Self Driving Storage

© 2019 PURE STORAGE INC.1
PURE STORAGE/STORAGE ONE/ARROW
ROADSHOW 2019

Self Driving Storage and
application integration

1. BUILT FOR NVME &
NVME-OF
2. DISRUPTIVELY SIMPLE 3. MOST-EFFICIENT
ARCHITECTURE
4. PROVEN 99.9999%
AVAILABILITY
5. AI-DRIVEN MANAGEMENT &
PREDICTIVE SUPPORT
6. APPLICATION
SUPPORT
7. SELF-PROTECTING
STORAGE
8. OPEN FULL STACK 9. EVERGREEN 10. INDUSTRY RECOGNITION
WHY FLASHARRAY//X?

4. PROVEN 99.9999%
AVAILABILITY

ASSURE
Purity for FlashArray delivers 99.9999% proven
availability, inclusive of maintenance, failures,
and generational upgrades.
NON-DISRUPTIVE EVERYTHING WORKLOAD CONSISTENCYDATA THAT’S ALWAYS PROTECTED
Active/Active
High Availability
Mirrored
NV-RAM
Hot-Swappable
Components
Stateless Controller
Architecture
Concurrent dual-drive failure protection, and
re-builds around failures automatically within
minutes.
Consistent latency delivered and performance
variability treated as failure, with parity used to
work around potential bottlenecks.
Checksums and dedicated parity to detect
and heal around bit error issues.
RAID-HA
✓
✓
✓
Always-On QoS
No knobs, and
nothing to configure:
protects against
noisy neighbors.
QoS Limits
Performance
consumption limits to
ensure a consistent
experience for tenants.
WORKLOAD
3
WORKLOAD
1
PERFORMANCEMAX
WORKLOAD
2
5
ms
<1
ms
<1
ms
PERFORMANCEMAX
TENANT
TENANT
TENANT
TENANT

SELF-PROTECTINGSTORAGE

SIMPLE, LIMITLESS SNAPS
INSTANTLY SNAPSHOT ANY VOLUME
• Zero reservations or planning required
• Zero performance overhead
• Flexible consistency groups
SNAPSHOTS ARE JUST NEW
VOLUMES, WITH FULL
CAPABILITIES
• Mount, read, write, snapshot again, etc.
• Zero dependencies on one another
• All have full performance
=
ALWAYS FULL YET SPACE
SAVING
• Zero data duplication
• Always thin, deduped, compressed
RECOVER ANYTHING TO
ANYWHERE
• Instantly roll forward or backward
• Recovery ANY volume from ANY snapshot
…
1000s
FlashArray Volumes
100% Metadata

RAPID RECOVERY ON-PREM
RETENTION & RECOVERY
IN PUBLIC CLOUD
RAPID RECOVERY
PORTABLE SNAPSHOTS
(INCREMENTAL, COMPRESSED,
SELF-DESCRIBING)
EC2
RECOVER BACK
ON-PREM
CLOUD DATA MANAGEMENT
PROTECTION POLICIES
SNAPSHOT CATALOG
PROTECTION REPORTING
Simple, built-in local and cloud protection
Rapid local recovery at the speed of flash
Replace tape with highly-durable cloud protection
Recover to the cloud* for DR, migration, and more
✓
✓
✓
✓
CloudSnap™ FOR AWS
S3 IA*
PORTABLE
SNAPSHOTS
*
Purity
NOTE: Not all capabilities GA. CloudSnap recover into Cloud Block Store and archive into S3 Infrequent Access planned for 2019.

