IBM Cloud Pak for AIOps (formerly IBM Watson AIOps) allows users to deploy advanced, explainable AI on an open platform to assess, diagnose, and resolve incidents across mission-critical workloads. With it, users can extend the event analytics from IBM Netcool Operations Insight with real-time analysis of unstructured data, holistic correlation, and ChatOps integration; or, users can augment an existing monitoring solutions.
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Sentry
Score 8.7 out of 10
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Sentry provides engineering teams with tools to detect and solve user-impacting bugs and other issues.
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.
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,
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.
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...
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.
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.