BigPanda

What do you like best about the product?

Bigpanda can manage alerts from multiple monitoring systems. It clearly displays the alert timeline, including when each alert was resolved. This makes incident handling simpler, more effective, and easier to follow.

What do you dislike about the product?

The main issue I’ve noticed is alert correlation and grouping. Bigpanda isn’t able to consistently group related alerts, and sometimes it shows separate alerts even though they were triggered by the same device or node.

What problems is the product solving and how is that benefiting you?

One of the main problems BigPanda solves for us is handling the large number of alerts that come from different monitoring tools. It helps bring those alerts together and provides better visibility. As a result, we can handle and monitor incidents in a better way.

What do you like best about the product?

BigPanda is a useful AI-powered platform for IT operations because it helps me with large amounts of alerts and monitoring data. I like how it can correlate different events and turn them into more meaningful incidents instead of making teams manually review every alert. Its AI features can also provide incident summaries, identify possible root causes, and recommend actions, which can make troubleshooting much faster.

What do you dislike about the product?

BigPanda is mainly designed for enterprise IT and operations teams, so it can feel complex if you are not already familiar with monitoring, incident management, and AIOps. It also depends on having good integrations and data from your existing IT tools to provide useful context.

What problems is the product solving and how is that benefiting you?

It helps me to get alert noise, correlate events from different monitoring systems, accelerate incident investigation, and automate parts of incident response. Its newer AI capabilities can also analyze operational data using natural language and generate insights from incidents and trends

What do you like best about the product?

I highly value its intelligent event correlation engine, which dramatically reduces alert noise from our diverse monitoring stacks and helps the team focus on actual critical incidents.

What do you dislike about the product?

The initial configuration and fine-tuning of custom correlation logic for our older, legacy monitoring tools required a steeper learning curve and much more time than initially anticipated.

What problems is the product solving and how is that benefiting you?

It mitigates severe alert fatigue by clustering thousands of raw monitoring events into actionable incidents, which significantly accelerate our mean time to resolution (MTTR) and minimizes service disruptions.

What do you like best about the product?

I find BigPanda most appealing because it effectively filters out alert noise and provides a concentrated perspective on situations. It simplifies incident triage by grouping related events together, which makes it easier to identify and focus on the problems that truly matter. This means my team spends less time chasing a long list of individual alerts and can concentrate on the issues that require attention. The process significantly reduces time spent on incident prioritization and helps us get to the root of problems more quickly. The initial setup was straightforward, and once integration was implemented, the platform was simple to use for my team.

What do you dislike about the product?

The amount of tweaking required to enable the correlation and alerting to function precisely as desired is one area that could be improved. To ensure that related events are appropriately categorized and the team isn't still experiencing needless noise, some fine-tuning may be necessary in a larger setting. Additionally, I would like additional freedom to modify incident views and dashboards for various operations teams. Stronger incident reporting and analytics are other things I'd like to see. Without requiring as much human analysis, it would be helpful to simply monitor trends like recurrent problems, alert volume, and response times. The team would be more confident in the incident suggestions if they had better insight into the reasons behind the correlations between certain incidents.

What problems is the product solving and how is that benefiting you?

BigPanda reduces alert noise and consolidates related events, streamlining incident management and improving prioritization. It saves us time on individual alerts and boosts incident response efficiency, allowing the team to focus on critical issues.

What do you like best about the product?

I like big Panda because it quickly identify and correlates IT shows helping teams, resolve incident faster and reduce downtime

What do you dislike about the product?

I dislike that my big panda can be complex to configure and may require significant customisation for special business

What problems is the product solving and how is that benefiting you?

Big Panda reduces alert noise and quickly identifies the root cause of IT incidents, helping me resolve issues faster and minimise downtime

What do you like best about the product?

I like big panda because it leverages AI to correlate and prioritise IT alerts helping identify and resolve incidents faster.

What do you dislike about the product?