PURE1 SNAPSHOT CATALOGGLOBAL VIEW OF SNAPSHOTS IN FLASHARRAY, NFS, AND AWS S3

ACTIVECLUSTER
CLOUD MEDIATOR
COMPUTE COMPUTE
Multi-Site Active / Active
Zero RPO, Zero RTO
ACTIVE ACTIVE

DATA CENTER METRO
GLOBALLIVE MIGRATION
RACK HA
STRETCHED CLUSTER
W/ TRANSPARENT FAILOVER
ACTIVE-ACTIVE
ASYNCHRONOUS
REPLICATION
THREE DATACENTERS
1
2
3
4
RACK1 RACK2 UP TO 11ms Round Trip
ANYWHERE
CLOUD MEDIATOR
ACTIVECLUSTER

ACTIVECLUSTER
Active / Passive Active / Active
Complex Minutes to Setup
Pure1 Cloud Mediator
Rigid Topology Multiple Use Cases:
Datacenter, Metro, and 3DC
$100,000s Extra $0 (Included)

OPENFULL-STACK
AUTOMATION

TITLE

VMware SDDC
VALIDATED
DESIGN
VMware vSphere
Pure
Web Client
vRealize
Automation
Pure
Plugins
vRealize
Orchestrator
Pure
Workflows
SRM
Pure
Plugin
vRealize
Operations
Pure
Plugin
Log
Insight
Pure
Plugin
VVols
Snap Replicate QoS Migrate
VASA Provider
VMWARE SDDC OPEN AUTOMATION OPENSHIFT PaaS
PRE-BUILT OPEN FULL-STACK
AUTOMATION TOOLKITS
A FULLY-
AUTOMATED
VMWARE
CLOUD
PURE STORAGE
CONTAINER-BASED PaaS
REFERENCE ARCHITECTURE
AUTOMATE AND ORCHESTRATE
…ON EVERY CLOUD PLATFORM
++
+

Full range of integrations
HYBRID
VAAI
VVOLs / VASA / SPBM
vCENTER PLUGIN
vREALIZE AUTOMATION XaaS
INTEGRATION
vREALIZE ORCHESTRATOR
PLUGIN & WORKFLOWS
vROPS MANAGEMENT PACK
LOG INSIGHT CONTENT PACK
SRM STORAGE REPLICATION
ADAPTOR
VMSC ACTIVECLUSTER CERT.
PRIVATE CLOUD VVD
SCVMM
ODX
AZURE EXPRESSROUTE
AZURE CLOUD
SMI-S
POWERSHELL TOOLKIT
VSS
PROVIDER/REQUESTOR
SCOM MANAGEMENT PACK
DOCKER PLUGIN
KUBERNETES PLUGIN
OPENSHIFT RA
MESOSPHERE DVDCLI
DOCKER SWARM
OPENCONNECT FOR AWS
OPENCONNECT FOR MS
AZURE
CLOUDSNAP
CONTAINERS
FULL IN-TREE CINDER
DRIVER
FUEL PLUGIN
PYTHON SDK LIBRARY
OPENSTACK FOUNDATION
CORPORATE SPONSOR
CORE CINDER TEAM
MEMBER

VMWARE
INTEGRATIONS
BUILT ON A SOLID FOUNDATION

BEST PRACTICES ARE BUGS
We work to remove best practices—not create them
ESXi offers default multipathing
configuration for Pure Storage
FlashArrays
Properly configured and tuned
Round Robin by default!
No plugins or modules to install, no
configuration changes required!
Simple on the FlashArray.
Simple with VMware.

VAAI: ALLOW FLASHARRAYS TO DO THE
WORK
Block Zero—accelerate virtual disk
initialization
Full Copy—offload virtual machine
copying/deployment
Space Reclamation—ensure capacity is
efficiently used
Hardware Assisted Locking—enable large
capacity datastores with enhanced scale of
simultaneous operations
Larger datastores
More VMs
Faster operations
Increased efficiency

VSPHERE HTML-5 CLIENT PLUGIN
• HTML-5 support for vSphere
• Datastore provisioning
• Snapshot management
• Environment configuration

VIRTUAL VOLUMES: VAAI ON STEROIDS
To solve this problem VMware
introduced Virtual Volumes (VVols)
• Virtual Disk granularity on array
• Use array-based technology on a
virtual disk basis
• Automatic volume creation and
configuration
• Storage Policy Based Management
MANY VMs, MANY SLAs
VM VM VM VM
DATA SERVICES DATA SERVICES DATA SERVICES

