Cloud Consulting & Migration (AWS, Azure, GCP)
Moves workloads to AWS Azure or Google Cloud with a validated migration path from readiness assessment through production cutover so infrastructure becomes more scalable and cost-predictable without disrupting the business it supports.
Everything included under this practice line.
Cloud readiness assessment: dependency mapping workload scoring and total-cost-of-ownership modeling
Landing zone design with account structure network topology IAM baselines and guardrails
Migration wave planning using the 7 Rs framework (rehost, replatform, refactor, retire, retain, repurchase, relocate)
Database migration including schema conversion replication setup and cutover with rollback paths
Refactoring monoliths toward managed services containers or serverless where the workload justifies it
Hybrid and multi-cloud connectivity through Direct Connect ExpressRoute or Cloud Interconnect
Post-migration hardening covering observability backup tagging and FinOps baselines
Cutover runbooks dry runs and rollback rehearsal before production traffic shifts
The stack we reach for.
What the business gets, measured.
- Reduced operational risk during the transition to cloud infrastructure
- Predictable run-rate cost with visibility into per-workload spend from day one
- Faster provisioning for new environments once the landing zone is in place
- Retirement of aging hardware and end-of-life licenses without a forklift event
- Ability to scale capacity up or down against real demand instead of peak forecast
The specialists behind this practice line.
Cloud architects lead the migration strategy and landing zone design with database network and security specialists engaged for their respective migration streams based on what the workload actually requires. Application owners and platform engineers pair on refactoring calls so decisions about replatforming versus rehosting are grounded in how the software is actually run not just how it was drawn.
Compose several capabilities into one engagement.
DevOps Consulting
We audit how your team ships today find the actual bottleneck and fix it. Usually it's not the tooling it's the handoff between dev and ops.
CI/CD Pipeline Automation
Pipelines that build test scan and deploy on every merge without a human in the loop. Same pipeline for every service so nobody has to relearn it.
Infrastructure as Code (Terraform)
Every resource in a repo reviewed like application code. No click-ops no drift and no server that only one person knows how to rebuild.
Kubernetes & Container Orchestration
EKS AKS or GKE clusters set up so day-two doesn't become a fire drill. Sane defaults for networking RBAC upgrades and workload isolation.
Platform Engineering
Internal developer platform so product teams ship services without filing tickets. Golden paths for the common cases escape hatches for the rest.
Site Reliability Engineering (SRE)
SLOs tied to what users actually feel error budgets that gate risky changes and on-call rotations that don't burn people out. Postmortems that fix causes not symptoms.
Cloud Cost Optimization
We find the money leaking on idle instances oversized nodes forgotten volumes and egress. Then we set guardrails so it doesn't creep back next quarter.
Disaster Recovery & Business Continuity
RTO and RPO targets you can actually meet backed by restores we test on a schedule. Backups nobody has restored are not backups.
Let's talk
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