Quper is a FinOps intelligence product built on the FOCUS v1.2 data model — the open specification for cloud cost and usage data. It delivers unit cost analytics, anomaly detection, optimization indicators, and Redshift health monitoring through a multi-layer data pipeline from raw FOCUS data to actionable insights.
Explore the four core components of the Quper platform.
React-based dashboard for Redshift observability, cost analytics, IAM, and AI-powered insights.
FastAPI backend powering multi-tenant alerting, escalation policies, FinOps analytics, and RBAC.
LangChain-powered AI agent with 25 tools for AWS cost intelligence and Redshift performance analysis.
Domain-driven data sync engine that synchronizes Redshift data to PostgreSQL with scheduled jobs.
Everything you need to monitor, optimize, and manage your AWS Redshift infrastructure.
Unit cost analysis, Z-score anomaly detection, Coefficient of Variation volatility classification, and period comparison — all built on the FOCUS v1.2 open standard.
Cluster node detection, query spill analysis, bitmask-decoded alert events, vacuum prioritisation, and sort-key encoding metrics sourced directly from Redshift system views.
Multi-tenant RBAC with hierarchical permission resolution: user-level overrides take precedence over group, role, and global settings.
Rule-based alert evaluation with multi-stage escalation policies, on-call schedule resolution, and four notification channel types.
LangChain ReAct agent with 25 tools — queries Redshift system views and AWS Athena CID data to answer natural language FinOps questions.
DDD-structured Redshift → PostgreSQL sync pipeline: Extract via redshift-connector, Transform via typed entities, Load via idempotent PostgreSQL upserts.