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Case Studies > LeadSquared centralizes database monitoring to boost product performance by 10x

LeadSquared centralizes database monitoring to boost product performance by 10x

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Application Infrastructure & Middleware - Data Visualization
Applicable Industries
  • Software
  • Professional Service
Applicable Functions
  • Business Operation
  • Quality Assurance
Use Cases
  • Predictive Maintenance
  • Remote Asset Management
  • Process Control & Optimization
  • Real-Time Location System (RTLS)
Services
  • System Integration
  • Software Design & Engineering Services
  • Cloud Planning, Design & Implementation Services
The Challenge
LeadSquared provides a cutting-edge, end-to-end CRM and marketing automation platform to more than 300,000 users across 1,500 brands globally. With a successful SaaS offering that delights its customers, the company has been experiencing rapid growth. A business that began with one office in India has now expanded to multiple offices across continents. For the SaaS offering to keep pace with swift customer adoption, the engineering team needed to quickly increase the Aurora databases in the company’s Amazon Web Services (AWS) environment. The engineers had to individually analyze each database log to assess how the product was performing, which was a complex and time-consuming endeavor. As the number of database clusters grew, it became very hard to monitor and analyze if database issues were negatively impacting the SaaS product performance and, in turn, the customer experience. LeadSquared wanted a scalable and automated way to centrally monitor performance across all its database clusters.
About The Customer
LeadSquared is a rapidly growing company that provides a cutting-edge, end-to-end CRM and marketing automation platform to more than 300,000 users across 1,500 brands globally. The company started with one office in India and has now expanded to multiple offices across continents. LeadSquared's SaaS offering has been highly successful, delighting its customers and driving rapid growth. The company’s engineering team is tasked with ensuring that the SaaS platform keeps pace with swift customer adoption, which involves managing and monitoring a growing number of Aurora databases in their Amazon Web Services (AWS) environment. The company is committed to providing a responsive, high-quality experience for its customers, making database performance a critical component of their operations.
The Solution
To address the company’s needs, LeadSquared conducted market research and selected Sumo Logic as the only solution that met its two essential requirements: central log monitoring and pre-built dashboard analytics. Sumo Logic provides a cloud-native platform that integrates with LeadSquared’s AWS infrastructure to centrally index and analyze log data and metrics in real-time. This solution allowed LeadSquared to avoid the heavy lift of creating their own dashboards, accelerating the process of getting started quickly. Sumo Logic is an integral resource for the company’s software development, providing deep, holistic insights into LeadSquared’s AWS environment, including several hundred microservices running on more than 50 database clusters. The real-time analytics and dashboards make it easy to identify any performance patterns and troubleshoot issues. Sumo Logic’s APIs also made it easy to automate log monitoring for LeadSquared’s regular infrastructure expansions, allowing the company to maintain a complete view of its SaaS product performance across its evolving AWS, Elasticsearch, and Redis database environments.
Operational Impact
  • Sumo Logic provides deep, holistic insights into LeadSquared’s AWS environment, including several hundred microservices running on more than 50 database clusters.
  • The real-time analytics and dashboards make it easy to identify any performance patterns and troubleshoot issues.
  • Sumo Logic transformed a manual, 16-hour log analysis effort down to a single query, allowing the development team to immediately identify any issues with product performance.
Quantitative Benefit
  • LeadSquared experienced a ten-fold performance increase in speed for customer database queries.
  • The development team can now do a weekly analysis of more than 100 queries to proactively pinpoint any performance patterns.
  • LeadSquared spins up two new database clusters each month to meet growing customer adoption and demand.

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