Backend & Cloud

Cloud-Native Backend Development

We architect and build scalable backend systems using modern frameworks and cloud-native technologies. From high-performance APIs to distributed microservices—designed for reliability, observability, and operational excellence.

Production-Ready

Every backend we build includes comprehensive logging, metrics, health checks, and graceful shutdown—ready for production from day one.

Architecture Overview


flowchart TB
    subgraph Clients["Client Layer"]
        A[Web Apps]
        B[Mobile Apps]
        C[IoT Devices]
        D[Third-Party APIs]
    end

    subgraph Gateway["API Gateway"]
        E[Load Balancer]
        F[Rate Limiting]
        G[Authentication]
    end

    subgraph Services["Microservices"]
        H[Service A
Quarkus]
        I[Service B
NestJS]
        J[Service C
Golang]
    end

    subgraph Data["Data Layer"]
        K[(PostgreSQL)]
        L[(Redis)]
        M[(MongoDB)]
        N[Message Queue]
    end

    subgraph Observability["Observability"]
        O[Metrics]
        P[Logging]
        Q[Tracing]
    end

    A & B & C & D --> E
    E --> F --> G
    G --> H & I & J
    H & I & J --> K & L & M
    H & I & J <--> N
    H & I & J --> O & P & Q

    style Clients fill:#e0f2fe,stroke:#0284c7
    style Gateway fill:#fef3c7,stroke:#d97706
    style Services fill:#dcfce7,stroke:#16a34a
    style Data fill:#f3e8ff,stroke:#9333ea
    style Observability fill:#fce7f3,stroke:#db2777

Framework Expertise

Quarkus (Java/Kotlin)

Supersonic, subatomic Java for cloud-native and serverless workloads:

Feature	Capability	Benefit
Native Compilation	GraalVM native images	~10ms startup, minimal memory
Reactive Core	Vert.x, Mutiny	Non-blocking I/O at scale
Developer Joy	Live reload, unified config	Rapid iteration
Extensions	400+ integrations	Kubernetes, databases, messaging

10x Resource Efficiency

Quarkus native builds reduce memory footprint by 80% compared to traditional JVMs—ideal for containerized deployments where resources matter.

NestJS (TypeScript)

Enterprise-grade Node.js framework with modular architecture:

Feature	Capability	Benefit
TypeScript-First	Full type safety	Fewer runtime errors
Modular Design	Dependency injection	Testable, maintainable code
GraphQL & REST	First-class support	Flexible API design
Microservices	Built-in patterns	gRPC, MQTT, Redis transport

Golang

High-performance systems programming for demanding workloads:

Feature	Capability	Benefit
Concurrency	Goroutines, channels	Handle thousands of connections
Performance	Compiled, minimal runtime	Low latency, high throughput
Deployment	Single binary	Simple, dependency-free deploys
Standard Library	Batteries included	HTTP, crypto, encoding built-in

Container Orchestration

Docker

Containerization for consistent environments across development, staging, and production:

Practice	Implementation	Outcome
Multi-Stage Builds	Optimized Dockerfiles	Minimal image sizes
Security Scanning	Trivy, Snyk integration	Vulnerability-free images
Layer Caching	Strategic COPY ordering	Fast CI/CD builds
Health Checks	Built-in health endpoints	Container orchestration

Kubernetes

Production-grade orchestration for scalable, resilient systems:


flowchart LR
    subgraph Cluster["Kubernetes Cluster"]
        subgraph NS1["Production Namespace"]
            A[Deployment]
            B[Service]
            C[Ingress]
        end

        subgraph NS2["Monitoring"]
            D[Prometheus]
            E[Grafana]
            F[Loki]
        end

        subgraph Storage["Persistent Storage"]
            G[(PVC)]
            H[ConfigMaps]
            I[Secrets]
        end
    end

    C --> B --> A
    A --> G & H & I
    A --> D
    D --> E
    A --> F

    style Cluster fill:#f8fafc,stroke:#64748b
    style NS1 fill:#dcfce7,stroke:#16a34a
    style NS2 fill:#fef3c7,stroke:#d97706
    style Storage fill:#e0f2fe,stroke:#0284c7

