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TechnologyCloud Migration4 months

Cloud Migration & DevOps Implementation

Complete cloud migration from on-premises infrastructure to AWS, implementing DevOps practices that reduced deployment time by 90% and improved system reliability.

90%Faster Deploy
4 monthsTimeline
8+Technologies
Cloud Migration & DevOps Implementation
Mid-Market Technology Company
90%
Faster Deploy
CompletedJul 2024
Stack Size8 tools
Outcomes6 delivered
ClientMid-Market Technology Company
IndustryTechnology
Project StartMar 2024
CompletedJul 2024
Duration4 months
Executive Overview

Project Background & Objectives

Mid-Market Technology Company ran mission-critical applications on aging bare-metal servers in a leased data centre with an $380,000 annual co-location bill and a 73-person on-call rotation to manage the resulting fragility. Deployments required a 14-page manual runbook and were executed by a committee — average release cycle was 3 weeks. A single production incident in Q4 2023 caused 19 hours of downtime and ₹2.1 crore in direct revenue loss. Dristi Technologies executed a lift-optimise-and-modernise migration to AWS in 16 weeks, introduced GitOps-based CI/CD pipelines, and handed the team a self-service platform that deploys to production in under 8 minutes.

Most cloud migrations fail to deliver their promised ROI because they lift-and-shift without re-architecture. The real value is in the operational model change — when a developer can ship to production without filing a ticket, velocity compounds and culture transforms.

The Challenge

What Problem Were We Solving?

Mid-Market Technology Company's infrastructure had organically evolved over 11 years into 47 physical servers, 23 manual deployment scripts, and zero automated testing gates. Infrastructure as Code was non-existent — every change was a SSH session and a prayer. The mean time to recovery (MTTR) was 4.2 hours, and the team had experienced 14 unplanned outages in the previous 12 months. Three critical applications had undocumented interdependencies that had never been mapped, making any migration attempt high-risk without extensive discovery work first.

Mid-Market Technology Company's infrastructure had organically evolved over 11 years into 47 physical servers, 23 manual deployment scripts, and zero automated testing gates
Infrastructure as Code was non-existent — every change was a SSH session and a prayer
The mean time to recovery (MTTR) was 4
2 hours, and the team had experienced 14 unplanned outages in the previous 12 months
The Solution

How We Delivered Results

We began with a 3-week Discovery sprint — mapping all 47 servers, 340 network dependencies, and 23 deployment scripts into a single system-of-record. Application tiers were containerised with Docker and migrated to EKS (Kubernetes), with Terraform managing all infrastructure as code. Jenkins pipelines were replaced with GitHub Actions for a developer-native CI/CD experience. Prometheus and Grafana provided real-time observability from day one of cutover. A chaos engineering runbook was delivered alongside the platform, enabling the team to validate resilience proactively.

01
Infrastructure Discovery & Dependency Mapping

Mapped all 47 servers, 340 network dependencies, and undocumented application interdependencies using automated tooling before a single migration task began.

02
Containerisation & IaC Migration

Containerised all application tiers with Docker, wrote Terraform modules for every AWS resource, and established a GitOps workflow with environment-specific promotion gates.

03
CI/CD Pipeline & Observability Setup

Built GitHub Actions pipelines with automated testing gates, deployed Prometheus/Grafana for metrics, Loki for logs, and Jaeger for distributed tracing across all services.

04
Phased Cutover & Knowledge Transfer

Executed environment-by-environment cutover starting with dev/staging, then production, with a 45-day hypercare period and comprehensive runbook/documentation handover.


Technology Stack

Built With Industry-Leading Tools

Every technology was selected for its production readiness, scalability potential, and fit with Mid-Market Technology Company's long-term roadmap.

AWS
Docker
Kubernetes
Terraform
GitHub Actions
Prometheus
Grafana
Loki

Client Perspective

In Their Own Words

"

We'd been talking about moving to the cloud for four years. In four months, Dristi Technologies made it a reality. Our engineers no longer dread releases. We ship five times a week now. That change in developer confidence has been worth every rupee.

C
CTOTechnology Enterprise
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Project Snapshot
ClientMid-Market Technology Company
IndustryTechnology
Duration4 months
CategoryCloud Migration
CompletedJul 2024
Technologies8 Stack
Measurable Outcomes

Results That Speak for Themselves

Quantifiable impact delivered for Mid-Market Technology Company across every key performance dimension.

90
reduction in deployment time (3 weeks → 8 minutes average)
9
.9% system uptime in 12 months post-migration (up from 96.7%
70
reduction in infrastructure costs ($380K/yr → $114K/yr)
50
faster time-to-market for new product features

Full List of Outcomes

90% reduction in deployment time (3 weeks → 8 minutes average)
99.9% system uptime in 12 months post-migration (up from 96.7%)
70% reduction in infrastructure costs ($380K/yr → $114K/yr)
50% faster time-to-market for new product features
14 unplanned outages → 0 unplanned outages in first 6 months
MTTR reduced from 4.2 hours to 11 minutes
Our Methodology

How We Deliver Enterprise-Grade Projects

A proven four-phase framework that consistently delivers on time, on budget, and above expectations.

01

Discovery & Scoping

Stakeholder workshops, existing system audit, user research, and definition of success metrics with all key decision-makers.

02

Architecture & Design

System architecture blueprint, UX/UI wireframes, API contracts, and technology stack validation against scalability requirements.

03

Agile Development

Two-week sprint cycles with CI/CD pipelines, automated test coverage, and weekly demos to ensure continuous alignment.

04

Launch & Optimise

Zero-downtime deployment, real-user monitoring, performance tuning, and a dedicated hypercare period with SLA guarantees.