Get a firsthand look at how CumuLogic solutions empower your organization to implement and operate your MySQL and Percona databases in a self-service manner inside the firewall.

1. Chip Childers
VP Product Strategy
Sandeep Patni
Co-Founder and VP Systems
Operating MySQL “as-a-service”
on Any Infrastructure

2. • Suite of cloud services to deliver private-label, high value Amazon-like
cloud services on any infrastructure
CumuLogic’s Platform at a Glance
Elastic
Load
Balancer
Message
Queue
aaS
Relational
DBaaS
Application
Frameworks
Cache
aaS
NoSQL
-aaS

3. • Software platform to deliver fully
managed relational Database-as-a-
Service
• Web service to setup, operate and scale
relational databases in the cloud
• Simple to deploy, easy to scale, reliable
and cost effective for customer
• Easy setup of highly available
configurations
• Designed to be Amazon RDS-compatible
CumuLogic Database Service
Relational Databases-as-a-Service

4. Relational Database Service: Value Proposition
Cloud Service Providers:
1. Increases IaaS consumption
2. Turn-key access to new, high-
value service giving you new
revenue streams
3. Ability to differentiate and compete
with AWS RDS with one of the
most popular relational databases
Enterprises:
1. Automates 75-90% of manual
operational tasks
2. Empowers developers with a
MySQL or Percona database in
a self-service manner inside the
firewall
3. Runs on any cloud and private
infrastructure (i.e. virtualized
environment, bare metal)

5. • DB instances
- Read only replica and read-only replica sets in multi-availability zones
- Multiple node and multi-availability zone
• DB parameter groups
- DB parameter group families
• DB snapshots
- Recover/restore snapshots in other availability zones
• Automated backups
- Backup windows
Relational Database Service
AWS Feature Compatibility

6. • Performance based on hardware
- Storage I/O Performance, Bandwidth
- SSD drives, OS, RAID, Filesystems
• Baseline Amazon RDS performance
- MySQL maximum throughput reaches at 64 concurrent connections
irrespective of database size
- Maximum throughput achieved with XL instance (15GB memory, 4 core
CPU, non-SSD storage volumes) at 7000 tpm
• Scale-out vs. scale-up
Relational Database Service
Performance

7. • DB Parameter Groups
• Dynamically apply changes to
running database
• Monitor performance and
utilization metrics
DB Parameter Group1 Value
innodb_buffer_pool_size
innodb_log_buffer_size
innodb_open_files
innodb_thread_concurrency
join_buffer_size
key_buffer_size
max_binlog_size
max_connections
query_cache_size
read_buffer_size
sort_buffer_size
thread_cache_size
Relational Database-as-a-Service
Fine Grained Configuration Control
Customized
Values

8. Application
Relational Database Service
Deployment Patterns: Additional Read Replicas
Read
RAID 10
ReadRead/Write
Replication
Region 1 Zone 1
RAID 10 RAID 10

9. Application
Relational Database Service
Deployment Patterns: Clustering
Secondary
RAID 10
SecondaryPrimary
Cluster
Region 1 Zone 1
RAID 10 RAID 10

10. Relational Database Service
Deployment Patterns: Multi-zone Replication w/ Automatic Failover
Application
Read
RAID 10
Read/Write
Replication
RAID 10
Region 1 / Zone 1 Region 1 / Zone 2

11. Relational Database Service
Deployment Patterns: Multi-zone Replication w/ Automatic Failover
Application
Read
RAID 10
Read/Write
Replication
RAID 10
Region 1 / Zone 1 Region 1 / Zone 2

12. • Contact us at info@cumulogic.com
• Request a Sandbox Environment: cumulogic.com/resources/sandbox/
• Download a trial version: cumulogic.com/downloads/installer/
• Learn More: cumulogic.com/cumulogic-software-portfolio/sql-database-
as-a-service/
• DBaaS Overview Guide: cumulogic.com/documentation/CumuLogic-
DbaaS-Overview-Guide.pdf
Questions?