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Cloud migration
Move workloads to AWS, Azure or Google Cloud with a plan you can audit.
- Every server, app and dependency mapped first
- Moves in waves, each with a way back
- Accounts, network and access set up before anything moves
- Home
- Solutions
Cloud consulting services in India · AWS · Microsoft Azure · Google Cloud Build it, run it, and spend less on it.
Our cloud consulting services cover migration, DevOps, AI, extra engineers for your team, day-to-day operations, security, backup and cost control, from one team of certified cloud engineers in India. You keep the access, the runbooks and the savings.
- 275+workloads migrated
- 265+cloud environments managed
- 30+certified cloud engineers
As of October 2026
Cloud migrationDevOps & CI/CD automationGenerative AI & dataResource augmentationManaged cloud servicesCloud security & complianceBackup & disaster recoveryCloud cost optimisation (FinOps)
BuildCloud migrationMove workloads to AWS, Azure or Google Cloud with a plan you can audit.
A · Bento: Cloud migration as the large dark card (it’s where most clients start), with a small before/after of servers moving to the cloud. The other seven around it, each with what we do and a link to its page.
In short
DevOps TechLab provides cloud consulting services in India for AWS, Azure and Google Cloud: migration, DevOps, AI, managed cloud, security, backup and cost control, from one certified team. You keep your accounts, your data and every runbook.
ISO 27001 · SOC 2 · Working with companies across India and abroad from Ahmedabad, in IST
The eight services
From the first move to the monthly bill.
Grouped the way the work happens: build it, run it, then keep the spend in check. Start with one service or hand us all eight. The same engineers stay with you either way.
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DevOps & CI/CD automation
Pipelines that test and ship on every merge.
- CI/CD pipelines on GitHub, GitLab or Azure DevOps
- Infrastructure written as code
- Containers and Kubernetes where they help
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Generative AI & data
AI assistants and search built on your own data.
- Assistants and search over your own documents
- Data pipelines and a clean store to build on
- Built on Amazon Bedrock, Azure OpenAI or Vertex AI
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Resource augmentation
Certified cloud and DevOps engineers who join your team.
- One specialist or a full pod
- Certified on AWS, Azure and Google Cloud
- Scale up or down as you need
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Managed cloud services
One owner per system, and runbooks you keep.
- Alerts routed to a named engineer
- Patching, backups and access reviews on a schedule
- Runbooks written down and handed to you
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Cloud security & compliance
Guardrails and audit readiness for ISO 27001, SOC 2 and PCI DSS.
- Security assessment and hardening
- Readiness for ISO 27001, SOC 2 and PCI DSS
- Evidence collected as you go, not the week before
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Backup & disaster recovery
Restores tested on a schedule, not assumed.
- Backups for servers, databases and Microsoft 365
- Recovery targets agreed for each system
- Restore tests on a schedule, with a report
Spend08 / 08
Cloud cost optimisation (FinOps)
Find why the bill went up, fix it, and keep it down.
- Idle and oversized resources fixed
- Tags, budgets and showback by team
- Savings Plans and commitments advice
Not sure which you need?
Book a 20-minute review. An engineer looks at your setup and tells you which of the eight to start with, in writing.
Book a 20-minute review →B · Tick what sounds familiar: 24 warning signs, three per service, in one list. Visitors tick the ones that apply and the panel ranks the services that fit, best match first. Interactive and a little bit fun; the ticked signs can go into the lead form message later.
Where to start
Not sure which service? Start with what’s going wrong.
Most teams come to us with a problem, not a service name. Pick the one that sounds like you and see where we’d start and what you’d get first.
Tick everything that sounds familiar
0
Tick a few signs and we’ll show which services fit, best match first.
E · Example project plan: a 12-week plan for an example 40-server migration, drawn as bars on a timeline with milestones. Makes the four steps concrete. Clearly labelled as an example; real plans come after the assessment.
How an engagement runs
Four steps. No surprises in any of them.
