Case studies
Work we’re proud of. Built for real clients.
AI platforms on Amazon Bedrock, migrations to AWS and Azure, lower bills, safer backups and engineers who join your team. What we built, how, and what changed.
- 15client stories
- 8AI solutions on Amazon Bedrock
- Up to 36%lower monthly cloud bill
- US$90–130a month to run an AI platform
DevOps TechLab's 15 client stories cover AI on Amazon Bedrock, migrations to AWS and Azure, cost and security work, backup and resource augmentation. Each story shows what we built, how, and what changed. Results include a monthly cloud bill up to 36% lower and an AI platform that costs US$90–130 a month to run.
ISO 27001 · SOC 2 · Working with companies across India and abroad from Ahmedabad, in IST
At a glance: Cloud & AI Case Studies from India
- Stories
- 15 client stories: 8 AI & GenAI, 2 migration, 1 cost & security, 1 backup & DR, 3 resource augmentation
- AI platforms
- 8 AI solutions on Amazon Bedrock; an AI platform runs for US$90–130 a month
- Cost result
- Gamerji moved from AWS to Azure in 3 weeks: 36% lower monthly bill, US$4,374 saved a month
- SMB on AWS
- Security, monitoring and backups improved, with the AWS bill about 25–35% lower
- Backup result
- Devine Globe moved to AWS with 30-day database backups and 1-year audit log retention
- Engineers
- 2 to 4 engineers joined client teams for 9 to 12 months, on AWS, Azure or both
15 stories
From AWS to Azure in 3 weeks, with a 36% lower cloud bill
AWS plus a separate MongoDB bill moved to Azure and Azure DocumentDB.
- 36%lower monthly bill
- US$4,374saved a month
An AI gifting platform that turns a request into an on-budget quote in minutes
Search by words or by photo across 854 products, build budget-true hampers and export branded PDF quotes.
- 854products embedded
- 12vendors
AWS infrastructure, security and cost optimisation for an SMB workload
Better security, monitoring and backups, and an AWS bill about 25–35% lower.
- 25–35%lower AWS cost
- Well-Architectedaligned
From managed hosting to a secure, production-ready AWS environment
A dedicated AWS production environment with backups, audit logs, monitoring and GitLab CI/CD.
- 30-daydatabase backups
- 1-yearaudit log retention
AI quote and proposal automation for corporate gifting
Customer requirements become budget-compliant recommendations and branded quotations within minutes.
- Minutesfrom request to quote
- Serverlessno AI servers to run
Visual product search: upload a photo, get similar products in seconds
Customers send photos instead of product names; the platform finds visually similar products.
- Secondsto visual matches
- Photosearch by image
Semantic product discovery: search the catalogue the way customers talk
Natural-language search that understands intent, with budget-aware recommendations.
- Secondsto relevant products
- Plain languagesearch by intent
Conversational AI agent that investigates sales performance
Ask why sales changed; the agent plans, queries and explains, with follow-up questions.
Client storyRead the story →AI agent that finds unusual operational changes and their likely causes
Operational questions in plain language; data-backed answers without writing SQL.
Client storyRead the story →Autonomous BI agent that explains what drives revenue
Business questions answered through multi-step, evidence-based analysis.
Client storyRead the story →AI agent that investigates property and booking performance
Why did bookings drop? The agent explores the data and shows its evidence.
Client storyRead the story →S3automatic off-site copiesBackup & DRAWSDynawiild EngineeringManufacturingBusiness data copied to Amazon S3 automatically, for disaster recovery
Automatic, encrypted off-site copies with versions and a Glacier archive.
- Automaticoff-site sync
- Versionedearlier copies kept
Cloud infrastructure and DevOps engineers for a healthcare technology company
Three AWS, DevOps and cloud support engineers joined a healthcare platform team for 12 months, without a long hiring process.
- 3engineers
- 12 monthsengagement
Cloud and infrastructure engineering support for a manufacturing enterprise
An Azure cloud engineer and a DevOps engineer joined a manufacturer’s IT team for a 9-month cloud modernisation project.
- 2engineers
- 9 monthsengagement
An on-demand cloud engineering team for a growing SaaS company
Four AWS, Azure, DevOps and cloud support engineers worked as an extension of a fast-growing SaaS team for 12 months, used as the workload needed.
- 4engineers
- 12 monthsengagement
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FAQ
Questions about our case studies
There are 15 client stories. Eight are AI and generative AI solutions on Amazon Bedrock, and three cover resource augmentation. Two are migrations, one covers cost and security, and one covers backup and disaster recovery.
Gamerji's monthly cloud bill fell 36% after moving from AWS to Azure, saving US$4,374 a month. An SMB running production workloads on AWS cut its AWS costs by about 25–35% after a cost and security review.
EasyGift, an AI gifting platform built on Amazon Bedrock, runs for about US$90–130 a month. It searches 854 products from 12 vendors by text or photo and produces branded PDF quotes.
Most stories are built on AWS, including all eight AI solutions on Amazon Bedrock. Gamerji moved from AWS to Azure, the manufacturing enterprise worked on Azure, and the SaaS company's engineers covered both AWS and Azure.
Yes. Three stories show this. A healthcare technology company had three engineers for 12 months, and a manufacturing enterprise had two for nine months. A SaaS company had four for 12 months.
Talk to an engineer
Start with a 20-minute review. Leave with a plan.
An engineer looks at your current setup, points out what’s costing you money or risk, and tells you what we’d fix first. No sales deck, no obligation to go ahead.
Every month you wait, the bill grows, the audit gets harder and the AI project waits another quarter.







