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Migrate & modernise · AWS · Microsoft Azure · Google Cloud

Move to the cloud. Modernise what you move.

We migrate your servers, apps and databases to AWS, Microsoft Azure or Google Cloud in planned waves, with a way back at every step. Then we modernise what holds you back: hard-to-change apps, costly database licences and data you can’t use. Many projects qualify for cloud funding, and we check yours for free.

Book a free assessment Check your funding
  • 165+Migration projects delivered
  • 1,245+Workloads moved to the cloud
  • 3 days–3 monthsTypical project length, depending on your environment

Why companies stay stuck

What’s keeping you on legacy?

Most teams know the old setup costs too much. What stops them is the risk of moving. Here’s what we hear most, and what we do about it.

Talk it through with an engineer

A renewal is coming

VMware, hardware or a data-centre lease renews soon, and the quote went up.

What we do

We plan the move around the date, so you leave before paying for another term.

Licence bills keep rising

Oracle, SQL Server and VMware cost more every year, for the same work.

What we do

We check which licences you can reuse, drop or replace with open-source engines that do the same job.

Apps that are hard to change

One large codebase, an old runtime, and releases nobody wants to touch.

What we do

We modernise step by step, with automated builds and tests, and no risky full rewrite.

A database everyone is afraid of

It runs the business, it’s getting slow, and one person knows how it works.

What we do

We map it, test the conversion first, and keep old and new in sync until the switch.

Data you can’t use

Reports take days, numbers don’t match, and AI projects stall on messy data.

What we do

We build pipelines and one central warehouse, so reports refresh on their own and data is ready for AI.

Fear of downtime

The business can’t stop, so the move keeps slipping to next quarter.

What we do

Systems are copied and kept in sync first. The switch happens in a planned window, with the old system kept on as the way back.

What we do

Four ways forward. One team for all of them.

Start with one, or combine them. Most projects move first, then modernise the parts that pay back fastest. Pick an area to see every service and the cloud tools we use.

Book a free assessment
01 · Cloud migration

Move what you run, in planned waves.

Move servers, VMware, Windows workloads, Tally, file servers and websites to AWS, Azure or Google Cloud in planned waves. Every workload gets one of the 7 Rs, so nothing moves without a reason.

RetireRetainRehostRelocateReplatformRepurchaseRefactor
Assessment and cost comparisonAn inventory, dependency map and a cost comparison in rupees, including licences and funding.
Landing zoneAccounts, network, identity, security and logging set up before the first server moves.
Rehost and replatformServers move as they are, or with small changes such as a managed database or a newer OS.
VMware movesVMs move as a group to a VMware service in the cloud, or one by one and right-sized.
Windows, Tally and file serversThe same logins and shared folders, now reachable from every branch and from home.
Cutover and hypercareA runbook for every switch-over, a way back, and a close watch in the weeks after.
Tools we use
AWS
  • AWS Application Migration Service
  • AWS Database Migration Service
  • AWS Control Tower
  • Amazon EC2
Microsoft Azure
  • Azure Migrate
  • Azure Site Recovery
  • Azure VMware Solution
  • Azure landing zones
Google Cloud
  • Migration Center
  • Migrate to Virtual Machines
  • Google Cloud VMware Engine
  • Compute Engine
02 · Application modernisation

Apps that release often and scale on demand.

Turn hard-to-change apps into ones that release often, scale on demand and cost less to run. We modernise step by step while the old app keeps running, so there’s never a risky big-bang rewrite.

AssessPrioritiseDecoupleAutomateOptimise
Containers and KubernetesApps packaged in containers and run on managed Kubernetes or container services.
ServerlessScheduled jobs, APIs and event handling moved to services that run only when needed.
Breaking up large appsFeatures peeled off one at a time behind the same front door, until the old core can retire.
CI/CD pipelinesAutomated builds, tests and deployments, so releases are small, frequent and reversible.
Infrastructure as codeEvery environment defined in Terraform or native templates, reviewed and repeatable.
Runtime upgradesOut-of-support .NET, Java, PHP or Node.js versions brought up to date and patched.
Tools we use
AWS
  • Amazon ECS
  • Amazon EKS
  • AWS Lambda
  • AWS CodePipeline
Microsoft Azure
  • Azure Kubernetes Service
  • Azure App Service
  • Azure Functions
  • Azure DevOps
Google Cloud
  • Google Kubernetes Engine
  • Cloud Run
  • Cloud Build
  • Artifact Registry
03 · Database modernisation

Managed databases, fewer licences, no surprises.