Every service follows the same path: we look first, agree the plan in writing, do the work in small steps, then stay on or hand over. You always keep your accounts, your access and the runbooks.
Example project
Moving 40 servers to AWS
W1W2W3W4W5W6W7W8W9W10W11W12
AssessReview
PlanPlan
DeliverDelivery in waves
RunRun
MilestonesAssessment reportPlan signed offWave 1 liveWave 2 liveAll movedFirst monthly report
Weeks 3–10 run in waves: a few servers at a time, each tested and reversible, with changes in agreed windows.
- Your accountsEverything runs in cloud accounts you own.
- Your accessWe work with named, logged access you can remove.
- Your runbooksWritten down as we go and handed to you.
A · Three cloud cards: one card per cloud with its partner badge on a white well, the exact credential wording, what we do there and the services we use most. A strip underneath covers credits and links to the Productivity partners.
Clouds and credentials
AWS, Azure or Google Cloud. Certified on all three.
We don’t push one cloud. We work where your workloads already are, or recommend the best fit and explain why. The same eight services, run by engineers certified on each platform.
AWS Advanced Tier Services PartnerAWS
Our deepest bench. Landing zones, migrations, containers and generative AI on Amazon Bedrock.
What we use most
- EC2
- RDS
- EKS
- Lambda
- Amazon Bedrock
- CloudWatch
Microsoft Solutions Partner for Cloud and AI PlatformsMicrosoft Azure
For teams already on Microsoft 365 and Entra ID. Windows and SQL workloads, AKS and Azure OpenAI.
What we use most
- Virtual Machines
- Azure SQL
- AKS
- Azure OpenAI
- Entra ID
- Azure Monitor
Google Cloud PartnerGoogle Cloud
For data and analytics-heavy teams and Google Workspace users. GKE, BigQuery and Vertex AI.
What we use most
- Compute Engine
- Cloud SQL
- GKE
- BigQuery
- Vertex AI
- Cloud Monitoring
Credits and partner funding: where you qualify, we help you apply for cloud credits and partner programmes. Eligibility is set by each provider.
Also partners for workplace tools: Microsoft 365, Google Workspace, Zoho, Adobe and Apple. See Productivity →
A · Numbers + story rail: the five team numbers count up in a band, then the eight stories sit in a sideways rail (one per service) that you drag, swipe or move with the arrows. Each card: service, industry, big result, the problem and before/after bars.
Proof
Less talk. More proof.
The numbers behind the team, and what changed for a few clients. Ask and we’ll introduce you to one in your industry, with their consent.
- 275+workloads migrated
- 265+cloud environments managed
- 30+certified cloud engineers
- 70+startups helped with cloud credits
- 12partner credentials
As of October 2026
Cloud migration
Gamerji · Gaming
36%
From AWS to Azure in 3 weeks, with a 36% lower cloud bill
Gamerji wanted a lower monthly cloud bill. We moved its platform to Azure and its MongoDB databases to Azure DocumentDB, with one short planned switch-over.
Read the case studyCloud cost optimisation (FinOps)
SMB on AWS · Production workload
25–35%
Security, monitoring and backups fixed, and the AWS bill about 25–35% lower
Rising cloud costs, limited security controls, little visibility into system health and inconsistent backups.
Reserved Instances for steady workloads, development servers off after hours, storage lifecycle rules, plus CloudWatch alarms, CloudTrail and automated backups.
Read the case studyGenerative AI & data
EasyGift for Arham Technosoft · Corporate gifting
854
An AI gifting platform that turns a request into an on-budget quote in minutes
Clients asked in plain language, such as “premium gifts under ₹750”, and keyword search across 854 products missed good options.
Natural-language and photo search on Amazon Bedrock with the budget as a hard filter, a hamper builder and branded PDF quotes; it runs at roughly US$90–130 a month.