Virtual Volumes make VMs 1st Class Citizens
on the array
Arrays were originally built with physical
servers in mind:
• Volume = dataset
• Set of volumes = application
Array features are configurable on a volume
level
VMFS prevents granular restores, feature
configuration, etc. etc.
VVols allows you to take full advantage of the
investment that is your array
USE THE ARRAY AS IT WAS MEANT TO BE USED
APPLICATIONS ARE KEY
Manage Applications! Not datastores

POLICY-DRIVEN STORAGE
• Create storage-aware policies
• Assign/re-assign configurations
• Check compliance

REPORTING/ANALYSIS
Once completed, the Virtual Volumes will be created automatically and configured.
See individual
disks metrics
See entire VM’s
metrics

VIRTUAL MACHINE RESTORE
When a VM is deleted or a
virtual disk? How do you
recover?
Recovery includes loss of
RTO and RPO
With VVols a VM or virtual
disk deletion goes into the
recycling bin on the
FlashArray
• 24 hours to recover
• RPO 0/RTO can be
seconds

MORE INFO!
Blog: codyhosterman.com
VMware integration, best practices,
automation etc.
@codyhosterman
https://github.com/codyhosterman/
http://www.youtube.com/c/CodyHosterman

Snap & CloudSnap
SNAP
Lokalny
1
ACTIVECLUSTER
METRO
SNAP
Na FLASHARRAY2
SNAP
Na FLASHBLADE3
SNAP
na NFS4
CLOUDSNAP
Na AWS5
DELTASNAP
OPEN API6
= PORTABLE SNAPSHOT
S3
EBS EC2
+
Glacier
Data Mobility

© 2018 PURE STORAGE INC. PURE PROPRIETARY28
PURE SERVICE ORCHESTRATOR
CONTAINER STORAGE AS-A-SERVICE

29 © 2018 PURE STORAGE INC. PURE PROPRIETARY
WHY ARE CONTAINERS IMPORTANT?
DECOUPLE
APPLICATION RUNTIME
FROM INFRASTRUCTURE
RUN
INSTANTLY
KEY BUILDING BLOCK
FOR MICROSERVICES
e
VM CONTAINER
BOOT UP
TIME
MINUTE
S
Your
Cloud
Publi
c
Cloud
Bare
Metal
VM
CONTAINERS
CONTAINERIZED APPS
CLOUD INDEPENDENCE FOR
RUNTIME ENVIRONMENT
✓ EMPOWER DEVELOPERS WITH
CONTAINERIZED CI/CD PIPELINES
✓ MODERNIZE EXISTING APPS
AND BUILD NEW MODERN APPS
✓

30 © 2018 PURE STORAGE INC. PURE PROPRIETARY
VMs vs Containers
VM Containers
*Credit to Mike Coleman – Docker

CHALLENGES FOR PERSISTENT CONTAINER ADOPTION
Traditional storage provisioning
is slow negates container
deployment speeds
Containerized environments
scale fast, demanding multi-
array provisioning
LACK OF SIMPLIFIED
AUTOMATED PROVISIONING
CONTAINERS DEMAND
SCALING ACCROSS ARRAYS

CONTAINER PLUG-INS
Docker Volume Plug-In
Flex Driver &
Plugins
VOLUME PLUG-IN ORCHESTRATION PLUG-INS
2017 solution

CONTAINERIZED APPICATIONS
WANT TO CONSUME STORAGE
AS A SERVICE
SIMPLE ELASTIC RELIABLE SHAREDAUTOMATED

INTRODUCING
Flex Driver
& PluginsDocker Volume Plug-In
SERVICE
ORCHESTRATOR
SMART
PROVISIONING
ELASTIC
SCALING
TRANSPARENT
RECOVERY
• ON-DEMAND
• POLICY-BASED
• MULTI-ARRAY
• FILE & BLOCK
• SELF-HEALING

