Alternatives to Raygun logo

Alternatives to Raygun

Airbrake, New Relic, Sentry, Gatling, and Bugsnag are the most popular alternatives and competitors to Raygun.
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What is Raygun and what are its top alternatives?

Raygun is a powerful application performance monitoring tool that provides real-time monitoring, error tracking, user monitoring, and crash reporting capabilities. With Raygun, users can gain insights into application performance issues, errors, and crashes, helping them improve the overall user experience. However, some limitations of Raygun include the relatively high pricing for larger teams and the learning curve involved in setting up and utilizing all its features efficiently.

  1. Sentry: Sentry is a popular open-source error tracking tool that offers real-time error monitoring, crash reporting, and performance monitoring. Key features include customizable alerting, release tracking, and integrations with various platforms. Pros of Sentry include its robust community support and flexibility in customization, while cons include the complexity of setting up and configuring the tool.

  2. New Relic: New Relic is a comprehensive application monitoring tool that provides insights into performance issues, errors, and bottlenecks. Key features include real-time monitoring, server monitoring, and application performance analytics. Pros of New Relic include its user-friendly interface and powerful visualization tools, while cons may include higher pricing for larger applications.

  3. Datadog: Datadog is a cloud-based monitoring service that offers end-to-end visibility into application performance, infrastructure monitoring, and log management. Key features include customizable dashboards, alerting, and integrations with various services. Pros of Datadog include its scalability and advanced analytics capabilities, while cons may include the learning curve for beginners.

  4. Instana: Instana is an automated application performance monitoring tool that offers real-time insights into application performance, infrastructure monitoring, and distributed tracing. Key features include AI-powered analytics, continuous discovery, and trace analysis. Pros of Instana include its ease of use and automatic instrumentation, while cons may include the pricing model based on the number of hosts monitored.

  5. AppDynamics: AppDynamics is an application performance monitoring solution that provides visibility into performance metrics, user experience, and business impact. Key features include real-time monitoring, code-level diagnostics, and business transaction tracking. Pros of AppDynamics include its scalability and comprehensive monitoring capabilities, while cons may include the steep learning curve and pricing for larger deployments.

  6. Stackify Retrace: Stackify Retrace is an application performance management tool that offers real-time monitoring, error tracking, and log management. Key features include code-level performance insights, centralized logging, and automated alerts. Pros of Stackify Retrace include its easy setup and affordable pricing, while cons may include limitations in customization and integrations.

  7. Dynatrace: Dynatrace is an application performance monitoring tool that provides AI-powered insights into performance issues, user experience, and cloud environments. Key features include automatic discovery, root cause analysis, and smart alerting. Pros of Dynatrace include its comprehensive monitoring capabilities and AI-driven analytics, while cons may include higher pricing for enterprise features.

  8. Bugsnag: Bugsnag is an error monitoring and reporting tool that helps developers track and prioritize application errors. Key features include real-time error monitoring, crash reporting, and integrations with various platforms. Pros of Bugsnag include its ease of use and detailed error reports, while cons may include limitations in performance monitoring compared to other tools.

  9. Airbrake: Airbrake is an error tracking tool that provides real-time monitoring, alerts, and dashboards for application errors and exceptions. Key features include automated error grouping, deployment tracking, and integrations with popular frameworks. Pros of Airbrake include its simplicity and cost-effective pricing, while cons may include fewer advanced features compared to other tools.

  10. OverOps: OverOps is an automated code analysis tool that helps developers detect and resolve critical errors in real-time. Key features include code-level insights, continuous profiling, and root cause analysis. Pros of OverOps include its focus on code quality and reliability, while cons may include the learning curve for new users and pricing for larger organizations.

Top Alternatives to Raygun

  • Airbrake
    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. ...

  • New Relic
    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. ...

  • Sentry
    Sentry

    Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health. ...

  • Gatling
    Gatling

    Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support. ...

  • Bugsnag
    Bugsnag

    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. ...

  • AppDynamics
    AppDynamics

    AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...

  • Crashlytics
    Crashlytics

    Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix. ...

  • Stackify
    Stackify

    Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster ...

