sa-4 david halford, forsythe solutions group€¦ · riverbed’s application performance platform...

This document and the material contained herein is confidential and proprietary and intended solely for the use and information of the client or customer to whom it is addressed. It should not be copied, disseminated, or used in any other manner without the prior written consent of Forsythe

A CRITICAL STEP TO RESILIENCY

David HalfordForsythe Solutions Group

IT Risk Management

Practice Manager, BC Solutions

Jeff LuboreRiverbed

Senior Director, Innovative Solutions

2© 2014 Riverbed Technology

Agenda

2

● Forsythe | Riverbed Introductions

● Operational Resiliency – A Balanced Approach

● Recommended Best Practices for Operational Resiliency & Disaster Avoidance

● Riverbed’s Application Performance Platform drives Operational Resiliency…

– with Visibility & Analytics for physical and virtual environments

– for Remote Locations

– for Data Center BC/COOP

● Key Takeaways and Q&A


Operational Resiliency vs. Disaster Recovery

Traditional BR/DR Model Operational Resiliency Model

Minimum acceptable level of performance Optimum level of performance

Invoke alternate procedures to recover & resume operations following significant disruptive event

Architecture and processes for continuous availability of business operations and ITenvironments

Interruption in the following for a large percentage of apps and business functions:- IT Service- Degraded IT capability- Operation/workflow- Limited customer service

A much larger percentage of IT servicesand business functions experience:- Continuous availability of IT Service- End-to-end process is business as usual

(appl. interdependencies, no workarounds)

- Full performance and capacity (IT & business functions) – No customer service impact


Operational Resiliency Balance

Production Business Continuity

Operational Resiliency

OPL (Optimal Performance Level) Optimal production performance capacity

APL (Acceptable Performance Level) Minimal acceptable level for business functions

Balanced approach focused on returning to Optimal Performance Level

StorageProduction, App,

Test, BU/R, Archive

ComputeProduction, App,

Test, HA, Virtualization

NetworkCore, Edge,

Wireless, Unified Communications

SecurityAV, IPS, IDS, DLP

ITSM/ITILCapacity Planning, Patching, Change

Control, Monitoring

StaffCapabilities,

Architects, Support, Operations

Performance(SLA, User Experience)

Growth(Organic, M&A)

Risk(Availability,

Threats)

IT DisasterRecovery (capability

& Requirements)

Governance &Program

Framework(Requirements)


Gap between data volume and budget

5

80% Of traffic moves to

WAN by 2014

2.5X Growth in business

network traffic by 2017

$80B Private WAN Services

spend

$40BBCDR Market Size

IT Spend

ITEnvironment

Top Initiatives

Data Center Consolidation

Server and Branch Consolidation

Tape Backup Elimination

50% Annual growth in data

3%Average IT budget growth

5


Operational Resiliency is impacted by Infrastructure left in remote locations

Forrester Consulting, October 2011 “Successfully Consolidating Branch-Office Infrastructure in the Face of More Users, Services, and Devices”

50%+outside

thedata center!

6


The problem- Islands of Infrastructure…

7

7

DATA CENTER

BRANCHBRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCHBRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

BRANCH

TABLET PHONE

TABLET

PHONE

PHONE

PHONE

PHONE

TABLET

LAPTOP

LAPTOP

TABLET

LAPTOP

LAPTOP

TABLET

PHONELAPTOP

LAPTOP

TABLETPHONE

PHONE

TABLET

LAPTOP

TABLET

LAPTOPLAPTOP

PHONE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

REMOTE

PRIVATE CLOUD

PUBLIC CLOUD


Visibility

Control

Application Performance

SLA

Cost

InfrastructureManagement

Compliance

Com

plexity

Which dramatically impacts Continuity of Operations…

8


We see Risk Mitigation as critical…

“Of the companies that experience a major data loss, 43 percent never reopen and 29 percent close within two years”Business Continuity Statistics: Where Myth Meets Fact http://Www.Continuitycentral.Com/Feature0660.html

“Similarly, 80 percent of companies without well-conceived data protection and recovery strategies go out of business within two years of a major disaster” Hidden Threats to Enterprise - http://www.usfst.com/article/Hidden-threats-to-enterprise-will-your-business-continuity-go-according-to-plan/

