Design secure APIs, scalable backend services, and event-driven architectures that connect applications, automate workflows, and support evolving enterprise requirements.
Reverse proxy executing edge token verification, rate limiting, and dynamic upstream routing.
From high-throughput REST & gRPC interfaces to event-driven Kafka meshes and distributed Saga orchestrations, we architect backend platforms that eliminate operational bottlenecks.
We engineer production-grade REST, GraphQL, and gRPC APIs designed for high concurrency, clear deprecation life cycles, automated schema validation, and sub-millisecond serialization.
Decompose complex enterprise domains into autonomous, independently deployable microservices. Each service maintains strict data encapsulation and communicates over hardened protocols.
Replace brittle point-to-point synchronous HTTP chains with resilient event-driven architectures. Publish immutable domain events through high-throughput streaming brokers.
Protect internal service meshes behind a centralized API Gateway layer handling edge authentication, SSL termination, dynamic traffic shaping, rate limiting, and request transformation.
Eliminate the risks of distributed dual-writes. We implement transactional outbox patterns, distributed Saga orchestrators, and compensation workflows to maintain eventual consistency across isolated datastores.
Gain instant visibility across polyglot microservice boundaries. Correlate client requests using OpenTelemetry W3C trace contexts, circuit breakers with exponential backoff, and proactive alerts.
Select any architecture tier to inspect how request traffic flows through the perimeter gateway, into isolated domain microservices, across the asynchronous Kafka bus, down into service-owned datastores.
Centralized perimeter controlling all incoming traffic, authorization, and throttling.
Nginx / Kong high-performance ingress receiving global traffic
Validates cryptographic signatures, scopes, and RBAC permissions
Sliding-window Redis-backed rate limiting per tenant and IP tier
No single API style is optimal for every workload. We design polyglot protocol architectures where REST, GraphQL, and gRPC each serve their ideal business and technical role.
Standard HTTP/1.1 and HTTP/2 resources with universal client compatibility.
Microservices are not an automatic upgrade. We help organizations evaluate whether a well-engineered Modular Monolith or an autonomous Microservices mesh provides the right balance between release velocity and operational complexity.
Single codebase, single build artifact, shared single database. All modules run in the same OS process.
When domain boundaries are still evolving rapidly and system traffic can be comfortably served by a single scaled instance.
Single codebase and deployment unit, but strictly separated into encapsulated domain modules with enforced internal boundaries and no circular dependencies.
Ideal baseline for 90% of mid-to-large business applications before introducing microservices infrastructure overhead.
Independently deployable services with private databases, communicated over gRPC or asynchronous Kafka/RabbitMQ events.
When team autonomy, independent deployability, and differential scaling outweigh the operational cost of distributed systems.
Eliminate fragile synchronous HTTP call chains. Publish immutable business domain events to high-throughput message brokers where independent consumer services process data concurrently without blocking client transactions.
Every event contains an immutable `idempotency_key`. Repeated delivers verify key state in Redis to prevent duplicate billing or reservations.
Failing payloads retry with exponential backoff. If max attempts exhaust, poison pills isolate into DLQ for operator inspection without pausing the partition.
Avro & Protobuf schemas register in a centralized schema registry with backwards and forwards compatibility enforcement before deployment.
Never expose internal microservices directly to the public internet. Our API Gateway architectures enforce uniform security, authentication, rate limits, and routing rules across all backend microservices.
Centralized API Gateway layer executing edge token authentication, sliding-window rate limits, and dynamic upstream service routing.
API vulnerabilities are a leading vector of enterprise data breaches. We implement defense-in-depth security architectures that protect data at rest, in transit, and across every inter-service hop.
Stateless RS256 signed access tokens carrying user scopes, role permissions, and tenant isolation identifiers (`x-tenant-id`).
Zero-trust pod-to-pod encrypted communication enforcing dual cryptographic handshake across internal microservice boundaries.
Secure B2B developer API key issuance stored via SHA-256 hashes with granular read/write permission scopes and revocation controls.
Strict payload validation using NestJS ValidationPipe and Zod, stripping unknown properties to prevent mass assignment exploits.
Every authenticated state mutation records user ID, IP address, timestamp, and W3C trace ID in append-only audit datastores.
Enforcing semantic versioning (`/v1`, `/v2`) with Sunset and Deprecation HTTP headers before terminating legacy endpoints.
Learn about our infrastructure encryption, vulnerability disclosure policies, audit readiness, and compliance controls.
In a microservices architecture, services own their databases. To avoid fragile distributed two-phase commits, we implement the Transactional Outbox pattern and Saga orchestrators with automated compensating rollbacks.
Execute credit card / corporate credit line charge via payment gateway API.
Trigger refund API call / credit void to restore client credit limit.
When an entity updates, never publish directly to Kafka in the same HTTP handler. Network failures during the Kafka call cause dual-write inconsistencies. Instead, write the event into an `outbox` table inside the same local database transaction. A Change-Data-Capture (CDC) worker (Debezium) tails the database WAL and streams events reliably with zero data loss.
Distributed networks can deliver duplicate messages due to timeouts and network re-tries. We ensure every consumer operation is idempotent by tracking client-provided `Idempotency-Key` headers in Redis with atomic `SETNX` locks. Repeated requests return cached historical results rather than executing duplicate database mutations.
In distributed systems, networks will fail, disks will saturate, and services will crash. We engineer automated circuit breakers, exponential backoff with full jitter, and bulkhead thread pool isolations so partial outages never become catastrophic system-wide failures.
