Design scalable, maintainable software systems using modern architectural patterns. From microservices to event-driven architectures, we help teams build robust software solutions that grow with your business.
System architecture design with scalability, performance, and maintainability focus.
Microservices design, decomposition strategies, and service mesh implementation.
RESTful API design, GraphQL implementation, and API governance frameworks.
Event streaming, message queues, and asynchronous communication patterns.
System performance analysis, bottleneck identification, and optimization strategies.
Code architecture audits, technical debt assessment, and improvement recommendations.
Modern distributed system design with microservices patterns and containerization
Scalable event-driven architecture with message streaming and asynchronous processing
Traditional N-tier architecture with presentation, business logic, and data access layers.
Ports and adapters pattern for testable, maintainable applications with external dependency isolation.
Event sourcing for audit trails and CQRS for read/write separation and performance optimization.
Function-as-a-Service (FaaS) patterns with serverless computing and event triggers.
bounded_contexts:
user_management:
entities:
- User
- Profile
- Preferences
aggregates:
- UserAccount
domain_events:
- UserRegistered
- ProfileUpdated
order_management:
entities:
- Order
- OrderItem
- Payment
aggregates:
- OrderAggregate
domain_events:
- OrderPlaced
- OrderShipped
- PaymentProcessed
# Example: Service mesh configuration with Istio
apiVersion: networking.istio.io/v1alpha3
kind: VirtualService
metadata:
name: user-service
spec:
http:
- match:
- headers:
user-type:
exact: premium
route:
- destination:
host: user-service
subset: v2
- route:
- destination:
host: user-service
subset: v1
---
apiVersion: networking.istio.io/v1alpha3
kind: DestinationRule
metadata:
name: user-service
spec:
host: user-service
trafficPolicy:
circuitBreaker:
consecutiveErrors: 3
interval: 30s
baseEjectionTime: 30s
subsets:
- name: v1
labels:
version: v1
- name: v2
labels:
version: v2
interface Event {
id: string;
aggregateId: string;
eventType: string;
eventData: any;
timestamp: Date;
version: number;
}
class EventStore {
async saveEvents(aggregateId: string, events: Event[], expectedVersion: number): Promise<void> {
// Optimistic concurrency control
const currentVersion = await this.getLastVersion(aggregateId);
if (currentVersion !== expectedVersion) {
throw new ConcurrencyError('Version mismatch');
}
// Save events atomically
await this.persistEvents(events);
// Publish events to message bus
await this.publishEvents(events);
}
async getEvents(aggregateId: string, fromVersion: number = 0): Promise<Event[]> {
return await this.loadEvents(aggregateId, fromVersion);
}
}
class Aggregate {
private uncommittedEvents: Event[] = [];
protected addEvent(event: Event): void {
this.applyEvent(event);
this.uncommittedEvents.push(event);
}
getUncommittedEvents(): Event[] {
return this.uncommittedEvents;
}
markEventsAsCommitted(): void {
this.uncommittedEvents = [];
}
}
# Command side - Write operations
class CreateUserCommand:
def __init__(self, user_id: str, email: str, name: str):
self.user_id = user_id
self.email = email
self.name = name
class CreateUserCommandHandler:
def __init__(self, user_repository: UserRepository):
self.user_repository = user_repository
def handle(self, command: CreateUserCommand):
user = User.create(command.user_id, command.email, command.name)
self.user_repository.save(user)
# Publish domain events
events = user.get_uncommitted_events()
for event in events:
self.event_bus.publish(event)
# Query side - Read operations
class UserQuery:
def __init__(self, read_database):
self.db = read_database
def get_user_profile(self, user_id: str):
return self.db.query(
"SELECT * FROM user_profiles WHERE user_id = %s",
(user_id,)
)
def get_users_by_criteria(self, criteria: dict):
# Optimized read queries with denormalized data
pass
kafka_topics:
user_events:
partitions: 12
replication_factor: 3
configs:
retention.ms: 604800000 # 7 days
compression.type: lz4
order_events:
partitions: 24
replication_factor: 3
configs:
retention.ms: 2592000000 # 30 days
cleanup.policy: compact
consumer_groups:
user_profile_updater:
topics: [user_events]
processing_guarantee: exactly_once
order_analytics:
topics: [order_events]
processing_guarantee: at_least_once
api_design:
resources:
users:
endpoints:
- GET /api/v1/users
- GET /api/v1/users/{id}
- POST /api/v1/users
- PUT /api/v1/users/{id}
- DELETE /api/v1/users/{id}
relationships:
- GET /api/v1/users/{id}/orders
- GET /api/v1/users/{id}/profile
hypermedia_controls:
- self_links
- related_resources
- available_actions
versioning_strategy:
- header_based: "Accept: application/vnd.api.v1+json"
- url_based: "/api/v1/"
- parameter_based: "?version=1"
// Example: API Gateway with rate limiting and authentication
const express = require('express');
const httpProxy = require('http-proxy-middleware');
const rateLimit = require('express-rate-limit');
const jwt = require('jsonwebtoken');
const app = express();
// Rate limiting middleware
const limiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100 // limit each IP to 100 requests per windowMs
});
// Authentication middleware
const authenticate = (req, res, next) => {
const token = req.headers.authorization?.split(' ')[1];
if (!token) {
return res.status(401).json({ error: 'No token provided' });
}
try {
const decoded = jwt.verify(token, process.env.JWT_SECRET);
req.user = decoded;
next();
} catch (error) {
return res.status(401).json({ error: 'Invalid token' });
}
};
// Service routing
app.use('/api/users', limiter, authenticate, httpProxy({
target: 'http://user-service:3001',
changeOrigin: true,
pathRewrite: {
'^/api/users': '/users'
}
}));
app.use('/api/orders', limiter, authenticate, httpProxy({
target: 'http://order-service:3002',
changeOrigin: true,
pathRewrite: {
'^/api/orders': '/orders'
}
}));
type User {
id: ID!
