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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
AirbrakeAirbrake 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 RelicThe 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. ...
SentrySentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health. ...
GatlingGatling 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. ...
BugsnagBugsnag 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. ...
AppDynamicsAppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...
CrashlyticsInstead 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. ...
StackifyStackify 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
- Reliable28
- Consolidates similar errors25
- Easy setup22
- Slack Integration15
- Github Integration10
- Email notifications7
- Includes a free plan6
- Android Application to view errors.5
- Search and filtering4
- Shows request parameters4
- Heroku integration2
- Rejects error report if non-latin characters exists0
related Airbrake posts
New Relic
- Easy setup415
- Really powerful344
- Awesome visualization245
- Ease of use194
- Great ui151
- Free tier106
- Great tool for insights80
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on17
- Error Detection and Alerting16
- Multiple language support13
- SQL Analysis11
- Server Resources Monitoring11
- Transaction Tracing9
- Apdex Scores8
- Azure Add-on8
- Analysis of CPU, Disk, Memory, and Network7
- Detailed reports7
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Application Response Times6
- Most Time Consuming Transactions5
- JVM Performance Analyzer (Java)5
- Browser Transaction Tracing4
- Top Database Operations4
- Easy to use4
- Application Map3
- Weekly Performance Email3
- Pagoda Box integration3
- Custom Dashboards3
- Easy to setup2
- Background Jobs Transaction Analysis2
- App Speed Index2
- Super Expensive1
- Team Collaboration Tools1
- Metric Data Retention1
- Metric Data Resolution1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Overview1
- Real User Monitoring Analysis and Breakdown1
- Time Comparisons1
- Access to Performance Data API1
- Incident Detection and Alerting1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Free1
- Proce0
- Price0
- Exceptions0
- Cost0
- Pricing model doesn't suit microservices20
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5
related New Relic posts
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!
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?
Sentry
- Consolidates similar errors and makes resolution easy237
- Email Notifications121
- Open source108
- Slack integration84
- Github integration71
- Easy49
- User-friendly interface44
- The most important tool we use in production28
- Hipchat integration18
- Heroku Integration17
- Good documentation15
- Free tier14
- Self-hosted11
- Easy setup9
- Realiable7
- Provides context, and great stack trace6
- Feedback form on error pages4
- Love it baby4
- Gitlab integration3
- Filter by custom tags3
- Super user friendly3
- Captures local variables at each frame in backtraces3
- Easy Integration3
- Performance measurements1
- Confusing UI12
- Bundle size4
related Sentry posts
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.
This is my stack in Application & Data
JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
Slack
- Great detailed reports6
- Can run in cluster mode5
- Loadrunner5
- Scala based3
- Load test as code2
- Faster0
- Steep Learning Curve2
- Hard to test non-supported protocols1
- Not distributed0
related Gatling posts
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.
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!
Bugsnag
- Lots of 3rd party integrations45
- Really reliable42
- Includes a free plan37
- No usage or rate limits25
- Design23
- Slack integration21
- Responsive support21
- Free tier19
- Unlimited11
- No Rate6
- Email notifications5
- Great customer support3
- React Native3
- Integrates well with Laravel3
- Reliable, great UI and insights, used for all our apps3
- Error grouping doesn't always work2
- Bad billing model2
related Bugsnag posts
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.
There’s a tool called LeakCanary that was built by the team at Square. It detects memory allocations and can spot when this scenario is occurring. LeakCanary has been billed as a memory leak detection library for #Android (and you’ll be happy to know there’s a Bugsnag integration for it as well!).
- Deep code visibility21
- Powerful13
- Real-Time Visibility8
- Great visualization7
- Easy Setup6
- Comprehensive Coverage of Programming Languages6
- Deep DB Troubleshooting4
- Excellent Customer Support3
- Expensive5
- Poor to non-existent integration with aws services2
related AppDynamics posts
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!
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.
Crashlytics
- Crash tracking78
- Mobile exception tracking56
- Free53
- Easy deployment37
- Ios25
- Great ui15
- Great reports11
- Android10
- Advanced Logging8
- Monitor Tester Lifecycle7
- Mac APP and IDE Plugins3
- Great User Experience3
- In Real-Time3
- iOS SDK3
- Security3
- Android SDK3
- The UI is simple and it just works2
- Best UI2
- Light2
- Real-time2
- Seamless2
- Painless App Distribution2
- Crash Reporting2
- Beta distribution2
- Mobile Analytics2
- Deep Workflow Integration2
- IOS QA Deploy and tracking1
- Easy iOS Integration1
related Crashlytics posts
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?
- Error tracking8
- Monitoring7
- Easy setup7
- Log management7
- Real-time application health6
- Alerting6
- Application performance6
- exception tracking5
- Application Performance management2
- Good for .NET and Windows Server1
- Great APM with integrated log & exception management1