SMART PROVISIONING
ServerServerServer Server Server Server
3a
Checks for any
policy tags set
by the customer
3b
Checks for
block/file
3c
Checks Array factors
• Performance load
• Capacity utilization
• Health
3d
Provisions storage
from best-suited
system
1 Application issues persistent volume claim for container
2 Kubernetes makes storage call for Pure Service Orchestrator

Controller
Compute B
Compute A
FlashArray A FlashArray B
FlashBlade Z

Controller
FlashBlade Z
Pure
Provisioner

Controller
FlashBlade Z
Pure
Provisioner
REST
API

FlashBlade Z
Pure Provisioner
Controller
Kubernetes Controller
FlashArray A FlashArray B FlashBlade Z
REST
API
Fleet Provisioner
Pure Service Orchestrator

FlashBlade Z
Pure Provisioner
Controller
REST
API
Fleet Provisioner
PV Create
Request

FlashBlade Z
Pure Provisioner
Controller
REST
API
Fleet Provisioner
PV Create
Request
Translation to
Provisioner API

FlashBlade Z
Pure Provisioner
Controller
REST
API
Fleet Provisioner
PV Create
Request
Translation to
Provisioner API
Gather metrics,
weigh, filter, select

FlashBlade Z
Pure Provisioner
Controller
REST
API
Fleet Provisioner
Weight based on current
● Performance
● Capacity
● Health
Filter based on label selectors
● User Defined (optional)
● Auto-provisioned by Array
● Discovered from environment
PV Create
Request
Gather metrics,
Translation to
Provisioner API

FlashBlade Z
Pure Provisioner
Controller
Fleet Provisioner
PV Create
Request
Gather metrics,
Provision Pure
Volume
Translation to
Provisioner API

AI-DRIVENMANAGEMENT
ANDPREDICTIVESUPPORT

GLOBAL SENSOR
NETWORK
REAL-TIME
SCANNING
DATA LAKE AI ENGINE
>14,000
CLOUD-CONNECTED
ARRAYS
>TRILLION
DATAPOINTS / DAY
>11 PB
TELEMETRY DATA

WORKLOAD SIMULATION
INDUSTRY-FIRST AI-DRIVEN WORKLOAD PREDICTIONS
• REDUCE RISK AND OPTIMIZE WORKLOAD
DEPLOYMENT
• PREDICT IMPACT TO LOAD AND CAPACITY
FROM WORKLOAD CHANGES
• SIMULATE VOLUME OPERATIONS - SCALE,
DELETE, MIGRATE, OR CLONE
HOW CAN I OPTIMIZE
RESOURCE UTILIZATION?

GLOBAL DASHBOARD
KEY FLEET MANAGEMENT METRICS IN ONE VIEW

• QUICKLY IDENTIFY TOP VMS WITH
LATENCY ISSUES
• FIND THE PROBLEMATIC VM QUICKLY
CORRELATED WITH A VOLUME
• GET COMPLETE VISIBILITY OF LATENCY,
BANDWIDTH, AND IOPS
VM ANALYTICS
FULL STACK PERFORMANCE METRICS

PREDICTIVE & PROACTIVE SUPPORT
WE’LL SOLVE ISSUES BEFORE THEY IMPACT YOU
FINGERPRINT
EACH KNOWN ISSUE
(NOW 100s)
SEARCH EACH ARRAY
IN REAL-TIME FOR ISSUES
MATCH!
YOU ARE
NOTIFIED
SUPPORT NOTIFIED,
TICKET OPENED
> >
!

VM ANALYTICS
META WORKLOAD
SIMULATION
PERFORMANCE
ANALYTICSGLOBAL
DASHBOARD
ACTIVECLUSTER
MONITORING PREDICTIVE
SUPPORT
MOBILE
DASHBOARD
SUPPORT CASES
SNAPSHOT
CATALOG
FULL STACK
ANALYTICS
AI-DRIVEN
MANAGEMEN
T
PREDICTIV
E SUPPORT EXPANDED
ARRAY VIEW
APIs
>_ REST

Self Driving Storage

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