For many Indian startups, cloud is the largest controllable infrastructure cost — and one of the most opaque. As bills grow, the question of optimisation comes up — and the financial case for switching to a domestic, INR-billed, OpenStack-based provider is more compelling than many teams realise.
Where Indian Startups Overpay
The sticker price of cloud compute is not the real cost. Several factors systematically inflate bills for Indian customers running on global hyperscalers:
Egress fees. Global hyperscalers charge $0.08–$0.12 per GB for data transferred out of their infrastructure. For a media platform streaming video, an API serving mobile clients, or any application moving significant data, this becomes a large line item. On 10 TB of monthly egress, that's $800–$1,200 (₹65,000–₹100,000) just for data transfer — on top of compute costs. Dollar billing. Global cloud providers bill in USD. When the rupee depreciates, your cloud bill goes up in rupee terms without any change in usage. Over a 3-year period, exchange rate movement has added 10–20% to the effective rupee cost of dollar-denominated cloud services for Indian companies. Reserved instance commitments. Hyperscaler pricing models incentivise 1-year or 3-year commitments through discounts. Companies that commit often end up over-provisioned as their workloads change — paying for capacity they don't need. India-region premium. Hyperscaler India regions typically carry a slight premium compared to other regions, partly due to the cost of operating Indian infrastructure and data centre leases. Support costs. Premium support tiers from global providers start at $100/month or 10% of usage — whichever is higher. For a startup spending ₹3 lakh/month on cloud, that's ₹30,000/month, often for a support tier that doesn't include the response times or account management the startup actually needs.The Real Numbers
Let's model a typical Indian Series A startup:
Profile:- •8 vCPUs, 32 GB RAM (primary application)
- •PostgreSQL database (4 vCPUs, 16 GB)
- •2 TB object storage
- •5 TB monthly egress
- •2 staging environments (run 8 hours/day on weekdays)
- •Compute (8 vCPU / 32 GB on-demand): ~₹28,000/month
- •Managed PostgreSQL (4 vCPU / 16 GB): ~₹22,000/month
- •Object storage (2 TB): ~₹4,000/month
- •Data transfer (5 TB egress): ~₹35,000/month
- •Staging environments: ~₹12,000/month
- •Total: ~₹1,01,000/month
- •Equivalent compute: ~₹18,000/month
- •Managed PostgreSQL: ~₹14,000/month
- •Object storage (2 TB): ~₹2,500/month
- •Data egress: ₹0
- •Staging (auto-scaled, weekdays only): ~₹5,000/month
- •Total: ~₹39,500/month
The biggest single factor is egress. Zero egress fees alone save ₹35,000/month in this model. For data-intensive applications the savings are even larger.
What You Trade Off
The honest answer: you trade ecosystem breadth and certain specialised services.
Hyperscalers offer 200+ services. An Indian regional cloud provider has the core infrastructure — compute, storage, networking, managed databases, Kubernetes — without the specialised ML services, IoT platforms, media transcoding pipelines, and hundreds of other services.
For most Indian startups, this is a fine trade. The services you actually run in production are compute, object storage, a managed database, and Kubernetes or a container orchestration service. The specialised hyperscaler services are used by a small minority of workloads.
For the minority of workloads that need vendor-specific services — managed ML, real-time streaming, computer-vision pipelines — running those specific services on the hyperscaler while moving the bulk of infrastructure to a cost-effective Indian provider is a viable hybrid strategy.
Making the Migration
A cloud migration sounds like a large project. For most Indian startups, the core migration — compute, database, object storage — takes 2–4 weeks for an experienced engineer:
- 1Set up infrastructure on the new provider (2–3 days)
- 2Configure networking and security groups (1 day)
- 3Migrate database with minimal downtime using logical replication (1–2 days)
- 4Update application configuration and deploy (1 day)
- 5DNS cutover (hours)
- 6Monitor and validate (1 week)
The 2–4 week investment pays back in under 2 months at ₹60,000+ monthly savings.