9


Riverbed Technology

10

24,000+Customers

• 97% of Fortune 100

• 95% of Forbes Global 100

• 86% of Forbes Global 500

$1BILLION

Revenue

Market Leader

* Performance Management

* WAN Optimization

* Branch Office Convergence

* DR/BC/COOP solutions

* vADC


Four critical performance technologies which improve Operational Resiliency

11

Accelerates applications over long distances. Creates Hybrid Networks

Accelerates data access/ transfers over long distances for Converged Branch

Makes infrastructure more scalable and reliable. Automates deployment

Monitor user experience and pro-actively resolve performance problems. Provides granular Visibility and Control

Performance Management


Riverbed Application Performance Platform

12

Riverbed® Application Performance Platform™

Primary Data Center

Steelhead

CascadeProfiler

AppInternals

AppResponse

UC Xpert

Granite Core

Stingray App Delivery

Whitewater

Mobile Workers

Branch Offices

Steelhead Mobile

Stingray Traffic Manager

Cloud Steelhead

Public CloudExternal Users

Steelhead

Skipware

Virtual Services Platform

BrowserMetrix

Secondary Data Center

Virtual Steelhead

Cascade Shark

Stingray Traffic Manager

WAN or Internet CustomIT Portal

13

We EnableLocation Independent Computing

Recommended Best Practices forOperational Resiliency & Disaster Avoidance

14


Best Practices

15

1. Baseline your environment

2. Converge Infrastructure whenever possible* Improve Security* Improve Visibility* Improve Control

3. Use Predictive Analytics* Model the impact of change

4. Automate performance management and optimizations policy* Agile infrastructure deployment* SLA Monitoring and Enforcement * Adjustments on demand

5. Use Behavioral Analytics to alert on Meaningful change* Treat Performance Management as a business discipline


Automate performance policy to eliminate human latency and error

Security teamprovisions appfirewall

Developer provisions VM from self-service portal

Network teamprovisions load balancer

Network teamprovisions L4-7 services

Day 1 Day 2 Day X Day X 30 days

Developer provisions VM, load balancer, security, and L4-7 services from self-service portal

5 mins

Day 1 Riverbed® Application Performance Platform™


Allowing the creation of Custom Portals

Data CenterBoston

Profiler

Stingray TM

WAN

San Francisco

Steelhead

Shark

Servers

Users

Key data spread across many sources

Pull together all sources

Build custom widgets

Drill-down as needed

Profiler

Shark-SF

Shark-Bos

Shark-DC

SH-SF

SH-Bos

SH-DC1

SH-DC2

Stingray TM

FW-DC

SLA-Bos

SLA-SF

Web-Srvrs

DB-Srvs

App-Srvs

Custom IT Portal


While deploying Software-Defined Performance Infrastructure with Agility

● Integrate with cloud orchestration software for one-click provisioning within SDDC

● Enable self-service portals for virtual data center deployment

● Support point-and-click configuration and monitoring within virtual data centers

Boston

WAN

San Francisco

Users

Stingray Services Controller With SteelScript Orchestration

Virtual Data Center

Stingray TM

Web Servers App ServersCloud SH

Virtual Data Center

Profiler Shark

Web ServersDB Servers

Stingray TM

Cloud SH

Visibility & Analyticsfor physical and virtual environments

19


Operational Resiliency requiresEnd-to-End Visibility

20

.NET Worker Process

IIS Native Pipeline

Servlet

Apache

TCP/IP Stack

Application Server

Web

Ap

p

Client Browser

WAN/Internet

LAN

Start

Request PayloadNetwork/Bandwidth/Latency

Platform Processing

Network/Bandwidth/Latency

Platform Processing

Platform Processing

Application Processing

Web Services, DB, Cache, Other Remote Calls

Network/Bandwidth/Latency

Response PayloadNetwork/Bandwidth/Latency

Application Processing

AppResponseCascade

AppInternals

AppInternals

Platform Processing

Platform Processing

Platform Processing

Application Processing Application Processing

AppResponseCascade

AppResponseCascade

TCP/IP Stack

Finish

Page Render Time AppInternals


Riverbed Performance Management forPre-Deployment Planning & Design

Discovery & Mapping

• Automatically discovers applications and infrastructure components

• Map application dependencies within intuitive graphical interface

• Multiple data sources including ‘agent-less’

Predictive Analysis

• Visualize transactional behavior and performance and easily share w/ app stakeholders

• Pre-certify apps to ensure they meet SLAs prior to deployment

• Quantify the effects of proposed changes to infrastructure or application optimization

Baseline Performance

• Measure performance for users of specific applications and alert against SLAs

• Break down application response time into contributing sources

• Analyze communications among servers within the data center and across the WAN

21


Riverbed Performance Management forDeployment of New Services & Operational Management

