Cosmos DB & NoSQL Architecture

Design and deliver scalable NoSQL platforms with Azure Cosmos DB - optimised for performance, resilience, and predictable cost across critical workloads.

NoSQL platforms are often selected to support high-scale, low-latency applications where traditional relational designs become difficult to scale or overly complex. Azure Cosmos DB is a globally distributed, multi-model database service designed for applications that demand elastic throughput and high availability. The common failure mode is treating Cosmos DB as “just another database” and skipping the architectural decisions that control long-term outcomes - partition design, consistency choices, indexing policy, throughput governance, and cost management. When those decisions are wrong, teams experience hot partitions, unpredictable latency, and RU consumption that is difficult to forecast.

LW IT Solutions delivers Cosmos DB & NoSQL Architecture as a structured engagement that aligns your workload requirements to Cosmos DB capabilities. We help you select an API model and data design that fits your access patterns, define partition and indexing strategies that scale, and design resilience aligned to business objectives. You receive an implementable architecture pack plus a pilot configuration and validation approach so your organisation can deploy Cosmos DB confidently with governance for cost, security, and ongoing change.

Talk through your requirements and leave with a clear next-step plan.

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Service Overview

Highlights

Focused on Cosmos DB data modelling and partition strategy, not generic database setup
Explicit treatment of consistency, replication, and availability trade-offs
Throughput and RU governance built into the design
Aligned to real application access patterns and query behaviour
Designed for long-term operability rather than short-term proof-of-concept

Business Benefits

Predictable application performance through deliberate partition and indexing design
Reduced cost volatility by aligning throughput and autoscale decisions to real usage patterns
Improved resilience by matching consistency and replication to business availability needs
Lower engineering rework by selecting the right Cosmos DB API model up front
Clear operational ownership with defined monitoring, limits, and change controls

Typical use cases

High-scale web or mobile applications with global users
Event-driven or IoT platforms with variable ingestion rates
Multi-tenant SaaS platforms requiring predictable isolation
Modernisation from MongoDB or other NoSQL databases to Cosmos DB
Applications struggling with latency or cost unpredictability in existing Cosmos DB deployments

Objectives & deliverables

What Success Looks Like

Select the appropriate Cosmos DB API model for your application and team capabilities
Achieve predictable performance through correct partitioning, indexing, and query patterns
Align consistency and replication to business continuity objectives (availability, RPO/RTO)
Control cost through throughput strategy, autoscale decisions, and RU governance
Deliver a supportable operational model with monitoring, runbooks, and change controls

What You Get

Architecture pack: API choice, partitioning, consistency, replication, and security decisions
Throughput and cost governance model (RU strategy, alerts, and operating limits)
Indexing/query guidance aligned to your core access patterns
Pilot configuration within agreed scope with validation evidence and recommendations
Operational handover: runbooks, monitoring guidance, and a scale-out plan

How It Works

Discovery - review workload requirements, access patterns, data volumes, and non-functional constraints
Design - define API model, data model, partition keys, indexing policy, consistency level, and replication strategy
Cost and throughput planning - model RU consumption, autoscale options, and governance thresholds
Pilot and validation - implement a scoped Cosmos DB configuration and validate performance and cost assumptions
Handover - deliver architecture decisions, runbooks, monitoring guidance, and next-phase recommendations

Engagement Options

Architecture Only - design and decision pack without implementation
Architecture + Pilot - design plus a validated Cosmos DB pilot configuration
Migration Advisory - architecture and guidance for moving from existing NoSQL or relational platforms
Operate - ongoing review of performance, cost, and scaling behaviour

Common Bundles

Customers who use this service often bundle with these services

API & System Integrations
Design and implement API integrations connecting business systems with secure authentication, retries, logging, and supportable middleware patterns operations.

Backend API Development (FastAPI/Node)
Design and build backend APIs with clear contracts, secure authentication, observability, and cloud-ready deployment using FastAPI or Node.js.

Azure Landing Zones (CAF-aligned)
Build a secure, scalable Azure foundation using CAF-aligned landing zones with clear governance, identity, networking, and management baselines.

Azure Network Architecture (Hub/Spoke, DNS, Private Link)
Azure network architecture services covering hub and spoke design, DNS, routing and Private Link to support secure, scalable connectivity.

Data Security Assessment (Purview-led)
Purview-led assessment identifies data risk, validates protection controls, and produces a prioritised roadmap across labels, DLP, and investigations.

Secure Score Assessment & Remediation
Baseline Microsoft Secure Score, prioritise improvement actions, and deliver a staged remediation backlog that drives measurable security posture uplift.

ETL/ELT Pipeline Design & Delivery
Design and deliver reliable ETL and ELT pipelines with batch and event-driven ingestion, monitoring, and cost-aware performance tuning.