Move databases to managed services, and off costly licences where it makes sense, without losing data. We test the conversion first, keep old and new in sync, and switch over in a short, planned window.

MapTestSizeRecommendMigrateValidate
Managed database movesSQL Server, MySQL, PostgreSQL and Oracle moved to managed services with backups and failover built in.
Off costly licencesOracle and SQL Server moved to PostgreSQL or MySQL where it makes sense, so you stop renewing licences.
Schema and code conversionTables, stored procedures and functions converted, with anything that needs hand work flagged early.
Continuous syncChanges copy from old to new until cutover, so the final switch is quick.
ValidationRow counts and checksums compared before sign-off. The old database stays on as the way back.
Performance tuningIndexes, queries and sizes tuned on the new engine against your real workload.
Tools we use
AWS
  • Amazon RDS
  • Amazon Aurora
  • AWS DMS
  • DMS Schema Conversion
Microsoft Azure
  • Azure SQL
  • Azure Database for PostgreSQL
  • Azure Database for MySQL
  • Azure Database Migration Service
Google Cloud
  • Cloud SQL
  • AlloyDB
  • Database Migration Service
04 · Data and analytics

One place for your data, ready for reports and AI.

Bring data from every system into one place, so reports are trusted and AI projects have something to build on. We connect your systems, clean the data on the way in and give your team dashboards it trusts.

IngestStoreTransformReportGovern
Data pipelinesData from your ERP, CRM, apps and files pulled in on a schedule or close to real time.
Cloud data warehouseOne central store, sized and priced for how much you query.
Dashboards and reportsReports that refresh on their own, in the BI tool your team already uses.
Data quality and governanceChecks, access controls and a catalogue, so people know which numbers to trust.
AI-ready foundationsClean, documented data that AI and machine-learning projects can build on.
Data kept in IndiaWarehouses, lakes and backups placed in Indian cloud regions.
Tools we use
AWS
  • AWS Glue
  • Amazon Redshift
  • Amazon Athena
  • Amazon QuickSight
Microsoft Azure
  • Azure Data Factory
  • Microsoft Fabric
  • Power BI
Google Cloud
  • BigQuery
  • Dataflow
  • Looker

We pick tools for your setup. These are the ones we use most.

The business case

What changes when you move and modernise.

The free assessment puts numbers on each of these for your setup, in rupees. Here’s what they usually come down to.

Stop paying for hardware you’ll replace anyway.

No more refresh cycles, AMCs, spare parts, power and cooling. You pay a monthly bill for what you use, and we right-size it after the move.

TodayA large hardware refresh every few years
AfterA monthly bill you can see and cut

Fewer licences

Reuse eligible Windows Server and SQL Server licences, or move to open-source databases and stop renewing the expensive ones.

Release faster

Automated builds, tests and deployments turn big quarterly releases into small, frequent ones, with less risk each time.

Built to stay up

Backups tested on a schedule, failover across zones and a recovery region in India. Recovery plans that are tested, not just written down.

Scale when you need it

Sale days, month-end and audits get more capacity automatically, then it scales back down.

Ready for AI and analytics

Clean, connected data in the cloud is the first thing AI and reporting projects need.

See your own numbers.

The free assessment compares what you spend today with a right-sized cloud estimate.

Book a free assessment

Risks we take off your plate

Migrations rarely fail on technology. They fail on surprises.

We plan for the things that go wrong in other projects, before they happen to yours.

The riskHidden dependencies
How we prevent it

Discovery maps every server, app and connection before anything moves, so nothing breaks because it was missed.

The riskDowntime in working hours
How we prevent it

Data is kept in sync and the switch happens in a planned window, usually outside working hours.

The riskA big-bang rewrite that never ends
How we prevent it

We modernise one piece at a time while the old app keeps running, and deliver something useful at every step.

The riskData lost or out of step
How we prevent it

Row counts and checksums are compared before cutover, and the old database stays on as the way back.

