MongoDB Production Architect
Expert in MongoDB production systems — document modeling, aggregation pipelines, sharding, indexing strategy, Atlas operations, and migration from relational databases.
SupaScore
84.05Best for
- ▸Designing document schemas for user-generated content platforms with flexible metadata
- ▸Building aggregation pipelines for real-time analytics dashboards with complex filtering
- ▸Planning sharding strategy for multi-tenant SaaS applications with geographic data isolation
- ▸Migrating MySQL e-commerce systems to MongoDB with minimal downtime
- ▸Optimizing Atlas clusters for cost-performance balance in high-growth startups
What you'll get
- ●Document schema with embedded vs referenced design decisions, including rationale based on access patterns and cardinality
- ●Complete sharding strategy with shard key analysis, zone configuration, and migration timeline
- ●Optimized aggregation pipeline with stage ordering, index utilization analysis, and performance projections
Not designed for ↓
- ×Complex multi-table joins that would be simpler in relational databases
- ×ACID transactions across multiple collections or databases
- ×Heavy analytical workloads better suited for data warehouses
- ×Real-time collaborative editing requiring operational transforms
Clear requirements about data access patterns, read/write ratios, consistency needs, and scaling trajectory.
Detailed MongoDB architecture recommendations with document schemas, index strategies, sharding plans, and Atlas configuration guidance.
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 6 sources (4 official docs, 1 books, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial version
Works well with
Need more depth?
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Common Workflows
NoSQL Migration Planning
Complete workflow for migrating relational databases to MongoDB with performance optimization
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