To find bottlenecks and to help with debugging and monitoring

How do you know what parts of the workflow need improvement? Measure it. With New Relic in place, we have graphs of our API performance and can directly see if a server or zone is causing trouble, and the impact of our changes. There’s no comparison between a real-time performance graph and “Strange, the site seems slow, I should tail the logs”.

Monitoring and Tracking slow pages in our app

Server and application performance monitoring, alerting, and page/background task tuning.

I use this to track the app performance.

Tracking

Monitoring Buildtime Trend as a Service on Heroku

Performance monitoring.

어플리케이션 서버 및 각종 서버들을 모니터링하는데 이만한 툴이 없습니다. 어플리케이션 서버의 퍼포먼스 드릴다운 모니터링이나 각 서버들의 활성화 상태를 모니터링 하는 용도로 사용합니다.

Free Heroku add-on. Not particularly useful for us. Rails profilers tend to do a better job at the app level. And I can never really figure out what’s going on with Heroku by looking at New Relic. I don’t know if we’re just not using New Relic correctly or if it really does just suck for our use case. But I guess some insight is better than none.

We use New Relic to make sure that our servers are running efficiently.

We can see performance analysis of the layers of the application.

Monitoring of applications

Continuous performance monitoring

We monitor and troubleshoot our app's performance using New Relic, which gives us a great view into each type of request that hits our servers. It also gives us a nice weekly summary of error rates and response times so that we know how well we've done in the past week.

2 years of experience using New Relic for application optimization.

Performance monitoring

To track server health and monitor all stats.

Monitoring via Open Shift integration

Monitoring our code

To monitor server availability and resources usage

Monitoring bare metal servers

We use NewRelic for monitoring our APIs, it's free with Windows Azure which is super!

I'm trying to wring more instrumentation out of New Relic as it pertains to Rack, but for the time being, New Relic is monitoring/alerting uptime and some basic performance metrics.

Tells me when something explodes

We hooked New Relic up to monitor the health or our servers and containers, as well as track the actual app performance.

Stack monitoring

Infrastructure monitoring

New Relic is used both to monitor availability and to find potential candidates for optimization.

Server logging and monitoring.

Free version is good enough

For performance monitoring and tracking deployments

New Relic is awesome for monitoring app performance and status.

basic

used it minimally at talenthouse and for a couple clients.

Server monitoring for a number of backend projects I have worked on.

Just like we care about errors, we care about metrics - especially around performance. You'd be crazy not to use it - and not surprisingly, it's a one-click add-on in Heroku.

Expensive but it gets stuff done

Mobile, Web, and Middleware performance management.

Server and app-level monitoring.

Performance and bug analysis on production environment.

We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

Monitors things like server cpu/memory/disk usage and sends Runbook a webhook when things get out of wack.

custom metrics and monitoring, agent on OpenShift

Monitoring, notifying, escalation, quick diagnostic Datadog does it all

Monitoring is always needed

Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

Centralized dashboard for all application components.

TBD

Statsd, grafana on steroid

Monitoring aws/backend in mobile application iFunny

More scalable platform of Graphite + StatsD + CollectD

Application metrics and server monitoring.

So we know what's not going on, apparently.

Using Datadog for monitoring of personal (docker-based) web sever.

Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

Infrastructure Telemetry, Microservices Monitoring, APM, BPM, Tracing

Monitoring our infrastructure.

Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

We use Datadog to power the TVs in our office that show real-time metrics of uptime, performance and errors.

We use SignalFx to monitor all of SignalFx.. that include the entire stack from core services like Cassandra and AWS EC2 up through custom application metrics from SignalFx itself.