Success Story

• The client is a global leader in digital advertising technology, helping publishers and advertisers manage and optimize ad campaigns at scale.
• Operating at the intersection of advertising and cloud-based technology, the firm serves across multiple industries worldwide.

As the client's digital presence grew, so did the need for a scalable, well-monitored cloud infrastructure. This highlighted several opportunities to improve the platform, including:

• Leveraging GCP for the following services:
  • Reliable site hosting for consistent uptime and performance
  • Scalable cloud storage (GCS) for site media assets
  • Automated triggers to streamline workflows
  • Cloud SQL for centralized, reliable data storage
  • Staging environment with version control for safe testing
  • Secret Manager for secure credential management
  • Memcache for improved site caching and performance
• Cost optimization to prevent unexpected spikes from escalating cloud spend without proper monitoring and auto-scaling.
• Monitoring and logging setup across virtual machines, databases, storage, and external APIs for full-stack visibility.

Cybage addressed these key site performance and reliability challenges as part of its cloud consulting services and Google Cloud application modernization efforts. The following solutions strengthened site stability, improved performance, and supported long-term scalability.

• Migrated site hosting to GCP's managed infrastructure, eliminating single points of failure and ensuring consistent uptime.
• Configured Cloud SQL with connection pooling and Memcache to eliminate 500 errors caused by heavy database traffic on the Research site.
• Built automated triggers to replace manual, recurring operational tasks with event-driven workflows.
• Set up a staging pipeline with version control, enabling changes to be tested and validated before reaching production.
• Centralized all sensitive credentials in Secret Manager, removing hardcoded database and storage credentials from the codebase.
• Configured real-time alerting for 404 errors on ai.google, catching broken campaign links before they affected users.
• Applied auto-scaling policies tuned to actual traffic patterns, keeping cloud costs aligned with usage.
• Rolled out Cloud Monitoring and Cloud Logging across compute, storage, database, and API layers for unified, full-stack visibility.

• Accelerated deployment of changes to production, reducing time-to-market for updates.
• Strengthened security and compliance with built-in features and global standards.
• Improved site loading time through cloud migration and application modernization services.
• Reduced manual effort across recurring workflows through automation.