WiredTiger cache, shard hotspots, queryable encryption, query performance.
A self-managed MongoDB control plane for minimizing diagnostic data, separating access, auditing decisions and actions, and preventing LLM-driven production changes.
A self-managed MongoDB workflow for distinguishing routing fan-out, uneven ownership, range-migration overhead, cleanup debt, and replica-set pressure.
A self-managed MongoDB workflow for ranking expensive query shapes, interpreting explain evidence, diagnosing aggregation fan-out, and validating reversible index changes.
A self-managed MongoDB incident workflow for correlating WiredTiger cache, host pressure, connections, workload, replication progress, and topology evidence without mistaking symptoms for causes.
A pre-go-live architecture review for MongoDB Queryable Encryption — key management, field classification, query type constraints, driver requirements, and key rotation.
MongoDB Queryable Encryption stores and queries sensitive fields in encrypted form — what it enables, how it differs from standard FLE, and where the query type constraints bite.
A systematic runbook for assessing MongoDB version upgrade risk — FCV, driver compatibility, deprecated operators, and rollback paths before any production cutover.
WiredTiger's internal cache is MongoDB's primary memory tier — how to read its metrics, recognize eviction pressure, and size it correctly for your working set.
A systematic runbook for diagnosing slow MongoDB queries — from explain output through COLLSCAN, index selectivity, in-memory sort, and WiredTiger cache pressure.
MongoDB's default behavior is a full collection scan when no index supports the query. Here is what you need to know about single-field, compound, and multikey indexes before your collection grows past 10K documents.