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Traditional tools tune infrastructure, right-sizing servers to match workloads. Frugal optimizes application code and managed service usage - a growing share of cloud costs. Instead of just shrinking servers, we shrink the workloads themselves by making the code more efficient. Frugal is also an AI-native solution that doesn’t just point out problems - it actually codes fixes for them.
Frugal works all coding languages across AWS, GCP, Azure and major third-party platforms, including:
Storage – S3, Azure Blob, Google Cloud Storage
Logs & Metrics – CloudWatch, Azure Monitor, Datadog
AI – OpenAI, Anthropic, Azure OpenAI
Messaging – MSK, Confluent Cloud, Google Pub/Sub, Event Hubs
Serverless – Lambda, Azure Functions, Cloud Functions
Databases – Aurora, DynamoDB, Azure SQL, Spanner, BigQuery, Snowflake
We find waste and implement consumption-based cost savings such as:
Rebalancing API costs to storage costs
Rightsizing high-cost/low-value logs and metrics
Reducing AI token consumption with prompt caching and structured outputs
Applying caching and batching to offload frequent, costly usage
We also address best practices—tagging untracked costs, assigning clear code ownership, and ensuring cost visibility.
Frugal is built with a security-first architecture:
Read-only access to your source code, observability data, and billing data—no changes are made without your review. We do not need access to your customer data.
Data encryption in transit (TLS 1.2+) and at rest (AES-256).
Least privilege access—we request only the permissions needed to perform analysis.
No data sharing—your code and cost data are never shared with third parties or used to train AI models.
Private deployment option—for high-security environments, Frugal can run entirely inside your cloud with zero data leaving your environment.
The Frugal team has decades of experience building high-security, enterprise focused solutions. We also follow industry best practices for cloud security. We are SOC2 type 2 audited and certified.

