>

Cloud migration, cloud security and Snowflake.

Move from on-premise and legacy platforms to AWS, Azure or Google Cloud with a plan per application, secure it from day one, and modernise your data estate on Snowflake. Then we run it: 24/7 operations, FinOps and continuous security posture management.

MigrateOn-premise & legacy → cloud
SecureCSPM · IAM · zero trust
SnowflakeData platform migration
Run24/7 managed cloud · FinOps

What we build

  • Landing zone architecture
  • Migration patterns (rehost, replatform, refactor, replace)
  • Cloud security: CSPM, CNAPP, IAM, encryption, zero trust
  • Snowflake implementation and migration
  • FinOps and operational excellence (SRE, observability)
Why it matters now

Cloud spend is rising fast, and so is the cost of getting security wrong

Public cloud spending keeps growing at over 20% a year, driven by modernisation and AI. At the same time, the average breach now costs millions, and poorly controlled data movement during migrations is a known exposure. Migration and security have to be designed together.

US$4.99MGlobal average breach cost (IBM 2026)
21.3%Forecast public cloud growth in 2026 (Gartner)
11+Legacy sources SnowConvert AI converts to Snowflake
Worldwide public cloud end-user spending (US$ billion)$596B2024Gartner estimate$723B2025Forecast$878B2026+21.3% forecast$1,480B2029Projection
Source: Gartner: 2024–2025 forecast and 3Q25 update (21.3% growth in 2026, US$1.48T by 2029). The 2026 bar applies Gartner's growth rate to its 2025 figure.
Average cost of a data breach (US$ million)$4.99MGlobal2026$10.22MUnited States2025$7.42MHealthcare2025$2.51MIndia2025
Source: IBM Cost of a Data Breach Report 2026 (global) and 2025 report (US, healthcare, India).
Related services

Before and after the migration

Cloud rarely arrives on its own — these are the workstreams that usually run beside it.

What we do

Cloud, security and data services

Delivered end to end or as individual services, under our CMMI Level 3 process framework and ISO 27001 certified information security.

Cloud readiness & business case

Application and infrastructure discovery, dependency mapping, TCO and a migration decision per workload.

On-premise to cloud migration

Wave-planned migration of servers, databases and applications to AWS, Azure or Google Cloud, with rollback plans.

Legacy application modernisation

Replatform or refactor mainframe-era, .NET, Java and custom applications into containers and managed services.

Cloud security

Landing-zone guardrails, CSPM and CNAPP, identity and access management, key management, network segmentation and zero trust.

Snowflake migration

Move from Teradata, Oracle, SQL Server, Netezza, Redshift and others using SnowConvert AI, with data validation and BI repointing.

Snowflake data platform

Ingestion, modelling, governance, secure data sharing and AI on Snowflake, with cost controls.

FinOps

Tagging, rightsizing, reserved capacity, savings plans and anomaly alerts, reported monthly.

24/7 managed cloud

Monitoring, patching, backup, incident response, security posture reviews and SLO reporting.

How we deliver

A phase-gated approach, no surprises at go-live

Every phase ends in a documented decision and the evidence behind it — an artefact you own and can take elsewhere.

01

Discover

Inventory, dependencies, data classification and security baseline.

You receivePortfolio · Risk register
02

Decide

A migration pattern per workload, landing zone design and wave plan.

You receiveWave plan · Target architecture
03

Build foundations

Landing zone, identity, network, security tooling and pipelines.

You receiveSecure landing zone
04

Migrate in waves

Move, test, cut over and decommission, wave by wave.

You receiveWave reports · Decommission log
05

Operate & optimise

24/7 operations, FinOps and continuous security posture management.

