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Turnkey design, development and migration to a microservices architecture

We split cumbersome slow monoliths into autonomous, easily scalable microservices according to the Domain-Driven Design (DDD) methodology. We organize event-oriented communication (Event-Driven) through brokers RabbitMQ/Kafka, high-speed connection via gRPC, automatic routing via API Gateway, and independent releases for different development teams.

✓ Isolation of failures: the failure of one secondary microservice will never stop the operation of the entire platform
✓ Independent fast releases: teams deploy updates for each service separately within 5 minutes without conflicts
✓ Flexible point scaling: adding resources only to those components that are under peak load
✓ Event-driven stack (EDA): asynchronous message queues RabbitMQ / Apache Kafka and gRPC protocol
Domain-Driven Design (DDD) Event-Driven Architecture (EDA) RabbitMQ & Apache Kafka gRPC & Protocol Buffers API Gateway & Kong
Get migration plan
Formats and pricing
ALL IT • SERVICE SPEC
SLA 99.9%
[ Technological IT Solutions ] WARRANTY UNDER AGREEMENT
Map of distributed service network

18 microservices • 100% availability • 1.2M events/min • gRPC latency: 3.2ms • RabbitMQ 0 queues

⏱ Start: 1–3 days 🛡️ NDA: 100% SLA Warranty
🧩
18 Services
DDD Decomposition
⚡
3.2ms gRPC
High-speed protocol
📨
Event-Driven
Kafka / RabbitMQ
🛡️
Fault-Tolerant
Isolation of Failures
✓ Official contract with fixed cost of work
✓ 100% transfer of rights to code and configuration to the customer
✓ Assigned leading engineer and support 90 days
FULL TRANSFER OF RIGHTS CONTRACT + WARRANTY
[ ARCHITECTURAL FLEXIBILITY ]

When business growth hits the limits of monolithic code

Microservices transform a heavy, inflexible system into a flexible constructor with unlimited scalability

[ 01 ]

Parallel work of multiple teams

5–10 development teams work on their microservices in their own repositories, not blocking each other during code merging.

[ 02 ]

Business Continuity (99.99% Uptime)

If the email delivery service is down due to a provider failure, order placement, catalog and payment continue to function in normal mode.

[ 03 ]

Rational server cost

Instead of renting expensive giant servers for the entire monolith you scale only the catalog or search service at peak demand.

[ 04 ]

Freedom to choose technology stack

Each microservice can be written in the language where it is most effective: Go — for microsecond API, Python — for AI, PHP — for logic.

Work plan for decomposition

What is included in the design and implementation of microservices architecture

Comprehensive engineering transition without interrupting the current commercial product

[ STEP 01 ] DDD

Domain-Driven Design (DDD) and Context Identification

We conduct Event Storming sessions, identify bounded contexts (Bounded Contexts) and responsibilities boundaries of each microservice.

[ STEP 02 ] Gateway

Design of a single API Gateway (KrakenD / Kong)

We configure a centralized entry point for clients: request routing, data aggregation, JWT authentication, and Rate Limiting.

[ STEP 03 ] Event Bus

Implementation of event broker (Event Bus Kafka/RabbitMQ)

We create a reliable event-oriented bus for asynchronous communication between services with a guarantee of message delivery (At-Least-Once).

[ STEP 04 ] gRPC

High-speed internal calls through gRPC

We describe contracts using Protocol Buffers (.proto) for binary data serialization with speed 7–10 times higher than REST.

[ STEP 05 ] Saga

Distributed transactions (Saga Pattern)

We implement the Saga pattern (Orchestration or Choreography) to ensure data consistency and compensating actions in case of failures.

[ STEP 06 ] Tracing

Distributed tracing and monitoring (Jaeger / Tempo)

We implement end-to-end tracking of each user request (Trace ID) through all services for immediate search of slow locations.

[ Tariff Plans ]

Transition Formats to Microservices Architecture

From step-by-step separation of the first service to a fully scaled distributed platform

Safe start with no risks for the existing business

Strangler Fig Pilot Service

Separation of the first high-load or critical module from the monolith (Strangler Fig pattern) without stopping the main site.

Development time: from 4–6 weeks
Work Scope:
✓ DDD analysis and identification of the first candidate for allocation
✓ Development of a dedicated microservice in Go or PHP 8.3
✓ Connection of RabbitMQ broker for synchronization with monolith
✓ Configuration of Nginx/Traefik load balancer for proxying
✓ End-to-end logging and monitoring of communication operations
✓ 30 Days of Technical Support
Choose the 'Strangler Pilot' tariff
Best for scalable e-commerce and SaaS projects ★ Popular

Complete Microservices Core

Full decomposition of the system into 4–8 independent services, deployment of API Gateway, Kafka bus and Saga pattern.

