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Sylvaxo S
Sylvaxo
Software Studio
Cloud & Distributed SystemsYear: 2023Client: Strata Data Systems

Petabyte-Scale Query Aggregation Reducing Cloud Costs by 38%

Multi-tenant cloud data platform orchestrating automated DuckDB cache partitions and serverless compute clusters across AWS and GCP.

Verified Outcome 01

38% decrease in customer monthly warehouse billing

Verified Outcome 02

P95 query response time accelerated from 4.2s to 180ms

Verified Outcome 03

SOC2 Type II certified infrastructure delivery

01 · Architectural Context

The Challenge

Strata's enterprise customers were running into runaway Snowflake bills due to unoptimized analytical queries scanning unpartitioned historical partitions.

02 · Engineering Execution

The Engineering Solution

We implemented an automated query optimizer and local Arrow/DuckDB caching layer that serves 80% of repetitive operational queries with zero cloud warehouse compute consumption.

Technologies Deployed

Cloud InfrastructureTerraformDuckDBAWSKubernetes
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