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New Relic

SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
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What is New Relic?

New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
New Relic is a tool in the Performance Monitoring category of a tech stack.

Who uses New Relic?

Companies
11358 companies reportedly use New Relic in their tech stacks, including Airbnb, Spotify, and Shopify.

Developers
4764 developers on StackShare have stated that they use New Relic.

New Relic Integrations

Slack, Amazon EC2, Jira, Heroku, and Microsoft Azure are some of the popular tools that integrate with New Relic. Here's a list of all 92 tools that integrate with New Relic.
Private Decisions at about New Relic

Here are some stack decisions, common use cases and reviews by members of with New Relic in their tech stack.

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To find bottlenecks and to help with debugging and monitoring New Relic

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Monitoring and Tracking slow pages in our app New Relic

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Antonio Calderon Jeronimo
Antonio Calderon Jeronimo
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I use this to track the app performance. New Relic

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Thomas Zickell
Thomas Zickell
CEO at Blueprint Marketing | 1 upvotes 0 views
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Tracking New Relic

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Dieter Adriaenssens
Dieter Adriaenssens
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Monitoring Buildtime Trend as a Service on Heroku New Relic

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Continuous performance monitoring New Relic

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Public Decisions about New Relic

Here are some stack decisions, common use cases and reviews by companies and developers who chose New Relic in their tech stack.

Cooper Marcus
Cooper Marcus
Director of Ecosystem at Kong Inc. | 17 upvotes 96.9K views
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I've used more and more of New Relic Insights here in my work at Kong. New Relic Insights is a "time series event database as a service" with a super-easy API for inserting custom events, and a flexible query language for building visualization widgets and dashboards.

I'm a big fan of New Relic Insights when I have data I know I need to analyze, but perhaps I'm not exactly sure how I want to analyze it in the future. For example, at Kong we recently wanted to get some understanding of our open source community's activity on our GitHub repos. I was able to quickly configure GitHub to send webhooks to Zapier , which in turn posted the JSON to New Relic Insights.

Insights is schema-less and configuration-less - just start posting JSON key value pairs, then start querying your data.

Within minutes, data was flowing from GitHub to Insights, and I was building widgets on my Insights dashboard to help my colleagues visualize the activity of our open source community.

#GitHubAnalytics #OpenSourceCommunityAnalytics #CommunityAnalytics #RepoAnalytics

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Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter | 16 upvotes 1.7M views

Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

Future improvements / technology decisions included:

Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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I need to choose a monitoring tool for my project, but currently, my application doesn't have much load or many users. My application is not generating GBs of data. We don't want to send the user information to New Relic because it's a 3rd party tool. And we can deploy Kibana locally on our server. What should I use, Kibana or New Relic?

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Sebastian G臋bski
Sebastian G臋bski
CTO at Shedul/Fresha | 4 upvotes 486K views

Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

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Jerome Dalbert
Jerome Dalbert
Senior Backend Engineer at StackShare | 4 upvotes 220.3K views

We currently monitor performance with the following tools:

  1. Heroku Metrics: our main app is Hosted on Heroku, so it is the best place to get quick server metrics like memory usage, load averages, or response times.
  2. Good old New Relic for detailed general metrics, including transaction times.
  3. Skylight for more specific Rails Controller#action transaction times. Navigating those timings is much better than with New Relic, as you get a clear full breakdown of everything that happens for a given request.

Skylight offers better Rails performance insights, so why use New Relic? Because it does frontend monitoring, while Skylight doesn't. Now that we have a separate frontend app though, our frontend engineers are looking into more specialized frontend monitoring solutions.

Finally, if one of our apps go down, Pingdom alerts us on Slack and texts some of us.

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Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, New Relic. Has anyone used Site24X7? If so, what are your opinions of the tool itself? I know that the license costs are very low compared to other tools in the market, but other than that are there any major issues anyone has encountered using the tool itself?

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New Relic's Features

  • Performance Data Retention
  • Real-User Response Time, Throughput, & Breakdown by Layer
  • App Response Time, Throughput, & Breakdown by Component
  • App Availability Monitoring, Alerting, and Notification
  • Automatic Application Topology Mapping
  • Server Resource and Availability Monitoring
  • Error Detection, Alerting, & Analysis
  • JVM Performance Analyzer
  • Database Call Response Time & Throughput
  • Performance Data API Access
  • Code Level Diagnostics, Transaction Tracing, & Stack Trace Details
  • Slow SQL and SQL Performance Details
  • Real-User Breakdown by Web Page, Browser, & Geography
  • Track Individual Key Transactions
  • Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map

New Relic Alternatives & Comparisons

What are some alternatives to New Relic?
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Airbrake
Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
See all alternatives

New Relic's Followers
4838 developers follow New Relic to keep up with related blogs and decisions.
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