Service boundaries drawn around technical layers create tight coupling and distributed monoliths. We design architecture based on business domains, implement communication patterns that maintain service independence, and build observability into every service from the start. You get systems that scale complexity linearly, not exponentially.
Microservices Architecture That Stays Maintainable
Build microservices with clear boundaries, automated deployment, and monitoring that scales without becoming unmaintainable.
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Microservices that don't become distributed chaos
Poor service boundaries turn microservices into distributed monoliths. Services become coupled through shared databases, and promised modularity becomes complexity. We design architecture around business domains, implement communication patterns that maintain independence, and build observability that tracks requests across services.
Our capabilities include:
- Service architecture design and domain modeling
- Monolith to microservices migration strategy
- API gateway and service mesh implementation
- Distributed tracing and observability
- Data consistency patterns and event-driven architecture
- Container orchestration and deployment automation
Who we support
We work with engineering teams where monolithic applications can’t scale, microservices initiatives stalled due to complexity, or distributed systems lack the observability needed to maintain them effectively.
Teams Outgrowing Monolithic Architecture
Your application scales by duplicating the entire monolith, wasting resources. New features require coordinating across the codebase, and deployment risk grows with each release. Service architecture enables independent scaling and deployment.
Teams With Unmaintainable Microservices
Your microservices are coupled through shared databases and synchronous calls. Debugging requires tracing through dozens of services, and changes impact multiple services. Proper boundaries and patterns restore modularity.
Enterprises Migrating Legacy Systems
Your monolith can't support new requirements, but a rewrite is too risky. You need incremental migration that extracts services gradually while maintaining stability and delivering features throughout the transition.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.
Helping a Series B SaaS company refine and scale their product efficiently
Why choose Curotec for microservices?
1
Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
2
Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
3
Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
4
Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Microservices architecture capabilities
Service Architecture Design
Define service boundaries by business domains to reduce coupling and let teams work independently with less coordination.
API Gateway & Service Mesh
Implement gateways for routing and authentication while service mesh manages inter-service communication, retries, and circuit breaking.
Monolith Migration Strategy
Extract services incrementally using strangler fig pattern that wraps legacy functionality and routes traffic gradually throughout transition.
Distributed Tracing & Observability
Track requests across services with distributed tracing, centralized logging, and metrics that surface bottlenecks before they impact users.
Data Consistency Patterns
Implement saga patterns and eventual consistency strategies that maintain data integrity across services without distributed transactions.
Container Orchestration
Deploy services with Kubernetes that handles scaling, self-healing, and rolling updates while maintaining service discovery automatically.
Tools & technologies for microservices
Container Platforms & Orchestration
Our engineers deploy microservices with container platforms that package services, manage dependencies, and orchestrate at scale.
- Docker — Container platform that packages microservices with dependencies into portable units ensuring consistent runtime across environments
- Kubernetes — Orchestration system that automates deployment, scaling, and management with self-healing, rolling updates, and service discovery
- Amazon ECS — AWS container service with native AWS integration for running Docker containers with managed infrastructure and scaling
- Google Kubernetes Engine — Managed Kubernetes service with auto-scaling, built-in security, and integration with Google Cloud services
- Azure Kubernetes Service — Microsoft’s managed Kubernetes platform with enterprise security, hybrid deployment, and Azure ecosystem integration
- Docker Swarm — Native Docker clustering tool that orchestrates containers with simpler setup than Kubernetes for smaller deployments
API Gateways & Service Mesh
Curotec implements gateways and service mesh that route traffic, enforce policies, and manage service-to-service communication.
- Kong — API gateway with plugins for authentication, rate limiting, logging, and traffic control that routes requests to backend services
- NGINX — High-performance reverse proxy and load balancer that handles API gateway functions with routing, SSL termination, and caching
- Istio — Service mesh that manages traffic routing, security, and observability between services with sidecar proxies on Kubernetes
- Linkerd — Lightweight service mesh with automatic mTLS encryption, traffic splitting, and latency-aware load balancing for microservices
- AWS API Gateway — Managed service for creating and publishing APIs with throttling, authorization, monitoring, and AWS service integration
- Envoy — Cloud-native proxy that powers service mesh with advanced load balancing, health checking, and observability features
Service Discovery & Load Balancing
Our teams configure discovery mechanisms that register services automatically and distribute traffic across healthy instances.