You receiveSLO, cost and posture reports
Decision guide

Choosing a migration pattern per application

PatternWhat it meansBest forEffort
RetireSwitch off what nobody usesRedundant and duplicate applicationsLowest
RetainKeep on-premise for nowLow-value or hard-to-move systemsNone now
RehostLift and shift to cloud VMsFast exits from data centresLow
RelocateMove whole platforms, such as VMware, as they areLarge virtualised estatesLow
ReplatformSmall changes, e.g. managed databasesQuick wins in cost and operationsMedium
RepurchaseReplace with SaaSCommodity functions such as HR or CRMMedium
RefactorRe-architect as cloud-nativeCore systems that need scale and speedHighest

Based on the widely used '7 Rs' migration framework. We decide per workload after discovery.

Snowflake services

Snowflake migration, step by step

Every object is validated against the source before a single user is switched over.

01

Assess

Inventory objects, code, pipelines and BI; estimate conversion with SnowConvert AI reports.

02

Convert

Translate SQL and procedural code from Teradata, Oracle, SQL Server and others; fix the exceptions.

03

Move data

Historical and incremental loads, including open formats such as Iceberg tables where needed.

04

Validate

Compare source and target results object by object before any user switches.

05

Repoint & retire

Repoint BI and pipelines, run in parallel, then decommission the legacy warehouse.

SnowConvert AI is Snowflake's free migration tool; supported sources include Oracle, SQL Server, Teradata, Redshift, BigQuery, Greenplum, Sybase, Synapse, Netezza, PostgreSQL and Databricks SQL (Snowflake).

Cloud security

The controls we put in place

Security is designed into the landing zone before the first workload moves, then monitored around the clock.

LayerControls
IdentitySingle sign-on, MFA, least-privilege roles, privileged access management, access reviews
PostureCSPM and CNAPP scanning against CIS benchmarks, drift alerts, auto-remediation where safe
NetworkSegmentation, private endpoints, web application firewall, zero-trust access
DataClassification, encryption at rest and in transit, key management, data loss prevention
WorkloadsHardened images, vulnerability management, container and secrets scanning
Detection & responseCentralised logging, SIEM integration, 24/7 alert triage, incident runbooks
GovernanceISO 27001-aligned policies, audit evidence, cost and compliance reporting
Why it matters: poorly managed data movement during system upgrades, cloud adoption and AI projects is a known cause of exposure. We classify, encrypt and log data before anything moves.
Ways to work with us

Engagement models that fit the stage you are at

Engagement modelWhat you getTypical durationTypical commercial model
Advisory & roadmapAssessment, options, business case and roadmap4–8 weeksFixed price
End-to-end implementationDesign, build, migrate, test, train, go live, hypercare3–24 monthsFixed price or milestones
Migration factoryA dedicated team and tooling that migrates in planned wavesPer wavePer wave or time and materials
Managed servicesL1–L3 support, releases, monitoring, optional 24/7 cover1–5 yearsMonthly fee by service tier
Dedicated team / BOTPods that run your platform and can move in-house later12+ monthsMonthly per team

Durations are typical ranges; commercial terms are agreed per engagement.

Technology

Platforms and tools we work with

AreaPlatforms and tools
CloudAWS, Microsoft Azure, Google Cloud
DataSnowflake, SnowConvert AI, dbt, Airflow, Power BI, Tableau
SecurityCSPM/CNAPP tools, cloud-native security services, SIEM, key management
AutomationTerraform, Kubernetes, Docker, GitHub Actions, Azure DevOps
OperationsPrometheus, Grafana, ELK, ServiceNow ITOM
Our Thinking

Perspectives on Cloud Architecture

How enterprises are making cloud architecture decisions that age well — from multi-cloud strategy and cost governance to zero-trust security and high-velocity migration programmes.

☁️
Point of View

Multi-Cloud vs. Hybrid: Choosing the Right Architecture for Enterprise IT

Vendor lock-in fear drives many multi-cloud decisions — but multi-cloud introduces its own complexity costs. We lay out the decision framework that has shaped our most successful cloud architecture engagements.

