Cloud Solutions That Are Built to Operate

Most cloud migrations fail at the second step — running it. We design landing zones, migrate applications in safe waves, and set up the FinOps and operational practices that keep cloud spend predictable and platforms easy to live with.

Scalable cloud infrastructure

Our Cloud Services

From first landing zone through ongoing FinOps — practical engagements across the cloud lifecycle

Cloud Migration

We move applications and data from on-premises or legacy hosting into AWS, Azure, or Google Cloud — in waves of related workloads, with cutover plans, rollback procedures, and hypercare. We pick the right migration pattern for each application instead of forcing everything through the same template.

  • 6 Rs portfolio analysis and wave planning
  • Rehost (lift-and-shift) and replatform migrations
  • Database and large-data migrations with minimal downtime
  • Cutover orchestration and rollback procedures
  • Post-migration hypercare and stabilization

Cloud-Native Development

Net-new applications built to take advantage of managed services — serverless compute, managed databases, event streaming, and identity. We default to managed services when they fit, and only build custom infrastructure when there's a clear reason to.

  • Serverless architectures (Lambda, Azure Functions, Cloud Run)
  • Event-driven design (EventBridge, Service Bus, Pub/Sub)
  • Managed databases and caching (RDS, Cosmos DB, Spanner)
  • API Gateway, identity, and authorization patterns
  • 12-factor application design and observability

Containers & Kubernetes

We design and run Kubernetes platforms that your engineering team can actually operate. Sensible defaults, golden paths, and platform abstractions that hide complexity instead of inflicting it on application teams.

  • EKS, AKS, and GKE cluster design and hardening
  • GitOps workflows with ArgoCD or Flux
  • Service mesh (Istio, Linkerd) when justified
  • Helm chart libraries and platform engineering
  • Container image supply-chain security (Sigstore, SBOMs)

Cloud Security & Compliance

Security has to be part of the platform, not bolted on. We design landing zones with guardrails, implement continuous compliance scanning, and run threat modeling workshops with your engineers so secure-by-default becomes the path of least resistance.

  • Landing zone guardrails (SCPs, Azure Policy, Org Policies)
  • Identity federation and least-privilege IAM design
  • Continuous compliance scanning (CIS, NIST, HIPAA, PCI)
  • Secret management and KMS-backed encryption
  • Threat modeling and incident response playbooks

FinOps & Cost Optimization

We help organizations move from surprise cloud bills to predictable, well-understood spend. That means tagging discipline, allocation and chargeback, anomaly alerting, and a steady cadence of right-sizing and savings-plan reviews — backed by real reporting your finance team trusts.

  • Tagging strategy and allocation reporting
  • Right-sizing and reserved-capacity / savings-plan analysis
  • Anomaly detection and unit-economics reporting
  • Storage lifecycle and idle-resource automation
  • Engineering-to-finance partnership coaching

Reliability & Observability

Knowing your platform is broken before your customers do is a discipline, not a tool. We instrument applications with OpenTelemetry, build SLO-driven dashboards, and stand up incident response practices that improve every postmortem.

  • OpenTelemetry instrumentation across services
  • SLO definition, error budgets, and alerting
  • Centralized logging, tracing, and metrics platforms
  • Game days and chaos-engineering practices
  • Incident response playbooks and blameless postmortems

Cloud Platforms We Support

Deep, hands-on experience across all three major hyperscalers

AWS

Amazon Web Services

Multi-account landing zones with AWS Organizations and Control Tower, container platforms on EKS and ECS, serverless on Lambda and Step Functions, and data platforms anchored on RDS, Aurora, and Redshift.

  • EC2, ECS, EKS, and Lambda
  • S3, CloudFront, and Storage Gateway
  • RDS, Aurora, DynamoDB, and Redshift
  • Control Tower, Organizations, and Identity Center
  • Migration Hub, DMS, and Application Migration Service
Microsoft Azure

Microsoft Azure

Enterprise Azure environments built on the Cloud Adoption Framework — Entra ID federation, Azure Landing Zones, AKS platforms, and tight integration with Microsoft 365 and the Power Platform for line-of-business workloads.

