governance, and Workforce Readiness

Why Digital Transformation Stalls: Cloud, Culture, AI Governance, and Workforce Readiness

This session explores why digital transformation efforts often stall even after major cloud investments. The core issue is that infrastructure can be modernized faster than culture, governance, and wo...

7 Mai 34min

Public Cloud Reliability Sucks. Let's Stop Pretending

Public Cloud Reliability Sucks. Let's Stop Pretending

Public cloud reliability sucks, and the industry has spent years pretending otherwise. The sales pitch is always the same: better uptime, better resilience, less operational pain. But when public clou...

4 Mai 10min

The Great Agentic Distraction: Why Cloud Innovation Just Slowed Down

The Great Agentic Distraction: Why Cloud Innovation Just Slowed Down

In this video, I break down what I call the Great Agentic Distraction: the growing tendency of cloud providers to pour talent, capital, and roadmap attention into agentic AI while slowing improvement ...

30 Apr 10min

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