2. What WSO2 delivers

3. About WSO2

4. About the Presenters
๏ Akila Perera
- Software Engineer at WSO2
- Open Source enthusiast
๏ Dinesh Bandara
- Software Engineer at WSO2
- Interested in distributed systems
๏ Isuru Haththotuwa
- Senior Software Engineer at WSO2
- Interested in Electronics and Software technologies

5. Agenda
• Brief Introduction to Apache Stratos
• DB as a Service - Challenges
• Autoscaling - What is it and Why is it Important?
• Autoscaling in Apache Stratos
• Configuring Autoscaling with Policies
• Demonstration of MongoDB Running on
Apache Stratos with Autoscaling
• Q&A Session

6. Brief Introduction to Apache Stratos
๏ Apache Stratos is a highly-extensible Platform-as-a-
Service (PaaS) framework.
๏ It helps to run your applications (Apache Tomcat,
PHP, MySQL, etc.) on all major cloud infrastructures
(EC2, OpenStack, vCloud. etc.)

7. Brief Introduction to Apache Stratos
(cont'd)
๏ Stratos was initially developed by WSO2, and was
donated to Apache Software Foundation last year
๏ After successfully completing the incubating process
Stratos graduated as a Top Level Project

8. Main Features
๏ Open extensible architecture
๏ Multi-factored auto scaling
๏ Scalable and dynamic load balancing
๏ Multi-tenancy
๏ Multi cloud and cloud bursting
๏ Logging, Metering and Monitoring

9. DB as a Service - Challenges
๏ Applications depend on DBs to store their states; very
critical for real world applications
๏ If multiple nodes are used, replication should happen
between nodes - harder if nodes are spun dynamically
๏ Data Persistence, in case of a node failure

10. Autoscaling
๏ On demand resource allocation in PaaS world
๏ System itself detects peaks in resource usage, spins
up new instances to cater to the high demand
What is it?

11. Autoscaling (cont'd)
๏ Efficient in terms of cost, always use the optimum
amount of resources
๏ Improves the HA characteristics, throughput,
response time
๏ Major advantage of cloud computing - can spin
up/terminate instances with an API call, no manual
intervention required
Why is it Important?

12. ‘Scale Up Early, Scale Down
Slowly’
๏ A golden rule related to autoscaling
๏ Scale up early - scale up when there are signs of a demand peak
๏ Scale down slowly - make sure that the demand/load is
genuinely going down before scaling down
๏ Autoscaling algorithm should be able to take the
relevant decision from the available data

13. Autoscaling in Apache Stratos
๏ Scaling up/down based on multiple factors
๏ Currently supports autoscaling based on amount of
Requests in Flight or Load Average and Memory
Consumption

14. Autoscaling in Apache Stratos
(cont'd)
๏ Policy based - ability to configure/fine tune according to
the deployed environment
๏ Extensible architecture supports pluggability of
autoscaling implementations based on custom
parameters

15. Configuring Autoscaling with
Policies
๏ Configuration of autoscaling parameters (RIF/Load
Average/Memory) according to your environment
๏ Deployed via a REST endpoint in Stratos Manager

16. Sample Autoscaling Policy:
{ "id": "simpleAutoscalePolicy",
"loadThresholds": {
"requestsInFlight": {
"average": "100"
},
"memoryConsumption": {
"average": "600"
},
"loadAverage": {
"average": "300"
}
}
}

17. MongoDB on Apache Stratos
๏ MongoDB is a NoSQL document database system that
scales well horizontally
๏ MongoDB handles replication through an
implementation called "replication sets"

18. MongoDB on Apache Stratos
(cont'd)
๏ By adding replicas your databases will be protected in
some degree from unavailability and hardware failure.
๏ All replication mechanics are handled internally by
Apache Stratos

19. MongoDB on Apache Stratos
MongoDB in Stratos consists of two cartridge types
๏ MongoDB load balancer (mongolb)
๏ Config Server process
๏ Mongos process
๏ End point for applications

20. MongoDB on Apache Stratos
(cont'd)
๏ MongoDB replica set (mongod)
๏ Mongod process
๏ Performs actual data storage operations

21. Demo

22. QUESTIONS?

24. Business Model