Software Defined Everything (SDx/SDE) is a broad term. Software Defined Everything is one of the broader trend in current IT technology. It serves to group a variety of software defined computing technologies. SDE/SDx is an advance in technology which allows virtualization of entire technology stack compute, network, storage, and security layers. Software Defined Everything aims to 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, makes everything faster and flexible by opening of new opportunities in the technological world. In a Software Defined Everything (SDE/SDx) environment, management and control of the networking, storage and 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 Automization.
1. Infrastructure :
Now a days IT infrastructure can be implemented as software by the support of standard hardware where the computing infrastructure is virtualized and delivered as a service.
- Software Defined Compute –
The virtualization of servers helps to save hardware and software costs and increases flexibility in dealing with compute 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 :
Wide range of on demand IT services/computer system resources are delivered to the organizations or to the customers as per their requirement over the Internet.
- Infrastructure as a Service (IaaS) –
Virtualized computing resources over the internet. It provides instant computing infrastructure which provisioned and managed over the internet by the vendor/service provider.
- Platform as a Service (PaaS) –
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 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 is executed. It provides a platform which allows customers to develop, run, and manage application functionalities without worrying about compexity 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 modern alternative to traditional data backup approaches.
3. Automation :
Automation refers to a code approach means everything needs to be programmed work automatically. It enables IT to be kept more flexible, fast, secure and stable.
- Infrastructure –
Infrastructure in Automation approach allows 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 –
Installation in Automation approach allows the configuration of operating systems and the installation of applications to be automated.
- Monitoring –
Monitoring in Automation approach allows automatic monitoring (provides technical assistance like identifying and correcting errors etc) and data collection process.
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- Software Engineering | Role and Responsibilities of a software Project Manager
- Software Engineering | Seven Principles of software testing
- Software Engineering | Agile Software Development
- Software Engineering | Software Maintenance
- Software Engineering | Jelinski Moranda software reliability model
- Software Engineering | Schick-Wolverton software reliability model
- Software Engineering | Introduction to Software Engineering
- Software Engineering | Software Business and Development
- Software Engineering | Characteristics of good Software
- Software Engineering | Identifying Software Development Metrics
- Software Engineering | Changing Nature of Software
- Software Engineering | Software Characteristics
- Software Engineering | Software Crisis
- Software Engineering | Software Quality Assurance
- Software Engineering | Software Quality Assurance (SQA) Set 2
- Software Engineering | Software Process Framework
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