1. About the Client
The Client offers a product for Anomaly Detection, which utilizes relational graph
data structures, novel data science, and intuitive visualization to enable security
operations teams to reduce alert fatigue, accelerate investigations, and find hidden
risks. They specialize in Enterprise Security, Big Data, Security Analytics, Security
Intelligence, Endpoint Security, Forensics, Incident Response.
Requirements
 Automated deployment and instance creation on multiple environments
including cloud
 Improve performance benchmark inline or better than the competitors
 Infrastructure solution for scalability
Technology Stack
Apache Cassandra, Apache Spark, Apache Kafka, Apache Hbase, NodeJS,
ElasticSearch, Kibana
Tools
TerraForm, Ansible, Vagrant, YourKit, Marvel, In-House tools
Solutions Provided
 Identified tools (Ansible & Terraform) for auto deployment on cloud and
Virtual environments
 Developed scripts for instance creation on Cloud and Virtual environments
 Designed a maintainable automation deployment and instance creating
scripts
 Used proprietary monitoring tools for scalability and benchmark tests
 Actionable recommendations were provided for performance improvements
 Infrastructure sizing for the application was provided
 Delivered intuitive reports to understand the performance of the application
Key Benefits
 Reduced the overall time of creating the instance and deployment of the
application.
 Automated deployments have helped in faster on-boarding of customers and
creation of new demo environments on the fly
 The application performance was improved by 400%
 The improved performance benchmark numbers gave the customer a huge
competitive advantage