Tuned Global Modernises Its Data Platform to Power Next-Generation Global Streaming Growth

Delivering Elastic Scalability, 33% Cost Optimisation, and 10x Ingestion Capacity with AWS Cloud-Native Architecture

Case Studies

Overview

Tuned Global is the music cloud platform enabling businesses worldwide to launch fully licensed streaming services and integrate commercial music into digital products. Operating across telecom, fitness, media, and gaming industries, the platform manages large-scale catalogues, real-time APIs, licensing infrastructure, and high-volume ingestion workflows.

As global adoption accelerated and content volumes surged, Tuned Global made a strategic decision to modernise before constraints emerge. Rather than waiting for performance bottlenecks, the company partnered with SourceFuse to redesign its SQL Server-based data architecture into a cloud-native, elastic AWS foundation built for long-term scale.

This was not a lift-and-shift migration. It was a structural evolution of the data layer to support the next decade of growth.

The Challenge

Tuned Global’s legacy SQL Server architecture had supported years of stable growth. However, scaling demands were shifting rapidly:

  • API traffic spikes from 1 million to over 10 million calls
  • Ingestion volumes were accelerating with 100,000+ new global releases daily
  • Reporting workloads generating up to 10,000 reads per second
  • Compute and storage scaling together, limiting cost efficiency
  • ETL processes were tightly coupled through SQL Server Agent jobs

The existing system was reliable, but not elastic. To remain competitive in a global streaming market, Tuned Global required:

  • On-demand scalability
  • Independent workload isolation
  • Decoupled compute and storage
  • Modern serverless ETL execution
  • Improved infrastructure economics

The objective was clear: build a cloud-native platform capable of scaling without friction.

The Solution

SourceFuse designed and executed a phased database modernisation program centred on Amazon Aurora PostgreSQL Serverless and AWS-native migration tooling. The approach prioritised risk mitigation, workload continuity, and structural scalability.

Migration to Aurora PostgreSQL Serverless

Master and Store databases were transitioned from SQL Server to Aurora PostgreSQL, enabling elastic scaling, high availability, and independent storage optimisation.

Schema Conversion & Query Remediation

Using the AWS Schema Conversion Tool (SCT), database objects were converted and manually optimised. Approximately 2,000 SQL queries were rewritten to ensure PostgreSQL compatibility and performance integrity.

Controlled Data Migration with CDC

AWS Database Migration Service (DMS) with Change Data Capture ensured synchronised replication and a controlled production cutover without disruption.

ETL Re-Platforming to AWS Glue

Legacy SQL Server Agent jobs were replaced with serverless AWS Glue pipelines, improving scalability, maintainability, and execution flexibility.

Independent Workload Scaling

Transactional ingestion and reporting workloads were separated, enabling independent scaling of read and write operations.

Infrastructure as Code Enablement

CloudFormation templates standardise Dev, Stage, and Production environments, reducing DevOps friction and improving governance.

This was a precision-led transformation, modernising only what needed evolution while preserving platform stability.

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Results

10x Ingestion Scalability

Ingestion throughput increased from 2 million to over 20 million tracks per day, enabling Tuned Global to keep pace with accelerating global release volumes.

High-Volume API Resilience

The new architecture seamlessly supports traffic bursts exceeding 10 million API calls, maintaining a consistent user experience at peak scale.

33% Database Cost Optimisation

Decoupling compute from storage and optimising Aurora workloads delivered approximately 33% reduction in annual database operating costs, without compromising performance.

Independent Read/Write Scaling

High reporting volumes (10,000 reads per second) now scale independently from write-intensive ingestion processes, improving stability and workload isolation.

25% Reduction in DevOps Friction

Serverless ETL and automated environment provisioning reduced operational overhead and simplified environment lifecycle management.

Enterprise-Ready Growth Foundation

The platform is now architected for sustained global expansion, new SaaS offerings, and future application modernisation initiatives.

SourceFuse delivered what we needed. Their AWS and database expertise was strong, and they were able to scale the team quickly when timelines tightened and new migration requirements surfaced. The Modernisation has improved our scalability and operating efficiency, and it’s given us a platform that’s easier to operate and ready to support future growth.
Yahya Bilal
Chief Technology Officer, HoE Tuned Global

AWS Services Used

  • AWS Lambda
  • Amazon S3
  • Amazon RDS PostgreSQL
  • Migrated from SQL Server to Aurora PostgreSQL
  • AWS Glue
  • Amazon DynamoDB
  • Amazon ElastiCache/Redis
  • Amazon Kinesis Data Streams
  • Amazon API Gateway
  • Amazon SageMaker/ML Service

Technology Highlights

  • Aurora PostgreSQL with decoupled compute and storage
  • Serverless ETL via AWS Glue
  • CDC-based migration strategy
  • Independent scaling of ingestion and reporting workloads
  • High-availability architecture with improved workload isolation
  • Automated infrastructure provisioning via CloudFormation

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Explore the full technical architecture, migration strategy, and measurable business outcomes behind Tuned Global’s AWS modernisation journey.

Download the complete case study to understand how to scale streaming infrastructure without scaling operational complexity.