One thing I dislike about big Panda is that it can have a learning cough during initial set up and tuning, specially in complex environment

What problems is the product solving and how is that benefiting you?

A big panda solve the problem of alert overload by using AI to correlate related incidents and identify root causes faster benefits by reducing manual efforts, issue resolution and improving overall system reli

What do you like best about the product?

They have a very nice and slick UI interface, modern and clean UI which really helps me to look through the incidents, alerts, and monitored data. The layout of info has impressed me because it is so easy to navigate to find the necessary details of incidents, alerts, etc. Their performance is quite good for us and even though we were getting a high number of alerts, BigPanda always was performing well without any lag.

What do you dislike about the product?

I think my main concern is the cost as you scale in terms of users and number of alerts. It can get pricey very quickly with all of your alerts, and systems being watched. The integration experience is good across the board, but some of the integrations require a lot of setup and tinkering to work the way you intended. Making these integrations easier to set up for basic functionality could enhance my experience.

What problems is the product solving and how is that benefiting you?

BigPanda has the features around AIOps for bringing related alerts together and noise reduction. That helps us correlate and look for underlying patterns or issues and our engineers get a more defined beginning in troubleshooting when incidents arise. This also saved a bit of time instead of having our engineers go through individual alerts. Support has also been responsive if we do run into any problems with BigPanda. More complex cases take a bit longer but are eventually sorted out. Overall it has given us a streamlined experience for monitoring and incident response.

What do you like best about the product?

Big Panda's Open Box Machine Learning architecture uses transparent logic to cluster alerts into an incident unlike other tools that just group alerts or predict a root cause without explaining why. BigPanda has completely transformed how our team handles operational alert noise. By consolidating millions of fragmented alerts into actionable incidents, it has drastically reduced our alert fatigue and cut down our MTTR. While it does require a serious investment in upfront data tuning and comes with a premium enterprise price tag, the return on investment is undeniable. It bridges the gap between our monitoring tools and ServiceNow beautifully, saving our analyst hours of manual troubleshooting during outages.

What do you dislike about the product?

We do have few legacy log sources that send inconsistent data and so BigPanda cannot correlate it properly as it relies on tagging, normalization, and regular expressions to group alerts. This is causing us to continually tune rules.

What problems is the product solving and how is that benefiting you?

Big Panda has the ability to consolidate millions of noisy, false positive alerts into a handful of distinct incidents which helps in almost 90% Noise Reduction, eliminates alert fatigue, and stops analysts from chasing false positives. We can also leverage our workforce talent to focus on high-value tasks by eliminating repetitive L1 routing.

What do you like best about the product?

BigPanda consolidates alerts from multiple monitoring platforms and filters out noise, helping operations teams quickly identify actionable incidents, prioritize critical issues, and engage the appropriate technical teams. Once you grasp how it works, it becomes highly practical.

What do you dislike about the product?

The initial setup and tuning take time. Integrating multiple monitoring platforms and fine-tuning alert-correlation rules took us longer than expected.

What problems is the product solving and how is that benefiting you?

BigPanda has solved our problem of dealing with hundreds of alerts from various monitoring tools. Correlated incidents are grouped together, reducing duplicate alerts and providing our operations team with a centralized view of incidents. We can prioritize issues faster, coordinate better with support teams, and spend less time logging into multiple monitoring tools.

What do you like best about the product?

Best AI platform for managed services teams, such as Security or Enterprise Infrastructure, where Bigpanda consolidates alerts coming from different tools like Grafana, AppDynamic, Datadog, and Splunk, and correlates them to identify what caused an incident.

What do you dislike about the product?

When you’re paying for multiple tools plus an orchestration tool, you end up questioning the value you’re getting from the application. Because of that, I see BigPanda as a better fit for larger enterprises that serve global customers, rather than for small and medium-sized businesses.

What problems is the product solving and how is that benefiting you?

It helps end users take a consolidated, more refined approach to handling an outage, instead of having to check and validate multiple applications.