Explore scaling microservices using message queues, .NET, and Kubernetes in this 42-minute conference talk. Dive into the challenges of building scalable and robust applications at scale, and learn how to leverage Kubernetes' autoscaler feature for dynamic scaling based on custom metrics. Discover techniques for designing, packaging, and deploying reliable .NET applications to Kubernetes while decoupling components with a message broker. Gain insights into setting autoscaling rules to handle increasing message influx in queues. The talk covers topics such as backend performance testing, automatic scaling, decoupling failures, container deployment, and working with tools like Prometheus. Explore concepts from industry experts and organizations like CNCF, and get hands-on experience through live demonstrations of Horizontal Pod Autoscaler (HPA) with Prometheus metrics.
Scaling Microservices with Message Queues, .NET, and Kubernetes
Overview
Syllabus
Introduction
GitHub
Demo
Backend
Performance tests
Lets get ready
Its game over
Amazons website crash
Automatic scaling
Decouple scaling
Decouple failures
Message broker
Scaling independently
Scaling automatic
Smallt Cloud
CubaNet
Containers
Deployment
Master Node
Nettie
Demo Time
Prometheus
Elton Stillman
Brandon Burns
Sam Newman
CNCF
CNCF Website
CNCF Products
CNCF Trail Map
Buy Learn Back
Cutter Coder
Learn Simple
Digital book
Create a private cloud
Raspberry PIs
Windows Nodes
Strangler Pattern
Giving back
Live Demo
HPA with Prometheus
Metrics
Taught by
NDC Conferences
