Private Cloud Ravi Mula Research Associate Dept. of CS Outline - - PowerPoint PPT Presentation

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Private Cloud Ravi Mula Research Associate Dept. of CS Outline - - PowerPoint PPT Presentation

Mar 18, 2023 332 likes •727 views

Private Cloud Ravi Mula Research Associate Dept. of CS Outline 1. Cloud Classifications - PaaS, SaaS, IaaS, FaaS 2. Terminology 3. Traditional vs Hyper-converged Architectures 4. Nutanix a. Architecture b. Data Management &

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Private Cloud

Ravi Mula

Research Associate

  • Dept. of CS
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Outline

1. Cloud Classifications - PaaS, SaaS, IaaS, FaaS 2. Terminology 3. Traditional vs Hyper-converged Architectures 4. Nutanix

a. Architecture b. Data Management & Features

5. Demo

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Cloud Classifications

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Platform as a Service (PaaS)

  • Bitnami

○ PHP ○ Java ○ Python ○ Node ○ Ruby ○ WordPress, Drupal,...

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Software as a Service (SaaS)

  • YouTube
  • Gmail
  • Google Apps
  • GoToMeeting
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Infrastructure as a Service (IaaS)

  • Public Cloud

○ Amazon Web Services (AWS) ○ MS Azure

  • Private Cloud

○ VMWare ○ Nutanix

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Function as a Service (FaaS)

  • AWS Lambda
  • Google Cloud Functions
  • Azure Cloud Functions
  • Iron.io
  • IBM OpenWhisk (Has an open source version)
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Terminology

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Node

  • Contains Processors, Memory, HDD, SSD.
  • Runs a standard Hypervisor
  • Host - ESXi, Hyper-V.
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Block (Nutanix)

  • A rackable unit (2U)
  • Contains up to 4 Nodes
  • In some cases - each Node is a block
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Cluster

  • Set of Blocks that forms a Nutanix Distributed File System or Acropolis

Distributed File System

  • >= 3 Nodes
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Storage

  • Storage Pool

○ Group of physical storage devices (SSD or HDD) for the cluster ○ Spans across Multiple Nodes

  • Container

○ Logical Segment of a Storage Pool ○ Contains a group of VM’s or vDisks (files)

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Storage

vDisk

  • Provides required storage to VM’s
  • Subset of a Container

Data Store

  • Logical Container that contains files for VM operations
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Storage Hierarchy

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Traditional vs Hyper Converged

  • Compute Nodes
  • Storage Arrays
  • Network Switches
  • Node

○ Compute ○ Storage ■ HDD ■ SSD

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Nutanix

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Cluster Architecture

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Cluster Architecture (Contd..)

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Data Management & Features

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Replication

  • Multiple Copies of Data are Stored
  • Data Resiliency
  • Ensures Protection against Failures
  • RF2

○ 2 Copies ○ Can tolerate 1 Node Failure ○ 3 Nodes are needed

  • RF3

○ 3 Copies ○ Can tolerate failure up to 2 Nodes ○ 5 Nodes are needed

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MapReduce Tiering

The Nutanix cluster dynamically manages data based on how frequently it is accessed Frequently-accessed, or "hot" data is kept on SSD tier, while "cold" data is migrated to the HDD tier. Data that is accessed frequently is again moved back to the SSD tier. If a guest VM repeatedly accesses a block of data on a remote host, the local controller VM migrates that data to the SSD tier of the local host, reducing Network Latency

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Live Migration

Live Migration of VM’s across Node, whether initiated manually or automatically happens with ZERO downtime Scenarios when it can occur are

  • Load of Node on which VM is running is high and other are free
  • Node Failure
  • Initiated Manually
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High Availability

  • Reserves Half Resources
  • Each VM takes Double the resources allocated

○ Second VM starts immediately once the Primary one goes down

  • ZERO downtime
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Demo

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Thanks!!