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Star Schema Design:
Our system primarily operates using a centralized Star Schema design, with a single HERCULES machine serving as the central point of communication for each environment. This setup is effective in managing and monitoring homogeneous environments.
For environments with inhomogeneous types of objects—such as databases of various types (e.g., MSSQL, Oracle, DB2, PostgreSQL) — we implement a more complex Snowflake Schema design.
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Cluster Design for Large-Scale and Critical Environments:
In more complex and fragmented environments, such as Global Corporations or Government Agencies, where multiple ATLAS machines may be required, we use a Cluster Design. This setup provides:
Interconnected ATLAS Machines: All ATLAS machines in the cluster can communicate with each other, allowing for seamless task sharing and coordination.
Failover and Redundancy: In case one ATLAS machine experiences downtime, others can automatically take over its tasks, ensuring uninterrupted service and resilience.
Uniform AI Training: All AI agents within the cluster are trained on consistent data, enabling standardized decision-making across the system.
With this design, the system remains resilient and adaptable, capable of managing a diverse and expansive network of HERCULES machines, even in mission-critical or large-scale deployments.
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Key Features of the Architecture:
Scalability: The layered Star and Snowflake schemas allow for seamless expansion as new environments or database types are added.
Intelligent Decision-Making: With AI-driven analysis on the ATLAS machine, decision-making is data-informed and real-time, empowering proactive management.
Resilience and Redundancy: The Cluster Design, with interconnected ATLAS machines, ensures high availability and reliability, particularly suited for large corporations and government entities.
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Snowflake Schema Design:
In this structure a dedicated HERCULES machine is assigned to manage each unique database type and then all HERCULES machines are monitored and managed from a higher-level ATLAS machine, which acts as a central point for overseeing multiple HERCULES machines, ensuring smooth operation and simplifying control.
In the Snowflake Schema, the ATLAS machine becomes the central control hub, overseeing all HERCULES machines in the network. More than just a management tool, the ATLAS machine hosts an AI service that provides advanced data analysis and insights.
This includes:
- Efficiently analyzing processes and tasks handled by HERCULES machines.
- Offering a global view of the environment through dashboards and reports.
- Acting as the primary Decision-Making Point, allowing for strategic oversight and informed decision-making based on real-time data.
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