About The Client

The client is a global leader in cloud-native cybersecurity, delivering a zero-trust security platform that helps large enterprises securely connect users, devices, applications, and data. They were managing a highly complex Salesforce ecosystem. More than 10 global teams, operated across 10 environments, with extensive use of Salesforce products.

Business Challenge

  • Heavy customization and growing legacy data volumes led to frequent governor limit breaches, creating performance bottlenecks and limiting scalability.

  • The environment expanded into a highly complex ecosystem with thousands of custom objects, fields, reports, dashboards, templates, and managed packages, increasing system complexity and governance challenges.

  • Over 1M lines of Apex code and thousands of VF, Aura, and LWC components created a deeply customized architecture. Hundreds of batch jobs and APIs supported millions of service cases, resulting in strong interdependencies that made enhancements and troubleshooting difficult.

  • 50+ integrations connected multiple business-critical systems, adding operational complexity and significantly increasing the challenges of monitoring and error resolution.

Business Solutions

  • Upgraded Visualforce and Aura components to Lightning Web Components (LWC).

  • Converted complex Apex logic into declarative Flows where possible.

  • Introduced standardized Apex frameworks.

  • Removed unused custom fields, reports, and redundant automation rules.

  • Archived legacy data to reduce storage load.

  • Optimized code and improved SOQL query efficiency.

  • Built a centralized integration framework to streamline all external integrations under a unified structure.

  • Developed an ETL framework to standardize data transformation (XML to JSON, CSV to JSON).

  • Consolidated multiple Apex batch jobs into a single streamlined job.

Results

  • 50% reduction in governor limit exceptions through optimized queries and refactored code.

  • 30% faster system performance by archiving legacy data and improving query efficiency.

  • 20% reduction in metadata overhead by removing unused fields, reports, and rules.

  • 40% reduction in integration errors through a unified integration framework.

  • 35% reduction in batch job runtime with consolidated jobs and optimized scheduling.

The transformation simplified the Salesforce ecosystem, improved stability, and positioned the organization for scalable growth and innovation.

Related Case Study