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New Relic

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New Relic vs SpeedCurve: What are the differences?

  1. Monitoring Focus: New Relic primarily focuses on application performance monitoring, providing deep insights into code-level issues, server performance, and database queries. On the other hand, SpeedCurve primarily focuses on web performance monitoring, emphasizing front-end performance metrics like page speed, resource loading times, and user experience.

  2. Data Visualization: New Relic offers detailed and customizable dashboards with a comprehensive range of visualization options such as charts, graphs, and data tables. In contrast, SpeedCurve provides visually appealing synthetic and real user monitoring reports that focus on performance trends over time, aiding in quick decision-making for performance improvements.

  3. Alerting Capabilities: New Relic offers robust alerting capabilities that notify users in real-time based on customizable thresholds for various performance metrics. SpeedCurve also provides alerting features but is more focused on alerting based on the impact on user experience metrics like site speed and user interactions.

  4. Integrations: New Relic has a wide range of integrations with popular DevOps and IT tools such as Slack, PagerDuty, and JIRA, enabling seamless workflow automation and collaboration. SpeedCurve integrates with tools like Google Lighthouse and WebPageTest for in-depth performance analysis and offers API integration for custom workflows.

  5. User Segmentation: New Relic allows for segmentation of application performance data based on various attributes like user location, device type, and browser, providing insights into user-specific performance issues. SpeedCurve offers user segmentation based on similar factors but with a primary focus on how different user segments experience web performance to prioritize optimization efforts.

  6. Cost Structure: New Relic's pricing is typically based on the number of hosts or applications being monitored, making it suitable for businesses of all sizes. SpeedCurve's pricing is based on the number of monitor credits or sites being monitored, offering flexibility for organizations with varying levels of web properties.

In Summary, New Relic focuses on application performance monitoring with detailed data visualization and alerting capabilities, while SpeedCurve specializes in web performance monitoring, providing insights on front-end performance metrics, user experience impacts, and optimized cost structure.

Advice on New Relic and SpeedCurve
Needs advice
on
DatadogDatadogNew RelicNew Relic
and
SysdigSysdig

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

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Replies (3)
Recommends
on
DatadogDatadog

Can't say anything to Sysdig. I clearly prefer Datadog as

  • they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
  • easy to code (python) agent plugins / api for own metrics
  • brillant dashboarding / alarms with many customization options
  • pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)

IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.

Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!

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Maik Schröder
Recommends
on
InstanaInstana

Hi Medeti,

you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.

As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/

We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/

Let me know if you need anything on top.

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Attila Fulop
Management Advisor at artkonekt · | 2 upvotes · 319.7K views

I have hands on production experience both with New Relic and Datadog. I personally prefer Datadog over NewRelic because of the UI, the Documentation and the overall user/developer experience.

NewRelic however, can do basically the same things as Datadog can, and some of the features like alerting have been present in NewRelic for longer than in Datadog. The cool thing about NewRelic is their last-summer-updated pricing: you no longer pay per host but after data you send towards New Relic. This can be a huge cost saver depending on your particular setup

https://docs.newrelic.com/docs/accounts/accounts-billing/new-relic-one-pricing-billing/new-relic-one-pricing-billing

I'd go for Datadog, but given you have lots of containers I would also make a cost calculation. If the price difference is significant and there's a budget constraint NewRelic might be the better choice.

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Decisions about New Relic and SpeedCurve
Attila Fulop

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

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Benoit Larroque
Principal Engineer at Sqreen · | 4 upvotes · 417.8K views

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

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Pros of New Relic
Pros of SpeedCurve
  • 415
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 107
    Free tier
  • 80
    Great tool for insights
  • 66
    Heroku Integration
  • 55
    Market leader
  • 49
    Peace of mind
  • 21
    Push notifications
  • 20
    Email notifications
  • 17
    Heroku Add-on
  • 16
    Error Detection and Alerting
  • 13
    Multiple language support
  • 11
    Server Resources Monitoring
  • 11
    SQL Analysis
  • 9
    Transaction Tracing
  • 8
    Azure Add-on
  • 8
    Apdex Scores
  • 7
    Analysis of CPU, Disk, Memory, and Network
  • 7
    Detailed reports
  • 6
    Application Response Times
  • 6
    Error Analysis
  • 6
    Performance of External Services
  • 6
    Application Availability Monitoring and Alerting
  • 5
    JVM Performance Analyzer (Java)
  • 5
    Most Time Consuming Transactions
  • 4
    Top Database Operations
  • 4
    Browser Transaction Tracing
  • 4
    Easy to use
  • 3
    Application Map
  • 3
    Weekly Performance Email
  • 3
    Pagoda Box integration
  • 3
    Custom Dashboards
  • 2
    Easy to setup
  • 2
    App Speed Index
  • 2
    Background Jobs Transaction Analysis
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Incident Detection and Alerting
  • 1
    Team Collaboration Tools
  • 1
    Metric Data Retention
  • 1
    Metric Data Resolution
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Real User Monitoring Overview
  • 1
    Free
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
  • 1
    Super Expensive
  • 0
    Proce
  • 0
    Exceptions
  • 0
    Price
  • 0
    Cost
  • 2
    Easy setup
  • 1
    Understandable reports and great benchmark

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Cons of New Relic
Cons of SpeedCurve
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking
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    What is New Relic?

    The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

    What is SpeedCurve?

    SpeedCurve gives you continuous feedback on how your front-end code is affecting the performance of your website. Get detailed build analysis and performance filmstrips for your own website and then benchmark your performance against the competition to make sure your website loads faster.

    Need advice about which tool to choose?Ask the StackShare community!

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    What companies use SpeedCurve?
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    What tools integrate with New Relic?
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    Blog Posts

    Jul 9 2019 at 7:22PM

    Blue Medora

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    Jul 2 2019 at 9:34PM

    Segment

    Google AnalyticsAmazon S3New Relic+25
    10
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    JavaScriptGitHubGit+33
    20
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    GitHubPythonSlack+25
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    3172
    What are some alternatives to New Relic and SpeedCurve?
    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