TechValidate Research on New Relic


New Relic Case Study

Fortune 500 Media & Entertainment Company has a reduction in Mean Time to Detection (MTTD) and/or Mean Time To Recovery (MTTR)

Introduction

This case study of a Fortune 500 media & entertainment company is based on an April 2019 survey of New Relic customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

Challenges

The business challenges that led the profiled company to evaluate and ultimately select New Relic:

  • Organizational challenges faced before implementing New Relic One:
    • Too much time spent troubleshooting applications after software releases

Use Case

The key features and functionalities of New Relic that the surveyed company uses:

  • Types of technologies are being utilized in their organization:
    • Both datacenter and cloud infrastructure
    • Microservices
    • Cloud services (ex. AWS, Azure, GCP)
    • Containers (ex. Docker)
    • Container orchestration (e.g. – Kubernetes or Mesos)
  • New Relic products and integrations they use in production today:
    • APM
    • Browser
    • Insights
    • Infrastructure
    • Synthetics
    • Kubernetes
    • Distributed Tracing
  • Key reasons their organization uses New Relic One:
    • To derive value quickly, reserving custom work for real value-added tasks that are unique to your business

Results

The surveyed company achieved the following results with New Relic:

  • Benefits of New Relic One where they have seen a measured improvement:
    • Mean Time to Detection (MTTD) or Mean Time To Recovery (MTTR)
  • Features of New Relic One that they believe will have the greatest impact on their organization:
    • Global search and universal tag filtering
    • Dashboards and chart builder




About This Data

This data was sourced directly from verified users of New Relic by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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