creating an agile data environment for apps in the cloud

© 2014 ScaleArc. All Rights Reserved. 1

Creating an Agile Data Environment for Apps in the Cloud

Summer 2014


Agenda

• ScaleArc overview• How ScaleArc enables the cloud• How ScaleArc works

− Live product demo

• Reference architectures for the cloud• Discussion – opportunities to collaborate


ScaleArc Overview


ScaleArc at a Glance

• Strong backing by top-tier partners

• Third generation of software platform

• Three broad patents granted – four more in process

• For on-prem or cloud – strong partnerships with cloud providers

4

“Top 10 Hot Big Data Startups”

by CIO.com


Apps are Hamstrung by Today’s Database Structure

• 1:1 tie between app and database• Database = common source of outage

− Planned (maintenance) and unplanned

• Failover causes app errors• Scaling is challenging and costly


ScaleArc – Enabling An Agile Data Tier, w/ Zero Downtime

• Database traffic management software− Inserts between apps and databases− Provides an abstraction layer

• Deploys transparently, in minutes• Fastest, most cost-effective path to

higher availability and scale

• Supports full range of SQL offerings


Customers Benefitting from Zero Downtime for Apps


How ScaleArc Enables The Cloud


Top Use Cases and Projects for Enterprise Customers

CloudMigration

Data Center Modernization

SQL Server 2012/2014 Upgrades

Zero Downtime

Maintenance

Auto Failover In or Across Data Centers

Continuous App Availability

Customer choose ScaleArc for:

As part of projects for:

All enabled without any changes to the app or database

Add Capacity with No

Downtime


Challenges in Cloud Deployments

• Smaller instance sizes• Inability to architect failover mechanisms

− No support for DNS or IP migration

• Lack of geo control• Slow performance across WAN boundaries


Key Value Props for ScaleArc in the Cloud

• Enables simple application migration− Move enterprise workloads to the cloud with no app changes− Aggregate smaller cloud database instances to behave like one large server

• Provides high-availability solutions with auto failover− Within one locale or across regions/availability zones

• Delivers high-performance – for cloud and hybrid deployments− No performance compromise for apps in the cloud− Supports app in the cloud, database on prem

• Solves future scaling issues− Scale up and scale out without any app modifications


We are Targeting the Same Work Loads

• eCommerce & SaaS

• Financial services

• Healthcare

• content/media

• Corporate and/ or media-rich sites

• Dynamic OLTP workloads

• CRM / ERP

• Email / SharePoint

Image of cloud

provider’s offering


Top Use Cases – Business Perspective (Sales Rep)

#1 – Help me use what I am paying for • Use both primary and failover database servers (database load balancing)

#2 – Stop my app from locking up during database failover• Leverage auto failover without having to reboot app servers

#3 – Help me scale out• Simply add another database server to the pool to get more capacity

#4 – Speed up my slow database• Split read vs. write queries and cache various reads


Top Three Use Cases – Technical Perspective (SE)

#1 – Continuous application availability• Customers have implemented failover, but it leaves the app in shambles –

ScaleArc enables the app to survive a database failover

#2 – Visibility• ScaleArc exposes the query request/response relationship between the

application and the database, especially critical for cloud deployments

#3 – Performance• ScaleArc’s connection multiplexing, connection management,

authentication offload, caching, and seamless failover speed throughput

14


How ScaleArc Works


Primary

ScaleArc in Action

SecondarySecondary


Read/Write Split

Primary

Secondary Secondary


Automatic Failover that Maintains Application Uptime

Primary

SecondarySecondary

1 ScaleArc performs read/write split

2 Upon database failure, ScaleArc queues queries

3 ScaleArc directs queries to new write server

4 Apps see delay but not errors

5 Applies to zero-downtime patching

Primary


10:00:02

10:00:02 10:00:02

10:00:04

10:00:04 10:00:04

10:00:06

10:00:06 10:00:04

Replication-Aware Load Balancing

Primary

Secondary Secondary


Query Response Caching

Primary

Secondary Secondary


ScaleArc Also Improves Availability for Single Servers

Database offload capabilities• Connection management

− Multiplexing and other features smooth input to server to improve efficiency

• Caching− NoSQL cache accelerates

response time for related app and offloads database to better serve non-cached content

Sysbench Response Time

Faster through ScaleArc than directly to database


Live Product Demo


Customer Case Studies


Full Cloud Deployment: App and Database in Cloud

App Tier

Challenges• Smaller database instances

ScaleArc Solution• Deploy ScaleArc in the cloud in < 30 min• Improve performance

• Local serving of reads with response-time aware load balancing • Caching for fast throughput

• Provide visibility into SQL transactions for additional troubleshooting

…


Cloud Deployment: Cross-Region Failover

App Tier

Challenges• Enable failover despite lack of DNS/IP migration• App hanging from long timeout

ScaleArc Solution• Enable active/active deployment

• With auto failover to secondary in either location• Queue “in flight” queries during failover to reduce app errors

…App Tier

…

Replication


Hybrid Deployments: App in Cloud, Data on Prem

App Tier

Challenge• WAN latency slows app performance

ScaleArc Solution• Deploy ScaleArc in the cloud in < 30 min• Improve performance

• Local serving of reads with response-time aware load balancing • Caching for fast throughput

• Provide visibility into SQL transactions for additional troubleshooting

In cloud

On prem

…


Thank You

creating an agile data environment for apps in the cloud

Documents

cloud providers4

app servers

app errorsscaling

cloudsupports app

app modifications

sql server cloud migration

cross data center

todays database structure1