More insights
💰
Insight

Cloud FinOps: Reducing AWS and Azure Spend Without Cutting Capability

Organisations routinely overspend on cloud by 25–40% due to idle resources, oversized instances, and untagged waste. The FinOps practices — tagging governance, reserved capacity planning, and rightsizing automation — that we apply on every engagement.

More insights
🔐
Whitepaper

Zero-Trust Security in Cloud-Native Architectures

Perimeter security is dead. Zero-trust — verify everything, trust nothing — is the architecture that cloud-native environments require. We describe the identity, network, and workload controls that define a mature zero-trust posture.

More insights
🚀
Case Study

Migration Velocity: Moving 200+ Applications to Cloud in 18 Months

A financial services group migrated 220 applications across three cloud providers in 18 months without a single P1 incident. The wave planning, dependency mapping, and automated testing frameworks that made it possible.

More insights
Questions we get

Before you ask

What does a cloud architecture and migration engagement actually cover?
It covers four things: a multi-account, multi-region landing zone with guardrails; a migration wave plan built on a 6 Rs assessment; FinOps controls for tagging, reserved instances and savings plans; and security and operations, meaning CSPM, IAM, observability and SRE practices. We work across AWS, Azure and GCP, single-cloud or multi-cloud where the added complexity earns its keep.
How do you decide between lift-and-shift, refactor and rebuild?
We score each application on the 6 Rs, that is retain, retire, rehost, replatform, refactor and repurchase, against business criticality, licence model, change velocity and technical debt. Stable, low-change workloads rehost first to clear the data centre. Applications that change weekly or need elastic scale justify refactoring. Rebuilding is reserved for systems already scheduled for replacement.
How long does a cloud migration take and what drives the cost?
A single application migration typically runs 4 to 12 weeks, while a portfolio of 100 or more applications usually takes 12 to 24 months in waves. Cost is driven by discovery and dependency mapping, the refactor share of the portfolio, parallel-run time across two platforms, and licence changes. Landing zone build is normally 6 to 10 weeks and precedes wave one.
What do you need from our team during a migration?
An application owner per workload, a named security and compliance reviewer, and access to your CMDB, network diagrams and billing accounts. We also need testing windows and a rollback decision maker for each wave. Our Discovery phase assesses current state and scopes the engagement, so most of your effort lands in validation and cutover approval rather than build.
How does cloud spend stay under control after migration?
Through FinOps discipline built in from the landing zone: tagging policies enforced at provisioning, cost allocation by team and product, rightsizing reviews, reserved instance and savings plan coverage targets, and anomaly detection alerts. Idle resources, oversized instances and untagged waste are the three largest sources of overspend, so each one becomes a monitored control rather than a quarterly clean-up.
How do we get started on a cloud programme?
With Discovery: we assess your current state, identify gaps and scope the engagement against your goals and constraints. That produces an application inventory, a 6 Rs disposition per workload, a landing zone design and a costed wave plan. Design and Build follows, backed by CMMI Level 3 process maturity and CI/CD delivery practices, then Run and Optimize.
How do you decide what to move to the cloud?
We inventory every application, map dependencies and choose a pattern per workload: retire, retain, rehost, relocate, replatform, repurchase or refactor.
How do you keep data secure during migration?
We classify data first, encrypt it in transit and at rest, restrict access to named roles, and log every transfer. Security guardrails are live in the landing zone before the first workload moves.
Can you migrate our data warehouse to Snowflake?
Yes. We migrate from Teradata, Oracle, SQL Server, Netezza, Redshift and others, using SnowConvert AI for code conversion and validating results before users switch.
Do you manage the cloud after migration?
Yes: 24/7 monitoring, patching, backup, incident response, FinOps reporting and security posture management.

Let's build what's next — together.

Whether it's setting up your India GCC, modernizing your enterprise stack, or hiring 50 engineers in 30 days — we'd love to scope it with you.