Other Project Cost Management

Cost Optimization in AWS, Azure and Google Cloud Platform

Reduce Your Spend on AWS, Azure and Google Cloue
New
Rating: 4.4 out of 5 (24 ratings)
5,436 students
Created by Aref K.
Enroll now
Cost Optimization in AWS, Azure and Google Cloud Platform
New
Rating: 4.4 out of 5 (24 ratings)
5,437 students
Buy now
Optimizing the cost of virtual machines
Optimizing the cost of databases
Right-sizing
Automating the cost optimization

Requirements

  • No prior knowledge is required
Description

The use of cloud infrastructure has become the standard way of implementing IT platforms because they offer flexibility and services that are hard to achieve in a local data centre.  The problem is that the cost of cloud infrastructures can and will go up exponentially. For example, the average spending of companies on Amazon Web Services is $140,000 per year and it goes up to $830,000 per year for larger companies.

The interesting fact is that less than half of this money is spent on servers and databases which work in Production capacity. Companies are losing the exorbitant amount of money on server and databases that are used for development and testing purposes and so they are used for a certain amount of time each day.

I have created this course to show to engineers and managers that how they can optimize their spendings on AWS, Azure and Google Cloud Platform.

Who this course is for:
  • DevOps Engineers
  • DevOps Managers
  • Chief Technology Officers
  • Developers
  • Technical Leaders
  • Development Managers
  • Solution Architects
Course content
2 sections • 14 lectures • 1h 2m total length
  • Introduction
    03:13
  • Ways of Minimizing Your Bills
    07:28
  • Introduction to Save On Clouds
    03:13
  • Signing Up with Save On Clouds
    03:41
  • Connecting to AWS
    03:18
  • Connecting to Microsoft Azure
    04:28
  • Connecting to Google Cloud Platform
    02:48
  • Managing Cloud Resources
    06:27
  • Scheduling Resource Usage Times
    05:01
  • Working with Environments (Groups of Cloud Resources)
    07:18
  • Redis Cache
    03:52
  • Elasticseach Cluster
    03:13
  • Right Sizing Instances in AWS and GCP
    02:55
  • Spot and Reserved Instances
    06:00

Instructor
Aref K.
Chief Technology Officer
Aref K.
  • 4.3 Instructor Rating
  • 4,847 Reviews
  • 35,691 Students
  • 10 Courses

Aref is an experienced software engineer passionate about sharing his knowledge and experience with others.

He completed a masters degree in Software Engineering but his journey with programming began when he was just 13 years old (with a Commodore 64 computer).

At age 17, Aref sold his first commercial software, a real estate management program written in Turbo Pascal. He also developed an interest and high proficiency in 8085 and 8086 assembly languages. This interest led to a period where he worked in the electronics industry building industrial automation devices.

As a (cheeky) hobby, Aref worked on computer viruses that came to the attention of Peter Norton. Googling “Aref.890” turns up some interesting information!  

Since this time, Aref has continued to build a variety of enterprise software solutions using engineering tools and frameworks such as FoxPro, Delphi, C++, C#, Grafana, New Relic, TeamCity, and Bamboo.

Aref is also passionate about teaching, spending 3.5 years working as a high school teacher in Iran. He now channels this passion into online teaching and is grateful for the opportunity to teach many students around the world.

He has published two books around software development one of which was published when he was 19 years old.

Aref currently works in Australia as a technology leader, and he enjoys working with talented engineers and creating various software architecture solutions for clients.