WEB & MICROSERVICES

Scalable Web
Architectures.

We develop enterprise portals, SaaS, and B2B platform solutions with high availability using microservice-oriented distributed architectures and modern frameworks. We manage the transition from monolith to micro seamlessly.

MicroservicesEvent-DrivenMicro-FrontendHigh Availability
platform.veri.plus/services
Service Mesh
HEALTHY
API Gateway48k req/min
Avg. 28msUptime: 99.98%
Auth
×3
CPU 22%
Orders
×5
CPU 48%
Notify
×2
CPU 15%
Event Bus (Kafka)
order.created
2.4k/s
payment.processed
890/s
inventory.updated
1.1k/s

Why Distributed Architecture?

Unlimited Scalability

Scale each service independently, both horizontally and vertically, during peak traffic. No bottlenecks remain, and costs stay optimized.

High Availability

A failure in one service does not bring down the entire system. Target 99.99% uptime with circuit breaker and fallback mechanisms.

Independent Development

Teams work on different services simultaneously. Domain-driven design simplifies codebase maintenance and accelerates release velocity.

Service Mesh
HEALTHY
API Gateway48k req/min
Avg. 28msUptime: 99.98%
Auth
×3
CPU 22%
Orders
×5
CPU 48%
Notify
×2
CPU 15%
Event Bus (Kafka)
order.created
2.4k/s
payment.processed
890/s
inventory.updated
1.1k/s

Microservice & Backend Architecture

We design event-driven distributed systems with .NET Aspire. We build robust, extensible infrastructure with API Gateway, service mesh, and message broker integrations.

Asynchronous communication based on Kafka and RabbitMQ with Event-Driven Architecture.
Centralized authentication and traffic management with API Gateway & Service Mesh.
Millisecond response times and database load reduction with Redis Caching.
Auto-scaling and zero-downtime deployment with Docker & Kubernetes.

Technologies We Use

C# / .NET AspireDockerKubernetesAPI GatewayKafkaRabbitMQRedisPostgreSQL
Micro-Frontend
DEPLOYED
App ShellHost App
shell/header
v2.1.0
mfe/product-list
v1.8.3
mfe/checkout
v3.0.1
mfe/user-profile
v1.4.0
Bundle Analysis
vendor.js82KB
app.js64KB
lazy-chunks45KB
css16KB
CI/CD Status
Build
Test
E2E
Deploy

Micro-Frontend & Performance

We transform large monolithic frontend structures into micro-frontend architectures that ensure team independence. With Module Federation, each team can independently deploy their application; users experience a single seamless interface.

Independently deployable frontend applications with Module Federation.
Core Web Vitals optimization and SEO advantage with SSR / SSG (Next.js).
Consistent UI library and component-driven development with Design System.
90%+ test coverage target with Playwright/Cypress through E2E & Unit Tests.
Load Balancer
AUTO-SCALE
Active Connections84,219
Peak: 120k req/sp99: 42ms
Kubernetes HPA
api-gateway8/10 pods
order-service12/20 pods
auth-service5/10 pods
CDN / Edge Cache
96.4%
Cache Hit
38
Edge Nodes
8ms
Avg TTL

High Traffic & Elastic Scaling

We design infrastructure that handles hundreds of thousands of concurrent connections within seconds. Kubernetes HPA automatically adjusts pod count based on real-time metrics; CDN edge nodes serve static content from the nearest point to the user.

Event-driven, per-second automatic pod scaling with HPA & KEDA.
96%+ cache hit ratio and globally low latency with CDN & Edge Caching.
Malicious traffic blocked at the gate with Rate Limiting & DDoS protection.
Error propagation prevented across the service chain with Circuit Breaker.

Technologies We Use

Nginx / TraefikKubernetes HPAKEDACloudflareIstioPrometheusGrafana
Query Profiler
OPTIMIZED
Query Performance
SELECT orders JOIN users2ms
SELECT * FROM products180ms
INSERT INTO events1ms
FULL SCAN inventory740ms
Index Usage
idx_user_email99.2%
idx_order_date87.4%
idx_product_cat61.0%
24/50
Pool Connections
PgBouncer
3 replica
Read Replicas
Lag: 12ms

Database & Query Optimization

Slow queries, missing indexes, and connection bottlenecks silently degrade performance. We optimize the database layer to its fullest with query profiling, index strategy, and read replica configuration.

Root causes of slow queries identified and reduced to millisecond-level with Index & Query Optimization.
Read load distributed and primary server protected with Read Replica & Sharding.
Connection count managed and connection spikes prevented with PgBouncer Connection Pooling.
Repeated queries answered without reaching the database with Redis L2 Cache.

Technologies We Use

PostgreSQLPgBouncerRedisElasticsearchEntity FrameworkDapper

Future-Proof Your Architecture

We seamlessly manage the transition from monolithic structures to modern microservice ecosystems. We analyze your existing infrastructure and chart the most efficient roadmap together.

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