App Modernisation - Microsoft Solutions Partner | Cambay Solutions
App Modernisation - Microsoft Solutions Partner | Cambay Solutions
Azure App Modernisation

Containerisation, Microservices
& AKS on Azure.

Legacy monolithic applications are slowing your business down. Cambay re-architects ageing software into cloud-native microservices — deployed on Azure Kubernetes Service — enabling continuous delivery, auto-scaling and the development velocity your competitors already have.

✅ Microsoft Solutions Partner ✅ Azure DevOps Certified ✅ AKS & Container Experts ✅ US-Based Cloud Architects
10×
Faster Deployment Cycles
60%
Reduction in Release Risk
99.9%
Application Uptime Achieved
45%
Avg. Infrastructure Saving
What is App Modernisation?

Break Free from Your Legacy Monolith

Application modernisation is the process of transforming legacy, monolithic applications into cloud-native, containerised microservices — deployed on Azure Kubernetes Service (AKS). The result is software that scales automatically, deploys safely in minutes and can be changed by individual teams without touching the whole system.

Cambay's cloud architects assess your existing application landscape, design the target architecture and execute modernisation programmes that deliver measurable outcomes — faster time-to-market, lower infrastructure cost, higher reliability and a development team that can finally move fast.

Azure Kubernetes Service (AKS)
Microservices Architecture
Azure App Service & Functions
DevOps & CI/CD Pipelines
Azure API Management
Secure Software Supply Chain
Cloud-Native vs Legacy Monolith
Deployment Frequency
Multiple times per day
Months between releases
Deployment Risk
Blue-green, canary releases
Full system risk every release
Scaling
Auto-scale per microservice
Scale the whole app or nothing
Team Autonomy
Teams own their own services
All changes require co-ordination
Fault Isolation
One service fails, rest runs
One bug can crash everything
Technology Freedom
Best tool per service
One stack for everything
Infrastructure Cost
Pay for what you use
VMs running at 10% utilisation
Business Challenges Solved

Is Your Legacy Application Slowing Everything Down?

App modernisation on Azure solves the engineering, operational and commercial problems that legacy architectures create — enabling velocity, resilience and growth.

The Problem

Releases Take Months & Break Things

Every deployment is an all-hands event. Testing takes weeks, deployments happen at midnight, rollbacks are manual and something always breaks — your competitors are shipping daily while you ship quarterly.

The Solution

CI/CD Pipelines — Deploy in Minutes, Safely

Azure DevOps and GitHub Actions deliver fully automated build, test and deployment pipelines with blue-green switching and canary releases — reducing deployment time from weeks to minutes with zero downtime.

The Problem

Application Can't Handle Traffic Spikes

A marketing campaign, a seasonal peak or a viral moment sends traffic surging — and your application falls over. You're either over-provisioned (expensive) or under-provisioned (unavailable).

The Solution

Auto-Scaling on Azure Kubernetes Service

AKS horizontal pod autoscaler scales individual microservices up and down in seconds based on real CPU, memory and custom metrics — handling any traffic spike automatically without manual intervention.

The Problem

Technical Debt Crippling Developer Velocity

A decade of patch-on-patch development has created a tightly coupled codebase where nobody understands the whole system. New features take 3× longer than they should and regressions are constant.

The Solution

Microservices — Teams Own Their Domain

Decomposing the monolith into bounded-context microservices gives each team full ownership of their service — independent deployments, independent scaling and freedom to choose the right technology.

The Problem

Infrastructure Costs Are Out of Control

Large VMs running legacy applications sit at 5–15% average CPU utilisation — you're paying for capacity you never use, with no ability to scale down overnight or at weekends.

The Solution

Container Density & Serverless for 45% Savings

Containerising applications on AKS dramatically increases server density. Serverless functions on Azure Functions scale to zero when idle — Cambay typically delivers 40–50% infrastructure cost reduction through containerisation alone.

