Cost Optimization in AWS, Azure and Google Cloud Platform
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
- Technical Leaders
- Development Managers
- Solution Architects
What you’ll learn
- Optimizing the cost of virtual machines
- Optimizing the cost of databases
- Automating the cost optimization