The most valuable features of BigPanda include event deduplication, correlations, and enrichment, which reduce the noise in the environment. It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution. Furthermore, it offers out-of-the-box integrations with tools like ServiceNow and Teams, allowing auto-sharing on Teams channels. Updates made in Teams can be reflected back into BigPanda. View full review »

BigPanda simplifies the process by consolidating multiple monitoring platforms into a single console where I can view all issues. Its automation capabilities are impressive, as it creates and resolves incidents if alerts are resolved without much troubleshooting. This eliminates human effort. Additionally, its automation has significantly improved incident response times, reducing the process to within one minute. View full review »

The feature I find most valuable in BigPanda is the capability to independently resolve incidents. After getting errors from Autosys, I document them in work notes. Receiving confirmation from the L2 team enables me to resolve incidents efficiently. This tool is particularly helpful during high volumes of incidents, such as during maintenance or release periods. Even during suppressions when other tools are unavailable, BigPanda provides alerts, enabling me to track incidents effectively, follow up, and resolve them promptly. View full review »

The alert enrichment feature is the most valuable feature I recommend for any organization using BigPanda. Additionally, unified analytics is another significant feature, especially for those interested in data analytics and statistics. Unified analytics in BigPanda allows users to create various dashboards using existing data. Despite some deprecated built-in dashboards from BigPanda over a year ago, my team successfully implemented our own dashboards utilizing unified analytics. Although there were integration issues, BigPanda extended support to meet our project deadlines. View full review »

BigPanda collects the root cause of events, providing all past data and information in one place. This makes it easier to solve issues based on past incidents. BigPanda's automation uses enrichment mapping files, reducing wait times for incident response. The platform's AI analyzes alert sources and root causes, enhancing real-time incident management and enabling automated resolution. View full review »

BigPanda, being an AIOps platform, efficiently handles a bulk of incidents by using AI to process them as a single request, creating a solution or root cause for the customer. It reduces the homework for us by minimizing human intervention. The alert functionality provides immediate notification of red alerts, prompting required actions and informing customers of service impacts. BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality. View full review »

One of the most valuable features of BigPanda is its user-friendly interface.

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The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding.

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The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection.

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This is an easy and user-friendly solution that has a good UI. BigPanda is great in that it notifies us of problems as well as where they were triggered. It displays all of that and provides an all-round good performance. 

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The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools.

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The most valuable feature is the dashboard. The main thing that we like about BigPanda is the user interface.

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The solution is user-friendly and has good performance and certification.

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The best of a bad lot was the error message deduping.  

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Alert aggregation was the primary requirement. , although we are still implementing our correlation rules.

We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process.

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• Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture.
• Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in.

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BigPanda integrates well with other solutions, such as WatchGuard,

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