Managed database

MongoDB with an operating model

Assistance operates MongoDB clusters for teams that need document flexibility without taking on replica set, backup, upgrade, monitoring, and scaling responsibility alone.

Replica sets and sharding by design. Backup/recovery targets scoped per plan. Critical response available for covered production clusters.

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Document database operations

We run MongoDB runtime operations: provisioning, replica sets, backups, upgrades, monitoring, and incident response.

Scale when the model requires it

Sharding, indexes, retention, and capacity are planned around workload growth instead of added reactively.

Clear data ownership

Assistance owns the managed platform boundary; your team owns schema choices, document shape, and application data behavior.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefBest-fit use casesWhat Assistance operatesOwnership boundaryDeployment options

Managed MongoDB is a supporting infrastructure add-on for applications that need flexible document storage but still require disciplined production operations. Assistance provides the operating layer for MongoDB inside an agreed consulting or services boundary while your engineers keep product and data model ownership.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

Best-fit use cases

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Use case	Why MongoDB fits
Product catalogs and content	Flexible document model for variable attributes and evolving content structures
Mobile and API backends	JSON-native storage pattern that maps well to application payloads
Event and activity records	High write throughput and flexible indexing for semi-structured data
Customer profile data	Nested structures and partial updates for user-centric records
Modernization of self-hosted MongoDB	Improve backup, monitoring, security, and upgrade discipline without changing the data model first

Operating modelSection 02

What Assistance operates

Responsibilities, response paths, and technical changes are made explicit before work starts.

Area	Included managed service responsibility
Provisioning	Cluster setup, replica set or sharded topology, storage sizing, network placement, and secure defaults
Reliability	Replica set health, failover procedures, backup schedules, retention policy, restore process, and runbooks
Scaling	Capacity review, shard planning when needed, balancing oversight, index and storage growth monitoring
Maintenance	Version lifecycle guidance, patch planning, maintenance windows, and upgrade execution inside agreed scope
Security	TLS, encryption options, RBAC recommendations, network isolation, audit logging options, and credential rotation support
Observability	Dashboards and alerts for replica health, storage, connections, operations, index usage, and backup status
Support	Severity-based support, escalation path, and platform incident communication

Assistance operates the MongoDB platform. Your team owns document design, validation rules, index requirements introduced by application changes, and business data correctness. We can review and advise, but the product data model remains customer-owned unless scoped separately.

OutcomeSection 03

Ownership boundary

Expected changes are framed as practical operating improvements, not unsupported guarantees.

Responsibility	Assistance owns	Customer owns
MongoDB runtime	Install, configure, monitor, patch, back up, restore, and operate clusters	Application compatibility and client behavior
Collections and indexes	Operational review, index health visibility, and recommendations	Collection design, required indexes, query patterns, data validation
Scaling	Topology recommendations and managed scale actions	Product decisions that increase data volume, retention, or write/read behavior
Data protection	Implement backup and restore process	Retention rules, legal requirements, data classification, recovery acceptance
Access	Role model guidance, service accounts, rotation procedure	User approval, identity source, application secret handling

EvidenceSection 04

Deployment options

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Option	When to choose it
Assistance physical servers	Development, test, staging, and predictable internal document workloads
Customer cloud account	Production clusters that must sit near application services or inside existing account controls
Managed cloud service operations	Assistance operates cloud-native MongoDB-compatible or hosted MongoDB services where that is the preferred deployment path
Hybrid	Development on Assistance infrastructure with production in a cloud region

Operating modelSection 05

Reliability and recovery model

Responsibilities, response paths, and technical changes are made explicit before work starts.

Topic	Managed MongoDB approach
Availability	Replica set or sharded cluster topology selected based on production requirements
Backups	Automated backups with retention and point-in-time recovery targets where supported and scoped
Restore validation	Restore tests or evidence checks for covered production environments
Scaling	Capacity and shard planning based on data growth, query patterns, and retention
Response	Severity-based support targets; critical response available for covered production clusters

OutcomeSection 06

Onboarding

Expected changes are framed as practical operating improvements, not unsupported guarantees.

Assessment step

1. Workload assessment

We review collection sizes, document growth, query patterns, indexes, write rate, retention, backup posture, current topology, downtime tolerance, and compliance requirements.

