Microservices architecture — scalable distributed systems
Architecture & Development

Product Development Built on Microservices Architecture

The microservices approach is a model for building high-load systems and products with flexible business logic. Each microservice performs one small, atomic task and connects to the rest through process orchestration. Microservices can be written in different languages and scaled or refactored independently of the rest of the system.

100%

Test Coverage

Independent

Scaling

Transparency

For the Business

THE MICROSERVICES APPROACH

Microservices vs. the Modular Approach

Heavy Development Load

The more custom code you have, the harder regression and feature management become. A BPM system plus development with full test coverage keeps your time-to-value at a minimum.

Business Visibility Into the Logic

Business analysts can create or change logic with complex events (timers, exceptions, decision tables) on their own, without help from developers.

High-Load Projects

Unlike modular systems, a microservices solution can be scaled atomically — right down to individual microservices.

Why AWDS

Why Engineering Teams Trust AWDS With Microservices

40+

Distributed systems delivered

Battle-Tested Across Real Production Load

We've decomposed monoliths for fintech, logistics, retail, and SaaS platforms — systems handling everything from seasonal 10x traffic spikes to strict transactional consistency. Our architects design service boundaries around business domains, not org charts, so every service has one clear owner and one clear job.

Teams that migrated with us through their first peak season saw zero downtime while legacy competitors throttled traffic. We don't chase framework trends — we build orchestration foundations that survive team turnover and traffic growth alike.

Senior Platform Engineers — One Team for the Whole Project

Our team includes distributed-systems architects, BPMN process designers, SRE specialists, and test automation engineers. One team owns your architecture from design to operations: every service contract, every pipeline and every runbook is written by the engineers accountable for the system.

This matters for long-lived systems: you get consistent engineering standards, direct communication with the people writing the code, and institutional knowledge that accumulates over multi-year engagements. No mid-project handoffs.

100%

Automated test coverage on delivery

12mo

Warranty period

12-Month Warranty on Every Service We Ship

If a service we implement breaks — a failing contract, a broken saga rollback, an orchestration deadlock — we fix it free for 12 months post-launch. This isn't a maintenance retainer — it's a quality guarantee backed by full regression suites.

Most agencies disappear after project delivery. We stay accountable. Our warranty covers engineering defects, not new feature requests or third-party outages. It's proof we build microservices infrastructure that lasts.

Guarantees

Why Clients Trust Us

Concrete commitments we honour on every single project.

You Own All Source Files

Full code and files handed over — zero lock-in

2 Revision Rounds per Stage

Revisions within the agreed scope at no extra cost

NDA & Confidentiality

We sign an NDA — your data stays protected

30 Days of Support

Post-launch technical support included

Staged Payment

Pay per delivered stage — a stage not delivered as agreed is refunded

The Microservices Development Process

01

Requirements Analysis

Defining microservice boundaries and responsibilities based on your business requirements.

02

Architecture Design

Building BPMN diagrams and defining the integration points between services.

03

Development & Testing

Building microservices with TDD (Test-Driven Development) and continuous integration.

04

Deployment & Monitoring

Independent service deployment and monitoring set up with unified logging.

Our Approach

Microservices Built on Domain Analysis, Not Guesswork

Microservices require a different playbook than modular refactoring. Your system likely has tangled business logic, shared databases, implicit integrations, and years of accumulated shortcuts. A single wrongly drawn service boundary can multiply latency and cost for years. Our methodology starts with a complete domain audit — we map every business capability, identify coupling hot spots, and prioritize decomposition by impact.

Next, we design explicit service contracts for every boundary. We don't just split code — we define inputs, outputs, failure modes, and ownership for each service. This reveals where orchestration beats choreography and where a shared workflow engine saves months of glue code. We map a phased migration roadmap with realistic timelines based on team size, traffic profile, and risk tolerance.

Delivery comes third. We build each service test-first — contract tests, integration tests, and load tests run in continuous integration from day one. Business processes are modeled as BPMN diagrams that analysts can read and change, so the logic stays visible to the business, not buried in code.

Finally, we wire in observability from the start. Unified structured logging, distributed tracing, and per-service dashboards mean every incident has a clear cause within minutes — no archaeology through mismatched log formats or manual correlation.

Last updated: 2026

6-10

Weeks to your first production-ready service extracted from the monolith

Unique Insight

Most teams split services by technical layers. We split by business capability ownership — each service maps to one process an analyst can point to. This cuts cross-service chatter and keeps every deploy independent.

Comparison

Monolith vs. Scalable Modules: When to Choose Which

Microservices aren't a silver bullet. For a startup with 3 developers, a monolith may be the right call. Here's an honest comparison.

