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ARRAYMATIC

ArrayMatic Technologies

B-23, B Block, Sector 63, Noida, Uttar Pradesh 201301

[email protected]

+91-9555505981

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HomeServicesConsultingSystem Architecture Design

Consulting

System Architecture Design

System architecture design for complex platforms — documented, decision-logged blueprints that teams can build against with confidence, not informal whiteboard sessions.

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What it is

System architecture design is the process of defining the high-level structure of a software system: how components are decomposed, how they communicate, where data is stored and accessed, how the system scales, and what trade-offs have been accepted — before implementation begins.

What you get

  • Architecture Decision Records (ADR) for all significant choices
  • Component, sequence, and data flow diagrams
  • Data model design with access pattern analysis

Architecture decisions made once, lived with for years

Architecture decisions have long time horizons. A choice made in week one — monolith vs. microservices, synchronous vs. event-driven, relational vs. document store — will shape how the system evolves for years. Making these decisions based on current team size, not projected scale, based on what is familiar rather than what fits the problem, produces systems that are expensive to change.

We facilitate structured architecture design sessions that surface requirements, constraints, and trade-offs explicitly. Each significant decision is documented in an Architecture Decision Record (ADR): the context, the options considered, the decision made, and the reasoning. Future team members can understand why the system is the way it is, rather than working around decisions they do not understand.

Architecture deliverables include: component and sequence diagrams for the core flows, data model design with entity relationships and access patterns, API contract definitions, infrastructure topology, and a risk register covering the identified trade-offs and the conditions under which they would need to be revisited.

Key capabilities

What we build for you

Each engagement is scoped to your requirements — these are the core capabilities we bring to the table.

API contract definition (OpenAPI, AsyncAPI)

Infrastructure topology and deployment architecture

Scalability, reliability, and security architecture review

Non-functional requirement definition (latency, availability, RPO/RTO)

Architecture risk register with mitigation options

Our process

Discovery to deployment

A structured, engineering-led approach that moves from understanding your goals to a production system — with no handoff surprises.

Typical engagement

8–16 WEEKS

01

Discovery

We map your goals, constraints, and existing infrastructure. Scope is defined and success criteria agreed before any development begins.

Requirements workshopTechnical audit
02

Architecture

We design the technical approach, select the right tools, and produce a milestone-driven delivery plan with no ambiguity.

Stack selectionDelivery plan
03

Build

Iterative development with regular demos. Code reviews, test coverage, and documentation happen in parallel — not at the end.

Sprint cadenceCode review
04

Deploy

Production release with monitoring setup and handover documentation. We stay close during the first weeks post-launch.

CI/CD pipelinePost-launch support

Detailed enough to answer the questions that will otherwise cause expensive mid-sprint decisions: how services communicate, where the system boundary is, how data is owned, and what the deployment model is. Not so detailed that it becomes stale before anyone reads it. We use C4 model notation and ADRs to capture decisions at the right level of abstraction.

Yes. We conduct architecture reviews against your current system, identifying coupling problems, scaling bottlenecks, observability gaps, and security risks. The output is a prioritised findings report with concrete refactoring recommendations, not a list of things that could theoretically be better.

Yes, and our first advice is usually to do it more slowly than planned. Strangler fig patterns, extracting services along domain boundaries, and maintaining the monolith as a deployment unit during the transition reduce the risk of a big-bang decomposition that leaves two incomplete systems in production simultaneously.

Work with us

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