Under the Hood: Deconstructing the Anavsan Platform Architecture

In our recent announcement, we introduced Anavsan as the AI co-pilot for Snowflake cost and performance optimization, designed to end "bill shock" and empower DataOps and FinOps teams. But how does Anavsan achieve such precise waste detection, predictive validation, and collaborative resolution? The answer lies in its meticulously engineered architecture.

Today, we're pulling back the curtain to reveal the core components that make Anavsan an Agentic AI platform, transforming reactive monitoring into proactive prevention of Snowflake credit loss at the source.

Let's explore the foundational elements that power the Anavsan Platform.

1. The Foundation: Secure Deployment & Metadata Ingestion

Anavsan is built for seamless integration and robust security. Our platform is designed to be agentless and secure, meaning it operates without installing any agents in your production environment. This minimizes overhead and eliminates potential security risks.

Secure Deployment: Users can easily sign up and onboard instantly using their GitHub or Gmail accounts. This streamlined process ensures quick access to Anavsan's powerful capabilities.

Metadata Ingestion: The platform's intelligence begins with comprehensive data ingestion. Anavsan securely connects to your Snowflake environment to gather critical metadata, queries, logs, and notifications. As depicted in our architecture diagram, our input sources include:

• Snowflake Metadata: This encompasses a rich array of data points such as Storage, Cortex, Compliance Logs, Query details, Query Notifications, Warehouse configurations, Table & Column schemas, and Serverless functions. By analyzing these, Anavsan gains a holistic understanding of your Snowflake usage patterns.

• Other Input Sources: We also integrate with your operational workflows, pulling data from your GitHub Workspace, Snowflake Workspace, and Query Templates. This allows Anavsan to understand your development practices and query patterns in context.

Crucially, Anavsan accesses only metadata, ensuring zero security risk to your sensitive data. This foundation of secure, comprehensive metadata ingestion is what fuels the intelligence of the entire platform.

2. The Brain: The Proprietary Knowledge Graph

At the heart of Anavsan's intelligence lies our Proprietary Knowledge Graph. This isn't just a database; it's the "brain" of the platform, continuously learning and mapping the intricate relationships within your Snowflake environment.

The Knowledge Graph performs a continuous analysis of your Snowflake metadata, building a dynamic, company-specific understanding of:

• Queries: How they are structured, executed, and their historical performance.

• Users: Who is running what, and their impact on resource consumption.

• Warehouses: Sizing, usage patterns, and efficiency.

• Costs: Attribution and consumption trends.

• Data Objects: Tables, columns, and their interdependencies.

This deep contextual awareness allows Anavsan's Agentic AI to move beyond generic advice. Instead, it delivers hyper-accurate, technically demanding recommendations tailored to your specific environment. For example, it can identify missing clustering keys leading to inefficient full table scans, suggest optimal warehouse sizes based on actual workload patterns, or pinpoint the exact line of SQL code that needs rewriting for better query pruning.

3. The Testing Ground: The Simulation Engine

One of the biggest hurdles in optimizing Snowflake is the fear of unintended consequences. An optimization that saves credits but tanks performance is a non-starter. This is where Anavsan's Simulation Engine comes into play – our risk-elimination powerhouse.

The Simulation Engine provides a safe, credit-free environment for FinOps and Data Engineering teams to test the impact of any proposed change. Before deploying a single modification, you can accurately model:

• Credit Burn: How much credit will a query tuning, warehouse resizing, or retention policy adjustment save?

• Execution Time Impact: Will the proposed change negatively affect query performance?

By allowing you to validate guaranteed savings and performance impacts before deployment, the Simulation Engine transforms hopeful adjustments into calculated, high-ROI actions. It ensures that every optimization is risk-free, giving you confidence in your cost-saving strategies.

4. The Workflow: The Collaborative Workspace

Cost control is a team sport, but often, FinOps and Data Engineering teams operate in silos. Anavsan's Collaborative Workspace is designed to bridge this gap, unifying these critical stakeholders into a single, efficient workflow.

Within the workspace:

• FinOps teams gain comprehensive attribution and forecasting capabilities, allowing them to precisely identify where credit leakage is occurring.

• Data Engineers receive precise, AI-generated code rewrites and clear assignments to fix identified issues.

This integrated approach ensures that cost governance is not just discussed but actively enforced. It accelerates the time-to-resolution for performance issues and fosters a culture of shared responsibility and proactive optimization. The Agentic Layer, sitting atop the Knowledge Graph, orchestrates these insights and actions, ensuring that recommendations are not just presented, but are actionable and lead directly to resolution within this collaborative environment.

Conclusion

The Anavsan platform is more than just a monitoring tool; it's a paradigm shift in Snowflake cost and performance management. By combining secure metadata ingestion, a proprietary Knowledge Graph for contextual intelligence, a risk-free Simulation Engine, and a Collaborative Workspace, Anavsan empowers your teams to move from reactive firefighting to proactive, intelligent optimization.

We believe that understanding the architecture behind Anavsan highlights our commitment to delivering a truly agentic solution that stops credit loss at the source and drives unparalleled efficiency in your data operations.

Ready to experience the power of Agentic AI for your Snowflake environment?

Start your 14-day Free Trial and discover your guaranteed savings potential, or Book a Demo with our architects to see the Simulation Engine in action.