AWS Consulting Services for Products That Stay Up

AWS, Run Like You Mean It.

AWS is where most of our production work runs: screening platforms, lending journeys, service platforms and product backends that have to stay up through month-end and a marketing campaign at once. We build on it the way its own well-architected guidance says to — and the way an auditor, a finance team and an on-call engineer can all live with.

Our AWS consulting services cover architecture and migration, containers and serverless, data platforms, security and compliance, and the operations and FinOps that keep the platform reliable and the bill explicable.

Let’s talk AWS

Engineering services

Platform Work, Done Properly.

From a multi-account foundation to the serverless pipeline that screens a payment in milliseconds, our AWS consulting services cover the platform our own products run on.

01

Architecture & Migration

Multi-account foundations with Organizations and Control Tower, network and identity designed before the first workload, and migrations in waves — rehost, replatform or refactor per application — with database replication, rehearsed cutovers and rollback plans, following the well-architected pillars rather than citing them.

Organizations and Control TowerNetwork and identity foundationsWave-based migrationRehearsed cutovers and rollback
Cloud Engineering

02

Containers & Serverless

ECS and EKS for services that need a runtime, Lambda and Step Functions for event-driven work, API Gateway and EventBridge between them — chosen per workload for cost and operability, with autoscaling, blue-green deployments and the observability to know which is which.

ECS, EKS and FargateLambda, Step Functions and EventBridgeBlue-green and canary deploymentsAutoscaling by real metrics
Cloud Engineering

03

Data Platforms on AWS

RDS and Aurora PostgreSQL run properly — backups, replicas, parameter tuning — S3 data lakes with Glue and Athena, Redshift or a lakehouse where analytics demands it, and streaming with Kinesis or MSK for the real-time screening and monitoring work our FinTech clients run.

RDS and Aurora PostgreSQLS3 lakes with Glue and AthenaKinesis and MSK streamingRedshift and lakehouse patterns
Data Engineering

04

Security & Compliance

IAM designed for least privilege, KMS and customer-managed keys, GuardDuty, Security Hub and Config, private networking and WAF — with the evidence mapped to ISO/IEC 27001 controls and the regulatory regimes screening and lending platforms answer to, so the audit is a report, not a project.

Least-privilege IAMKMS and customer-managed keysGuardDuty, Security Hub and ConfigISO/IEC 27001 control mapping
Cloud Engineering

05

Operations & FinOps

CloudWatch and OpenTelemetry observability, alerting your team can act on, patching and backup regimes tested by restore, incident response, and a monthly cost review — tagging, right-sizing, savings plans, storage tiering — that keeps the AWS bill a budget rather than a surprise.

Observability and alertingBackups tested by restoreIncident response and runbooksSavings plans and right-sizing
Cloud Engineering

Portfolio

AWS, in Production.

6 builds on AWS written up in full — screening platforms, lending journeys, service platforms — the first six here, each with its numbers.

The C3 MedTech clinic dashboard on a laptop mounted to a slit lamp, showing left and right eye images with redness grading.Healthcare

C3 MedTech: Building a Smart Digital Companion for Dry Eye Disease Management

A HIPAA-compliant platform designed to help patients manage Dry Eye Disease while keeping clinics connected beyond visits. With guided diagnostics, secure patient-clinic linking, and cross-platform support, it boosts adherence, streamlines workflows, and scales across eye care practices.

40%Faster patient report access35%Smoother patient journey
The transaction monitoring dashboard on a laptop against a lilac backdrop, showing an alert queue with risk scores.FinTech

Transaction Intelligence & Behavioral Analytics

A scalable and configurable transaction monitoring solution engineered to detect suspicious activity in real time using rule engines, behavioral profiling, and hybrid risk logic, enabling financial institutions to strengthen AML compliance while optimizing operational efficiency.

45%Faster suspicious activity detection35%Improvement in monitoring workflow efficiency
The SWIFT data orchestration console on a laptop, showing a validated message table with status columns.FinTech

SWIFT Data Orchestration & Automation

A centralised data automation platform engineered to replace high-risk manual spreadsheet processes with secure ingestion, task-based validation, and SWIFT-compliant standardisation workflows, ensuring data integrity, operational scalability, and audit-ready transparency for insurance operations.

60%Reduction in manual spreadsheet50%Faster data validation
The real-time payment screening console on a laptop against a green backdrop, showing a live transaction queue.FinTech

Real-Time Payment Screening for AML & Sanctions

A high-performance, real-time payment screening solution engineered to validate every transaction against global regulatory requirements, sanctions lists, and risk indicators, delivering ultra-low latency, automated decisioning, and operational transparency for compliance teams.

50%Faster transaction screening40%Faster sanctions validation
The watchlist governance console on a tablet, showing a consolidated list view with status columns.FinTech

Watchlist Governance & Compliance Intelligence Solution

Unified data governance and watchlist orchestration solution that consolidates, cleanses, and enriches regulatory, commercial, and internal lists, empowering compliance teams with real-time updates, audit-ready transparency, and exceptionally accurate screening data for enterprise AML operations.

50%Faster watchlist updates40%Reduction in duplicate or inconsistent list data
The AI-powered AML screening platform on a tablet, showing a screening queue with match statuses and risk flags.FinTech

AI-Powered AML Screening Platform: Modernising Financial Crime Compliance

Consolidated AML screening, automation, and case management into a single AI-powered platform, enabling faster onboarding, reduced false positives, and real-time compliance visibility for financial institutions.

70%Faster information retrieval60%Reduction in manual knowledge discovery effort

Benefits breakdown

The AWS Vibe Checklist!