Raygun alternatives & related posts

Airbrake logo

Airbrake

264
298
128
Airbrake captures and groups errors in Ruby, iOS, Django, PHP & more.
264
298
+ 1
128
PROS OF AIRBRAKE
  • 28
    Reliable
  • 25
    Consolidates similar errors
  • 22
    Easy setup
  • 15
    Slack Integration
  • 10
    Github Integration
  • 7
    Email notifications
  • 6
    Includes a free plan
  • 5
    Android Application to view errors.
  • 4
    Search and filtering
  • 4
    Shows request parameters
  • 2
    Heroku integration
CONS OF AIRBRAKE
  • 0
    Rejects error report if non-latin characters exists

related Airbrake posts

New Relic logo

New Relic

20.7K
8.6K
1.9K
New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
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1.9K
PROS OF NEW RELIC
  • 415
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 106
    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
    SQL Analysis
  • 11
    Server Resources Monitoring
  • 9
    Transaction Tracing
  • 8
    Apdex Scores
  • 8
    Azure Add-on
  • 7
    Analysis of CPU, Disk, Memory, and Network
  • 7
    Detailed reports
  • 6
    Performance of External Services
  • 6
    Error Analysis
  • 6
    Application Availability Monitoring and Alerting
  • 6
    Application Response Times
  • 5
    Most Time Consuming Transactions
  • 5
    JVM Performance Analyzer (Java)
  • 4
    Browser Transaction Tracing
  • 4
    Top Database Operations
  • 4
    Easy to use
  • 3
    Application Map
  • 3
    Weekly Performance Email
  • 3
    Pagoda Box integration
  • 3
    Custom Dashboards
  • 2
    Easy to setup
  • 2
    Background Jobs Transaction Analysis
  • 2
    App Speed Index
  • 1
    Super Expensive
  • 1
    Team Collaboration Tools
  • 1
    Metric Data Retention
  • 1
    Metric Data Resolution
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Real User Monitoring Overview
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Incident Detection and Alerting
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
  • 1
    Free
  • 0
    Proce
  • 0
    Price
  • 0
    Exceptions
  • 0
    Cost
CONS OF NEW RELIC
  • 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

related New Relic posts

Cooper Marcus
Director of Ecosystem at Kong Inc. · | 17 upvotes · 111.2K views
Shared insights
on
New RelicNew RelicGitHubGitHubZapierZapier
at

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

See more
Julien DeFrance
Principal Software Engineer at Tophatter · | 16 upvotes · 3.2M 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.

See more
Sentry logo

Sentry

14.2K
9.1K
863
See performance issues, fix errors faster, and optimize code health.
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+ 1
863
PROS OF SENTRY
  • 237
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
  • 49
    Easy
  • 44
    User-friendly interface
  • 28
    The most important tool we use in production
  • 18
    Hipchat integration
  • 17
    Heroku Integration
  • 15
    Good documentation
  • 14
    Free tier
  • 11
    Self-hosted
  • 9
    Easy setup
  • 7
    Realiable
  • 6
    Provides context, and great stack trace
  • 4
    Feedback form on error pages
  • 4
    Love it baby
  • 3
    Gitlab integration
  • 3
    Filter by custom tags
  • 3
    Super user friendly
  • 3
    Captures local variables at each frame in backtraces
  • 3
    Easy Integration
  • 1
    Performance measurements
CONS OF SENTRY
  • 12
    Confusing UI
  • 4
    Bundle size

related Sentry posts

Lucas Litton
Founder & CEO at Macombey · | 24 upvotes · 278.1K views

Sentry has been essential to our development approach. Nobody likes errors or apps that crash. We use Sentry heavily during Node.js and React development. Our developers are able to see error reports, crashes, user's browsers, and more, all in one place. Sentry also seamlessly integrates with Asana, Slack, and GitHub.

See more
Johnny Bell

For my portfolio websites and my personal OpenSource projects I had started exclusively using React and JavaScript so I needed a way to track any errors that we're happening for my users that I didn't uncover during my personal UAT.

I had narrowed it down to two tools LogRocket and Sentry (I also tried Bugsnag but it did not make the final two). Before I get into this I want to say that both of these tools are amazing and whichever you choose will suit your needs well.

I firstly decided to go with LogRocket the fact that they had a recorded screen capture of what the user was doing when the bug happened was amazing... I could go back and rewatch what the user did to replicate that error, this was fantastic. It was also very easy to setup and get going. They had options for React and Redux.js so you can track all your Redux.js actions. I had a fairly large Redux.js store, this was ended up being a issue, it killed the processing power on my machine, Chrome ended up using 2-4gb of ram, so I quickly disabled the Redux.js option.