The Problem

Integrations Are Fragile Point-to-Point

Your application has dozens of direct integrations to third-party systems — each a custom, undocumented API call. When one system changes, everything downstream breaks and nobody knows why.

The Solution

Azure API Management — Governed Integration

Azure API Management centralises all internal and external API interactions behind a managed gateway — with versioning, rate limiting, authentication, developer portal and analytics for every API in your estate.

The Problem

No Observability — Incidents Are a Mystery

When production goes down, the team spends hours searching logs across multiple servers, correlating timestamps manually — with no distributed tracing, no structured logging and no alerting until users complain.

The Solution

Full-Stack Observability with Azure Monitor

Application Insights, Azure Monitor and distributed tracing give complete end-to-end visibility across every service, request and dependency — with smart detection alerts that identify issues before users do.

Our App Modernisation Services

Cloud-Native Architecture Built to Last

From containerisation and AKS to DevOps, serverless and API management — Cambay delivers the full cloud-native application stack on Azure.

Azure Kubernetes Service (AKS)

Orchestrate containerised microservices at enterprise scale — with automatic scaling, rolling updates, self-healing and the full power of the Kubernetes ecosystem, managed by Azure.

Managed Kubernetes Clusters

Azure manages the Kubernetes control plane, patches and upgrades — you focus on deploying applications, not managing infrastructure.

Horizontal Pod Autoscaling

Scale individual services up or down based on CPU, memory or custom metrics — in seconds, without any manual intervention or downtime.

Rolling Updates & Rollback

Deploy new versions with zero downtime using rolling update strategies. One-command rollback to the previous version if issues are detected.

Self-Healing Workloads

Kubernetes automatically restarts failed containers, reschedules pods from failed nodes and replaces unresponsive instances — continuous availability.

Azure AD Workload Identity

Assign managed identities to pods for secure, password-free access to Key Vault, Storage, Databases and other Azure services.

Multi-Cluster & Fleet

Manage multiple AKS clusters across regions with Azure Fleet Manager — for disaster recovery, geo-distribution and blue-green environments.

DevOps & CI/CD Pipelines

Automate every stage of your software delivery pipeline — from code commit to production deployment — with Azure DevOps and GitHub Actions, delivering multiple safe releases per day.

Azure Repos & GitHub

Enterprise Git hosting with branch protection, pull request workflows, code owners and policy gates — ensuring code quality before merge.

Automated Build Pipelines

Azure Pipelines triggers on every commit — building, testing and creating container images with full test suite execution and quality gates.

Automated Testing Gates

Unit, integration, security scanning (SAST/DAST) and container vulnerability scanning gates prevent broken or insecure code from reaching production.

Blue-Green & Canary Deploys

Route a percentage of traffic to new versions before full cutover — validating performance and error rates before committing to the full rollout.

Azure Boards

Agile project management — backlogs, sprints, work items and burndown charts — natively integrated with pipelines and repos for end-to-end traceability.

Secure Supply Chain

Dependency scanning, container image signing, SBOM generation and policy-as-code ensure every artefact deployed to production is trusted and verified.

Azure App Service

Host web applications, REST APIs and mobile backends with enterprise SLAs — with built-in auto-scaling, SSL, custom domains, deployment slots and deep Application Insights integration.

Multi-Language Runtime

Support for .NET, Java, Node.js, Python, PHP and Ruby — run any web framework on a fully managed PaaS with automatic OS patching.

Deployment Slots

Staging slots for zero-downtime deployments — swap staging to production instantly, with auto-swap configuration for CI/CD pipelines.

Auto-Scaling Rules

Scale out App Service instances based on CPU, memory, HTTP queue depth or custom metrics — handling any traffic pattern cost-effectively.

VNet Integration & Private Endpoints

Inject App Service into your Azure VNet to access databases and services privately, with Private Endpoints eliminating public internet exposure.