- Consul — Service mesh solution with service discovery, health checking, and key-value storage for configuration management across distributed systems
- etcd — Distributed key-value store that maintains service registry and configuration data with strong consistency guarantees
- Eureka — Netflix service discovery server that registers microservice instances and enables client-side load balancing in Spring applications
- HAProxy — High-availability load balancer and proxy that distributes traffic with health checks, SSL termination, and connection pooling
- AWS Elastic Load Balancing — Managed load balancing service that automatically distributes traffic across targets with health monitoring and auto-scaling
- Traefik — Cloud-native load balancer with automatic service discovery, dynamic configuration, and built-in SSL certificate management
Messaging & Event Streaming
Curotec builds asynchronous communication with message brokers and event streams that decouple services and improve resilience.
- Apache Kafka — Distributed event streaming platform that handles high-throughput message publishing with durable storage and replay capabilities
- RabbitMQ — Message broker that implements AMQP protocol for reliable asynchronous communication with routing, queuing, and delivery guarantees
- Amazon SQS — Managed message queue service that decouples services with reliable message delivery, dead-letter queues, and automatic scaling
- Redis Streams — In-memory data structure for message streaming with consumer groups, persistence, and millisecond-latency message delivery
- NATS — Lightweight messaging system with pub-sub and request-reply patterns designed for cloud-native applications and microservices
- Google Cloud Pub/Sub — Managed messaging service with global message ordering, exactly-once delivery, and integration with Google Cloud ecosystem
Observability & Monitoring
Our engineers implement distributed tracing, centralized logging, and metrics collection that track requests across all services.
- Jaeger — Distributed tracing system that tracks requests across microservices with visualization of latency bottlenecks and dependency graphs
- Prometheus — Time-series monitoring system that collects metrics with PromQL query language and alerting based on threshold conditions
- Grafana — Visualization platform that creates dashboards from multiple data sources with alerting, annotations, and custom panels
- ELK Stack — Elasticsearch, Logstash, and Kibana combined for centralized logging with search, analysis, and visualization capabilities
- Datadog — Cloud monitoring platform with distributed tracing, APM, log aggregation, and infrastructure monitoring in unified dashboards
- New Relic — Application performance monitoring with transaction tracing, error tracking, and service maps across distributed architectures
CI/CD & Deployment Automation
We create pipelines that test, build, and deploy services independently with automated rollbacks when deployments fail.
- Jenkins — Automation server with extensive plugin ecosystem for building pipelines that test, build, and deploy microservices independently
- GitLab CI/CD — Integrated CI/CD platform with Git repository that automates testing and deployment with pipeline-as-code configuration
- GitHub Actions — Workflow automation built into GitHub that triggers builds, tests, and deployments on code changes with marketplace integrations
- ArgoCD — GitOps continuous delivery tool for Kubernetes that synchronizes cluster state with Git repositories for declarative deployments
- Spinnaker — Multi-cloud continuous delivery platform with deployment strategies like canary, blue-green, and automated rollback capabilities
- CircleCI — Cloud-native CI/CD platform with Docker support, parallel testing, and deployment orchestration across multiple environments
Microservices architecture FAQs
How do you determine service boundaries?
We analyze business domains and bounded contexts using domain-driven design principles. Services align with business capabilities rather than technical layers, minimizing coupling and enabling teams to work independently on distinct features.
How long does monolith migration take?
Basic service extraction with strangler fig pattern takes 8-12 weeks. Complete migrations depend on monolith complexity and team capacity, typically running 6-12 months with incremental releases throughout the process.
How do you handle data consistency across services?
We implement saga patterns for distributed transactions using choreography or orchestration. Event sourcing captures state changes as events, and eventual consistency strategies maintain data integrity without two-phase commits.
What's the difference between microservices and SOA?
Service-oriented architecture uses enterprise service buses and shared databases. Microservices emphasize independent deployment, decentralized data management, and lightweight communication protocols like REST or messaging.
How do you prevent network latency issues?
We design coarse-grained APIs that reduce call frequency, implement caching at multiple layers, use asynchronous messaging where appropriate, and collocate services that communicate frequently within the same availability zone.
Do you provide support after implementation?
Yes, we offer retainer support for service optimization, new service development, and troubleshooting distributed systems. Our teams maintain familiarity with your architecture for rapid response when issues emerge.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