The riskA cloud bill that creeps up
How we prevent it

Sizes are tuned to real use after the move, with budgets, alerts and a monthly cost review.

The riskA team that can’t run it
How we prevent it

You get runbooks, diagrams and training. Managed services are an option, not a condition.

Every wave has a way back. The old system stays switched on until you sign off, so a failed test means a delay, not an outage.

Book a free assessment

How we work

Five stages, from first call to a cloud you run.

The same method on AWS, Azure and Google Cloud. Most projects take 3 days to 3 months, depending on your environment.

Start with the free assessment
  1. Stage 01 · Know what you have

    Assess

    We find out what you run, how it connects and what it costs today, before anyone talks about moving.

    What happens
    1. 1.1A kick-off call with whoever knows your systems
    2. 1.2Read-only discovery, or a guided questionnaire if you prefer
    3. 1.3Servers, apps, databases and their dependencies mapped
    4. 1.4Today’s costs priced against a right-sized cloud estimate
    5. 1.5A check of the AWS, Microsoft and Google funding you could get
    You get
    • Inventory and dependency map
    • Cost comparison in rupees, with GST
    • Funding check
    Your part

    An hour with whoever knows your systems, and read-only access or answers to the questionnaire.

    Way back

    Nothing changes on your side. You keep the report either way.

  2. Stage 02 · Decide app by app

    Plan

    Every workload gets a route and a slot, and we agree the cloud, the region and the dates with you.

    What happens
    1. 2.1A route for every workload: retire, keep, move as it is, tune or rebuild
    2. 2.2The cloud and Indian region chosen, with the reasons written down
    3. 2.3Systems grouped into waves, least critical first
    4. 2.4Switch-over windows agreed outside working hours
    5. 2.5The landing zone designed, and the funding application prepared
    You get
    • Wave plan with dates
    • Target design
    • A rollback plan for every wave
    • Funding application
    Your part

    Agree the dates, and name who signs off each wave.

    Way back

    Nothing has moved yet. Change the plan as often as you need.

  3. Stage 03 · Move in waves, with a way back

    Migrate

    We build the cloud first, then move each wave while the old systems keep running.

    What happens
    1. 3.1Landing zone built: accounts, network, logins, security, logging and backups
    2. 3.2Each wave copied and kept in sync with the old system
    3. 3.3Your team tests the tasks it does every day
    4. 3.4Switch-over in the agreed window, with a go or no-go check
    5. 3.5A close watch on speed and errors after each wave
    You get
    • Systems running in the cloud, signed off by you
    • A runbook for every switch-over
    • Test results for every wave
    Your part

    Test each wave and give the go-ahead.

    Way back

    The old system stays switched on until you sign off. If a test fails, we switch back.

  4. Stage 04 · Improve what holds you back

    Modernise

    Once systems run in the cloud, we modernise the parts that pay back fastest, one piece at a time.

    What happens
    1. 4.1Apps moved to containers or serverless where it pays
    2. 4.2Automated builds, tests and deployments (CI/CD) and infrastructure as code
    3. 4.3Databases moved to managed or open-source engines, kept in sync until the switch
    4. 4.4Data pipelines and a central warehouse for reports and AI
    5. 4.5Out-of-support runtimes upgraded and patched
    You get
    • Faster, smaller releases
    • Lower licence and running costs
    • Dashboards that refresh on their own
    Your part

    Help us decide what to modernise first, and review each release.

    Way back

    The old app keeps running until each new piece is signed off. No big-bang rewrite.

  5. Stage 05 · A cloud your team can run

    Run and optimise

    We stay close after the move, keep the bill in shape and hand over everything you need.

    What happens
    1. 5.1Sizes tuned to real use, and idle resources switched off
    2. 5.2Budgets and alerts so the bill never surprises you
    3. 5.3A monthly cost review with you, in rupees
    4. 5.4Monitoring, patching and backups, by your team or as a managed service
    5. 5.5Runbooks, diagrams and training handed over
    You get
    • A monthly cost report
    • Runbooks, diagrams and training
    • Managed services if you want them, as an option, not a condition
    Your part

    Name who owns the cloud on your side.

    Way back

    Everything is written down, so you’re never tied to us.

