Data · Managed & consultancy
NoSQL
DynamoDB and MongoDB — modelled around your real access patterns, managed as you scale.
See it in action
Watch a data model hold up under load.
A DynamoDB orders table feeding search and analytics through its change stream — the same ideas apply to MongoDB. Pick a scenario.
What happens when…
DynamoDB · orders table
Change data capture
Order APIECS service
Partition 1≤1k writes/s
Partition 2≤1k writes/s
Partition 3≤1k writes/s
GSIcustomer·date
S3 · Athenavia Firehose
DDB Streamschange feed
OpenSearchvia Lambda
Normal operation
One partition runs hot
Everything is healthy. Press play — or step through — to see how the setup handles it.
$ watching… all systems healthy
What's included
- Access-pattern analysis + data model (single-table DynamoDB / MongoDB schema)
- Capacity & cost design — on-demand vs provisioned, autoscaling, TTL
- Indexes (GSIs/LSIs or MongoDB compound), Streams / change-data-capture
- Backups, point-in-time recovery and migration plan from relational where it makes sense
- Security review — IAM/role scoping, encryption, network isolation, Atlas hardening
- Performance & cost optimization, ongoing maintenance
- Optional managed retainer
We protect your data.
Encryption at rest & in transitLeast-privilege IAMAutomated backups, tested restoresAudit logging & monitoring
Let's talk
Let our experts run your data layer.
A free call — we'll review your setup and flag the quick wins, hire us or not.