As a global technology leader, the client drives advancements in cloud computing services, data management, and digital transformation across industries.
Their platform monitors the health of the organization's websites through secure, scalable, and data-driven dashboards with the power of Google Cloud.
The client’s challenge centered on aligning cost efficiency, operational reliability, and scalability across their cloud ecosystem.
- They wanted to optimize their infrastructure, as rapid growth had led to underutilized and unused GCP services, resulting in inflated cloud bills.
- They sought to streamline data engineering as non-partitioned datasets in BigQuery increased storage and query expenses and slowed down performance.
- The company had limited visibility into system health that created delays in identifying issues, raising risks of downtime and service degradation.
- It became essential for the client to perform frequent service deprecations and version upgradations that required structured modernization to ensure business continuity and security.
Cybage developed a comprehensive cloud optimization and modernization roadmap, tailored to the client's requirements:
For Infrastructure Optimization
- Conducted a detailed assessment of GCP configurations to eliminate underutilized and unused services.
- Optimized App Engine and auto-scaling policies, reducing infrastructure costs significantly.
- Migrated container registry and implemented Composer 3 upgrades to standardize and secure the cloud environment.
For CI/CD & Operational Efficiency
- Reinforced CI/CD processes using streamlined deployment pipelines, ensuring consistency and reducing release risks.
- Built robust alerting and monitoring mechanisms across critical GCP services to enable proactive detection and issue resolution before they impacted users.
For Data Engineering & Performance
- Restructured BigQuery datasets to improve query speed and storage efficiency using partitioning and clustering.
- Applied data optimization practices to cut recurring costs and boost data accessibility.
For Cloud Modernization
- Implemented service regularization, version upgrades, and migration to cloud-native alternatives.
- Designed a scalable, flexible architecture ready to adapt to evolving business and technical needs.
