Cloud Management Services India

Built for India's DPDP Act and RBI data localization

Every engagement is aligned to the Digital Personal Data Protection Act 2023 (DPDP Act) and the emerging Data Protection Board, with CERT-In's 6-hour incident-reporting direction built into runbooks. Data stays onshore across the AWS Mumbai (ap-south-1) and Hyderabad (ap-south-2) regions.

Security controls map to ISO 27001 and the IT Act 2000, with RBI guidelines and data-localization for regulated financial entities and SEBI requirements for market intermediaries covered.

Pricing is quoted in INR with India business-hours cover on top of 24/7 support, and documentation is prepared for Indian auditors, MeitY and RBI accountability.

Cloud management for India workloads

We run AWS, Azure and GCP across the AWS Mumbai (ap-south-1) and Hyderabad (ap-south-2) regions so data stays onshore for the DPDP Act and RBI localization. FinOps reporting is delivered in INR against your cost centres.

What cloud infrastructure services include

Cloud infrastructure services cover everything between your application code and the cloud provider's bill: account and landing-zone design, networking, compute and container platforms, storage and databases, identity and access, security controls, monitoring, backup and disaster recovery, and the ongoing operations that keep all of it patched, observed and cost-efficient.

We deliver these as one service on AWS, Microsoft Azure and Google Cloud, and for hybrid estates that keep some workloads on-premises or in colocation. The engagement can be a project (design, migrate, hand over with documentation) or a managed service (we run it, 24/7, with a monthly report), and most clients move from the first to the second.

Every estate we touch ends up in Terraform. If it is not in code, it is not managed; it is a snowflake waiting to be rebuilt from memory during an incident.

Cloud architecture and landing zones

Good cloud infrastructure starts with account structure, not instances. We build multi-account landing zones using AWS Organizations and Control Tower, Azure management groups and landing-zone accelerators, or GCP folders and projects, with centralised identity (IAM Identity Center, Entra ID, Cloud Identity), guardrails as service control policies or Azure Policy, centralised logging, and a network hub that every workload account attaches to.

Workload architecture follows the provider's well-architected framework and the workload's actual requirements: availability zones and regions chosen for latency, data residency and cost; compute on the right mix of instances, containers (ECS, EKS, AKS, GKE) and serverless; managed databases (RDS, Aurora, Azure SQL, Cloud SQL) unless there is a documented reason to self-host.

Deliverables are a written architecture, a Terraform repository that builds it, a cost model, and a runbook. You can hand all three to another provider and they will understand the estate.

Cloud network infrastructure

Cloud networking is where most estates quietly go wrong: flat VPCs, public subnets for everything, security groups that allow 0.0.0.0/0, no private connectivity to managed services, and a VPN nobody documented. We design network infrastructure with private-by-default subnets, a hub-and-spoke or Transit Gateway topology, VPC endpoints or Private Link for provider services so traffic never leaves the backbone, and a single, audited path in from the internet through load balancers and a WAF.

Hybrid connectivity uses Site-to-Site VPN for smaller estates and Direct Connect, ExpressRoute or Cloud Interconnect where bandwidth or latency justify it. DNS is split-horizon and managed in code. Firewall rules and security groups are reviewed quarterly against what actually talks to what, using VPC flow logs rather than assumptions.

Network changes go through the same pull-request path as everything else, with a plan output reviewed before apply. A misconfigured route table is an outage; a reviewed diff is not.

Cloud migration

Migrations are planned around the workloads, not the calendar. Discovery produces an inventory with dependencies, data volumes, compliance scope and downtime tolerance for each application. Each one is assigned a strategy: rehost, replatform onto managed services, refactor where the return is clear, or retire.

Data moves with replication tools (AWS DMS, Azure Database Migration Service, Storage Gateway, Transfer Family) so cut-over windows are minutes, not weekends. Every migration wave has a rehearsed rollback and a test plan signed off before the switch. We have migrated estates from on-premises VMware, from other clouds and between AWS regions; the process is the same.

Hybrid cloud and multi-cloud management

Many estates are hybrid by necessity: a data centre with equipment that still has years of life, a regulator that wants certain data on-shore, or a SaaS product with customers on both AWS and Azure. We run these as one estate with one monitoring plane, one identity provider, one configuration repository and one on-call rota.

Hybrid cloud network monitoring is handled by Zabbix proxies in each environment feeding a central server, alongside CloudWatch, Azure Monitor and Cloud Monitoring for provider-native metrics, so an outage in a colocation rack and a throttled RDS instance appear on the same board with the same escalation.

Security and compliance controls

Security is built into the landing zone rather than bolted on: MFA-only console access, no long-lived access keys, least-privilege roles generated per workload, encryption at rest and in transit by default, GuardDuty, Security Hub, Defender for Cloud or Security Command Center enabled and triaged, and CIS Benchmark checks run continuously against every account.

Compliance evidence falls out of the way the estate is built. Config history, CloudTrail and audit logs, IAM access reviews, patch reports and backup tests map onto ISO 27001, PCI DSS, SOC 2 and regional requirements such as GDPR, the Australian Privacy Act, PIPEDA and RBI guidelines. Certification and audit engagements are delivered by our sister firm PraxisQ Consulting; the technical controls are delivered here.

24/7 monitoring and operations

Managed estates report into our NOC with provider-native metrics and Zabbix or Prometheus for what the provider does not see: application health, certificate expiry, queue depth, job completion, backup age. Alerts route by severity to an on-call engineer with a runbook; P1 incidents are acknowledged within 15 minutes, around the clock.

Operations follow a monthly calendar: patching and image rotation, IAM access review, backup restore tests, cost review, capacity review and a written report a CTO can read in five minutes. Every incident gets a root-cause note and, where the fix is structural, a change to the Terraform so it cannot recur.

Cloud cost optimisation (FinOps)

Cost is a monitored metric, not a quarterly surprise. Every managed estate has tagging enforced by policy, budgets and anomaly alerts, and a monthly review of rightsizing recommendations, idle resources, storage lifecycle policies, Graviton and Spot eligibility, and commitment coverage through Savings Plans or Reserved Instances.

Typical outcomes in the first quarter are double-digit percentage reductions from rightsizing and scheduling alone, before any commitment purchases. Recommendations come with the saving, the risk and the change required, so you decide with numbers in front of you.

Engagement models and pricing

Projects (landing zone, migration, re-architecture) are fixed-scope with a written statement of work and milestones. Managed cloud infrastructure is priced monthly, based on estate size and support tier; production tiers include 24/7 P1 cover and the monthly operations calendar. Contracts are monthly rolling after the first quarter.

We support clients in the UK, US, Australia, UAE, Singapore, Canada and India from Mohali, with engineers on rotation across those time zones.

Why Techtweek Infotech for cloud infrastructure

AWS Advanced Partner with production experience across Azure and GCP as well, so recommendations are not shaped by a single vendor relationship. Terraform for everything, reviewed in pull requests, with the repository owned by you.

The same team runs Linux and Windows server management, DevOps and CI/CD, and NOC monitoring, so a hybrid or multi-cloud estate does not need three vendors and a coordination meeting. Named engineers, not a ticket queue, and reports written for the person paying the bill.