YoVDO

Using SLOs for Continuous Performance Optimizations of Kubernetes Workloads

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses Microservices Courses Scalability Courses Service-Level Objectives Courses Keptn Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore how to leverage Service Level Objectives (SLOs) for continuous performance optimization of Kubernetes workloads in this 37-minute conference talk. Discover the challenges of maintaining performance and scalability in microservices architectures deployed on Kubernetes. Learn about the CNCF project Keptn and its automated SLO-based Performance Analysis capabilities for Continuous Delivery processes. Understand common performance patterns and best practices for identifying architectural and deployment issues before they impact production. Gain insights into real-world examples, data-driven approaches, and a live demonstration of Keptn in action. Walk away with practical knowledge on preventing performance degradations, ensuring scalability, and meeting SLOs in Kubernetes environments.

Syllabus

Introduction
Performance Patterns
Captain
Datadriven approach
Real world examples
Summary
Learn more
Live demo
Wrap up


Taught by

CNCF [Cloud Native Computing Foundation]

Related Courses

Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX
Scalable Microservices with Kubernetes
Google via Udacity
Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
Introduction to Kubernetes
Linux Foundation via edX
Fundamentals of Containers, Kubernetes, and Red Hat OpenShift
Red Hat via edX