22

• Trace all transactions, all the time, across all tiers

• Big Data repository enables quick drill-down into specific transactions (server, line of code)

• High definition measurement of thousands of performance metrics

• Automatic baseline and correlation

ApplicationTransaction Tracing

& Component Monitoring

Monitor End User Experience

• Measure end-user experience for all users, all the time

• Breakdown EUE into actionable components of delay

• Application-specific transaction and response time analysis of Web applications, any TCP application, Citrix, VoIP and video, and SQL databases

ManageInfrastructure &

Network Performance

• Flow data provides cost-effective end-to-end visibility

• Packet data provides detailed visibility into application performance…when & where needed

• Unified data store combines both in single logical, de-duplicated record

• MIB & WMI info also available

APPLICATION PERFORMANCE = BUSINESS PERFORMANCE


Comprehensive Performance Monitoring enhances Operational Resiliency

23

WAN Delay231ms

LAN Delay10ms

Server Delay32sec

Page Time32.3sec

http://www.company.com/home.aspx

Net

wo

rk T

raff

icO

nly

Web TierDelay0.3sec

App TierDelay7.7sec

DB TierDelay24sec

End UserExperience

38.9secincluding 6.5sec

Page Render Time

http://www.company.com/home.aspx

Fu

ll A

PM

WANDelay231ms

LANDelay10ms

“It’s NOT the Network, it’s the Server!!”

Operational Resiliency forRemote Locations

24


Why Do Servers & Storage Remain?

• Want local performance

• Need to work when the WAN is down

• Write-intensive apps

• Custom apps• It’s political…

25


The Hidden Costs of Branch IT

Server/Storage Hardware & Software

Server/Storage Management

Backup Hardware & Software

Backup Media

Backup Admin & Management

User Experience & Productivity

26


Operational Resiliency for Remote Locations

27

• Granite Edge• Consolidates branch services onto a single

converged appliance

• Virtual Services Platform (VSP) hosts apps

• Built-in WAN-op accelerates data transfer

• BlockStream eliminates branch data

Storage

File Servers

Mail Servers

WebServers

TapeBackupGranite Core

WAN

VMware

DATA CENTER

BRANCH OFFICE

vSphere HostTape Backup

Granite Edge

Print ServerDNS / DHCP/ ADWindows Filer

• Granite Core• Projects storage out to the branch via

storage delivery controller

• Virtual or physical appliance

• BlockStream interfaces with SAN

• Centralized data eliminates branch backups


Path Selection and Failover for WAN resiliency

Internet SaaS

IaaS

1 Private Networks

Internet

MPLSBranch

Data Center

CloudInternet VPNs

Local Internet access

2

3

Smart application path decisions across private, public and Internet links improves operational resiliency while reducing cost

$$$$$$


Fast Disaster Recovery & Provisioning

29

Boot virtual servers over-the-WAN from data center storage in minutes

Reconnect and instantly recover in the event of disaster

Rapidly provision remote offices from data center LUNs

WAN

VMVM

VMVM

VM

WAN link latency: 100ms


Data Security enhances Operational Resiliency

30

BRANCH

DATA CENTER

Granite Core

Storage Array

Steelhead

AES-256

WANFC or iSCSI

Backup Server

Data Secure

• Cache can be encrypted• Data remains safe in data center• Cache can be cleared remotely


Zero Admin at the Branch

time

Branch Server

Up

Down

RTO (days)

Data LossData Loss

Near-instant recovery (RTO)

Near-zero data loss (RPO)

Data

Loss

Time to provision a new server RPO (1 day)

24hr 24hrBackups

Near-instant provisioning

Provision Protect Recover

Dramatically improve Branch Recovery

31


Remote site convergence advantages

CostCostEliminate branch hardware/software/backup

Better utilize data center investmentsNo local IT personnel

ManagementManagement

Manage with data center tools

Provision storage centrally

Backup / RecoveryBackup / Recovery

Backup in the data center

Improved RTOs and RPOS

ControlControl

Data stored and secured centrally

AES-256 branch encryption

32

Operational Resiliency starts with Data Center BC/COOP

33


Business continuity requires effective DR Data replication, data migration and business continuity

Meeting RPO/RTO?

Recurring WAN costs?

Data Center Consolidation?

Predictable WAN Performance?

Transitioning from tape back-up?

Replicating more data more often?

Data migration projects?

