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Managed Cloud Services: 24x7 Operations for AWS, Azure, Google Cloud

Quick answer

Managed cloud services are the outsourced, recurring operation of cloud workloads after they go live: monitoring, incident response, patching, backups, database and Kubernetes upkeep, security triage, cost control and governance, delivered against written service levels. NTSPL provides these across AWS, Azure and Google Cloud from India, as twelve separable services that clients combine according to what their own teams keep.

Cloud Management

Managed Cloud Services at a Glance

Migration projects end with a handover document and a team that is already moving to the next priority. The estate keeps changing: new services, new accounts, new versions, new threats and a bill that grows a little every month. Most Indian mid-market companies cannot staff three shifts of engineers for monitoring, a DBA, a Kubernetes specialist, a security analyst and a FinOps practitioner. The result is predictable: alerts nobody reads at night, upgrades postponed until they are forced, backups never restored and policy exemptions that never expire.

NTSPL's managed cloud services split that work into twelve services with their own scope, cadence and service levels, from 24x7 monitoring and incident command to governance operations and service reviews. Clients choose the services they need and keep the rest in-house under a written RACI. Every service runs on native tooling in your accounts, with changes made through code and evidence retained in Indian regions, so you keep control and can audit everything we do.

Twelve Operating Services in Four Groups

Detect and respond

A staffed NOC watches user journeys and golden signals around the clock, an incident commander runs every P1 bridge, and security analysts triage threat detections and contain leaked credentials or exposed data within minutes. These three services share one event pipeline and escalation matrix.

Run the platform

Day-2 upkeep of what your workloads sit on: infrastructure changes made through pull requests with nightly drift control, ringed OS patching against hardened baselines, remote DBA duties on managed databases, and quarterly Kubernetes upgrade trains with monthly node image refresh. Each runs on a published calendar agreed with service owners.

Protect and optimise

Daily backup job review with monthly restore tests into isolated accounts, capacity models that track quotas and hard limits ahead of peak events, and weekly cost operations that triage anomalies, schedule non-production and clear idle resources. Savings and restore results are both logged as evidence, not estimates.

Govern and report

Account and subscription vending with guardrails applied from the first minute, dated policy exceptions and monthly compliance reviews, plus service reports built from source telemetry and ticket data. Quarterly reviews with your CIO or CTO decide what to improve next, and every decision is tracked to closure.

What Changes When Operations Run on SLA

●Alert acknowledgement under 5 minutes, 24x7 — Every P1 and P2 alert is acknowledged by a person with a runbook, not an email to a shared mailbox.
●Critical patches within 14 days, exploited ones within 72 hours — Ringed patch waves and emergency procedures replace quarterly patch weekends.
●Monthly proof of recoverability — Restore tests, failover drills and backup coverage are evidenced every month, not assumed.
●15-30% lower run rate within six months — Cost operations and capacity reviews remove waste without cutting the headroom peak events need.

How We Operate Each Hyperscaler

AWS →

On AWS we operate through cross-account roles in your Organization, using CloudWatch, Systems Manager, AWS Backup, GuardDuty, Security Hub and Cost Optimization Hub. Workloads typically run in Mumbai with Hyderabad for recovery, and SCPs keep production in Indian regions. Changes go through Terraform or CloudFormation pipelines rather than console edits.

Microsoft Azure →

On Azure we work through Azure Lighthouse delegation, so no guest accounts are needed in your tenant. Azure Monitor, Update Manager, Business Continuity Center, Defender for Cloud, Sentinel and Cost Management are the core tools, across Central India, South India and West India, with Azure Policy and management groups carrying the guardrails.

Google Cloud →

On Google Cloud we operate with IAM groups at organisation or folder level, using Cloud Monitoring SLOs, VM Manager, Backup and DR Service, Security Command Center and billing export to BigQuery. Production usually sits in Mumbai with Delhi for recovery, and Organization Policy constraints enforce residency, labels and approved services.

Illustrative case studies

Managed Cloud Services in Practice: Industry Scenarios

AWS24x7 Cloud MonitoringOnline pharmacy

Online pharmacy catches failed prescription uploads in 2 minutes instead of next morning

Challenge: Three overnight upload failures in one quarter delayed about 1,900 orders past their dispatch slot

Under 2 minutesTime to detect upload pipeline failure
Read case study →
AWSIncident ManagementFood delivery cloud kitchens

Cloud kitchen brand cuts dinner-peak outage restore time from 94 to 23 minutes

Challenge: Average P1 restoration of 94 minutes during the dinner peak

23 minutesAverage P1 restore time
Read case study →
Microsoft AzureCloud Infrastructure ManagementCoworking and flexible workspace

Coworking operator clears a 130-ticket backlog and brings 94% of Azure into code

Challenge: New-centre network setup took about 15 working days and delayed two launches

9 ticketsInfrastructure backlog
Read case study →
Microsoft AzureBackup OperationsClinical laboratory

Clinical lab chain finds 19 unprotected databases and proves monthly restores of its LIS

Challenge: 19 databases and 7 VMs added since migration had no backup

0Production databases without backup
Read case study →
Microsoft AzurePatch & Configuration ManagementNBFC vehicle finance

Vehicle-finance NBFC cuts critical patch latency from 47 days to 9 ahead of RBI inspection

Challenge: Median critical patch latency of 47 days across 180 VMs

9 daysMedian critical patch latency
Read case study →
Google CloudPerformance & Capacity ManagementEd-tech test preparation

Test-prep platform runs its 3.4 lakh-student Sunday mock test after two failed attempts

Challenge: Two of three recent mock tests rescheduled because of capacity ceilings

320 msAnswer-save p95 latency at peak
Read case study →

Managed Cloud Services: Frequently Asked Questions

Can we buy only some of the twelve services?

Yes, and most clients do. A common starting set is 24x7 monitoring, incident management and backup operations, adding patching, databases or cost operations later. Each service has its own scope and SLA, and a RACI shows which tasks stay with your team, so there are no grey areas at handover.

How does NTSPL access our cloud without owning it?

Through delegated, least-privilege access you control: cross-account IAM roles on AWS, Azure Lighthouse on Azure and IAM groups on Google Cloud. Elevated actions use just-in-time access with session logging. You can revoke access at any time, and all infrastructure code stays in your repositories.

Do you take over from an existing managed service provider?

Yes. Transition usually takes six to ten weeks: knowledge capture and shadowing, a parallel-run period, then cutover with a signed acceptance. We inventory runbooks, credentials, open tickets and known problems from the outgoing provider before taking primary ownership.

How do managed cloud services support Indian regulatory obligations?

We keep logs and evidence in Indian regions with 180-day retention for CERT-In, enforce data residency through policy, and map reports to RBI, SEBI CSCRF or IRDAI controls where you are regulated. Regulatory accountability stays with your organisation; we provide the operational evidence and the outsourcing oversight records.

What does a typical engagement cost overall?

For a mid-market estate of 100-300 workloads taking monitoring, incident management, patching, backups and monthly reporting, combined fees usually fall between ₹4 lakh and ₹10 lakh a month, excluding cloud consumption. Onboarding is a fixed fee per service, typically recovered through cost operations savings within the first year.

Is support delivered from India and in Indian time zones?

Yes. Our NOC and engineering teams work from India in three shifts, so night-time and weekend coverage does not depend on offshore hand-offs. Escalation contacts, review meetings and reports follow IST, and quarterly reviews can be held in person for clients in major Indian cities.