After using LogRocket for a month or so I decided to switch to Sentry. I noticed that Sentry was openSorce and everyone was talking about Sentry so I thought I may as well give it a test drive. Setting it up was so easy, I had everything up and running within seconds. It also gives you the option to wrap an errorBoundry in React so get more specific errors. The simplicity of Sentry was a breath of fresh air, it allowed me find the bug that was shown to the user and fix that very simply. The UI for Sentry is beautiful and just really clean to look at, and their emails are also just perfect.

I have decided to stick with Sentry for the long run, I tested pretty much all the JS error loggers and I find Sentry the best.

See more
Gatling logo

Gatling

248
317
21
Open-source load testing for DevOps and CI/CD
248
317
+ 1
21
PROS OF GATLING
  • 6
    Great detailed reports
  • 5
    Can run in cluster mode
  • 5
    Loadrunner
  • 3
    Scala based
  • 2
    Load test as code
  • 0
    Faster
CONS OF GATLING
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed

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Shared insights
on
LocustLocustGatlingGatlingJenkinsJenkins

I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

See more
Vrashab Jian
Shared insights
on
Flood IOFlood IOLocustLocustGatlingGatling

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

See more
Bugsnag logo

Bugsnag

1.1K
618
267
Bugsnag provides production error monitoring and management for front-end, mobile and back-end applications
1.1K
618
+ 1
267
PROS OF BUGSNAG
  • 45
    Lots of 3rd party integrations
  • 42
    Really reliable
  • 37
    Includes a free plan
  • 25
    No usage or rate limits
  • 23
    Design
  • 21
    Slack integration
  • 21
    Responsive support
  • 19
    Free tier
  • 11
    Unlimited
  • 6
    No Rate
  • 5
    Email notifications
  • 3
    Great customer support
  • 3
    React Native
  • 3
    Integrates well with Laravel
  • 3
    Reliable, great UI and insights, used for all our apps
CONS OF BUGSNAG
  • 2
    Error grouping doesn't always work
  • 2
    Bad billing model

related Bugsnag posts

Johnny Bell

For my portfolio websites and my personal OpenSource projects I had started exclusively using React and JavaScript so I needed a way to track any errors that we're happening for my users that I didn't uncover during my personal UAT.

I had narrowed it down to two tools LogRocket and Sentry (I also tried Bugsnag but it did not make the final two). Before I get into this I want to say that both of these tools are amazing and whichever you choose will suit your needs well.

I firstly decided to go with LogRocket the fact that they had a recorded screen capture of what the user was doing when the bug happened was amazing... I could go back and rewatch what the user did to replicate that error, this was fantastic. It was also very easy to setup and get going. They had options for React and Redux.js so you can track all your Redux.js actions. I had a fairly large Redux.js store, this was ended up being a issue, it killed the processing power on my machine, Chrome ended up using 2-4gb of ram, so I quickly disabled the Redux.js option.

After using LogRocket for a month or so I decided to switch to Sentry. I noticed that Sentry was openSorce and everyone was talking about Sentry so I thought I may as well give it a test drive. Setting it up was so easy, I had everything up and running within seconds. It also gives you the option to wrap an errorBoundry in React so get more specific errors. The simplicity of Sentry was a breath of fresh air, it allowed me find the bug that was shown to the user and fix that very simply. The UI for Sentry is beautiful and just really clean to look at, and their emails are also just perfect.

I have decided to stick with Sentry for the long run, I tested pretty much all the JS error loggers and I find Sentry the best.

See more
Jason Barry
Cofounder at FeaturePeek · | 7 upvotes · 165.9K views

Segment has made it a no-brainer to integrate with third-party scripts and services, and has saved us from doing pointless redeploys just to change the It gives you the granularity to toggle services on different environments without having to make any code changes.

