The client required a strategic engineering partner to help scale and stabilize its Ads Platform amid rising traffic and operational complexity. Key challenges included infrastructure automation, observability, security, scalability, and data governance
Slow Infrastructure Provisioning & Manual Overhead
Time-consuming setup processes and manual workflows slowed delivery velocity
Fragmented Observability & Incident Response
Multiple disconnected monitoring tools delayed issue detection and resolution
Secrets Management & Security Posture
Inconsistent handling of secrets increased risk exposure and affected compliance
Scalability Constraints
The platform faced challenges in scaling efficiently under growing user and system demands.
Data Engineering & Governance Gaps
Lack of standardized pipelines, controls, and governance led to data quality and access issues
Developed reusable AWS Terraform modules to accelerate provisioning with built-in security and compliance
Built unified observability using Datadog, Telegraf, Splunk, and CloudWatch to enhance incident visibility and response
Implemented a declarative, YAML-driven alert system to improve alert consistency and make incident prioritization more efficient
Managed 1,750+ hardware units and introduced a real-time deployment tracker, reducing failures by 50%
Executed a zero-downtime upgrade and migration of 500+ microservices across multi-region environments
Deployed secure SFTP on S3 to enable scalable, compliant data transfers across teams and systems
9x faster on-prem deployment through infrastructure automation
90% reduction in certificate-related incidents
Seamless uptime during 220% increase in traffic
1,750+ hardware nodes managed; 500+ services migrated
50% fewer deployment failures via observability and tracking
50% faster release cycles for new features
Robust data governance and improved compliance posture
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