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Enterprise Web Hosting Case Studies & Quantified Client Results

Quick answer

WebJi® publishes three hosting case studies with measured results: a D2C store holding 15,000 concurrent flash-sale shoppers at about 420ms, an agency moving 54 cPanel accounts in under 48 hours with zero email loss, and an NBFC moving to Indian servers, cutting latency from 145ms to 12ms.

For buyers who want to see how a similar traffic spike, bulk migration or compliance move was planned, priced and measured.

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Which WebJi® hosting case studies are published?

Three WebJi® hosting case studies are published: a D2C fashion store’s flash sale, a 54-account agency migration and an NBFC’s move to Indian servers for RBI data localization. Each one states the starting problem, the stack that was deployed, how long the work took and the numbers measured afterwards.

WebJi® case studies: sector, problem, stack, timeline and measured result
Case studyStarting problemMain stackTimelineMeasured result
D2C flash-sale scalingCheckout above two seconds at a few thousand sessionsCloud tier, dedicated Redis, queued webhooks, CDNTwo weeks, two load rehearsals15,000 concurrent shoppers, about 420ms, zero carts lost to infrastructure
Agency cPanel migration54 client accounts on an ageing reseller boxWebJi® reseller hosting, WHM transfer wavesUnder 48 hoursZero DNS downtime, zero email loss, roughly 40% lower yearly spend
NBFC data localizationApplication and data hosted outside IndiaIndian dedicated servers, TLS 1.3, 180-day logsSix weeks with audit papersData fully in India, latency 145ms to 12ms, DR drill passed

Which case study matches your workload?

Pick the case study by the shape of your problem — a traffic spike, a bulk move or a compliance deadline — rather than by your industry label. A coaching portal with an admission-day rush has more in common with the flash-sale store than with another education site.

For a sector view rather than a single engagement, the industries hub sets out typical requirements for e-commerce, fintech, agencies and other sectors.

How should you read the numbers in these case studies?

Every figure is a measurement for one engagement under its own conditions, not a promise for a different site. The metrics come from the monitoring and ticket history of that project, and each one answers a narrow question.

Concurrent shoppers
Visitors with an active session at the same moment, which is not the same as daily visits or orders.
Average response time
How long the server took to answer a request during the measured window; page load in a browser also includes images and scripts.
Uptime for the window
Availability during the sale period only, separate from the 99.9% monthly target in the WebJi® SLA.
Latency
Network round-trip time between users and the server, which falls sharply when both are in India.
Cost reduction
The change in recurring yearly hosting spend, not the one-time migration effort.

What method do all three engagements follow?

Each engagement ran on the same five gates: a written scope, an INR quote, a test copy or rehearsal, a cutover with both systems live, and measurement against the metrics agreed at the start. The details differ; the order does not.

  1. Scope sheet: current host, traffic pattern, data classes, deadlines and the metric that defines success.
  2. Quote: the stack priced in INR before 18% GST, built from published tiers such as cloud from ₹5,900 a month or dedicated from ₹4,999 a month.
  3. Rehearsal: load tests for the store, verified copies for the agency, a DR drill for the NBFC.
  4. Cutover: lowered DNS TTLs and both old and new servers answering until propagation settles.
  5. Report: the measured numbers that appear on each case study page.

What the case studies do not claim

The case studies are anonymised and describe three specific projects, so they do not name clients or promise identical results for every site. Named references are shared during a sales conversation only with the client’s consent.

Your own result depends on your application code, plugin load, database size and traffic pattern, which is why sizing is done per workload. A store whose checkout is slowed by a heavy theme needs code work as well as a bigger server; a migration with unusual mail rules needs more waves. The scope sheet is where those differences are written down before any quote.

How do you start a similar engagement with WebJi®?

Send your workload numbers — traffic, number of sites or data locations, and the deadline — through the contact page or to support@webji.services. The reply names the recommended tier, the deliverables and an INR quote.

WebJi® has served Indian businesses since 2005, with 12,000+ clients and email support 24/7 in Hindi and English, with an average first reply under 60 minutes. Simple single-site moves are covered on website migration service without needing a full engagement.

FAQ

Frequently asked questions

Why are the clients in these case studies not named?

Hosting clients often treat their stack, traffic and compliance details as confidential. The pages describe sector, workload and measured outcome instead, and a named reference can be arranged during a sales conversation when the client agrees.

Can a smaller business use the same approach?

Yes. The method scales down: a shop with one festive sale can use object caching and a rehearsal on a VPS, and a freelancer moving ten sites can run the same wave plan. The tier changes; the gates stay the same.

Is the 99.99% uptime in the flash-sale study a guarantee?

No. It is the availability measured during that store’s sale window. WebJi®’s published commitment is a 99.9% uptime target measured monthly, and the SLA page explains how that is counted and credited.

Will more case studies be added?

New write-ups are added when an engagement has measured results and the client is comfortable with publication. Each follows the same structure: problem, stack, timeline and numbers, linked from this page.

Last editorial update: 14 November 2026. Prices follow the dated sources on this page; checkout confirms current charges.

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