New Relic APM Practitioner study materials
New Relic APM Practitioner study resources

New Relic APM Practitioner case studies

New Relic APM Practitioner · Put your knowledge to work in context.

The New Relic APM Practitioner credential is a vendor-aligned certification for engineers, SREs, and platform teams who monitor application performance on New Relic. This independent study page is built for candidates searching for a practical, current guide to the exam. The New Relic APM Practitioner case studies are 5 cases and about 3,353 words.

1

Checkout latency after an HTTP retry change

An e-commerce company runs checkout-api (Node.js) on Kubernetes with payment-service (Java) and an external PSP reached over HTTPS. After release 2026.03.2 , checkout-api p95 latency rises from 380 ms to 2.9 s while throughput stays at 410 req/min and error rate stays flat at 0.3%.

716 words, about 4 min
2

Mobile LCP field data conflicts with synthetic passes

A global retailer uses New Relic Browser on its React storefront and Synthetics scripted browsers from three cloud locations every 5 minutes. Mobile LCP p75 is 4.4 s on product pages and 2.3 s on category pages; desktop LCP p75 is 1.8 s.

670 words, about 3 min
3

Reducing alert noise without hiding a file-descriptor failure

An operations team for a ticketing platform has 14 services, 210 alert conditions, and 120 pages per week. Seventy percent of pages come from six conditions: CPU high on autoscaling batch nodes, memory high on a search cluster, and database latency high repeated for each of five services.

660 words, about 3 min
4

Nightly batch memory pressure evicts playback pods

A streaming service runs 30 Kubernetes nodes: 20 general, 6 for batch transcoding, and 4 for stateful ingestion. During the nightly batch at 02:00, checkout and playback p95 latency rises from 300 ms to 1.3 s; three general nodes report memory above 90%; Kubernetes evicts six playback pods.

651 words, about 3 min
5

Cutting log volume while preserving incident evidence

A fintech has 90-day retention for audit logs and 30-day retention for application logs. Daily ingest is 1.4 TB: 55% checkout debug, 20% ingress health checks, 10% audit, and 15% other.

656 words, about 3 min