Development time: from 10–14 weeks
Work Scope:
✓ Everything that is included in the package 'Strangler Pilot'
✓ System decomposition into 4–8 autonomous microservices
✓ Deployment of corporate API Gateway (Kong / KrakenD)
✓ Internal microservices network based on high-speed gRPC
✓ Implementation of distributed transactions using the Saga pattern
✓ 60 days of full warranty support
Choose 'Complete Core'
For banks, payment systems and hundreds of microservices

Enterprise Distributed Mesh

Corporate service networking: Service Mesh (Istio), mTLS encryption of traffic between pods, a Kafka HA broker, and K8s autoscaling.

Development time: from 16–22 weeks
Work Scope:
✓ Everything that is included in the package 'Complete Microservices Core'
✓ Deployment of a fault-tolerant Apache Kafka cluster (HA)
✓ Service Mesh (Istio / Linkerd) with mutual mTLS encryption
✓ Distributed tracing of each request OpenTelemetry / Jaeger
✓ Automated Canary & Blue-Green Releases in Kubernetes
✓ Dedicated team of architects and lifetime guarantee
Choose «Enterprise Mesh»
← Swipe options →
[ COST CALCULATOR ]

Calculate the cost of developing a microservices architecture

Choose the current state of the codebase and the expected number of microservices

1. Initial state of your system: Select Variant

2. Estimated Number of Microservices: Select Variant

3. Desired transport for inter-service communication: Select Variant

CHOOSEN PARAMETERS OF THE SOLUTION:
⏱ Estimated Timeline: Calculation... 👥 Team: 2–3 engineers
1. Initial state of your system: Active monolithic system that needs to be smoothly decomposed
2. Estimated Number of Microservices: Up to 3–4 services (Pilot transition)
3. Desired transport for inter-service communication: RabbitMQ (Queues) + REST API
✓ Parameters will be fixed in the application form
Get an exact quote
[ STAGES OF COOPERATION ]

How the project is delivered

Transparent process from first contact to final release on your domain.

01
1–2 weeks

Event Storming and domain modeling

We analyze the company's business processes together with your leads and define the boundaries of service responsibilities.

02
2 weeks

Contract Design and Gateway

Create specifications Proto/OpenAPI, configure the central API Gateway entrance point and queues

03
4–6 Weeks

Development and allocation of services

We write independent microservices with their own databases, isolate logic and configure gRPC/Event Bus.

04
2 weeks

Implementation of Saga and observability

We configure Saga compensation transactions, distributed request tracing and latency monitoring.

05
1–2 weeks

Smooth traffic switching (Canary)

Gradually transferring real traffic percentage by percentage, controlling the absence of errors.

Our Clients

Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions

TOV Zagin Alpha
Partner Case 6
Wizeclub
DIM Service
Partner Case 11
Valikhnovski Surgery Institute
Meregi Group
Partner Enterprise
Partner Case 5
TOV Zagin Alpha
Partner Case 6
Wizeclub
DIM Service
Partner Case 11
Valikhnovski Surgery Institute
Meregi Group
Partner Enterprise
Partner Case 5
[ FREQUENT QUESTIONS ]

Answers to common questions from customers

Key details regarding terms, independent website editing, and rights transfer.

Yes, this is a fundamental rule of real microservices architecture. If all microservices connect to a single shared database, you end up with so-called "distributed monolith", where a change in the structure of one table breaks other services. Isolated databases guarantee full independence of teams and deployments.

In microservices, the concept of eventual consistency (Eventual Consistency) and the Saga pattern are used. If one of the steps in a complex process (for example, withdrawal of funds) fails, the system automatically sends compensating events back along the chain (for example, returns the booked item back to the warehouse).

The gRPC protocol from Google operates over modern HTTP/2 with persistent open connections (Multiplexing) and transmits data in Protocol Buffers binary format. It does not spend time parsing heavy text JSON strings, which reduces latency between internal services in 5–10 times.

If your project is on the early startup stage (MVP), where the business model changes every week, or if only 1–3 developers are working on the code, microservices will bring unnecessary complexity (DevOps overhead). In such a case, a high-quality modular monolith is a significantly cheaper and more efficient solution.

The Strangler Fig pattern involves gradually "wrapping" the old monolith. We are not rewriting everything from scratch over years (which often leads to startup failures), but instead sequentially extracting individual functions into microservices (for example, first the notification system, then the cart, then the catalog), gradually replacing the old code without risk of business interruption.

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Your monolith has become too slow and heavy for development?

Describe your current stack and pain points. Our lead architect will conduct a decomposition session and propose a step-by-step migration plan within 24 hours.

Confidentiality

Official NDA contract for system audit

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