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

Episoder(123)

How Grab YANKED 200 Macs Back On-Prem and Crushed Costs!

How Grab YANKED 200 Macs Back On-Prem and Crushed Costs!

Grab, Southeast Asia's leading super-app for ridesharing and food delivery, recently completed a transformative overhaul of its app-building infrastructure by moving more than 200 Mac Minis from the c...

30 Mar 12min

I Called RSA — Here's What I Got Right

I Called RSA — Here's What I Got Right

David Linthicum returns with a follow-up to his RSA predictions video—this time to see what actually happened at last week's RSA Conference and which calls held up under real-world scrutiny. Before th...

28 Mar 17min

How Did I Go from Industry Expert to YouTuber with 500K Followers at 64?

How Did I Go from Industry Expert to YouTuber with 500K Followers at 64?

In this video, I explain how I built a successful YouTube channel by combining thought leadership, audience trust, and a focused content strategy. My growth did not start on YouTube alone. It was buil...

24 Mar 20min

Will the Cloud Move to Space? Here's What Happens Next

Will the Cloud Move to Space? Here's What Happens Next

We're on the edge of a real shift: the "cloud" may stop being purely a terrestrial phenomenon and become a layered network that includes orbit. The strongest case isn't that your favorite web app move...

16 Mar 12min

5 Unpopular Cloud Opinions (That Are Actually True)

5 Unpopular Cloud Opinions (That Are Actually True)

David Linthicum challenges the feel-good narratives that dominate cloud conversations and lays out five opinions that many teams avoid saying out loud. He argues that cloud repatriation is not a failu...

9 Mar 12min

The Slow Death of OpenAI: Nobody Wants to Admit This

The Slow Death of OpenAI: Nobody Wants to Admit This

OpenAI helped kick off the AI revolution, but behind the hype the numbers tell a much darker story. In this video, we break down how a company that once looked untouchable is now burning staggering am...

3 Mar 10min

The 5 Fundamental Cloud Mistakes AWS, Microsoft, and Google are Making Today

The 5 Fundamental Cloud Mistakes AWS, Microsoft, and Google are Making Today

Cloud didn't fail—cloud providers did. AWS, Microsoft, and Google sold "simplicity," then normalized pricing that needs a spreadsheet degree, architectures that punish small mistakes, and service cata...

2 Mar 8min

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Neoclouds are a new wave of GPU-first cloud providers built specifically for AI training and inference, offering a focused alternative to hyperscalers like AWS, Azure, and Google Cloud. Instead of opt...

26 Feb 12min

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