AWS Cloud Consulting, Migration and Managed Services

What AWS consulting actually gets you #

AWS consulting is the work of designing, moving and then running your workloads on AWS so they stay cheap, available and auditable. In practice that means migration planning, landing-zone and account structure, networking and security design, cost optimisation, and managed support once the workload is live. We do all five, and we do them with the engineers who will still be on the account afterwards.

Most AWS engagements fail in one of two ways. Either a strategy deck arrives and nothing gets built, or juniors get parachuted in behind a senior name on the pitch. We are built the other way round: the engineer who reviews your account is the engineer who does the work — a Certified Kubernetes Administrator who also holds the AWS Solutions Architect – Associate certification and a DevOps credential from IIT Madras, with thirteen years of production infrastructure behind them.

Where we do the work #

Cloud strategy and landing zones #

Before a single workload moves, the account structure has to be right — organisational units, guardrails, identity, network topology and a tagging standard that will still make sense in two years. Getting this wrong is expensive to unwind and almost impossible to retrofit under audit pressure. We design the landing zone against the AWS Well-Architected Framework and hand it over as Terraform, so it is reviewable, diffable and yours.

Migration #

Applications, databases and workloads moved to AWS with the cutover planned around your business, not ours. A single application with a managed database is typically a two-to-six week piece of work. A multi-application estate with compliance requirements usually runs three to six months. The variable is rarely AWS itself — it is application coupling, data volume and how much downtime your cutover window allows.

We plan every migration backwards from the rollback. If the cutover fails at 2 a.m., the runbook says exactly what happens next, and it has been tested.

Cost optimisation #

Most unoptimised AWS accounts carry thirty to fifty percent waste. Not because anyone was careless, but because cloud spend accumulates quietly: an instance family that was right eighteen months ago, snapshots nobody owns, a NAT Gateway carrying traffic that should never have left the VPC, storage sitting in Standard that has not been read since it was written.

On one enterprise client's Kubernetes estate we cut compute spend by fifty to sixty percent using Karpenter with Spot consolidation, right-sizing, Savings Plans and storage lifecycle policies — while keeping critical microservices on stable On-Demand capacity, so the saving cost them nothing in reliability. On another, a Pilot Light disaster-recovery design cut standby costs by ninety-five percent against the warm-standby approach they had been paying for.

The first step is never a proposal. It is a read of your Cost and Usage Report, which tells you the real number before you commit to anything.

Security and compliance #

Least-privilege IAM, private-subnet data layers, encryption in transit and at rest, and admission control that will not let an unsigned container reach production. For clients with regulatory exposure we have built cryptographic supply-chain attestation — every artifact signed with AWS KMS, verified by Kyverno at the cluster boundary — so that deployment history is provable rather than asserted. That work is what allowed one client to pass ISO 27001 availability audits on the strength of a live region-failover test rather than a document.

Managed support #

Once it is live, someone has to hold it. We run monitoring, alerting, patching and cost review on a monthly retainer, either as your entire platform function or alongside engineers you already have.

Data residency and regions #

We work primarily in Mumbai (ap-south-1) and Hyderabad (ap-south-2) for Indian data-residency requirements, and across US and EU regions for global workloads. Typical workloads are containerised applications on EKS, managed databases such as Aurora and RDS, serverless event-driven services, and multi-region disaster recovery.

If your data cannot leave India, say so on the first call. It changes the architecture, and it is much cheaper to design for than to migrate into.

Who this is a good fit for #

• Startups that need a production-ready AWS foundation without hiring a platform team yet.
• Companies whose AWS bill has grown faster than their traffic and who want to know why.
• Teams facing an audit — SOC 2, ISO 27001, DPDP — who need the infrastructure evidence to exist.
• Engineering leaders who want a second senior opinion on an architecture before committing to it.

Who it is not #

If you run three services with predictable traffic and a bill under a few hundred dollars a month, you probably do not need us yet, and we will tell you that on the call rather than sell you a landing zone. If you are looking for the cheapest possible hourly rate, we will not be it.

How an engagement runs #

We scope in writing and price it fixed before any work starts. No hourly meters, no scope that quietly expands. Most engagements are embedded — we build with your engineers, document as we go, and hand over with runbooks. Where there is no in-house platform engineer to hand over to, we stay on a monthly retainer as a fractional platform function.

Everything we build is Infrastructure as Code, in your repository, under your account. There is no lock-in to us, by design. If you want to take it in-house in a year, the handover is a git clone.