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Traditional v/s CONVRGD

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(1)

Data protection software applications

Traditional Virtualization

Stack Converged Virtualization

Infrastructure with HCE/HSE

PDU Backup Servers + Virtualization Storage Switch

HA shared storage

SSD / Flash Array Backup dedupe Networking Storage Caching

VM Centric Storage

Computing Networking

Backup & Replication One Click Provisioning Ultra Reliability

Hypervisor Agnostic Single Pane of Glass Monitoring and Alerting High Performance

Hyper-Converged

Hyper Converged

www.convrgd.com

Traditional v/s CONVRGD

(2)

Our Public Cloud Today

• From 11 datacenters worldwide

 India, USA, Canada, UK and Belgium

• Nearly 110,000 virtual machines across 8,000+

customers

 Approximately 60,000 CPU cores, ~1,400 servers

 Close to 730TB of memory

• ~400PB of fast, reliable and backed up storage

 Growing at 3PB per month

 Nearly 2.2 billion IOPS of consistent performance

• 99.995% uptime guarantee

• 99.99999999% data durability guarantee

(3)

Goals we had to hit

• Cost Goals to customer

• Rs. 1,000 p.m. for a server with 2 vCPUs + 4GB RAM

 Including failover/HA, clustering, live migration

 99.995% uptime

• Rs. 3 per GB per month for “unbreakable storage”

 7,500 IOPS per TB

 Clustered, continuously backed up

 99.99999999% durability

• Complete provisioning automation – allow customer to create a VM in less than 90 seconds (start to finish)

• 30 day planning cycles

• Tolerate failures, automate management

(4)

Technology Enablers

• More cores on the CPU

 2008 – 8 to 16 cores

 2013 – 32 to 64 cores

• More cores meant more VM density and moving functions done via ASICs (e.g. storage controllers) into software executed by the CPU

• Flash costs - $10 per GB to $1.5 per GB

 100x-200x faster than disks

• Low cost 10GbE copper networking

 Inter server bandwidth is a non-issue

 No need for expensive SAN switches

(5)

How did we hit the cost

goals

• Built our own technology

 Aggressively used open sourced

 Contributed all our IP to the open source community, except for operational control systems

• 80% of the cost is storage and poor CPU utilization due to I/O waits

• Storage – built our own storage technology

 Using existing approaches would have cost us 10x more

 Merged primary and backup storage

 Eliminated storage switching

• Massive VM density per server – 60 to 80 server class VMs – use deduped/compressed tier 1 flash to drive

massive I/O speeds (100,000 IOPS per physical server)

(6)

Data protection software applications

Traditional Virtualization

Stack Converged Virtualization

Infrastructure with HCE/HSE

PDU Backup Servers + Virtualization Storage Switch

HA shared storage

SSD / Flash Array Backup dedupe Networking Storage Caching

VM Centric Storage

Computing Networking

Backup & Replication One Click Provisioning Ultra Reliability

Hypervisor Agnostic Single Pane of Glass Monitoring and Alerting High Performance

Hyper-Converged

Hyper Converged

www.convrgd.com

Traditional v/s CONVRGD

(7)

Each system node running storage router, Forming unified

name space and storage pool Leveraging local flash | VM

Failovers

www.convrgd.com

Hyperconvergence

(8)

Single Pane of Glass

Single pane of glass to manage VMs, compute, storage and networking

(9)

Storage Technology

• Software driven storage controller on each server

 Clustered together for reliability

 Enables a scale out design

 Massive performance

• Speed and Density – server attached flash

 91% of the I/O is flash – 100,000 IOPS per server

 Dedup/Compression increases flash capacity by 3x

• Erasure Coded multi-node disk storage

 1,000x more reliable than RAID5 + 3-way replication

 Only requires 1.8x space compared almost 3.6x

 Add storage as needed

(10)

VM

……..

Hard Drives

KVM hypervisor SSD SSD SSD CONVRGD Storage Router

VM VM VM VM VM VM

Storage Backend

www.convrgd.com

Inside a server

(11)

Network Backbone Scale OutStorage RouterSSDSSD SSD Storage

Backend

Storage Router

SSD

SSD SSD

Storage Backend

Storage Router

SSD

SSD SSD

Storage Backend

Storage Router

SSD

SSD SSD

Storage Backend

Unified Storage Pool Unified Namespace

www.convrgd.com

(12)

Network Backbone

Object Storage

Scale Out

Compute LayerStorage Layer

Storage Backend

Unified Storage Pool Unified Namespace

www.convrgd.com Object Storage

Storage Backend

Object Storage

Storage Backend

Hyperscale – Launched in 2015

(13)

Benefits of clouds

• IT infrastructure available like electricity

 90 seconds to provision a server v/s 90 days

 2 days to expand storage v/s 2 quarters

• OS, database, application platform freedom

 Provision VMs with the appropriate technology stack for the application, no platform lock-in

• Our estimate is that 70% of cloud based

applications use FOSS platforms (LAMP, Ruby, Node.js, MongoDB)

• Return to custom software

 Software represents a business process that is a source of competitive advantage

 Accelerates development to deployment cycles - Devops

(14)

Our work with Cisco

• On-Premise Amazon Web Services like cloud

• Cisco UCS hardware, Convergd SDS and cloud technology

• Single Appliance – <Rs. 10 lacs for a full cloud in a box

• Hyperconverged Cluster - <Rs. 25 lacs for a full cluster

• On-premise pay as you go cloud

 Rs. 1,000 for a 2 vCPU + 4GB RAM virtual machine

 Rs. 2 per GB per month for clustered, backed up storage at a speed of 7,500 IOPS per TB

• Cisco certified hosted private cloud out of Tier 4 datacenter in Mumbai

(15)

Cloud at IIT Bombay

• First clustered cloud deployed by us at IIT Bombay

• Runs IIT-BombayX which is a MooC created by IIT Bombay

• End to end open source – Convergd, OpenEdX, MySQL, MongoDB, RabbitMQ

• Built to scale to 10mn students

• 80% lower in cost than the lowest cost public cloud

• Deployed in September 2014, not a single instance of downtime

References

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