Cloud Computing · Case Study

Kanila

Moving a professional services firm from on-premise hosting to Microsoft Azure.

Kanila is a professional services firm whose systems ran on a single on-premise server: no redundancy if it went down, deployments done by hand, and scaling meant buying more hardware. It worked, but it left the business exposed to a single point of failure and slowed down every release.

We migrated Kanila's infrastructure to Microsoft Azure, replaced the manual deployment process with an automated pipeline, and put monitoring and backups in place so the team has visibility and a safety net instead of a single fragile server.

ClientKanila
RoleCloud infrastructure migration
Built withMicrosoft Azure, Azure DevOps, GitHub Actions
Before
On-premise server
  • Single physical server, no failover
  • Manual deployments
  • Scaling meant new hardware
  • Irregular, manual backups
After
Microsoft Azure
  • Managed, autoscaling hosting
  • Automated Azure DevOps / GitHub Actions pipeline
  • Scales without new hardware
  • Automated backups & monitoring

Kanila's infrastructure, before and after the migration to Microsoft Azure.

How it came together

01

Problem

Kanila's systems ran on a single on-premise server with no redundancy. Deployments were done manually, so releasing an update meant a member of the team logging into the server directly. Scaling up meant sourcing and configuring new hardware, and there was no consistent backup routine, leaving the business exposed if that one server ever failed.

02

Approach

We migrated Kanila's infrastructure to Microsoft Azure, moving from a single physical server to managed, autoscaling hosting. We replaced the manual release process with an automated Azure DevOps / GitHub Actions deployment pipeline, and set up automated backups and monitoring so the team has visibility into the health of the system without needing to dig into server logs.

03

Outcome

Kanila's infrastructure now runs on Azure with automatic scaling and failover instead of a single point of failure, releases go out through an automated pipeline rather than by hand, and the team has a monitored, backed-up environment that can grow with the business instead of being tied to one physical server.

Project context

ClientKanila
RoleCloud infrastructure migration
SectorProfessional Services

As an engagement

This was a Cloud Computing build.

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