Read the case studyResource augmentation
High-growth SaaS company · Software & IT
+4
A four-engineer cloud team for 12 months, without growing permanent headcount
The company was growing fast across several cloud environments and customer workloads, and needed engineers quickly without hiring permanently.
Four engineers (AWS, Azure, DevOps and cloud support) joined as an extension of the team: CI/CD, production deployments, monitoring, backup and recovery support, and incident resolution.
Read the case studyManaged cloud services
Devine Globe · Web application
1 yr
A production environment that is watched, backed up and logged
The application had outgrown managed hosting, with limited visibility, no structured monitoring and backup risks.
A dedicated AWS environment with CloudWatch alarms and email alerts, RDS backups kept 30 days and CloudTrail audit logs kept a year.
Read the case studyBackup & disaster recovery
Dynawiild Engineering · Manufacturing
Off site
Business data copied to Amazon S3 automatically, for disaster recovery
Critical business data lived only on office systems, with no reliable, automatic off-site copy.
Automatic sync to Amazon S3 with versioning, lifecycle rules to S3 Glacier, encryption and IAM policies, and training for the client’s team.
Read the case studyFAQ · Microsoft 365 page style: topics on the left with counts, questions open and close on the right.
FAQ
Questions teams ask before they call us.
Straight answers on where to start, what it costs, who owns what, and how we work with your team.
Book the 20-minute review. An engineer looks at your setup, names the biggest risks and costs, and tells you which service to start with. No sales deck and no obligation to go ahead.
The assessment usually takes one to two weeks and the plan about a week. Delivery starts once you sign off the plan, and its length depends on the scope.
Yes. Most clients start with one, often a migration, a cost review or a security check, and add others later. The same engineers stay with you either way.
We work with startups, software firms, lenders and product teams, from a first cloud account to hundreds of workloads. We’ve helped more than 70 startups with cloud credits.
After the assessment you get a written plan with the scope, timeline and a fixed quote for the project. Ongoing management is priced month by month, agreed in the same plan.
The 20-minute review is free. If the full assessment is charged, we tell you the cost before it starts.
The plan states the term before you sign. Managed services run month by month, and if you decide to run things yourselves we hand over properly.
Where you qualify, we help you apply for cloud credits and partner programmes from AWS, Microsoft and Google Cloud. Eligibility is set by each provider.
You do. Everything runs in cloud accounts you own, and the runbooks we write are handed to you.
Read-only access for the assessment. After that, named and logged access for each engineer, which you can remove at any time.
You keep your accounts, your data and every runbook. We walk your team through the handover and our access is removed.
We get you ready: a gap check, fixes to access and logging, and evidence collected as you go. The audit itself is done by an independent auditor.
No. We work alongside your team, or act as your cloud team if you don’t have one. You decide who owns what, and it’s written down in the plan.
We move in waves, a few systems at a time. Each wave is tested, has a way back, and happens in a change window you approve.
You get a short update every week during delivery. Once we’re running things, you get a monthly report and a monthly review call.
We don’t push one. We work where your workloads already are, or recommend AWS, Azure or Google Cloud with the reasons in writing. We’re partners with all three.
Yes. We can run workloads across more than one cloud, or alongside servers you keep on premises.
Yes. We license, move and manage Microsoft 365, Google Workspace, Zoho, Adobe and Apple for business. See our Productivity pages.
Keep exploring
Proof and guides for every service
- Case studyAWS to Azure migration case studyGamerji moved in 3 weeks and cut its monthly cloud bill by 36%.
- Case studyAWS cost optimization case studyBetter security and backups, and an AWS bill about 25–35% lower.
- Case studyConversational AI agent case studyChatwit: an agent that investigates why sales changed.
- GuideThe 7 Rs of cloud migrationRetire, rehost, replatform or refactor: how to decide app by app.
- CalculatorCloud cost savings calculatorEstimate how much your AWS, Azure or Google Cloud bill could drop.
- Case studiesAll client case studiesAI, migrations, cost, security and backup work for real clients.
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.