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Documentation • Enterprise

Cloud Firexus Enterprise edition in Native mode

A practical guide for teams that need to scale data infrastructure with confidence, preserve developer productivity, and operate with enterprise-grade controls.

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Enterprise-grade scalability
Cloud Firexus Enterprise in Native mode is designed for teams operating high-growth production apps that require consistent performance under unpredictable read/write load patterns.
Native mode developer ergonomics
You keep the familiar document model, real-time listeners, and expressive query behavior, while gaining enterprise controls for governance, reliability, and operational maturity.
Security and compliance alignment
From access policy design to encryption and audit-ready controls, the platform is intended to support practical security implementation without slowing product iteration.
Architecture fit

Native mode is a strong fit for product teams that need both speed and discipline: rapid feature delivery for developers, combined with robust guardrails for production operations.

It supports hierarchical document structures, event-driven application behavior, and real-time update models common in modern web and mobile products.

For organizations moving from fragmented infrastructure, this mode offers a path to consolidate data workflows without forcing disruptive platform rewrites.

Security and governance

Security posture should be designed as part of implementation, not bolted on afterward. Define policy boundaries for client applications, server workloads, and operational tooling from the first environment setup.

Use rules for client-facing enforcement and IAM for service and backend pathways. Layer in monitoring, anomaly detection, and audit review routines to maintain control as your team scales.

Implementation path (recommended)
  1. Audit your current data model, indexing strategy, and high-latency query paths before migration planning.
  2. Define environment boundaries (dev, staging, prod) and align rule policy, IAM roles, and access controls by team responsibility.
  3. Roll out in stages: migrate low-risk collections first, benchmark, then move critical transactional workloads.
  4. Enable observability from day one: monitor query cost, response times, listener behavior, and regional performance variance.
  5. Add rollback checkpoints to each migration milestone so production risk stays controlled.
Choose Enterprise Native mode when...
  • You need stronger operational controls for mission-critical apps.
  • Your team requires predictable scaling with strict reliability standards.
  • You are optimizing for long-term architecture, not just short-term launch speed.
Start with standard stack when...
  • You are in early MVP stage and still validating product-market fit.
  • Your data access patterns are simple and low-volume.
  • Your immediate priority is shipping quickly before workload complexity grows.
Performance readiness
Benchmark key user flows and data paths before launch. Measure both average response time and worst-case behavior under load.
Operational checklist
Validate incident response process, backup/restore routines, and deployment rollback controls before production handoff.
Risk controls
Treat data access governance, identity boundaries, and policy drift monitoring as first-class requirements.