Frequently Used Terms in Data Centers

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Frequently Used Terms in Data Centers
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Table of Contents

• Data Center
• 3D NAND
• Application Layer
• Application-specific Policies
• Automation
• Cluster
• Containers
• Control Plane
• DRaaS

• Data Layer
• Data Plane
• Distributed System
• Docker
• Hybrid Cloud
• Hyperconverged, Hyperscale
• Kubernetes
• Microservices

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Data Center

• A data center refers to a facility (a building, a
  group of buildings or a dedicated space within a
  building) which is used by a company to house its
  critical applications and data. It houses
  computer systems along with its associated
  components that have to do with storage systems
  and telecommunications.
• A data center has a network of storage and
  computing resources which make it possible to
  deliver shared applications and data. Its main
  components are servers, storage systems, routers,
  switches, firewalls and application-delivery
  controllers. The main types of data centers are
  Enterprise Data Centers, Managed Services Data
  Centers, Colocation Data Centers and Cloud Data
  Centers.
• This PPT aims to provide information about some
  of the various terms that are used frequently in
  the context of data centers.

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3D NAND

• 3D NAND refers to a next-generation, non-volatile
  memory that has gained prevalence among
  enterprises. Its popularity stems from the fact
  that it is capable of packing more bits into the
  same space as the older NAND technology and is
  more efficient.

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Application Layer

• An application layer is that layer in an OSI
  (Open Systems Interconnection) stack which is the
  closest to an end user with regard to the
  conceptual model, characterizing a computing
  systems communication functions. This
  application layer enables an end user to have
  full access to multiple shared network services
  to ensure an efficient flow of data. It is
  extremely important in virtualized and
  containerized environments.

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Application-specific Policies

• In the context of infrastructure, such as
  servers, storage, networks, and security in a
  data center, application-specific policies are
  the policies that are meant for individual
  applications as well as for the retrieval of data
  in a container, cloud, bare metal, or virtual
  machine environment. Such a policy enables a
  multi-tenant environment, wherein every
  application has its own SLAs (Service-level
  Agreements) and unique infrastructure.

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Automation

• Automation, which is a key concept in cloud
  computing, entails providing resources on demand
  and eliminates the need for manual intervention
  of anyone. It is usually combined with
  orchestration to enable a service to support and
  be integrated with the various IT tools to gain
  enhanced operational control.
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Cluster

• A cluster is a networked collection that consists
  of server computers and other resources which
  work as a single system. Often it has elements of
  parallel processing. There are many clusters that
  are distributed systems.

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Containers

• A container refers to a softwares standard unit
  for packaging code and enables the packaging and
  abstraction of an application for the purpose of
  simplifying deployment among different platforms.
  This enables an application to run reliably as
  well as swiftly from one computing environment to
  another. It provides a portable method for an
  applications packaging, which aids in isolating
  it from the OS (Operating System) and the
  physical infrastructure. A container does not
  include a full operating system. Rather it shares
  the operating system of a host. It might refer to
  data storages granular unit.

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Control Plane

• The control plane forms a network which is meant
  to control the forwarding of data packets. The
  process involved in creating a routing table is
  included in the control plane. Packets that are
  specific to a control plane are destined to or
  are originated by a router. Its functions have to
  do with system configuration, exchange of routing
  table information and management. In the context
  of software-defined infrastructure, control plane
  refers to APIs (Application Programming
  Interface) programmable set which regulate the
  configuration, management and monitoring of
  server, storage and security infrastructure.

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DRaaS

• DRaaS refers to Disaster Recovery as a Service.
  It involves the replication as well as hosting of
  virtual or physical infrastructure which is
  ensured by a dedicated provider. It is a type of
  cloud computing that is meant to protect data as
  well as applications from any untoward incidence.

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Data Layer

• In the context of a data center, a data layer
  refers to a data structure which holds the data
  that requires processing and which needs to be
  passed to other linked applications.

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Data Plane

• Data Plane is that layer in a network which has
  the necessary infrastructure to forward network
  traffic. It is often known as the User Plane,
  Forwarding Plane, Bearer Plane or Carrier Plane.
  The functionality of Data Plane is provided by
  firmware in switches or by other network devices
  in traditional networks. In the networks that are
  defined by software the Data Plane functionality
  is delivered through software-based network
  elements. Data Plane refers to the infrastructure
  which stores, transmits, protects and manages all
  the applications data.

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Distributed System

• A distributed system refers to a cluster of
  autonomous computers that are networked together
  for creating a unified system. In it, activities
  are coordinated and resources are shared by
  networked computers to support a common workload.
  Such a system maximizes scalability and
  performance, enables resource availability and
  ensures fault tolerance.

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Docker

• A docker is an open-source project that is meant
  to automate applications deployment within
  software containers. This open platform is used
  for developing, running and shipping
  applications. It aids in separating applications
  from the infrastructure for the swiftest delivery
  of software. It reduces significantly the delay
  between coding and running the written code in
  production.

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Hybrid Cloud

• A hybrid cloud is a cloud solution which combines
  the resources of a private cloud with that of one
  or multiple public cloud services. This is done
  through proprietary software. Applications as
  well as data are exchanged in it, which creates a
  single set of services or infrastructure.

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Hyperconverged, Hyperscale

• Hyperconverged- It refers to an architecture that
  combines software-defined storage with
  software-defined compute on a commodity server.
• Hyperscale- It is an architecture wherein
  software-defined storage and software-defined
  compute scale independently of one another. It is
  designed to attain horizontal scalability and
  enhances performance, enables fault tolerance and
  delivers high availability. It usually relies on
  scalable server architectures along with virtual
  networking.

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Kubernetes

• A Kubernete refers to a platform for container
  orchestration that is open source. It automates
  various manual processes which are involved in
  managing, deploying and scaling applications that
  are containerized. Kubernetes specify a set of
  building blocks that enable collectively the
  mechanisms which are involved in deploying,
  maintaining as well as scaling applications.

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Microservices

• Microservices are also referred to as the
  microservice architecture. In this type of an
  architectural style, an application is structured
  in the form of a collection of services which can
  be organized around the capabilities of ones
  business, deployed independently and maintained
  and tested easily. Microservices enable the
  delivery of complex and large applications
  reliably, rapidly and swiftly.

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