Operating step

2. Managed cluster design

Assistance proposes replica set or sharded topology, storage sizing, backup policy, monitoring, access model, maintenance windows, and migration plan.

What changes

3. Build and migration

We provision the cluster and support data migration through dump/restore, replication-based migration, or staged cutover depending on size and downtime tolerance.

What changes

4. Operate and tune

After go-live, we monitor replica health, storage growth, index efficiency, backup status, and capacity. Changes are coordinated through the agreed support model.

ScopeSection 07

Supported capabilities

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

MongoDB replica sets for high availability
Sharded clusters for larger datasets and write/read scaling needs
Index usage and query performance review
Backup retention and restore workflows scoped by plan
TLS, RBAC, and network isolation patterns
Migration from self-hosted or hosted MongoDB environments

ScopeSection 08

Not included by default

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

Redesigning document schema or application data model
Rewriting application queries or ODM behavior
Unlimited shard count, storage, or retention outside the plan
Guaranteeing performance for unreviewed index or query changes
Compliance certification beyond the managed infrastructure scope

Next stepSection 09

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Managed OpenSearch — Add search and analytics over document data
Managed Prometheus — Monitor service health and application metrics
Managed Kafka — Stream events into or out of MongoDB-based systems
Managed Certificates — TLS and certificate hygiene for database connections

Next stepSection 10

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Request a MongoDB assessment. We will inspect workload shape, data growth, topology, ownership boundaries, and migration options before recommending a managed cluster design. Request MongoDB assessment →

Next stepSection 11

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Do we need sharding from day one? Not always. We review dataset size, write rate, query patterns, and growth expectations before recommending sharding. Replica sets are simpler and often enough for earlier production stages.

Can you migrate from self-hosted MongoDB? Yes. Migration approach depends on version compatibility, data volume, downtime tolerance, and whether replication-based cutover is feasible.

Who owns index design? Your team owns indexes required by application queries. Assistance monitors index health and can recommend changes, but application query behavior remains customer-owned.

Can MongoDB run on Assistance physical servers? Yes, especially for development, staging, and predictable internal workloads. Production placement depends on compliance, latency, and availability needs.

What SLA applies? Availability and response targets are defined per service tier and topology. We scope measurement, exclusions, recovery objectives, and responsibilities before production go-live.

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Small

€450€/month

Single replica set for development or moderate workloads.

Single replica set (3 nodes)
Daily automated backups
Monitoring & alerting
SSL/TLS encryption
Sharded cluster

Medium

€900€/month

Production replica set with enhanced resources.

Enhanced replica set
Daily backups, 30-day retention
Full monitoring stack
SSL/TLS encryption
Sharded cluster

Sharded Cluster

€1.800€/month

Horizontally scalable sharded deployment.

Sharded cluster architecture
Continuous backups
Advanced monitoring & alerting
SSL/TLS + encryption at rest
Horizontal scaling

Pricing calculator

Select the services you need to estimate your monthly cost.

Estimated monthly total

0 €/mo

Does not include server infrastructure costs (compute, storage, egress).

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MongoDB with an operating model

Document database operations

Scale when the model requires it

Clear data ownership

From problem to operating evidence

Best-fit use cases

What Assistance operates

Ownership boundary

Deployment options

Reliability and recovery model

Onboarding

1. Workload assessment

2. Managed cluster design

3. Build and migration

4. Operate and tune

Supported capabilities

Not included by default

Getting started

Frequently asked questions

Ready to get started?

Pricing

Small

Medium

Sharded Cluster

Pricing calculator

Databases

Observability & Ops

Need a clearer path for Managed MongoDB?

MongoDB with an operating model

Document database operations

Scale when the model requires it

Clear data ownership

From problem to operating evidence

Best-fit use cases

What Assistance operates

Ownership boundary

Deployment options

Reliability and recovery model

Onboarding

1. Workload assessment

2. Managed cluster design

3. Build and migration

4. Operate and tune

Supported capabilities

Not included by default

Related add-ons

Getting started

Frequently asked questions

Ready to get started?

Pricing

Small

Medium

Sharded Cluster

Pricing calculator

Databases

Observability & Ops

Need a clearer path for Managed MongoDB?