Downstream microservice failure rate exceeded 50% threshold over 10-second rolling window. Circuit tripped to prevent cascading thread pool exhaustion. Requests fail fast with cached fallback response.
Retries without random jitter cause the "thundering herd" problem, re-saturating recovering servers. We enforce decorrelated jitter to smooth traffic bursts.
Isolating HTTP thread pools and database connection allocations ensures that high latency in reporting queries cannot exhaust checkout worker threads.
Every inter-service gRPC and REST call has a strict timeout budget (e.g., 250ms). Requests that exceed budget abort cleanly rather than tying up sockets.
Kubernetes readiness probes test database connectivity and cache availability before shifting ingress traffic to newly booted service pods.
In microservices, debugging across service hops without distributed tracing is impossible. We instrument OpenTelemetry, Prometheus, and Grafana Loki across every boundary to correlate traces, logs, and metrics under unified W3C span IDs.
High concurrency requires disciplined engineering, not guesswork. We profile every query, optimize connection pooling, and decouple compute bottlenecks so your APIs remain responsive during traffic surges.
Establish realistic baseline throughput and latency curves using k6 and Locust script suites simulating production traffic profiles.
Profile CPU bottlenecks, database sequential table scans, Redis key evictions, and microservice thread pool locks.
Implement L1 in-memory LRU + L2 Redis caching, PgBouncer connection pools, keyset cursor pagination, and payload compression.
Execute stress testing beyond 3x peak load, inject network latency, and trigger pod failovers to verify system resilience.
Audit p50, p95, and p99 latency guarantees against agreed Service Level Objectives (SLOs) before production cutover.
We deploy two-tier caching: ultrafast local process memory (L1 LRU cache) paired with centralized Redis clusters (L2 cache) using cache-aside patterns and event-driven cache invalidations via Kafka.
Direct microservice connections can exhaust PostgreSQL process memory under sudden concurrency. We place PgBouncer pools between pods and databases to multiplex thousands of client sockets across minimal active connections.
Stateless service instances autoscale dynamically based on custom Prometheus metrics (e.g., HTTP request backlog and Kafka partition consumer lag) rather than lagging CPU metrics alone.
Great APIs require zero guesswork. We generate interactive OpenAPI 3.1 specifications with precise payload schemas, RFC-7807 error envelopes, authentication headers, and instant mock servers.
Creates a new order, acquires distributed inventory holds, and starts the asynchronous Saga workflow. Guaranteed idempotent via Idempotency-Key.
{
"customerId": "cust_412",
"currency": "USD",
"warehouseId": "wh_central_01",
"paymentTerms": "NET_30",
"items": [
{
"sku": "RAW-COTTON-500",
"quantity": 250,
"unitPrice": 42.5
},
{
"sku": "DYE-INDIGO-PREM",
"quantity": 40,
"unitPrice": 96.8
}
]
}{
"status": "accepted",
"code": 202,
"data": {
"id": "ord_9825b89c",
"orderNumber": "SO-2026-9825",
"status": "PENDING_RESERVATION",
"sagaTrackingId": "saga_tx_5541092",
"totalAmount": 14497,
"currency": "USD",
"estimatedCompletionMs": 350
}
}We prioritize industry-proven, high-concurrency runtimes and protocols that ensure long-term maintainability, strict type safety, and zero vendor lock-in.
Enterprise runtime environments optimized for type safety, modular architecture, and sub-millisecond execution.
Enterprise TypeScript Framework with modular dependency injection and microservices transport
Event-loop non-blocking I/O runtime powering high-concurrency API instances
Strict compile-time type verification ensuring zero runtime type-casting crashes
Ultra-low latency microservices and high-throughput data streaming proxies
From domain discovery workshops to OpenAPI contract linting and zero-downtime canary cutovers, our 7-stage engineering process ensures architectural integrity at every milestone.
We conduct event storming workshops with your engineering and business stakeholders to identify core domain models, bounded contexts, aggregate roots, and transactional dependencies.
Whether you require a single high-concurrency API backend, an event-driven Kafka architecture, or end-to-end monolith-to-microservices migration, our senior distributed systems engineers deliver turnkey production outcomes.
High-performance, type-safe REST & GraphQL APIs engineered for web, mobile, and partner integrations.
Domain-decomposed microservices with asynchronous Kafka/RabbitMQ messaging and isolated data persistence.
End-to-end distributed system re-architecture, Saga orchestration, and multi-region resilience engineering.
Explore how enterprise organizations scaled their transactions, unified multi-branch database silos, and modernized mission-critical backend systems.
Replaced 4 fragmented legacy systems with our Enterprise ERP across 5 production units, achieving real-time BOM accuracy, automated procurement routing, and 40% faster month-end financial closing.
Digitized merchandising cost sheets, sewing line bundle tracking, and export L/C documentation for a 12-factory garment export group, saving $850k in fabric scrap.
Detailed answers from our principal distributed systems engineers on protocols, eventual consistency, Kafka topologies, and monolith modernization.
Schedule a 1-on-1 discovery session with our Principal Distributed Systems Architect. We evaluate your transaction volumes, bounded contexts, and integration requirements under mutual NDA.
Your architecture blueprints, schemas, and proprietary business workflows remain 100% confidential.
Receive concrete recommendations on protocol selection, database decomposition, and event broker topology.
Never submit production credentials or secret API tokens through public forms. All credentials exchanged via encrypted vaults during onboarding.
From secure API development to complex distributed systems, Nabik AI helps organizations design backend architectures that support their operational goals.