Software-Defined Everything (SDx/SDE) is a broad term. Software-Defined Everything is one of the broader trends in current IT technology. It serves to group a variety of software-defined computing technologies. SDE/SDx is an advance in technology that allows virtualization of the entire technology stack computer network, storage, and security layers. Software-Defined Everything aims to make information technology (IT) infrastructures more flexible and agile.
Software-Defined Everything (SDE) is a container term where the umbrella of SDE/Sdx includes Software Defined Networking (SDN), Software-Defined Storage (SDS), and Software-Defined Data Center (SDDC).
Treating Information Technology as Software Defined reduces cost, reduces mistakes, and makes everything faster and flexible by opening new opportunities in the technological world. In a Software-Defined Everything (SDE/SDx) environment, management and control of the networking, storage, data center infrastructure, etc are automated by intelligent software rather than by hardware components of infrastructure.
Umbrella of Software Defined Everything :
The below figure illustrates the Umbrella of Software Defined Everything –
If we will see the above figure it clears that Software-Defined Everything (SDE) has more impact on Cloud, Infrastructure, and Automation.
1. Infrastructure :
Nowadays IT infrastructure can be implemented as software with the support of standard hardware where the computing infrastructure is virtualized and delivered as a service.
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Software-Defined Computer-
The virtualization of servers helps to save hardware and software costs and increases flexibility in dealing with computer resources. -
Software-Defined Storage –
In Software-Defined Storage (SDS) physical storage hardware is decoupled and uses storage media such as NVMe, SSD, or HDDs in server hardware to provide virtual storage. - Software-Defined Network – In Software Defined Network (SDN) the network architecture is abstracted to make network devices programmable.
2. Cloud :
A wide range of on-demand IT services/computer system resources are delivered to the organizations or to the customers as per their requirements over the Internet.
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Infrastructure as a Service (IaaS) –
Virtualized computing resources over the internet. It provides instant computing infrastructure which is provisioned and managed over the internet by the vendor/service provider. -
Platform as a Service (PaaS) –
The platform is provided to the customer to develop and deploy the application in the cloud. PaaS environment takes care of load balancing and scaling of the application. -
Software as a Service (SaaS) –
Users are allowed to connect and use the applications over the internet. In this service provider hosts applications for customers and makes them available to these customers via the internet. -
Function as a Service (FaaS) –
In Function as a Service (FaaS) modular pieces of code on the edge are executed. It provides a platform that allows customers to develop, run, and manage application functionalities without worrying about the complexity of building and maintaining. -
Backup as a Service (BaaS) –
In Backup as a Service (BaaS) data is backed up/ stored in cloud backup and recovery services from an online data backup provider. It refers to a modern alternative to traditional data backup approaches.
3. Automation :
Automation refers to a code approach that means everything needs to be programmed to work automatically. It enables IT to be kept more flexible, fast, secure, and stable.
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Infrastructure –
The infrastructure in the Automation approach allows you to define and manage your IT infrastructure with configurable software. -
Build and Test –
Build and test in Automation approach Build and test processes automated. In this results remain traceable. -
Installation –
The installation in the Automation approach allows the configuration of operating systems and the installation of applications to be automated. -
Monitoring –
The monitoring in Automation approach allows automatic monitoring (provides technical assistance like identifying and correcting errors etc) and data collection process.