email: String!
name: String!
profile: UserProfile
orders: [Order!]!
}
type UserProfile {
id: ID!
avatar: String
bio: String
preferences: UserPreferences
}
type Order {
id: ID!
userId: ID!
items: [OrderItem!]!
total: Float!
status: OrderStatus!
createdAt: DateTime!
}
type Query {
user(id: ID!): User
users(filter: UserFilter, pagination: Pagination): UserConnection
order(id: ID!): Order
}
type Mutation {
createUser(input: CreateUserInput!): User!
updateUserProfile(userId: ID!, input: UpdateProfileInput!): UserProfile!
createOrder(input: CreateOrderInput!): Order!
}
type Subscription {
orderStatusChanged(userId: ID!): Order!
userNotifications(userId: ID!): Notification!
}
class CachingService:
def __init__(self):
self.l1_cache = {} # In-memory cache
self.l2_cache = RedisClient() # Distributed cache
self.database = DatabaseClient()
async def get_user(self, user_id: str):
# L1 Cache check
if user_id in self.l1_cache:
return self.l1_cache[user_id]
# L2 Cache check
cached_user = await self.l2_cache.get(f"user:{user_id}")
if cached_user:
self.l1_cache[user_id] = cached_user
return cached_user
# Database query
user = await self.database.get_user(user_id)
if user:
# Cache in both levels
self.l1_cache[user_id] = user
await self.l2_cache.set(f"user:{user_id}", user, ttl=3600)
return user
# Cache invalidation strategy
class CacheInvalidation:
def __init__(self, cache_service, event_bus):
self.cache = cache_service
self.event_bus = event_bus
self.setup_event_handlers()
def setup_event_handlers(self):
self.event_bus.subscribe('UserUpdated', self.invalidate_user_cache)
self.event_bus.subscribe('OrderPlaced', self.invalidate_user_orders_cache)
async def invalidate_user_cache(self, event):
await self.cache.delete(f"user:{event.user_id}")
await self.cache.delete(f"user_orders:{event.user_id}")
-- Horizontal partitioning example
CREATE TABLE orders_2024_q1 PARTITION OF orders
FOR VALUES FROM ('2024-01-01') TO ('2024-04-01');
CREATE TABLE orders_2024_q2 PARTITION OF orders
FOR VALUES FROM ('2024-04-01') TO ('2024-07-01');
-- Vertical partitioning for hot/cold data
CREATE TABLE user_profiles_hot (
user_id UUID PRIMARY KEY,
email VARCHAR(255),
last_login TIMESTAMP
);
CREATE TABLE user_profiles_cold (
user_id UUID PRIMARY KEY,
bio TEXT,
preferences JSONB,
created_at TIMESTAMP
);
monitoring_stack:
metrics:
- prometheus
- grafana
- alertmanager
tracing:
- jaeger
- zipkin
- opentelemetry
logging:
- elasticsearch
- logstash
- kibana
application_metrics:
- response_time
- throughput
- error_rate
- cpu_usage
- memory_usage
- database_connections
class CircuitBreaker {
private failureCount = 0;
private lastFailureTime: number | null = null;
private state: 'CLOSED' | 'OPEN' | 'HALF_OPEN' = 'CLOSED';
constructor(
private failureThreshold: number = 5,
private recoveryTimeout: number = 60000,
private monitoringPeriod: number = 10000
) {}
async call<T>(fn: () => Promise<T>): Promise<T> {
if (this.state === 'OPEN') {
if (this.shouldAttemptReset()) {
this.state = 'HALF_OPEN';
} else {
throw new Error('Circuit breaker is OPEN');
}
}
try {
const result = await fn();
this.onSuccess();
return result;
} catch (error) {
this.onFailure();
throw error;
}
}
private shouldAttemptReset(): boolean {
return this.lastFailureTime !== null &&
Date.now() - this.lastFailureTime >= this.recoveryTimeout;
}
private onSuccess(): void {
this.failureCount = 0;
this.state = 'CLOSED';
}
private onFailure(): void {
this.failureCount++;
this.lastFailureTime = Date.now();
if (this.failureCount >= this.failureThreshold) {
this.state = 'OPEN';
}
}
}