Capability	Tools & Patterns	Use Case
Auto-Scaling	HPA, VPA, KEDA	Traffic-responsive scaling
Service Mesh	Istio, Linkerd	mTLS, traffic management
GitOps	ArgoCD, Flux	Declarative deployments
Secrets Management	External Secrets, Vault	Secure credential handling

Cloud Platforms

We deploy to all major cloud providers with infrastructure-as-code:

Platform	Services	Specialization
AWS	EKS, Lambda, RDS, SQS	Enterprise workloads
Google Cloud	GKE, Cloud Run, Cloud SQL	ML/AI integration
Azure	AKS, Functions, Cosmos DB	Microsoft ecosystem
Hetzner	Dedicated, Cloud	Cost-effective EU hosting

Multi-Cloud Ready

Our Kubernetes-native approach enables portability across cloud providers—avoiding vendor lock-in while leveraging managed services where beneficial.

API Design

RESTful APIs

Practice	Implementation	Benefit
OpenAPI Specification	Contract-first design	Auto-generated clients
Versioning	URL or header-based	Backward compatibility
Pagination	Cursor-based	Efficient large datasets
HATEOAS	Hypermedia links	Discoverable APIs

GraphQL

Feature	Capability	Use Case
Schema-First	Type-safe contracts	Frontend-backend alignment
Federation	Distributed graphs	Microservices composition
Subscriptions	Real-time updates	Live data feeds
Batching	DataLoader pattern	N+1 query prevention

gRPC

Feature	Capability	Use Case
Protocol Buffers	Binary serialization	High-performance IPC
Streaming	Bidirectional streams	Real-time communication
Code Generation	Multi-language stubs	Polyglot microservices

Database & Messaging

Data Stores

Database	Use Case	Integration
PostgreSQL	Relational, ACID	Prisma, GORM, Hibernate
MongoDB	Document store	Flexible schemas
Redis	Caching, sessions	Sub-millisecond access
TimescaleDB	Time-series	IoT, metrics, analytics

Message Queues

Technology	Pattern	Use Case
RabbitMQ	AMQP, routing	Task queues, events
Apache Kafka	Event streaming	High-throughput pipelines
Redis Streams	Lightweight streaming	Simple event sourcing
NATS	Cloud-native messaging	Microservices communication

DevOps & CI/CD

Automated pipelines for reliable, repeatable deployments:

Stage	Tools	Automation
Build	GitHub Actions, GitLab CI	Containerization, testing
Test	Jest, Go test, JUnit	Unit, integration, E2E
Security	Trivy, SonarQube, OWASP	SAST, DAST, dependency scanning
Deploy	ArgoCD, Helm, Kustomize	GitOps, rollback support
Monitor	Prometheus, Grafana, Loki	Metrics, logs, alerts


flowchart LR
    A[Code Push] --> B[Build & Test]
    B --> C[Security Scan]
    C --> D[Build Image]
    D --> E[Push Registry]
    E --> F[Deploy Staging]
    F --> G[Integration Tests]
    G --> H[Deploy Production]
    H --> I[Monitor]

    style A fill:#e0f2fe,stroke:#0284c7
    style B fill:#fef3c7,stroke:#d97706
    style C fill:#fce7f3,stroke:#db2777
    style D fill:#dcfce7,stroke:#16a34a
    style E fill:#f3e8ff,stroke:#9333ea
    style F fill:#fef3c7,stroke:#d97706
    style G fill:#dcfce7,stroke:#16a34a
    style H fill:#e0f2fe,stroke:#0284c7
    style I fill:#fce7f3,stroke:#db2777

Observability Stack

Production systems require comprehensive visibility:

Layer	Tools	Purpose
Metrics	Prometheus, Grafana	Performance monitoring
Logging	Loki, Elasticsearch	Centralized log aggregation
Tracing	Jaeger, OpenTelemetry	Distributed request tracing
Alerting	Alertmanager, PagerDuty	Incident response

Implementation Process

Architecture Design: Define service boundaries, data flows, and integration points
Technology Selection: Choose optimal frameworks and databases for requirements
Infrastructure Setup: Provision Kubernetes clusters, databases, and CI/CD
Service Development: Implement APIs, business logic, and integrations
Testing & Security: Comprehensive testing and security hardening
Deployment: GitOps-based deployment with monitoring and alerting
Operations: Ongoing maintenance, scaling, and optimization

Planning a cloud-native backend? Contact us to discuss architecture and implementation strategy.