  • App Service, Functions, AKS, and Container Apps
  • Azure SQL, Cosmos DB, and Synapse Analytics
  • Azure Landing Zones and Cloud Adoption Framework
  • Entra ID federation and Conditional Access
  • Azure Migrate, Database Migration Service, and ASR
Google Cloud Platform

Google Cloud Platform

GCP environments for organizations that want a strong data and AI foundation — BigQuery-centric analytics platforms, GKE for containers, Vertex AI for machine learning, and Google's network as a force multiplier.

  • GKE, Cloud Run, and Cloud Functions
  • BigQuery, Looker, and Dataflow / Dataproc
  • Vertex AI and AutoML
  • Cloud Identity, IAM, and Organization Policies
  • Migrate to Virtual Machines and Database Migration Service

How a Cloud Engagement Runs

A transparent, four-phase methodology — here is exactly what happens when you migrate or modernize with us

01

Cloud Readiness Assessment

Week 1–3

Every successful migration starts with an honest look at where you are today. We inventory your applications, classify them by migration pattern (rehost, replatform, refactor, or retire), and identify the dependencies that will determine sequencing. We assess your operational maturity, team skills, and cost baseline so the recommended target state is realistic — not aspirational.

Key Activities

  • Application portfolio discovery and dependency mapping
  • 6 Rs classification (rehost / replatform / refactor / repurchase / retain / retire)
  • On-premises cost baseline and TCO modeling
  • Compliance, residency, and security requirements review
  • Skill-set assessment and target operating-model design

Deliverables

  • Application portfolio inventory with migration patterns
  • Total cost of ownership comparison (on-prem vs. cloud)
  • Migration wave plan with sequencing rationale
  • Cloud target operating model recommendations
02

Landing Zone & Foundation

Week 3–6

Before a single workload moves, we set up the cloud foundation properly. That means a multi-account or multi-subscription landing zone with guardrails, identity federation, network topology, logging and monitoring baselines, and infrastructure-as-code from day one. Getting this right at the start prevents the painful retrofits that come from migrating into a flat single account.

Key Activities

  • Multi-account / subscription landing zone design
  • Identity federation (Entra ID, AWS IAM Identity Center, GCP IAM)
  • Hub-and-spoke or transit network architecture
  • Centralized logging, monitoring, and audit pipelines
  • Infrastructure-as-code repository and CI/CD bootstrapping

Deliverables

  • Landing zone deployed via Terraform / Bicep / CloudFormation
  • Network topology and security baseline
  • Centralized observability and audit logging
  • Documented account / subscription provisioning runbook
03

Migration Waves

Ongoing per wave

We migrate in waves of related applications — typically 5 to 15 workloads per wave — so we can build operational muscle and catch issues early. Each wave runs as a mini-project: cutover plan, pre-cutover testing, run-day, hypercare. We standardize the boring parts (logging, tagging, backup, IAM) so engineers can focus on the application-specific decisions that actually matter.

Key Activities

  • Per-wave cutover planning and stakeholder readiness checks
  • Application refactoring for cloud-native services (where in scope)
  • Data migration with cutover, replication, or dual-write strategies
  • Functional, performance, and DR testing pre-cutover
  • Cutover run-day execution and hypercare

Deliverables

  • Migrated workloads with deployment pipelines
  • Cutover playbooks and rollback procedures
  • Updated architecture and operational runbooks
  • Wave retrospective with lessons-learned for the next wave
04

Optimization & FinOps

Ongoing

Cloud bills surprise nobody who's been running cloud for a while — but they shouldn't surprise you either. After migration, we set up cost visibility (tagging, allocation, anomaly alerts) and start the steady-state optimization work: right-sizing, savings plans, storage tiering, and architectural changes that pay back faster than they cost. We also establish the operational practices — incident response, capacity planning, security reviews — that keep the platform healthy.

Key Activities

  • Cost allocation tagging and chargeback / showback reporting
  • Right-sizing, reserved-capacity, and savings-plan analysis
  • Storage lifecycle policies and idle-resource cleanup
  • Reliability and DR testing (game days, chaos engineering)
  • Security posture reviews and continuous compliance

Deliverables

  • FinOps dashboards with anomaly alerts
  • Right-sizing and savings-plan recommendations with ROI
  • Operational maturity scorecard and improvement plan
  • Quarterly architecture and cost review cadence

Ready to Move to the Cloud — or Tame the One You Have?

Whether you're planning a first migration or trying to get a handle on a sprawling cloud estate, we'll start with a working conversation. No deck, no pitch — just a candid look at what's possible.