Microservices That Scale With Your Business
You need microservices architecture when your monolith can no longer keep up with your business. Whether you want to hire a microservices development company to migrate from monolith to microservices without downtime, bring in experienced microservices architects to design a service-based system from scratch, or need full microservices architecture services covering decomposition, containerisation, orchestration, and CI/CD, the goal is always the same: build microservices that let your teams deploy independently, scale efficiently, and ship features faster. We deliver microservices architecture for SaaS and enterprise apps across fintech, healthcare, e-commerce, and B2B platforms. Ready for a microservices architecture quote? Tell us what you need to decompose, build, or scale.
Microservices architecture projects typically cost between USD 30,000 and USD 200,000 depending on scope, number of services, and migration complexity. A greenfield microservices build with 5 to 8 services starts around USD 30,000. Monolith-to-microservices migration with containerisation and CI/CD runs USD 60,000 to USD 200,000.
Core Capabilities and Features
Monolith-to-Microservices Migration
The most common engagement. The Strangler Fig pattern is used: building new features as microservices while gradually extracting functionality from the monolith. The monolith stays operational throughout. The highest-value extraction targets are identified (usually the components that change most frequently or need independent scaling), extracted one at a time, and traffic is routed through an API gateway. The result is an incremental migration with zero downtime.
- Strangler Fig pattern extracts services incrementally while your monolith stays operational throughout
- Highest-value components extracted first, typically completing the first extraction in 4 to 8 weeks
- API gateway routes traffic to either the monolith or the new service with zero downtime
Docker and Kubernetes Orchestration
Each service is packaged as a Docker container with multi-stage builds, security scanning, minimal base images, and health check endpoints. Containers are deployed to Kubernetes (EKS, GKE, or AKS depending on your cloud) with auto-scaling, self-healing, rolling updates, and resource limits. For simpler setups where Kubernetes is overkill, managed container services (AWS ECS, Google Cloud Run) are used for production.
- Docker containers with multi-stage builds, security scanning, and health check endpoints
- Kubernetes with auto-scaling, self-healing, rolling updates, and resource limits on EKS, GKE, or AKS
- Managed alternatives (AWS ECS, Google Cloud Run) recommended when full Kubernetes is overkill
CI/CD Pipeline Design
Every microservice gets its own CI/CD pipeline: automated testing on every commit, container image building, security scanning, and deployment to staging and production. Pipelines support independent deployment (each team deploys without coordinating with other teams), canary releases (rolling out to a percentage of traffic before full deployment), and rollback (reverting to the previous version if something breaks).
- Each service has its own pipeline: automated testing, container builds, security scanning, and deployment
- Independent deployment so the payments team ships a fix without requiring the users team to redeploy
- Canary releases roll out to a percentage of traffic before full deployment with instant rollback
Why It Matters
A well-designed microservices architecture lets your teams move faster, deploy safer, and scale independently. A badly designed one creates a distributed mess that is harder to maintain than the monolith it replaced. The promise of microservices is real: independent deployment, independent scaling, technology flexibility, and fault isolation. Companies like Netflix, Spotify, and Amazon built their platforms on microservices. But those companies also have hundreds of engineers, dedicated platform teams, and years of operational maturity. For most businesses, the path to microservices is not a big bang migration. It is incremental: start with a monolith, structure it well, and extract services one at a time as the team and the product grow. The companies that succeed with microservices are the ones who adopt them for the right reasons (team independence, scaling requirements, deployment velocity) and invest in the operational infrastructure (CI/CD, monitoring, container orchestration) that makes them work. The ones who struggle are the ones who adopted microservices because it sounded modern, without having the team, the tools, or the operational maturity to support them.
By the Numbers
74%
Nearly three-quarters of organisations are looking to move from monolithic to more flexible architectures. The shift is driven by scaling needs, deployment velocity, and team independence.
Source: Acropolium / Industry Survey
90%
Microservices communicate via APIs. As API adoption becomes universal, the infrastructure for microservices communication is already in place for most enterprises.
Source: Gartner / Market Data Forecast, 2025
46.5%
Nearly half of developer time goes to building and maintaining APIs. Microservices multiply API surface area, making API design and management a critical capability.
Source: SQ Magazine / API Statistics, 2026
$823.92B
The software industry is growing at 11.8% annually. Microservices enable faster feature delivery, which is a competitive advantage in a market growing this rapidly.
