What is Rollbar and what are its top alternatives?
Top Alternatives to Rollbar
- Sentry
Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health. ...
- 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. ...
- 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. ...
- 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. ...
- 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. ...
- 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! ...
- Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...
- Raygun
Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy. ...
Rollbar alternatives & related posts
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.
Need advice on this.
Which one should I use for logging and error monitoring ( Datadog / Sentry / Stackdriver )?
Open to any other solutions.
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!).
- 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
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
New Relic
- Easy setup415
- Really powerful344
- Awesome visualization244
- Ease of use194
- Great ui151
- Free tier107
- 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
- Server Resources Monitoring11
- SQL Analysis11
- Transaction Tracing9
- Azure Add-on8
- Apdex Scores8
- Detailed reports7
- Analysis of CPU, Disk, Memory, and Network7
- Application Response Times6
- Performance of External Services6
- Application Availability Monitoring and Alerting6
- Error Analysis6
- JVM Performance Analyzer (Java)5
- Most Time Consuming Transactions5
- Top Database Operations4
- Easy to use4
- Browser Transaction Tracing4
- Application Map3
- Weekly Performance Email3
- Custom Dashboards3
- Pagoda Box integration3
- App Speed Index2
- Easy to setup2
- Background Jobs Transaction Analysis2
- Time Comparisons1
- Access to Performance Data API1
- 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
- Free1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Incident Detection and Alerting1
- Cost0
- Exceptions0
- Price0
- Proce0
- 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!
We currently monitor performance with the following tools:
- 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.
- Good old New Relic for detailed general metrics, including transaction times.
- 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.
Datadog
- Monitoring for many apps (databases, web servers, etc)137
- Easy setup107
- Powerful ui87
- Powerful integrations83
- Great value70
- Great visualization54
- Events + metrics = clarity46
- Custom metrics41
- Notifications41
- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
- Easy setup and plugins9
- Super easy and powerful8
- AWS support7
- In-context collaboration7
- Rich in features6
- Docker support5
- Cost4
- Source control and bug tracking4
- Automation tools4
- Cute logo4
- Monitor almost everything4
- Full visibility of applications4
- Simple, powerful, great for infra4
- Easy to Analyze4
- Best than others4
- Expensive3
- Best in the field3
- Free setup3
- Good for Startups3
- APM2
- Expensive19
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
related Datadog posts
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
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!
- API for searching logs, running reports3
- Alert system based on custom query results3
- Dashboarding on any log contents2
- Custom log parsing as well as automatic parsing2
- Ability to style search results into reports2
- Query engine supports joining, aggregation, stats, etc2
- Splunk language supports string, date manip, math, etc2
- Rich GUI for searching live logs2
- Query any log as key-value pairs1
- Granular scheduling and time window support1
- Splunk query language rich so lots to learn1
related Splunk posts
I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.
We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.
- Easy setup and brilliant features31
- Integrates with many tools I use (e.g. GitHub, HipChat)19
- Huge range of programming languages supported19
- Support for JavaScript source maps17
- Makes my job so much easier17
- No rate limiting16
- I have so much love for Raygun. Amazing support too15
- Works with Xamarin (including native iOS crashes)15
- Unlimited team sizes on all levels14
- Responsive and fast app13
- Easy setup, fast reporting, and constantly improving9
- Great customer support and awesome T-shirts8
- Real user monitoring3
- Custom dashboards for software health2