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Case Study
Indian Artificial Intelligence based software company
CloudCover + GCP
Result Overview
The client is a consumer internet company that personalize the smartphone experience
The client wanted to migrate their data from Azure to GCP in near real time, supporting new SQL based data model with live replication.
Azure Cosmos DB data to be migrated to GCP Spanner
Azure PostgreSQL to GCP PostgreSQL data migration
Azure Redis Enterprise to GCP Redis Enterprise migration
The Challenge
One of a kind, NoSQL to SQL migration with in-flight transformations with minimum downtime
Data Migration
Streaming replication between Cosmos DB to Spanner, Azure PostgreSQL to GCP PostgreSQL, Azure Redis to GCP Redis.
Queries Per Second
Meet very high throughput and low latency requirements (~14K QPS writes & ~160K QPS reads and < 20 ms latency for Spanner.)
Cloudcover Impact
CloudCover helped the client move their data assets from Azure to GCP in near real time, transforming data on the fly to leverage the power of Google Cloud
Data Pipelines
CloudCover built data pipelines for data migration for both batch import and real-time streaming, leaving no gap.
Database Capabilities
The client revamped their data model across Spanner to take the full advantage of distributed SQL database capabilities
Cost Optimization
The client got confidence in their decision to migrate their other services from Azure to GCP to save cost and benefit from rich GCP ecosystem
Snapshot Data Migration
Built Dataflow jobs for snapshot data migration, no-code-changes migration and streaming replication with schema evolution support