The use case: how Ajaib deploys New Relic
Ajaib, a financial services company, uses New Relic APM and distributed traces to monitor its Kubernetes-orchestrated services, spot error rate spikes during market opening, and deploy fixes quickly. The engineering team also explores telemetry data to form and validate hypotheses for improving the product.
In the customer’s words
We are operating in a world where milliseconds matter and the stakes are high. A delay, a glitch, a momentary lapse in our system could mean a missed opportunity or significant loss. That’s where New Relic comes inOther companies using New Relic
Customers across industries, with public evidence.
27GlobalConfirmed
ABS-CBNConfirmed
AchieversConfirmed
AckoConfirmed
AeromexicoConfirmed
AnsaradaConfirmedGo 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 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Ajaib.
- Ajaib uses New RelicChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Now, if suddenly error rates spikes we quickly follow the traces and deploy a tactical fix within minutes based on this information. New Relic’s APM, suites and distributed traces keeps our mean time to recovery low.