Easy Auth & Entra ID

Built-in authentication with Microsoft Entra ID, Google, Facebook and Apple — securing APIs without writing authentication code.

App Service Environment (ASE)

Dedicated, fully isolated hosting for high-scale, high-security workloads — running in your own VNet with no shared infrastructure.

Azure Functions — Serverless

Event-driven serverless compute that scales to zero when idle and handles millions of invocations when needed — ideal for integrations, automation, APIs and microservice backends.

Consumption & Premium Plans

Pay only for execution time on consumption plan. Premium plan for VNet integration, pre-warmed instances and longer execution limits.

Timer, HTTP & Event Triggers

Trigger functions on schedule, HTTP requests, Service Bus messages, Blob Storage events, Event Hub streams or Cosmos DB change feed.

Durable Functions

Orchestrate long-running, stateful workflows in serverless code — fan-out/fan-in patterns, human approval flows and chained activities.

Output Bindings

Write results directly to Azure SQL, Cosmos DB, Service Bus, Storage or Event Hub without infrastructure plumbing — just configure the binding.

Isolated Worker Process

.NET Isolated worker process provides full control of middleware, DI container and runtime version — independent of the host version.

Container-Based Functions

Package functions as container images deployed to Azure Container Apps or AKS — combining serverless execution with container portability.

Azure API Management

Centralise, secure, analyse and monetise every API across your organisation — with a developer portal, rate limiting, OAuth2 authentication and end-to-end observability for every API interaction.

API Gateway

Single entry point for all backend APIs — routing, load balancing, caching and transformation handled centrally without touching backend code.

Developer Portal

Auto-generated, customisable developer portal where internal and external consumers discover, test and subscribe to APIs with self-service onboarding.

OAuth2, JWT & Cert Auth

Enforce authentication policies — validate JWTs, call authorisation servers and restrict API access by subscription, IP or certificate.

Rate Limiting & Quotas

Protect backends from abuse with per-subscription rate limits and usage quotas — configurable without code changes to the backend service.

API Analytics

Track call volumes, latency, error rates and consumer usage per API, operation and subscription — with Power BI integration for reporting.

Policy Engine

Transform requests and responses with inbound/outbound policies — add headers, rewrite URLs, mock responses and call external services inline.

Observability & Application Insights

Full-stack observability for cloud-native applications — distributed tracing, structured logging, performance monitoring and AI-powered anomaly detection across every service in your architecture.

Application Insights

SDK-based APM collecting requests, dependencies, exceptions, page views and custom events — with live metrics streaming for real-time incident response.

Distributed Tracing

End-to-end transaction tracing across microservices, message queues and external dependencies — pinpoint latency and failures across the full call chain.

Log Analytics Workspace

Centralised log aggregation from AKS, App Service, Functions and infrastructure — with KQL queries, saved searches and alert rules.

Smart Detection & Alerts

AI-powered anomaly detection identifies failure rate spikes, performance degradation and dependency issues — alerting before users notice.

Azure Dashboards

Operational dashboards combining metrics from multiple services — customised per team, with pinned charts and service health summaries.

SLA & SLO Tracking

Define error budgets, burn rate alerts and SLO dashboards that give engineering teams clear signal on reliability — aligned to business commitments.

Our Modernisation Approach

Strangler Fig to Cloud-Native in Phases.

Cambay uses a proven strangler fig pattern — progressively extracting services from the monolith without a big-bang rewrite. Each phase delivers value while reducing legacy dependency.

01
Application Assessment
ip-icon-blue

Architecture review, codebase analysis, dependency mapping and cloud readiness scoring. Output: modernisation roadmap with prioritised service decomposition plan.

02
Foundation & DevOps
ip-icon-purple

Establish AKS cluster, CI/CD pipelines, container registry, monitoring and security baseline — the platform that every microservice will deploy onto.

03
First Service Extraction
ip-icon-green

Extract the highest-value bounded context from the monolith as the first independent microservice — proving the pattern and delivering immediate deployment velocity.

