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Hybrid Cloud Infrastructure Optimization for AdTech Scalability and Cost Efficiency
  1. case
  2. Hybrid Cloud Infrastructure Optimization for AdTech Scalability and Cost Efficiency

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Hybrid Cloud Infrastructure Optimization for AdTech Scalability and Cost Efficiency

lineate.com
Advertising & marketing
Information technology

Challenges in AdTech Cloud Cost Management and Scalability

Cloud hosting pricing models are ill-suited for AdTech's high-volume, small-transaction workloads, leading to excessive costs. AdTech platforms require cost-effective infrastructure that can handle unpredictable traffic bursts while maintaining low-latency performance for real-time bidding and data processing.

About the Client

AdTech company specializing in cloud-native data integration and infrastructure optimization for advertising workloads

Objectives for Cloud Optimization Solution

  • Reduce cloud hosting costs by 40-60% through hybrid infrastructure design
  • Implement scalable architecture for handling variable AdTech traffic patterns
  • Enable seamless integration of real-time bidstream data with analytics platforms
  • Ensure high availability and fault tolerance for critical AdTech services

Core System Functionalities and Features

  • Cost-optimized hybrid cloud deployment with automated workload balancing
  • Real-time data integration from bidstreams and third-party sources
  • Dynamic autoscaling for traffic bursts with Kubernetes orchestration
  • Centralized monitoring and cost analytics dashboard
  • Automated CI/CD pipelines for AdTech application deployment

Target Technology Stack

Terraform
Kubernetes
Docker
Apache Spark
Apache Kafka
AWS Lambda
Amazon Athena
AWS LakeFormation

Required System Integrations

  • AWS Cloud Services (Lambda, Step Functions, EventBridge)
  • Data lakes for historical analytics
  • Third-party AdTech platforms (DSPs/SSPs)
  • Real-time bidding systems
  • Monitoring tools (Prometheus/Grafana)

Critical Non-Functional Requirements

  • Sub-100ms latency for bidding operations
  • 99.99% system availability
  • Horizontal scalability to handle 10x traffic spikes
  • Automated failover and disaster recovery
  • Compliance with data privacy regulations (GDPR/CCPA)

Expected Business Impact of Cloud Optimization

Projected annual cost savings of $10M+ for AdTech clients through optimized infrastructure utilization, 50% faster deployment cycles for new AdTech features, and improved system reliability enabling capture of additional advertising opportunities during peak traffic periods.

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