Cloud funding

AWS, Microsoft or Google may pay for part of it.

Each cloud runs programmes that can fund assessments, migration work and credits. We check what you qualify for and apply with you.

AWS

Migration Acceleration Program (MAP)

  • Funding for the assessment and planning
  • Credits towards the migration
  • Support for partner-led delivery
Microsoft

Azure migration and modernisation funding

  • Funded assessments
  • Delivery funding through partners
  • Azure credits for the move
Google Cloud

Rapid Migration and Modernization Program (RaMP)

  • An assessment of your estate
  • Funding and credits for the move
  • Help planning the migration

We’ve secured this funding for many clients. Funding is decided by AWS, Microsoft or Google for each project, depends on their programme rules and is subject to approval.

Check what we qualify for

Proof

165+ migrations. Here’s what they look like.

From a single Tally server moved in a weekend to a server room emptied in waves, with apps and databases modernised along the way.

Ask about a project like yours
  • 165+migration projects
  • 1,245+workloads moved
  • 3 days–3 monthsdepending on your environment
  • Manyclients with cloud funding secured
Sample
Manufacturer · Gujarat

A VMware cluster moved before the renewal

38 VMs on VMwareAWS · Mumbai

  • Time5 weeks
  • Waves3
  • VMware renewalAvoided
Sample
SaaS company · Bengaluru

A large app split into containers, one feature at a time

One large appContainers on Kubernetes

  • ReleasesWeekly, was quarterly
  • Old appRetired after sign-off
  • Customer downtimeNone
Sample
Diagnostics lab · Pune

SQL Server moved to a managed database

SQL Server on one serverAzure · Central India

  • CutoverUnder an hour
  • FailoverBuilt in
  • Weekend patchingStopped

Stories marked “Sample” show the format only. We’ll replace them with real projects once clients approve them.

AWS Advanced Tier Services Partner badge

AWS Advanced Tier Services PartnerAlso: AWS Partner with SMB Competency

Microsoft Solutions Partner for Cloud and AI Platforms badge

Microsoft Solutions Partner for Cloud and AI PlatformsAlso: Infrastructure (Azure)

Google Cloud Partner badge

Google Cloud Partner

Why DevOps TechLab

Engineers who plan the move, and stay after it.

One team for migration, apps, databases and data, on all three clouds.

Meet a migration engineer
What it often looks likeWith DevOps TechLab
Which cloudOften tied to one providerPartners with AWS, Microsoft and Google; we recommend one with reasons
Who you talk toA sales team first, engineers laterThe engineers who assess your setup move it
Where data livesRegion chosen by defaultIndian regions with a region lock
If a test failsA rushed fix on the nightThe old system stays on; we switch back
FundingLeft for you to findWe check every programme and apply with you
CostA price for serversMove and run costs in rupees, with GST, before you commit
After the moveHand-off and goodbyeClose watch after each wave, then monthly cost reviews
DocumentationKept by the vendorRunbooks, diagrams and training you keep

FAQ

Questions we hear before every move.

Straight answers on time, risk, apps, data and cost. If yours isn’t here, ask us and a migration engineer will reply.

Ask a question

From 3 days to 3 months, depending on how many systems you run and how they connect. A single Tally server can move in a weekend; a server room moves in waves over weeks. The free assessment gives you the real dates.

Usually only a short window, planned outside working hours. Systems are copied and kept in sync first, so the switch itself is quick.

We switch back. The old system stays running until you sign off, so a failed test means a delay, not an outage.

We’re partners with AWS, Microsoft Azure and Google Cloud, so we have no reason to push one. The free assessment compares cost, services, Indian regions and funding, then recommends one with the reasons written down.

Free migration & modernisation assessment

Know what to move, what to modernise and what it costs.

A migration engineer reviews your setup and gives you a written report. No fee and no obligation to move with us.

  1. 01DiscoveryRead-only discovery or a short questionnaire. Nothing changes on your side.
  2. 02A route for every workloadMove as it is, tune, modernise, keep or retire, with the reasons.
  3. 03Costs in rupeesToday’s spend next to a right-sized cloud estimate, with GST.
  4. 04Funding and roadmapThe programmes you qualify for and a wave plan with a way back.