04
Progressive Decomposition
ip-icon-amber

Sprint-by-sprint extraction of additional services — each one making the monolith smaller and the microservice architecture broader — with the legacy app running in parallel throughout.

05
Decommission Legacy
ip-icon-red

Once all traffic is routed through the new cloud-native architecture and the legacy monolith is confirmed idle — decommission it and eliminate the infrastructure cost.

We'd been talking about modernising our core platform for 5 years but were paralysed by the risk. Cambay's strangler fig approach meant we extracted services one at a time — our first deployment to production from the new pipeline happened in week 6. We now deploy 15 times a day. The transformation has been extraordinary.
CTO · US SaaS Platform, 200,000 Users
15×
Daily Deployments
45%
Infrastructure Saving
99.97%
Uptime Achieved
6wk
First Pipeline Live
FAQs

Common Questions About App Modernisation

Have a question about modernising your applications? Our cloud architects are ready to help.

Book an Architecture Review

Rarely. The strangler fig pattern — gradually extracting services from the monolith while keeping it running — is the safest and most common modernisation approach. You get the benefits of cloud-native incrementally, without the risk and cost of a big-bang rewrite. Cambay's assessment identifies which parts of your system to modernise first for maximum impact with minimum risk.

AKS is Microsoft's managed Kubernetes service — the industry-standard platform for orchestrating containerised applications. Azure manages the Kubernetes control plane (updates, patching, availability) for free, leaving you to manage only your application workloads. It provides auto-scaling, self-healing, rolling deployments and a rich ecosystem of tools — making it the default choice for cloud-native application platforms on Azure.

Virtual machines virtualise hardware — each VM runs a complete operating system, consuming gigabytes of memory even before your application starts. Containers virtualise the operating system — sharing the host OS kernel, starting in milliseconds and consuming megabytes. This means you can run 10–20× more application instances on the same hardware, dramatically improving density and reducing cost.

An application assessment and first microservice extraction typically takes 8–12 weeks. Full platform modernisation programmes for complex monoliths are multi-quarter engagements — typically 6–18 months — delivered in sprints with working software at the end of every two weeks. Cambay scopes each programme based on the complexity, coupling and business priority of your application landscape.

Cambay is technology-agnostic on CI/CD tooling — we work with Azure DevOps Pipelines, GitHub Actions and GitLab CI depending on your existing tooling and team preference. The principles are the same regardless of tooling: automated builds, test gates, container image scanning and progressive deployment strategies. We help you adopt GitOps practices using Flux or ArgoCD for Kubernetes deployments.

The strangler fig pattern (coined by Martin Fowler) involves gradually replacing components of a legacy monolith by routing specific functionality to new microservices — one piece at a time — until the monolith can be decommissioned. It's named after the strangler fig tree that grows around an existing tree until the original is no longer needed. It's the safest way to modernise without a high-risk, high-cost full rewrite.

Database decomposition is often the hardest part of modernisation. Cambay uses the Database-per-Service pattern — each microservice owns its own data store. We use the Saga pattern for distributed transactions and event sourcing for audit trails. Data migration is done incrementally with dual-write patterns ensuring zero data loss and zero downtime during transition.

Cambay offers managed support packages for modernised Azure environments — covering AKS cluster management, pipeline maintenance, dependency updates, security patching, cost optimisation and access to our architects for new feature work. We also offer DevOps-as-a-Service engagements where we embed Cambay engineers into your team on a retainer basis.

Start Your Modernisation Journey

Ready to Break Free from Your Legacy Monolith?

Book a free Architecture Review with a Cambay cloud architect. We'll assess your current application landscape, identify modernisation priorities and produce a risk-free phased roadmap — at no cost and no obligation.

✓ No obligation  ·  ✓ Microsoft Solutions Partner  ·  ✓ No Big-Bang Rewrite

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