Why hire us for AWS, in five lines you can hold us to.

Where Our Work Already Runs

More of our published case studies run on AWS than on any other cloud; the patterns on this page are the ones behind those numbers, not a certification poster.

The Broadest Toolbox

Whatever the workload — containers, serverless, streaming, analytics, machine learning — AWS has a mature managed service for it, and we choose by operability, not novelty.

Least Privilege, Actually

IAM, KMS and account boundaries designed so a compromised credential is a contained incident; the security posture is evidence, mapped to controls.

Reliability You Can Rehearse

Multi-AZ by default, backups restored on a schedule, chaos and failover drills before the outage — availability is practised, not assumed.

Cost as a Habit

Tags, budgets, savings plans and tiering from the first month, reviewed monthly with the numbers on the table.

Tech expertise

Our Tech Vault At Your Command

AWS is the cloud most of this stack runs on; here is what we ship on and around it. Every name with a page of its own is a link.

Explore the services

Comparative analysis

The AWS Plug You Need

What changes when the team actually knows the stack, in six rows.

FeatureDigiWagonOther agencies
ArchitectureLanding zones, network boundaries and account structure designed before the first workload, not discovered after the first incident.A console click-through that nobody can reproduce.
Security & complianceLeast-privilege identity, encryption by default, audit trails and evidence mapped to ISO/IEC 27001 controls from day one.Security as a checklist, after the audit finding.
CostRight-sized from the start: tagging, budgets, alerts and the reserved-vs-on-demand call made with numbers.The bill is a surprise every month.
EstimationReal timelines and budget, with the assumptions written down — no plot twist.Estimate comes with ‘oops, missed that!’
ReliabilityInfrastructure as code, tested rollbacks, backups that were actually restored, runbooks your team can follow at 3 a.m.Snowflake servers and a prayer.
DocumentationDiagrams, decision records and runbooks that survive the engineer who wrote them.The knowledge left with the contractor.

Industries

Where Our AWS Work Lives

Three of the nine industries we build for, with the AWS work behind each, linked to the industry page.

01

FinTech

Real-time payment screening for AML and sanctions — 50% faster transaction screening, 40% faster sanctions validation — and a watchlist governance platform with 50% faster updates, both on AWS with PostgreSQL and Node.js.

AWS in FinTech

02

Manufacturing

A production and workforce management platform — 55% faster wage calculation, a 50% reduction in manual payroll effort — running on AWS for a manufacturer’s plants.

AWS in Manufacturing

03

Healthcare

A digital companion for dry-eye disease management — 40% faster patient report access, a 35% smoother patient journey — on EC2 with Node.js and Flutter.

AWS in Healthcare

Insights

Notes From the Platform.

Writing from the platform work: a strategic guide to on-premise to AWS migration, from DevOps to platform engineering, and a blueprint for AI agent security in the cloud.

AI agent security framework for preventing autonomous threats in fintech cloud platforms
AI & Machine Learning

AI Agent Security in the Cloud: A Blueprint for Preventing Autonomous Threats in FinTech

· Akash Thakor · 6 min read

Platform engineering blueprint for scalable enterprise software in 2026
Cloud & Platform Engineering

From DevOps to Platform Engineering: The 2026 Blueprint for Enterprise Software Scalability

· Akash Thakor · 4 min read

On-Premise to AWS Migration guide for UK businesses planning cloud transformation
Cloud & Platform Engineering

A Strategic Guide to On-Premise to AWS Migration for UK Businesses

· Akash Thakor · 6 min read

All DigiWagon writing

FAQ

Got Questions? We’ve Got Answers!

Direct answers on AWS versus other clouds, migration, containers versus serverless, security, cost and what our AWS consulting services include after the migration.

01Why AWS over Azure or Google Cloud?

AWS has the broadest service catalogue, the largest ecosystem and the deepest well of operational knowledge, and it is where most of our production work runs, so our patterns are proven there. Azure wins for Microsoft-centred estates and Google Cloud for data-first teams; we compare honestly and recommend one primary cloud with reasons.

02How do you approach a migration to AWS?

Foundation first — accounts, network, identity, logging — then waves by application with the strategy chosen per workload. Databases move with replication and a planned switch; each wave has a rehearsed cutover and a rollback plan. The business runs on the old environment until the wave is proven, so there is no big-bang weekend.

03Containers or serverless?

Per workload. Long-running services with steady traffic suit ECS or EKS; event-driven, bursty or glue work suits Lambda and Step Functions, where you pay per execution and operate almost nothing. Most platforms use both. We decide from traffic shape, latency needs, team skills and cost, and we can move a workload later without redesign.

04How do you secure an AWS environment?

Account boundaries and least-privilege IAM, customer-managed keys in KMS, private networking with WAF in front, GuardDuty, Security Hub and Config for detection and posture, and centralised logging. Every control is mapped to ISO/IEC 27001 and your regulatory regime, so the evidence exists before the auditor asks.

05How do you keep AWS costs under control?

Mandatory tagging and budgets from day one, right-sizing from real utilisation, savings plans for steady compute, autoscaling for the rest, storage tiering and lifecycle rules, and a monthly review with the numbers. Cost is an architecture decision made with the design, not a clean-up after the first alarming invoice.

06What does managed operation look like after go-live?

Observability and alerting your team can act on, patching and backups tested by restore, incident response with runbooks, security posture reviews and a monthly cost and reliability review. Infrastructure code and documentation are yours from the start; we run the platform for you, with you, or hand it over entirely.

Run It on the Cloud We Run On.

Tell us what has to stay up and what has to be proven to whom, and we will show you comparable AWS work before anything is scoped.

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