Modern Services for Connected, Agile Enterprises
We deconstruct legacy monoliths into modern microservices — with CI/CD pipelines, built-in observability, and fault tolerance for continuous delivery.
Microservices Architecture, re-imagined at scale
In today’s digital era, the difference between being reactive and being proactive comes down to architecture. With fragmented legacy systems, slow-release cycles and brittle dependencies, many enterprises find themselves locked into monolithic models that force slower time-to-market and block innovation.
At Techment, we transform legacy applications into service-led ecosystems, built on independent, deployable services — enabling you to deliver business value faster, with confidence and scale.
Our Microservices Architecture service ensures your enterprise moves from tightly-coupled codebases to lean, autonomous services with full observability, continuous integration/delivery and fault-resilient operations.
Transform your application backbone into a flexible growth engine.
The Challenge
Legacy systems may still “work”, but they are often invisible brakes on innovation, cost and resilience
Enterprises often struggle with
- Large monolithic applications that hamper scalability and agility.
- Slow manual release cycles with high operational overhead.
- Tightly coupled modules and shared databases inhibit independent deployments.
- Poor visibility into service health, leading to cascading failures and downtime.
- Security, compliance, and governance gaps in hybrid-cloud or multi-cloud deployments.
- Difficulty in evolving architecture without disruption or risk.
A modern microservices architecture ensures
- Domain-aligned, loosely coupled services that enable independent development, deployment, and scaling.
- Rapid time-to-market, continuous delivery, and agile experimentation.
- Built-in resilience: failure of containment, graceful degradation and fault diversity.
- Technology-agnostic service stacks, containerization, orchestration and API-first design.
- Observability, monitoring, and governance baked into the service lifecycle.
A proven 5-step Microservices Engineering Framework
Discovery & Assessment
We conduct a deep audit of existing applications, code-modules, data dependencies, runtimes, workflows and release pipelines. From this, we define a blueprint that highlights service candidates, domain boundaries, bottlenecks, and risk-profiles.
Service Definition & Architecture Design
We design a target microservices architecture: define bounded-contexts, service boundaries, APIs, data ownership, event streams, CI/CD pipelines and run-time observability. We align this with your business outcomes, release cadence and change-resilience.
Pilot & Modular Build-out
We develop and deploy a subset of services as a live pilot: containerised services, API gateways, service-mesh or orchestration, monitoring and rollback safety. This phase validates real-world readiness, integration and team readiness.
Full-Scale Roll-Out
We migrate additional modules from monolith to microservices, deploy across environments (cloud, hybrid, on-premises) with automated pipelines, versioning, service discovery and governance guardrails. We ensure minimal business disruption via dual-run, phased cut-over and fallback plans.
Post-Launch Enablement & Evolution
We embed full observability, performance tracking, fault-tolerance, cost-optimisation and ongoing evolution paths (adding new services, scaling up, refactoring). This ensures your microservices backbone continues to support innovation and future business models.
Engineered to accelerate delivery, reduce architectural risk and unlock business agility.
Our Expertise in Data Migration
Category
Capabilities
Architecture & Strategy
Service-boundary definition, API-first design, domain-driven architecture, team topology alignment
Service Development & Platform Engineering
Microservices build-out, containerization (Docker/Kubernetes), service mesh / API Gateway, CI/CD pipelines
Data & Workflow Decoupling
Decentralized data ownership, event-driven messaging (Kafka/RabbitMQ), orchestration across services
Observability & Reliability Engineering
Logging/tracing (OpenTelemetry), monitoring dashboards, fault-isolation patterns (circuit breaker, bulkhead)
Cloud-Native & Hybrid Ecosystem
Multi-cloud/hybrid deployments, service-scaling, infrastructure as code, serverless as needed
Assurance & Continuous Evolution
DevSecOps, automated testing, service versioning, component lifecycle management, runtime governance
Why Choose us
Service-First Mindset
We don’t just migrate code — we build services that enable agility, scalability and business alignment.
Independent of Vendor Lock-in
While we’re fluent in industry platforms, our approach remains tool-agnostic and business-driven.
Enterprise Governance at Scale
Proven frameworks, architectural governance, compliance strategies and QA at enterprise scale.
Automation & Observability Built-in
We embed pipelines, monitoring and telemetry from day one — not as an afterthought.
Industry-Focused
Deep experience across regulated sectors (finance, healthcare, manufacturing) where reliability and change-governance matter most.
Stay Ahead with Insights
Comprehensive solutions to accelerate your digital transformation journey
Blogs
Microsoft Fabric Data Quality & Purview Governance Guide
Introduction: Data Quality Has Become a Board-Level Priority Data quality has always mattered — but as we move towards 2026 and beyond, it has become a board-level concern for organizations scaling analytics, automation, and AI. Enterprises are no longer asking “Do we have enough data?” but rather: Research supports this shift. IDC’s 2024 analysis revealed that poor-quality data costs enterprises an average of […]
Webinar
The Future of Decision Intelligence: AI Copilots for Business Leaders
Whitepaper
Transforming Data Quality Through AI: The Future of Automated Data Preparation
Frequently Asked Questions
Q1. Will migrating to microservices disrupt business operations?
No — we adopt phased roll-out, dual-run strategies and safe fallback mechanisms to ensure minimal disruption and business continuity.
Q2. How do you validate service quality and reliability post-deployment?
We embed observability, telemetry, automated regression testing, version-management and runtime fault-isolation patterns to ensure service integrity and continuous improvement.
Q3. Which technology stacks and clouds do you support?
We support all major public clouds (AWS, Azure, GCP), hybrid/on-premises environments, container orchestration (Kubernetes, ECS, AKS), service-mesh technologies (Istio, Linkerd), runtime observability (Prometheus, OpenTelemetry), and various microservices stacks (Java, .NET, Go, Node). Our architecture is designed to be tool-agnostic and adaptable.
Share a few details about what you’re looking for.
We’ll understand your needs and get back to you with the right direction, ideas, or next steps. Let’s connect and see how we can help you build what’s next.