Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

Bugsnag

Stacks1.1K

Followers620

Votes267

Bugsnag vs New Relic: What are the differences?

Pricing Model: Bugsnag offers a flexible pricing model based on the number of monitored applications and monthly error events, allowing customers to choose a plan that suits their needs, while New Relic's pricing is based on the number of hosts and the duration of data retention, which may not be as customizable for all users.
Error Monitoring Focus: Bugsnag is primarily focused on error monitoring and crash reporting, providing detailed information about exceptions, crashes, and alerts for quick identification and resolution of issues. New Relic, on the other hand, focuses on application performance monitoring, providing insights into the overall performance and availability of the system.
Deployment Options: Bugsnag enables deployment flexibility with support for various languages, frameworks, and platforms, including mobile and web applications. New Relic, while also supporting multiple languages and platforms, has a broader scope with additional features like server monitoring and infrastructure visibility.
Integration Possibilities: Bugsnag offers integrations with popular development tools, project management systems, and communication platforms, facilitating seamless collaboration and reporting. New Relic also provides integrations but has a wider range of supported tools and services, enabling a more comprehensive monitoring and reporting experience.
Alerting Capabilities: Bugsnag allows users to set up customizable alerts for specific error events, helping teams stay informed about critical issues in real-time. New Relic provides alerting functionality as well but extends it beyond error events, covering performance thresholds, infrastructure events, and other metrics.
User Interface and User Experience: Bugsnag is known for its user-friendly interface, focused on providing clear and actionable insights through well-designed dashboards and reports. New Relic, while also user-friendly, may require more setup and configuration due to its broader range of features and options.

In Summary, Bugsnag and New Relic differ in their pricing model, error monitoring focus, deployment options, integration possibilities, alerting capabilities, and user experience.

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Advice on New Relic, Bugsnag

Medeti

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

AWS Elastic Load Balancing (ELB)

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?

1.51M views1.51M

Comments

Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

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

457k views457k

Comments

Attila

Founder at artkonekt

Mar 24, 2020

Decided

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.

471k views471k

Comments

Detailed Comparison

New Relic	Bugsnag
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.	Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.
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	Root cause error grouping; Support for over 50 languages and platforms including JavaScript, iOS, Android, Python, Ruby and Java; Real-time alerting to chat, email or SMS; Full stacktrace per exception; Trace user actions leading to an error with Breadcrumbs; Debug quickly with user and environmental diagnostic data for every exception; Manage errors with snooze, silence and assigning issues; Issue tracker integration; SaaS or Offline; Spike detection alerting; Automatic regression detection; Include custom data such as A/B test group or customer tier; Track error rates by release and deploy; Trace customer bugs by email, name, ID or domain; SAML, Okta and One-Login support; Full API
Statistics
Stacks 21.0K	Stacks 1.1K
Followers 8.7K	Followers 620
Votes 1.9K	Votes 267
Pros & Cons
Pros 414 Easy setup 344 Really powerful 245 Awesome visualization 194 Ease of use 151 Great ui Cons 20 Pricing model doesn't suit microservices 10 UI isn't great 7 Visualizations aren't very helpful 7 Expensive 5 Hard to understand why things in your app are breaking	Pros 45 Lots of 3rd party integrations 42 Really reliable 37 Includes a free plan 25 No usage or rate limits 23 Design Cons 2 Bad billing model 2 Error grouping doesn't always work
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Lighthouse Android SDK Angular Django PagerDuty React Native Jira Bitbucket Ember.js Spring

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