Databases · MongoDB
Replica set and sharded cluster operations, with policy-driven backup.
SchemaPulse applies the same operational model to MongoDB as to every other engine — one console, one policy language for backup and retention, one incident and recommendation pipeline.
SchemaPulse tracks MongoDB across standalone instances, replica sets and sharded clusters, with a dedicated backup pipeline and its own policy and run model.
Point-in-time recovery is not a property of a single dump. SchemaPulse takes a base backup and then continuously captures and retains the oplog, so the recoverable window is a real, monitored window rather than whatever the server’s oplog happens to still hold. Recovery replays the oplog forward from the base backup to the point in time you select.
Collection-level facts are gathered alongside instance metrics, so query and storage behaviour can be examined per collection rather than only per node.
Support
Versions and deployment
Supported versions
- MongoDB 6.0
- MongoDB 7.0
- MongoDB 8.0
Storage targets
- local
- NFS
- S3
- GCS
Topologies
How SchemaPulse sees MongoDB
- Standalone
- Replica Set
- Sharded Cluster
Replica set and sharded cluster topology is tracked, including election events. mongos reachability is probed alongside the data-bearing nodes.
Capabilities
What is covered on MongoDB
- Monitoring
- Database and system metrics from a signed agent on each host
- Query Analytics
- Slow queries, query timeline, index reports, background export
- Backup
- mongodump / mongorestore · Continuous oplog capture and replay for point-in-time recovery
- Point-in-time recovery
- Base backup plus continuous oplog capture and retention, with oplog replay to the selected point in time.
- Storage targets
- local · NFS · S3 · GCS
- Provisioning
- Terraform and Ansible, with the agent installed as part of the build
- Integrations
- Jira · PagerDuty · Email
Intelligence
What SchemaPulse recommends on for MongoDB
- Collection and index efficiency
- Slow operation regressions
- Replica set election instability
- Shard balance and distribution
- Backup policies without a successful verification
- Resource saturation trends