Project Architecture

When we talk about system architecture, we mean its "skeleton" — the foundation that defines how it will evolve, scale, and handle the growing demands of users and business. It’s one of the key stages where stability, security, and economic efficiency are built in. Depending on the project goals, we apply either lightweight Laravel architectures or complex distributed systems built on Go and Kafka. Every decision is made with business objectives, team support, and future growth in mind.

How We Approach Architecture

We design architecture based on the client’s goals — not by following templates. Our focus is on:

Load and Scalability — we assess the system’s growth potential and design with capacity in mind.
Business Logic — we separate domains so each part of the system can evolve independently.
Technology Stack — we select tools that deliver real value for the specific use case.
DevOps and CI/CD — the architecture must support automated build, testing, and deployment processes.
Integrations and APIs — we design with secure and resilient data exchange in mind from the start.

GO PROJECTS ARCHITECTURE

Go projects architecture

Go is a powerful tool for building fast, isolated, and reliable services. We choose this stack when systems need to respond instantly, handle heavy loads, and scale effortlessly. This approach is ideal for real-time platforms, trading solutions, IoT, and financial systems. In this section, you’ll find the core practices we apply when designing Go-based architectures.

Nanoservices in Go

The Webdelo team uses nanoservices when systems need to scale quickly and isolate business logic. Each service is responsible for a single task. We use gRPC and Kafka for communication and protobuf for defining contracts. This approach simplifies maintenance, increases transparency, and reduces risks during updates — especially effective in real-time systems.

Microservice Architecture in Go

We build our microservices in structured layers: transport, application, domain, and infra. For configuration, we use Koanf and envconfig, while dependencies are managed through Uber FX. Each service supports graceful shutdown and health checks. This approach makes the system predictable, easy to maintain, and securely scalable.

Event-Driven Architecture in Go

We design our architecture around Kafka when real-time event processing is critical. We use producers, consumers, replay support, idempotency, and delayed queues to handle event flows efficiently. This enables fast, lossless, and non-blocking processing of signals, orders, and user actions. The model is easily extensible and adapts seamlessly to increasing workloads.

gRPC and REST API in Microservices

Inside the system, we use gRPC. Externally, we expose REST via grpc-gateway. Contracts are defined in protobuf, validations are automated, and version control is maintained. This approach provides strict typing, minimal overhead, and stable integration with front-end applications and external services.

Event Storage and Replay

To store event history, we use ClickHouse or MongoDB. This enables reprocessing, chain reconstruction, and auditing of actions. Our systems are designed with idempotency, deduplication, and deadlines in mind. This approach ensures full control and deep analytics over business processes.

Microservice Monitoring

Observability is an integral part of our architecture. We use Prometheus for metrics, Grafana for visualization, and OpenTelemetry for tracing. All data is collected centrally, allowing us to respond quickly to failures, identify bottlenecks, and keep the system fully under control.

Scalability and Fault Tolerance in Go

Our architecture is designed with failures and growth in mind. We implement circuit breakers, retries with backoff, timeouts, and deadlines. Each service is minimally dependent, fault-tolerant, and ready for horizontal scaling. This approach is especially critical for distributed systems and real-time platforms.

gRPC vs REST

According to tests conducted by SHIFT ASIA, gRPC shows a significant performance advantage over REST in data transmission speed. In one of the benchmarks, gRPC handled 141.30 requests per second, while REST managed only 22.9. This makes gRPC the preferred choice for high-load microservice systems where low latency and high throughput are critical.

SHIFT ASIA

LARAVEL PROJECT ARCHITECTURE

Laravel Project Architecture

Laravel is a clear and flexible tool we use for business projects where speed of launch, stability, and simple architecture are key. It’s perfectly suited for e-commerce, CRM, and any platforms where business logic evolves dynamically. We know how to make Laravel architecture both reliable and team-friendly — when to use the framework “out of the box” and when to extract logic into dedicated services. This approach allows us to respond faster to change, simplify maintenance, and scale the project easily as business needs grow.

Framework-Based Architecture

In projects where Laravel works well out of the box, we rely on classic patterns such as MVC, Form Requests, Policies, and a Service Layer. This approach provides readability, a fast start, and a clear structure. We use it in cases where the business logic is not yet complex and doesn’t require additional abstraction layers.

Service-oriented Laravel

As the project grows, we move business logic into dedicated services and use DTOs, repositories, and interfaces. This provides control, isolation, and transparency. The approach makes it easier to scale the team and simplify maintenance — all without overcomplicating the project with unnecessary DDD overhead.

Large-Scale Microservices in Laravel

Laravel isn’t limited to monolithic applications. We divide large systems into separate services — authentication, catalog, orders, logistics — each with its own responsibility area and API. This approach allows teams to scale independently and isolate risks during updates.

