Parana

FinOps & Cost Optimization · Multi-Cloud Infrastructure (AWS/GCP)

Parana is a dynamic technology platform that experienced rapid business growth, leading to unmanaged cloud infrastructure scaling and surging operational costs. We conducted a meticulous cloud infrastructure audit and executed a comprehensive FinOps cost-reduction program, eliminating technical waste and establishing long-term budget predictability without sacrificing platform performance.

Challenge

The client's infrastructure had become a "black box" of unpredictable, climbing multi-cloud bills. With the internal team entirely focused on rapid feature delivery, the system began suffering from severe operational inefficiencies, resource duplication, and abandoned legacy assets.

Excessive log storage overhead
Massive volumes of low-value informational and debug logs were continuously written directly into production, generating skyrocketing storage fees with zero operational benefit.
Underutilized & idle compute
GKE node pools were poorly optimized to handle loads, causing instances to run at an inefficient baseline with resource utilization dropping below 35%. Personal development and staging environments were left running 24/7 outside of business working hours.
Orphaned AWS infrastructure
Multiple legacy "sandbox" accounts from former team members were left active, draining hundreds of dollars monthly. Production AWS Lambda functions were completely duplicated across two separate regions (N. Virginia and Frankfurt) alongside redundant development deployments where no development was actively occurring.

What we delivered

Log storage refactoring
Disabled code-level debug logging, stripped out non-application logs, applied rigid filtering, and redirected essential informational traffic to a dedicated sink.
Elastic compute & environment scheduling
Created optimized node pools in GKE with auto-scaling enabled and deployed automated scale-down policies that downscale personal development environments based on active working hours.
AWS clean-up & consolidation
Deployed root account recovery protocols to permanently close orphaned sandboxes, initiated regional Lambda consolidation to a single primary region, and launched a comprehensive cleanup of stale DNS records via Route53.
Contract optimization framework
Evaluated and prepared the transition to Committed Use Discounts (CUDs) for predictable analytics and compute workloads across Compute Engine, Cloud SQL (PostgreSQL/MySQL), and BigQuery.

Key advantage

Zero-waste, elastic cloud architecture that automatically downscales during off-peak hours and applies smart application filtering to prevent billing anomalies.

Outcome

We designed and executed targeted resource-rationalization and FinOps governance guardrails. By tackling logging pipelines, refactoring cloud scheduling, and recovering orphaned accounts, we converted an unmanaged infrastructure liability into a lean, highly efficient architecture.

Technologies