1. © 2014 ScaleArc. All Rights Reserved. 1 © 2015 ScaleArc. All Rights Reserved. 1 ScaleArc Overview Simplifying migrations into Azure Winter 2015/2016

2. © 2014 ScaleArc. All Rights Reserved. 2 © 2015 ScaleArc. All Rights Reserved. 2 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 HA and DR are difficult to implement Scaling is challenging and costly Migrating enterprise workloads into Azure requires app changes and raises capacity concerns

3. © 2014 ScaleArc. All Rights Reserved. 3 © 2015 ScaleArc. All Rights Reserved. 3 ScaleArc – Enabling Zero Downtime and Easy Migration Database load balancing software −Inserts between apps and databases −Enables an Agile Data Tier – abstraction layer Deploys transparently, in minutes Fastest, most cost-effective path to higher availability, DR and scale Migrate to Azure without any app changes Provides new level of real-time visibility and analytics

4. © 2014 ScaleArc. All Rights Reserved. 4 © 2015 ScaleArc. All Rights Reserved. 4 Gain Value Faster with Modern SQL Reduce load, increase performance Queue spikes in traffic Real-time SQL analytics Query filtering App-transparent failover Zero downtime maintenance Replication-aware load balancing Query routing Multi-site active/active Geo-aware load balancing StandaloneClusteringReplication ScaleArc Value Multi-Site Replication

5. © 2014 ScaleArc. All Rights Reserved. 5 © 2015 ScaleArc. All Rights Reserved. 5 Automatic Failover that Maintains Application Uptime Primary Secondary 1 ScaleArc performs read/write split 2 Upon failure of primary, ScaleArc queues queries 3 After SQL Server promotes secondary, ScaleArc directs queries to new write server 4 Apps see delay but not errors Primary replication

6. © 2014 ScaleArc. All Rights Reserved. 6 © 2015 ScaleArc. All Rights Reserved. 6 Zero Downtime Maintenance with no App Interruption Primary Secondary 1 Mark a database to be taken offline 2 ScaleArc automatically reroutes queries away from offline server 3 Patch the server and bring it back online 4 ScaleArc automatically restores traffic to available server 5 Repeat on all servers – apps see no downtime Secondary replication

7. © 2014 ScaleArc. All Rights Reserved. 7 © 2015 ScaleArc. All Rights Reserved. 7 Case Study: Qualcomm (MySQL on prem) Challenges Transition organization’s Oracle-based infrastructure to MySQL to reduce costs Enable geographic redundancy and failover for a multi-country deployment Make the new MySQL environment “enterprise-class” to ensure availability and performance of patient-critical 2net application Ensure compliance with patients’ privacy requirements ScaleArc Solution Ensures zero downtime for 2net application using auto failover Increases performance of MySQL environment by scaling applications across cluster and caching most frequently used queries Ensures compliance with patient privacy requirements through SSL termination of MySQL data Enables instant troubleshooting and identification of bottlenecks impacting availability via real-time and historical analytics MySQL Multi-Master MySQL Multi-Master MySQL Multi-Master Technology

8. © 2014 ScaleArc. All Rights Reserved. 8 © 2015 ScaleArc. All Rights Reserved. 8 Case Study: Sazze (MySQL on prem) Challenges Scale for Black Friday and other sales peaks Ensure high availability Understand SQL usage Provide secure environment for SQL injection attack ScaleArc Solution Delivered 100% uptime, despite 10x to 18x traffic load Enabled 80% cache hit rate Provided Auto Failover for Galera cluster Created a firewall rule to block SQL injection attack Deployed in 10 days vs. 2 months Avoided any application re-engineering Percona Galera Cluster eCommerce