Delayed projects from costly upgrades?

34


WANLAN

Rapid data growth and data center consolidation increases pressure on WAN infrastructure.

Challenge #1: WAN Congestion

• More applications competing for the same WAN resources• Slow and unpredictable performance of business critical data transfers• Unmet Recovery Point and Time Objectives (RPO/RTO) places the business at risk

The impact

35


Data

WAN

DataData

• Byte-level finger printing of data sequences

• New bytes compressed & sent over the WAN

• Steelheads auto-discover each other in the network

SITE A

• 16-Byte references communicate megabytes of existing data

SITE B

Up to 99% reduction in WAN utilization• Unique sequences stored and indexed on disk drives (HDD or SSD)

Data Streamlining

36


Common Latency• North America• (40-80 ms RTT)• International• (100-200ms RTT)• Satellite• (300+ ms RTT)

Common Packet Loss• MPLS (0.1%)• Public Internet (1-

5%)

• Adding WAN Capacity with bandwidth does NOT guarantee higher throughput

• High latency and/or packet loss dramatically degrades throughput for business critical data transfers

The reality

The impact

0.00

10.00

20.00

30.00

40.00

50.00

60.00

10 100 1000

Throughput(Mbps)

Latency (ms RTT)

WAN ThroughputSingle TCP Flow Performancevs. Latency & Packet Loss

0.0% loss

0.1% loss

1.0% loss

5.0% loss

T = MSS / (RTT * sqrt(p))

Challenge #2: Low WAN Throughput

37


38

Riverbed-optimized TCP (MX-TCP)

Designed for high-speed transmission of business-critical appliacations.

Uses 100% of its allocated bandwidth with no slowdown due to packet loss.

Granular control: Enabled per QoS class

Standard / Unoptimized TCP

Designed for fair-sharing amongst user or applications.

Uses a “slow start” algorithm to detect maximum transmission speed.

Reduces speed by ½ when a packet loss event is detected.

Time

WA

N

Th

rou

gh

pu

t

Un-optimized TCPRiverbed Optimized TCP (MXTCP)

Packet LossEvents

Improved RPO

Transport Streamlining

WAN Capacity

38


Challenge #3: Visibility & Control

…

EmailData

HomeDirectoryData

ERP Data

TrainingVideos

packet packetpacket more packets

Without Steelhead WAN Optimization, IT professionals lose

the storage-granular visibility and control needed to track, tune and troubleshoot data replication processes across the WAN.

39


Storage Visibility & Control

EMC SRDF/A– RDF-granular optimization policies

– RDF-granular performance reports

– SRDF-enhanced plug-n-play network integration

NetApp SnapMirror– Volume-granular network QoS

– Volume-granular optimization policies

– Volume-granular performance reports

Email ERPRich

MediaHomeDirs …

Data & TransportStreamlining

Transport Streamlining

MediumPriority

HighPriority

Low Priority

1%

Volume

Exchange

DB-1

Home-1

Video-1

Reports Optimization

EmailData

HomeDirectoryData

ERP Data

TrainingVideos

40


Case Study: Citi

Background• Over 4,000 branch offices worldwide• NetApp SnapMiror for WAN based data

replication

Challenges• Backup tapes unreliable• New data protection mandate• Poor WAN performance impacting SLAs

Results• 99% data reduction on SnapMirror replication• Reduced backup window from 22.65 to 3.43

hours• Cost avoidance of costly WAN upgrade

“Riverbed was the only vendor who was even capable of

integrating their product into our complex environment.”

“We selected Riverbed based on their leading performance, high

security and very high responsiveness”

41


Riverbed forBusiness Continuity & Disaster Recovery

Challenge Solution Benefit

Too much data to protect.Fixed IT budgets

DataStreamlining

Up to 99%WAN bandwidth

reduction.

Insufficient WAN Throughput

TransportStreamlining

Up to 60x WANPerformance increase.

Hard to track, tune and troubleshoot DR

processes

StorageVisibility & Control

Predictable performance.Faster troubleshooting.

Better business planning.

42


Riverbed Solution in Review

43

Riverbed® Application Performance Platform™

44© 2014 Riverbed Technology 44

R I V E R B E D ’ S A P P L I C AT I O N P E R F O R M A N C E P L AT F O R M

…while improving business productivity andreducing cost.

Gives IT the freedom…

…To place apps, data, & infrastructure anywhere …

sa-4 david halford, forsythe solutions group€¦ · riverbed’s application performance platform...

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