Sedai Blog

Why Autonomous Cloud Management is the Future

As businesses strive to meet evolving customer needs and maintain their competitive edge, autonomous cloud management emerges as a promising solution for the future. You can watch the full video here.

The End of Cold Starts: Autonomous Concurrency for AWS Lambda

A comprehensive overview of how Sedai addresses the challenge of cold starts through the implementation of autonomous concurrency. We explore the history of cold starts, their underlying causes, and their relationship with concurrency before showing how an AI based approach can resolve cold starts.

The Business Case for Autonomous Cloud Management

Join us on this exploration as we delve into the world of autonomous infrastructure, unveiling its potential to revolutionize large-scale systems and reshape the way we approach infrastructure development in an era defined by rapid technological progress. You can watch the panel discussion here.

Optimizing AWS ECS Costs: Sedai Demo & Walk-through

To kick things off, let's start with the onboarding process and get a glimpse of how Sedai works. Once your AWS account is onboarded and connected to Sedai, you'll gain visibility into all your ECS clusters. Sedai provides you with detailed insights into the actual cost of each cluster and offers cost optimization opportunities at various levels. You can explore service optimization, container instance optimization, and leverage different purchasing options to achieve cost savings. Sedai presents all these optimizations in a clear and user-friendly interface.

Moving to NoOps with Autonomous and Serverless

Throughout our conversation, we'll cover various topics, including the transformation of operations over time, its impact on developers, and the advantages of embracing a NoOps strategy. We'll examine how this approach can make it easier for you to hire exceptional developers and gain a competitive advantage. You can watch the full video here.

Cutting Serverless Latency by 50 with Autonomous Optimization

We will discuss the remarkable latency reduction achieved by fabric, thanks to the implementation of Sedai's solutions. By leveraging Sedai's expertise, fabric managed to slash latency by up to an astonishing 50%. We will explore the techniques and strategies employed by fabric, unveiling the secrets behind their incredible success

Cutting eCommerce Latency with Autonomous Optimization

Prakash Muppirala, the head of Platform Solutions at fabric discussed the importance of performance (specifically low latency for website pages) for ecommerce operations. They all understand that in the competitive world of eCommerce, every second counts, and delivering a seamless user experience is the key to success.

Autonomous Builds on Observability: Picking the right metrics

Learn strategies for enhanced system performance and reliability. See how observability metrics lay the foundation for autonomous systems, and how Palo Alto Networks approaches production metrics. Explore the potential problems associated with an overwhelming influx of data and metrics and how ML-driven correlation analysis can identify truly predictive metrics in an environment with multiple monitoring providers, multiple resource types, real-time data stress and predictive analytics. See how Palo Alto Network uses a multi-stage approach that includes a notice filter, aggregation, analysis, auto-remediation and notifications.

Using AI /ML for Fraud Detection & Scaling with Autonomous Operations

Manu Thapar, CTO of Mastercard discusses the application of AI/ML to credit card fraud detection systems and how moving from a rules based system tiio a system that can self-learn and operate autonomously was key to successfully keeping up with constantly changing credit card fraud risks. Manu spoke at autocon, Sedai's annual conference focused on autonomous cloud management