The use case: how Bigbasket deploys New Relic
Bigbasket uses New Relic for application performance monitoring and observability across its microservices stack. It uses the insights to find slow APIs and database queries, lower infrastructure costs, monitor error rates, and speed up incident recovery.
More reported results
Figures published in New Relic’s case study. They are not independently measured by usedby.
improving our Mean Time to Recovery by 70-80%
an increase of around 20% month-on-month
we’ve been able to reduce this to less than 1% over the course of a month
In the customer’s words
New Relic shone a light on the previously neglected areas of tracing and observability. It has uncovered many issues of our asynchronous technology stacks, and supported us to identify and eliminate bottlenecks; paving the way for smooth and efficient operationsOther companies using New Relic
Customers across industries, with public evidence.
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Go straight to the source
Based on New Relic’s published case study. We check the public evidence; the results are reported by the vendor.
newrelic.com- Last checked
- Nov 14, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 35%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Bigbasket.
- Bigbasket uses New RelicChecked
Confirmed line.
- The result itselfNot checked
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Bigbasket has also improved performance and resource utilisation while reducing application infrastructure costs by around 35% thanks to New Relic.