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Performance Testing of Big Data
Applications
Mustafa Batterywala, Performance Architect
Larry Pearson,Vice President Marketing

Impetus Technologies, Inc.
Key Big Data Technologies

• MapReduce
– Apache Hadoop, Cloudera, Hortonworks, MapR etc.

• NoSQL
– Cassandra, Mongo DB, Oracle NoSQL, Neo4j etc.

• Messaging Queues
– Kafka, ActiveMQ, RabbitMQ, ZeroMQ etc.

• Search
– Lucene, Elastic Search, Solr

© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Agenda

• Big Data Performance Testing Focus
Areas

• Challenges
• Performance Testing Approach
• Solutions
© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Performance Test Focus Areas

© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Performance Testing Challenges

•
•
•
•
•
•

© 2013 Impetus Technologies

Diverse technologies
Unavailability of tools
Test scripting
Test environment
Limited monitoring solutions
Lack of diagnostic solutions

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Performance Testing Approach

© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Performance Testing Solutions

• Performance Test Tools
– YCSB (Yahoo Cloud Serving Benchmark), SandStorm, JMeter

• Monitoring Tools
– Nagios, Zabbix, Ganglia, JMX utilities

• Diagnostic Tools (APM)
– visualVM, AppDynamics, Compuware

© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Critical Performance Parameters

•
•
•
•
•
•
•
© 2013 Impetus Technologies

Data Storage
Commit Logs
Concurrency
Caching
JVM Parameters
MapReduce Configurations
Message Queue Configurations
Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Real World Experience
The Application
•

Online Social networking website with almost 100 million registered users across the
globe

•

Hundreds of thousands of users are online at any given time

The Challenges
•
•
•
•

Develop a near real time analytics solution to analyze the user feedback and interactions

•

Real time monitoring of test environment for bottleneck identification

© 2013 Impetus Technologies

Solution uses Kafka, HBase and Hive as major technologies
SLA to support 50K messages per minute
Optimize and tune the Kafka clusters for maximum throughout

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Real World Experience
Impetus Contributions
•
•
•
•
•
•

Proposed and implemented performance test strategy for analytics solution

•

Real time monitoring using SandStorm to identify performance bottlenecks

Identified key performance components namely Kafka and Hbase for focus testing
Proposed SandStorm as performance testing tool based on project requirements
Prepared Kafka clients to simulate expected data ingestion volumes
Optimized and tune single Kafka cluster in EC2 on medium instance
Executed tests with varying message rate and reached to the max throughput of 50k
messages per minute using 3 server cluster

Benefits Realized
•
•
•

© 2013 Impetus Technologies

Optimum hardware utilization for complete solution
Zero performance issues on Go live
Maximum throughput of Kafka servers
Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Summary

• Test each component of the eco-system
– Data Ingestion Rate, Throughput, System Resources

• Automate test environment in Cloud
• Appropriate tools and plug-ins
– Cloud v/s On-premise solutions
– Custom Test Harness
– Monitoring and Diagnostic Plug-ins

• Failover and Reliability testing
© 2013 Impetus Technologies

Recorded webinar is available at http://lf1.me/cqb/
For more Info contact bigdata@impetus.com
Thank You
Recorded version available at http://lf1.me/cqb/

For more info and/or a Demo of our Big Data performance testing solution bigdata@impetus.com

@impetustech

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Performance Testing of Big Data Applications - Impetus Webcast

  • 1. Performance Testing of Big Data Applications Mustafa Batterywala, Performance Architect Larry Pearson,Vice President Marketing Impetus Technologies, Inc.
  • 2. Key Big Data Technologies • MapReduce – Apache Hadoop, Cloudera, Hortonworks, MapR etc. • NoSQL – Cassandra, Mongo DB, Oracle NoSQL, Neo4j etc. • Messaging Queues – Kafka, ActiveMQ, RabbitMQ, ZeroMQ etc. • Search – Lucene, Elastic Search, Solr © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 3. Agenda • Big Data Performance Testing Focus Areas • Challenges • Performance Testing Approach • Solutions © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 4. Performance Test Focus Areas © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 5. Performance Testing Challenges • • • • • • © 2013 Impetus Technologies Diverse technologies Unavailability of tools Test scripting Test environment Limited monitoring solutions Lack of diagnostic solutions Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 6. Performance Testing Approach © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 7. Performance Testing Solutions • Performance Test Tools – YCSB (Yahoo Cloud Serving Benchmark), SandStorm, JMeter • Monitoring Tools – Nagios, Zabbix, Ganglia, JMX utilities • Diagnostic Tools (APM) – visualVM, AppDynamics, Compuware © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 8. Critical Performance Parameters • • • • • • • © 2013 Impetus Technologies Data Storage Commit Logs Concurrency Caching JVM Parameters MapReduce Configurations Message Queue Configurations Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 9. Real World Experience The Application • Online Social networking website with almost 100 million registered users across the globe • Hundreds of thousands of users are online at any given time The Challenges • • • • Develop a near real time analytics solution to analyze the user feedback and interactions • Real time monitoring of test environment for bottleneck identification © 2013 Impetus Technologies Solution uses Kafka, HBase and Hive as major technologies SLA to support 50K messages per minute Optimize and tune the Kafka clusters for maximum throughout Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 10. Real World Experience Impetus Contributions • • • • • • Proposed and implemented performance test strategy for analytics solution • Real time monitoring using SandStorm to identify performance bottlenecks Identified key performance components namely Kafka and Hbase for focus testing Proposed SandStorm as performance testing tool based on project requirements Prepared Kafka clients to simulate expected data ingestion volumes Optimized and tune single Kafka cluster in EC2 on medium instance Executed tests with varying message rate and reached to the max throughput of 50k messages per minute using 3 server cluster Benefits Realized • • • © 2013 Impetus Technologies Optimum hardware utilization for complete solution Zero performance issues on Go live Maximum throughput of Kafka servers Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 11. Summary • Test each component of the eco-system – Data Ingestion Rate, Throughput, System Resources • Automate test environment in Cloud • Appropriate tools and plug-ins – Cloud v/s On-premise solutions – Custom Test Harness – Monitoring and Diagnostic Plug-ins • Failover and Reliability testing © 2013 Impetus Technologies Recorded webinar is available at http://lf1.me/cqb/ For more Info contact bigdata@impetus.com
  • 12. Thank You Recorded version available at http://lf1.me/cqb/ For more info and/or a Demo of our Big Data performance testing solution bigdata@impetus.com @impetustech