It's also a great platform for discovering SaaS products that you could add to your own – just by browsing their catalog, I've discovered tools we now currently use to augment our main product. Here are a few:

  • Heap: We use Heap for our product analytics. Heap's philosophy is to gather events from multiple sources, and then organize and graph segments to form your own business insights. They have a few starter graphs like DAU and retention to help you get started.
  • Hotjar: If a picture's worth a thousand words, than a video is worth 1000 * 30fps = 30k words per second. Hotjar gives us videos of user sessions so we can pinpoint problems that aren't necessarily JS exceptions – say, logical errors in a UX flow – that we'd otherwise miss.
  • Bugsnag: Bugsnag has been a big help in catching run-time errors that our users encounter. Their Slack integration pings us when something goes wrong (which we can control if we want to notified on all bugs or just new bugs), and their source map uploader means that we don't have to debug minified code.
See more
AppDynamics logo

AppDynamics

305
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68
Application management for the cloud generation
305
623
+ 1
68
PROS OF APPDYNAMICS
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Easy Setup
  • 6
    Comprehensive Coverage of Programming Languages
  • 4
    Deep DB Troubleshooting
  • 3
    Excellent Customer Support
CONS OF APPDYNAMICS
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services

related AppDynamics posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M views

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

See more

We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.

In addition to core Azure services, we will be hosting other components - including MongoDB, Keycloak, PagerDuty, etc. Our applications are largely C# and React-based using frontend for Backend patterns and Azure API gateway. In addition, there are close to 50+ external services integrated using both REST and SOAP.

See more
Crashlytics logo

Crashlytics

1K
614
340
The world's most powerful, yet lightest weight crash reporting solution. Free for everybody.
1K
614
+ 1
340
PROS OF CRASHLYTICS
  • 78
    Crash tracking
  • 56
    Mobile exception tracking
  • 53
    Free
  • 37
    Easy deployment
  • 25
    Ios
  • 15
    Great ui
  • 11
    Great reports
  • 10
    Android
  • 8
    Advanced Logging
  • 7
    Monitor Tester Lifecycle
  • 3
    Mac APP and IDE Plugins
  • 3
    Great User Experience
  • 3
    In Real-Time
  • 3
    iOS SDK
  • 3
    Security
  • 3
    Android SDK
  • 2
    The UI is simple and it just works
  • 2
    Best UI
  • 2
    Light
  • 2
    Real-time
  • 2
    Seamless
  • 2
    Painless App Distribution
  • 2
    Crash Reporting
  • 2
    Beta distribution
  • 2
    Mobile Analytics
  • 2
    Deep Workflow Integration
  • 1
    IOS QA Deploy and tracking
  • 1
    Easy iOS Integration
CONS OF CRASHLYTICS
    Be the first to leave a con

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    Алексей Нестерчук
    Shared insights
    on
    AWS ConfigAWS ConfigCrashlyticsCrashlytics

    From firebase Crashlytics, everything is simple, we install SDK and configs, and then we can see all the crashes. With AWS, it is not clear to me which service to use for the same purpose as configuring it. Correctly I understand that for automatic sending of all crashes, you need to use AWS Config?

    See more

    When we first built the ArifZefen app our focus was around validating our business assumptions and finding a good product fit. Once we got to a few thousand users, it became clear that we needed to make quality a priority and that meant we needed a reliable tool that will allow us to monitor the health of our app. Crashlytics (now Fabric by Twitter ) was on a short list of solutions we closely explored and we were very happy with its ease of integration and the consistency it brought to our Cocoa Touch (iOS) and Android SDK crash monitoring.

    Its daily pulse emails were also super informative in giving us a good sense of how each platform was doing in terms of crash-free and new users, daily actives and other relevant session data. These emails also surfaced any anomalies in daily trends, alerting us of any reason for concern. Overall, Crashlytics was instrumental in allowing us to quickly discover and diagnose crashes and it is one of the main reasons we were able to keep our app store ratings reasonable high. But perhaps even more importantly, we were able to set a high quality bar for our users that absent Crashlytics would have been difficult to maintain.

    See more
    Stackify logo

    Stackify

    34
    69
    56
    Performance. Metrics. Errors. Logs. One platform
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    + 1
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    PROS OF STACKIFY
    • 8
      Error tracking
    • 7
      Monitoring
    • 7
      Easy setup
    • 7
      Log management
    • 6
      Real-time application health
    • 6
      Alerting
    • 6
      Application performance
    • 5
      exception tracking
    • 2
      Application Performance management
    • 1
      Good for .NET and Windows Server
    • 1
      Great APM with integrated log & exception management
    CONS OF STACKIFY
      Be the first to leave a con

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