Criterion Monolith Microservices
Time to Launch Fast MVP in 4-6 weeks 8-12 weeks for infrastructure + MVP
Scaling Vertical (×3 more expensive at every step) Horizontal: scale only the service under load
Deployment The whole project at once, with downtime Each service independently, zero-downtime
Team 1-5 developers, easier coordination 5+ developers, DevOps required
Common Questions

Frequently Asked Questions

Honest answers about how we work, what it costs, and what you can expect

When the project grows faster than a classic system can keep up: different departments ship features at different speeds, load across modules is uneven, and one update shouldn't take down the whole platform. For a startup with 3 developers, it's early. For a business with 50,000+ users and multiple teams, it's exactly the right time.
Step by step, with no business interruption. We carve out the most problematic module → move it into its own service → stabilize it → move on to the next. The current system keeps running until it's fully replaced. No months-long shutdown.
Independent scaling of each module → up to 70% savings on infrastructure. Zero-downtime updates → no lost revenue. Different teams work in parallel → time-to-market for new features drops 3-5×.
−70%
scaling cost
Extracting a single service from an existing system: from $15,000. Designing an architecture from scratch: from $10,000. A full platform of 5+ services: from $100,000. A free assessment of your project — within 48 hours.
from $15K
one service
At the start — 20-30% more. But as load grows, you scale only the modules under pressure instead of the entire system. For a growing business, it pays off over a classic approach within 6-12 months.
We recommend one. Microservices infrastructure requires specialized expertise. We set everything up, train your team, and can take on support ourselves — or hand it off.
Every service is autonomous: a failure in one module doesn't bring the system down. Automatic recovery, real-time health checks, and graceful handling of partial failures. Up to 99.9% uptime SLA.
99.9%
uptime SLA
A single monitoring system shows every request's path across all services. Centralized logs and metrics. Issues are detected and pinpointed in minutes, not hours.
Blog

Useful Articles

ARCHITECTURE BUILT FOR GROWTH

Your business grows 10×. Will the system hold?

Most systems break when they scale. Ours are engineered for 10× growth from day one.

×10
Headroom

Architecture with 10× headroom. When competitors hit the ceiling, you simply add capacity.

0 downtime
During Updates

Updates with zero downtime. Users never notice a deploy — the system runs nonstop, like a heartbeat.

−70%
Scaling Cost

The right architecture scales horizontally. Adding resources is a linear cost, not an exponential one.

Real Results

Global Companies That Won With Microservices

The world's largest digital platforms moved to a microservices architecture — and it transformed their business.

Amazon
E-commerce · Marketplace

When Amazon ran on a monolithic server, handling heavy load was hard — especially during peak sales. The company lost revenue while server capacity sat idle.

Moving to a microservices architecture (AWS) let it scale on demand, cut downtime, and lower costs.

11.7 sec
code deploy frequency
×100
load growth with zero outages
Netflix
Streaming · Entertainment

On a monolithic architecture, Netflix suffered constant outages under heavy load. In 2009, the company began its move to cloud microservices.

The result: engineers deploy code thousands of times a day, and the platform serves millions of users worldwide without interruption.

1000+
deploys per day
0 downtime
while scaling
An Honest Take

Is it still too early to move your project to microservices?

Microservices aren't always the right choice. We'll give you an honest assessment of which architecture your business actually needs.

When You Need Microservices

  • A team of 5+ developers with different specializations
  • The system must handle peak load (×10 above average)
  • You need to update parts of the system without stopping the whole project
  • Complex business processes that require visualization and control

When a Modular Architecture Is Enough

  • A startup or MVP with a team of 1-3 people
  • Stable load with no sudden peaks
  • Limited budget — a monolith is cheaper to start with
  • Simple business logic without complex integrations

Start with a modular architecture — and migrate to microservices once the business grows into it. We design modular systems with "clean seams" so the transition is painless and gradual.

Get an Architecture Assessment
ENTERPRISE SOLUTIONS

Ready-Made Solutions for Your Business

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Ready for a Microservices Architecture?

Your competitors aren't waiting. Tell us about your project — we'll prepare a free assessment within 48 hours.

30 minutes · No obligations · Reply within 2 hours

48 h

for a free assessment

Fixed price

no surprises

12 mo.

warranty on work

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Testimonials

What Our Clients Say

Real feedback from the companies we have worked with

5.0
★★★★★
4 reviews

4.8

Quality

4.8

Communication

4.3

Timeliness

4.8

Value

Quality 5
Communication 5
Timeliness 4
Value 5
Our monolith made every release a white-knuckle event. AWDS re-architected the platform into services we can deploy independently — zero-downtime updates are now routine. Our release frequency went from monthly to daily without the drama.
Julian Reyes

Julian Reyes

VP of Engineering, Streamvault Media

Quality 5
Communication 4
Timeliness 5
Value 5
Independent scaling was the whole reason we moved to microservices, and they delivered it properly. During our last spike we scaled just the payment service instead of the entire app. Infrastructure cost dropped while reliability went up.
Hana Kowalczyk

Hana Kowalczyk

CTO, Ledgerline Fintech

Quality 4
Communication 5
Timeliness 4
Value 5
What I appreciated was that they didn't over-engineer it. They split the services along real business boundaries, so ownership is clear and teams stopped stepping on each other. Onboarding new engineers got dramatically easier.
Dominic Ashby

Dominic Ashby

Head of Platform, Cartwheel Marketplace

Quality 5
Communication 5
Timeliness 4
Value 4
The transparency into each service — proper monitoring, tracing, clear contracts — means we catch issues before customers do. A migration this size could have been a disaster; instead it was staged, tested, and boring in the best way.
Aditi Raghunathan

Aditi Raghunathan

Director of Engineering, Novabank Digital

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