Logic pursuits
Logic pursuits
Cloud Platform
Governance Suite
Give engineering teams a structured, Snowflake-native view of platform health, compute efficiency, storage hygiene, access governance, and operational stability to identify waste, risk, and priorities.
Snowflake costs rise without proper management. PlatformOps helps teams
manage risk and prioritize fixes.
Snowflake environments can accumulate waste and risk as they grow. Warehouses run idle between workload bursts, storage builds up in unused tables, privileged access expands, and tasks fail without proactive investigation. Without a structured view of platform health, teams often discover these issues only after costs increase or operational problems surface.
Our PlatformOps accelerator addresses this with a Snowflake-native view of compute efficiency, storage hygiene, access governance, and operational stability. Built entirely from Snowflake’s native usage data, it surfaces waste, risk, and operational issues across the environment, then prioritizes what needs attention with estimated credit savings and specific remediation steps. The result is greater visibility into platform health and a shift from reactive cost investigations to proactive platform management.
From invisible waste to a managed,
optimized platform.
Our PlatformOps accelerator follows five stages to assess, monitor, identify, prioritize, and optimize Snowflake platform health across compute, storage, access, and operations. 
Establish baseline health across compute efficiency, storage hygiene, role governance, account security, and operational stability using Snowflake usage data and defined health thresholds.
Monitor warehouse, storage, access, query, role, task, load, and login activity through Snowflake-native usage data, with results refreshed on a defined schedule
Detect idle compute, cold storage, excess privileges, inactive users, failed tasks, query errors, and unused objects across the five platform health dimensions
Rank findings by severity, estimated credit savings, risk, and remediation effort, giving platform and finance teams a clear view of what to fix first.
Provide copy-ready SQL, rollback steps, and governance actions to address warehouse settings, cold objects, excess privileges, and retention policies with confidence.
Compute Waste Detection
Identify idle credit consumption, zombie warehouses, long-running queries, and queue-driven inefficiency, with savings estimates and configuration recommendations.
Storage Hygiene and Classification
Classify tables and schemas by storage risk, including cold objects, unused datasets, time-travel and fail-safe accumulation, and stale development objects.
Access and Privilege Governance
Audit privileged roles, inactive users, orphan roles, and complex role hierarchies to support least-privilege remediation and access reviews.
Operational Reliability Monitoring
Track task and load failures, query errors, long-running operations, and unused objects to surface reliability issues before they affect SLAs or data availability.
Ranked Findings and Remediation Guidance
Rank findings by severity and impact, with copy-ready SQL, configuration changes, and rollback steps that help teams fix issues safely.
Snowflake-Native, Zero External Dependency
Run entirely within Snowflake using native usage views and built-in metadata, with no external pipelines, third-party connectors, or additional operating costs.
Excellence through
numbers
Business-impacting platform alerts
Reduction in idle credits
Platform health investigation time
Extend Snowflake management with
continuous platform visibility
Embed continuous platform health monitoring, compute efficiency controls, and cost attribution into Snowflake data engineering and platform delivery engagements.
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Extend governance and access control with continuous visibility into privilege assignments, role hygiene, and security posture across Snowflake environments.
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Support ongoing L1/L2/L3 platform operations by surfacing failures, cost anomalies, and health signals before they require escalation.
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Apply compute and storage controls during legacy ETL migrations to prevent idle warehouses, test objects, and unmanaged storage from accumulating.
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Complement pipeline observability with platform health monitoring, connecting compute and storage signals with pipeline execution and SLA performance.
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