Source: Precedence Research / Keyhole Software, 2026
84%
Microservices are fundamentally an integration challenge: services must communicate reliably. The high failure rate underscores the importance of proper API design, error handling, and observability.
Source: Integrate.io / Data Transformation Statistics, 2026
"The question is not whether to use microservices. The question is whether the problems microservices solve are the problems you have. If your monolith deploys cleanly and your team is productive, keep the monolith. If deployment conflicts, scaling bottlenecks, and cascading failures are slowing you down, then microservices are the answer."
Technologies
Our Tech Stack
Our Process
How we turn ideas into reality.
Project Brief
You fill in the short project brief form (takes 5 minutes).
Architecture Review
Your current architecture and team structure are reviewed within 24 hours.
Alignment Call
A 30-minute call is scheduled to align on approach, scope, and budget.
Written Proposal
You receive a written proposal with clear deliverables and fixed pricing.
Pricing
Investment Overview
Number of Services
5 services is a focused build. 20 services is a complex system with significant inter-service communication, shared infrastructure, and operational overhead.
Migration vs Greenfield
A greenfield microservices build is architecturally cleaner. Migrating an existing monolith requires understanding the current system, extracting services incrementally, and maintaining the monolith during migration.
Infrastructure Complexity
Docker Compose for development is simple. Production Kubernetes with auto-scaling, service mesh, and multi-environment deployment is significantly more complex.
Everything we do at Techneth is built around making data move reliably between the systems that matter. If you want to understand our approach before committing, you can read more about our team and how we work. Or explore the full range of digital product and development services we offer, like microservices architecture. And if you already know what you need, get in touch directly and we will find time to talk.
Frequently Asked Questions
Everything you need to know about this service.
- When should I migrate from monolith to microservices?
- When your monolith is causing specific, measurable problems: deployment conflicts between teams, scaling bottlenecks where one component limits the whole system, or cascading failures where a bug in one area crashes everything. If you do not have these problems, a well-structured monolith is the better choice. Microservices solve organisational and scaling challenges. They do not make small teams faster.
- How long does a monolith-to-microservices migration take?
- It depends on the monolith size and the migration strategy. Using the Strangler Fig pattern (incremental extraction), most migrations take 6 to 18 months for a medium-sized application. The highest-value services are extracted first, typically completing the first extraction in 4 to 8 weeks. The monolith stays operational throughout the entire migration.
- How many microservices should we have?
- There is no magic number. Each service should own one business capability with clear boundaries. For a typical e-commerce platform, that might be 8 to 15 services: users, products, orders, payments, inventory, shipping, notifications, and search. Avoid both extremes: too few services and you have a distributed monolith. Too many (nano-services) and you drown in inter-service communication overhead.
- Do we need Kubernetes?
- Not necessarily. Kubernetes is the standard for managing large numbers of containers, but it adds operational complexity. If you have 3 to 5 services, managed container services (AWS ECS, Google Cloud Run, Azure Container Apps) are simpler and cheaper. If you have 10 or more services with auto-scaling, service discovery, and rolling deployments, Kubernetes (as a managed service like EKS, GKE, or AKS) is worth the investment.
- How do microservices communicate?
- Two primary patterns. Synchronous communication (REST or gRPC) for request-response interactions: the user service asks the order service for a list of orders. Asynchronous communication (message queues via Kafka, RabbitMQ, or SQS) for event-driven interactions: the order service publishes an "order placed" event and the shipping, billing, and notification services each react independently. Most systems use both patterns.
- How do you handle data in microservices?
- Each service owns its own database (the database-per-service pattern). Services do not directly access each other's data stores. If one service needs another's data, it requests it through an API or consumes events. This ensures loose coupling. The trade-off is data consistency: eventual consistency (via events) replaces the transactional consistency you get in a monolith with a shared database.
Ready to get a quote on your microservices architecture?
Tell us what you are building and we will put together a scoped proposal within 3 business days. Here is what happens when you reach out:
- 1You fill in the short project brief form (takes 5 minutes).
- 2We review it and come back with initial thoughts within 24 hours.
- 3We schedule a 30 minute call to align on scope, timeline, and budget.
- 4You receive a written proposal with fixed price options.
No commitment required until you are ready. Request your free microservices architecture quote now.
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