Airbrake vs. IBM Cloud Pak for AIOps vs. Sentry

Airbrake is very good at what it does, I don’t really have any criticism at all on that front. It’s less well-suited when bugfixing goes beyond the immediate error and means looking at a lot of context (particularly asynchronous context) like logs.

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IBM Watson AIOps is well suited for IT Asset Management tasks due to its insightful dashboard that leads our IT Team to track IT Asset usage/requirements in real-time. We have also enjoyed using the reports provided for IT Asset Management which we provide to our upper management team for predictive budgeting purposes. We found that IBM Watson AIOps is not as well suited for our Application resource automation as the tuning (aggressiveness) is not as tunable as we would like.

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Great for standard web application performance monitoring, analytics and error reporting. Shows line level code errors, gives insight into performance issues (plugins, API issues, etc.). Automation and scheduled scanning in production gives client visibility into 'after deployment' value. Also lets a relatively small number of developers keep tabs on a handful of different site/applications without needing a bunch of tools. The UI is pretty complicated and can be overwhelming for new users. Documentation could be better for the learning curve,

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• Integration with most of languages and frameworks as well support via existing logging configs.
• Aggregations on occurrences which helps to understand and analyse issues better.
• Web UI displays all error related parameters which I never could have figured out in manual debugging.

• Easy management of multiple data center from single platform.
• Multiple host issues management and also nice file management tool.
• Effective interactive chatbot building.

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• Great web interface. Lots of data available in a really clean format, with filtering options and more.
• Per-user exception tracking. User is complaining about something being broken? Look up their account ID in Sentry and you can see if they've run into any exceptions (with device information included, of course).
• Source map uploading. Took a little while to figure this out but now we have our deploy script upload sourcemaps to Sentry on each deployment, meaning we get to see stack traces that aren't obfuscated!
• Very generous free tier – 10,000 events per month. We're nowhere near that yet.

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• We use Airbrake in conjunction with OpsGenie, but I feel like there could be more room for integration between the two.
• I think it would also be nice if there was a GitHub integration that would comment on recently merged error-prone PRs, currently, we need to dig into the error to find the commit.
• Generally, more integrations would be nice as people often forget about Airbrake when they are stressed out about an issue.

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• Deployment procedure documentation can be improved.
• Fine tuning capabilities for IT Asset management could be improved.
• Alerting features could be improved.

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• Alert Configuration. Would be really helpful to have multiple logical groupings within the "If" section of a single configurable alert.
• Alert Copying. Being able to copy an alert from one project to another would be super beneficial.
• Alert Tags. Better UI around how we select which tags are getting sent with each alert instead of a tiny text box.

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Its incredibly versatile, but that leads to complexity for the uninitiated, which can be intimidating. Nevertheless its a well polished product, in our case leading to only using it for a focus on frontend is still more cost effective than buying a one-to-rule-them-all tool...

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I love to use Airbrake and New Relic in conjunction. New Relic has better metrics and data that you can really dig into (especially for optimizations), but the error part has always been kinda meh. I fee like Airbrake has done an awesome job at this

IBM Watson AIOps stacks up well with Turbonomic because it basically is Turbonomic. IBM added Turbonomic's feature set into IBM Watson AIOps and we were therefore quite comfortable shifting to the re-branded version introduced by IBM. We do like the fact that IBM Watson AIOps includes the functionality of Turbonomic.

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It is cheaper and offers better support for front-end applications for enterprise large environments with more then 30 scrum teams and hundreds of micro frontend applications. The configuration options, both with the agent and from the user interface, are superior to other tools, and the documentation is also very easy to use.

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• Hugely reduced frontend errors in devices we don’t often test: means more conversions and sales
• Lets us know immediately when there is an error: shorter error durations also means higher sales
• Ultimately once we’ve solved all the most common bugs: more time for developers to focus on other things

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• Easy to manage and monitor services from one single platform.
• The best and functional solution to host various Cloud environment.
• The management of multiple document and files.

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• So it has helped us for quick error resolutions.
• From dashboard we are able to assign errors to particular member and see when its resolved.
• Without customer informing us about errors we know what happened in real time helps in customer service also.

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