Understanding DevOps and Cloud Maturity Models: A Guide to Elevating Your IT Strategy
In today’s fast-paced technological landscape, DevOps and Cloud practices are integral to accelerating software delivery and optimizing cloud resources. But as
How do organizations run large-scale applications with a team of developers while deploying changes hundreds of times per day without breaking things?
In 1970 we had large Mainframe computers. They were primarily used for corporate and governmental organizations because they needed bulk data (Census, Statistics, Transaction Processing). All in all server-infrastructure was very expensive.
Humans did collaborate on creating and managing applications. The produced code needs to be pushed over the operations wall into the production environment.
Server-Infrastructure hinders to quickly react to customer needs. The product to market time was very long and was a cost center. And developers mashed in a quick change before going on vacation.
a.) Discourage change in the interests of stability or
b.) Allow change to happen as often as it needs to
Virtualization basically allows one computer to do the job of multiple computers, by sharing the resources of a single hardware across multiple environments.
A single operating system owns all hardware resources
It makes it possible to run multiple virtual computers on a single physical platform
"Virtualization uses a combination of software and hardware engineering that creates Virtual Machines (VMs)"
1 Reuse old hardware
2 Make a backup of your server for emergencies
3 Run headless for development
4 Create a Personal Cloud Computer
5 Run Linux on top of windows
6 Test software, upgrades or new configurations
7 Browse in complete safety
8 Access Virus-Infected Data
9 Run old apps
"By adapting Virtualization, a company can increase its development efficiency and productivity immensely!"
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