Explore common pitfalls and lessons learned in Amazon Web Services (AWS) implementation through this informative panel discussion. Gain insights from experienced professionals as they share their mistakes and provide valuable advice on avoiding costly errors when working with AWS's extensive suite of services. Learn about unit economic costs, research and development considerations, AWS Glacier usage, Single Sign-On migration, auto-scaling best practices, DevOps pipelines, S3 outages, CPU scaling, total cost of ownership, organizational changes, infrastructure responsibilities, continuous improvement strategies, budget management, scaling triggers, and AWS metrics. Benefit from the collective wisdom of Keith Gregory, Eric Schmidt, and Bill Thompson as they discuss their experiences and offer practical tips for navigating the complexities of AWS.
AWS: Things I Learned the Hard Way - Avoiding Common Mistakes in Amazon Web Services
Overview
Syllabus
Preamble
Introduction
Eric Schmidt
Bill Thompson
Unit Economic Cost
Dont do your RD in US East
AWS Glacier
Single SignOn Migration
Registration Cycle
Auto Scaling
DevOps Pipeline
S3 Outage
CPU as Scaling
Total Cost of Ownership
Organizational Changes
Infrastructure Responsibility
Continuous Improvement
Budgets
Scaling triggers
AWS metrics
Wrap up
Taught by
ChariotSolutions
