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.

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