Laravel and Message Brokers

In projects with high internal activity, we integrate message brokers such as Redis and Kafka. We process queues, internal events, and notifications, using Laravel Horizon, Jobs, and Events — with configured retries, deadlines, and failure handling.

DDD in Laravel

When business logic becomes complex and requires strict decomposition, we apply elements of the Domain-Driven Design (DDD) approach — including value objects, aggregates, and entities. We structure projects into isolated modules with clearly defined bounded contexts. This approach is especially effective in e-commerce and systems with a large number of business rules.

Event-Driven and Laravel

We actively use Laravel’s built-in event system and integrate with Kafka or other brokers when needed. The event-driven architecture allows us to isolate processing, build reactive workflows, and scale the system without overcomplicating the core codebase.

Integration with Other Microservices

Laravel integrates seamlessly with external APIs — we work with REST, gRPC, WebSocket, and GraphQL, depending on project requirements. We build well-defined layers for external communication, separating adapters from business logic. This ensures stable integrations and ease of maintenance over time.

GENERAL ARCHITECTURAL APPROACHES

General Architectural Approaches

Some architectural solutions are language-agnostic — they bring order and consistency to any project. At Webdelo, we apply proven approaches such as Clean Architecture, CQRS, DDD, and event-driven models to clearly structure business logic, ensure scalability, and make systems intuitive for the team. These methods are especially valuable as projects evolve — when new modules appear, external services connect, and load increases. We implement them where they truly make sense — pragmatically, without dogma.

Clean Architecture

Our developers start with the core — the business logic. The architecture is designed so that the code is divided into clear layers: entities, use cases, and interfaces. This makes the system independent of the framework or database. Such an approach simplifies testing, defines clear boundaries of responsibility, and speeds up feature delivery. It’s especially effective for distributed teams working on large-scale projects.

Hexagonal Architecture

In our team, we clearly separate business logic from everything external. All infrastructure-related elements — APIs, databases, message brokers — are implemented through adapters. The core remains clean, stable, and easily testable. This provides the flexibility to change technologies without rewriting the core code. The approach proves especially effective in long-term, evolving systems.

Domain Driven Design (DDD)

When a project involves complex business rules, Webdelo architects apply the Domain-Driven Design (DDD) approach. We divide the system into domains, define entities, aggregates, and value objects. This helps us stay aligned with the client, bring clarity to business logic, and simplify maintenance. The approach structures the codebase and improves its overall readability and consistency.

CQRS + Event Sourcing

When working with systems where history tracking is essential, our engineers separate read and write models. All changes are stored as events, making it easier to perform analysis, debugging, and state recovery. This approach is commonly used in trading, logistics, and financial systems, where reliability and precision are critical. It increases system resilience and simplifies scalability.

Layered Architecture

We use the classic three-layer model: controllers, services, and repositories. It’s a familiar and efficient approach for most business projects. It provides a clear understanding of logic and structure and lowers the entry threshold for new developers. We often apply it in Laravel-based projects.

API-First Approach

The team designs the API from the very start. This allows us to stay aligned with the frontend, avoid unnecessary revisions, and define formats and contracts upfront. It’s especially valuable for systems with external integrations and mobile applications. The approach saves time, reduces risks, and ensures smoother collaboration across teams.

Scalability and Fault Tolerance

Our engineers design resilience into the architecture from the very beginning. We apply timeouts, retries, circuit breakers, and load balancing to ensure stability. Systems are built so that failures don’t cascade across components. This is critical for B2B, IoT, and real-time solutions.

Architecture for Real-Time Systems

In projects where response speed is critical, our developers build event-driven architectures. We use queues, pub/sub, push mechanisms, and WebSocket connections. This enables real-time data processing and ensures instant system response. The approach is especially effective for trading, logistics, and telemetry solutions.

Choosing the Right Architecture for the Task

The Webdelo team selects the architecture based on the specific goals, timeline, team composition, and business logic complexity. Sometimes the right choice is a simple monolith, and sometimes it’s a complex event-driven system. We always make it clear why a particular approach was chosen — every decision has a technical and business rationale behind it.

«As a project grows, the architecture either helps or hinders progress. We design systems so they can handle increased load, new modules, or even a team change without disruption. For us, it’s essential that the code is not just functional but also easy to evolve and comfortable to work with.»

Dmitri Cercel

Tech Lead

Conclusion

Every project requires a precise architectural solution. In some cases, speed is the priority; in others — load resilience, event control, or scalability. We design architecture consciously, based on goals, business processes, and the system’s long-term growth. We rely on proven approaches and technologies — but never tie ourselves to a single tool. Our goal is to create an architecture that’s easy to evolve, test, and maintain. If your goal is not just to “launch” a product but to build a reliable, well-structured system, we’re ready to design it with you.