BigPanda Reviews

We use BigPanda to connect to Slack, and all our alerts from BigPanda automatically go to Slack. I'm a DevOps engineer and I believe we are customers of BigPanda. 

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. 

We'd like to see additional dashboard features included as part of the solution. What we currently have doesn't show if there is any utilization and how much memory is there. 

I've been using this solution for two years. 

The solution is stable. 

The solution is scalable.

We contacted customer support at the first stage of implementation but I haven't needed to contact them since.

The initial setup is not complex, we did it ourselves in-house. Deployment time depends on the application. If it's a large application it will take some time to set up. For a small application, implementation can be done in five minutes. We currently have over 100 users. 

The licensing costs are reasonable. 

I recommend this solution because we previously had to use several tools that were limited in terms of monitoring. We can now do what we need with one solution. 

I rate this solution eight out of 10. 

If the solution is already deployed in the customer environment, we leverage what the customer has invested in and add on to the existing environment. We use this solution for event management and correlation. We also use it for root cause analysis and SOP-based Runbook Automation. We monitor incident dragging and incident root cause analysis.

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

The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved. A more integrated multi-cloud environment with regards to Azure, Amazon, Google, and the on-prem solution would be a big advantage.

I have been working with BigPanda for three years. 

This is a stable solution. 

This is a scalable solution. Once the use cases are deployed, it is easily expandable. The only step that needs to be taken is for the license component for the add-ons to be procured.

The initial setup is straightforward and it takes four to six weeks. 

If the customer has invested in and paid for a solution, then we leverage this to write the solution. Alternatively, if the customer wants to use BigPanda but has not implemented it yet, they purchase it and we do the implementation and support. The third scenario is that we purchase BigPanda and it goes to our books and the customer gets the advantage of the discount. 

I would rate this solution a nine out of ten. 

We use the solution for a central management console.

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

We had to use a partner for the deployment.

I have been using the solution for one year.

The technical support is good.

The initial setup is straightforward for a professional.

The implementation was completed by a technical partner.

BigPanda is cheaper than the competitors.

I give the solution a seven out of ten.

We have 55 users.

BigPanda is a user-friendly platform that offers good performance and security while utilizing fewer CPU resources. I recommend the solution.

We use this solution for alerting purposes to track the health of our infrastructure and services.

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

The UI for this solution could be improved. It is very hard to find what you are looking for.

We have been using this solution for one year. 

This is a stable solution. 

This is a scalable solution.

I have only needed assistance on one occasion. Once I connected to the support team, they were able to solve my problem.

Neutral

The initial setup is simple and straightforward. It will take half an hour to connect to one thing into BigPanda.

I would advise others to ensure they have internal resources that are good with BigPanda because the UI is not easy to adapt to.

I would rate this solution an eight out of ten.

We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure development with AI. Unfortunately, BigPanda attempts a little bit of everything and fails at most. 

The AI, in particular, was worthless. The visualization is primitive and not configurable. The only thing they seemed to be able to do is to collect a bunch of identical error messages into one - which is great and all, however, hardly the 'advanced AIOPS solution' they tout.   

The best of a bad lot was the error message deduping. We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure DevOps with AI. 

The solution has a hard install, poor customer support, primitive and non-configurable visualizations.  

The best of a bad lot was the error message deduping. We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure DevOps with AI. 

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

Honestly, all areas can use major improvement. We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure DevOps with AI. 

BigPanda attempts a little of everything and fails at most. 

The AI, in particular, was worthless, the visualization primitive and not configurable. 

I've used the solution for 1.5 years.

The product is highly unstable.

The solution is not scalable.

Technical support is non-existent. There is no phone and they don't answer emails for days. Buyer beware.

Negative

We did not use a different solution.

The setup is incredibly complex in hindsight. They had two engineers working around the clock for a simple setup. It was ridiculous. Moog was way smoother. 

We did the implementation via a vendor.

We got no return on our investment, unfortunately.

I'd advise people to stay away from BP.

We did evaluate Splunk.

We use BigPanda for monitoring and management. Our servers are all configured with New Relic, which sends the data to BigPanda.

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

The cost of this product is too high compared to New Relic.

It would be helpful if we could receive alerts through IP.

We have been using BigPanda for the past year.

My impression is that it's stable.

We have nearly 6,000 servers configured to use BigPanda.

We haven't had any problems so we haven't needed to contact technical support.

The initial setup is complex.

We pay $200,000 USD per year.

We are currently doing research on Moogsoft and are looking to move to it from BigPanda. The reason that we are switching is an issue of cost.

Overall, it is very basic to use. I am satisfied with all of the features and our only complaint is about the high cost.

I would rate this solution an eight out of ten.

We use BigPanda to aggregate alerts from multiple sources (Nagios, Sensu, Wavefront, Splunk, etc.) and correlate related alerts into incidents.

Historically, much of our incident management process has been manual. NOC engineers would manually create a ticket, create a Slack channel, and escalate out to the necessary teams to troubleshoot an issue. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue. This has been a dramatic improvement.

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.

Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline.

Generally, the product has been pretty stable.

At times of peak alert volume (during a significant incident) we have seen some delay in alert ingestion into the platform.

Their support organization has been great to work with. They are very responsive to issues we raise and are proactive in contacting us when they detect a problem with our instance. Additionally, they have been extremely flexible in working to meet our requirements - creating custom integrations where needed - to tie in all our monitoring and incident management tools.

Previously, we have used Nagios Check_Mk (aka Multisite) as well as Sensu Uchiwa dashboard to aggregate alerts. With Nagios, were were experiencing scaling issues with the core server platform, given the number of hosts we have in a typical datacenter. Sensu Server solved the scaling issue for us but the monitoring UI for Sensu (Uchiwa) was very difficult to use and had a lot of performance issues. We needed a tool to pull together multiple Sensu instances and provide a workable interface.

It was fairly straightforward. For Nagios, we used their standard, out-of-the-box agent. For Sensu, BigPanda worked with us to customize their standard integration to perform better with our high alert volume. They also worked with us on a custom integration to Wavefront, which we use to alert on time series data.

They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license.

In addition to BigPanda, we looked at Moogsoft.

I think BigPanda is a great company with a quality product. As with any largescale tooling change there will be challenges, but the team was very responsive in resolving issues.

We primarily use this solution for predictive analysis and for enhancing our forecast.

The usability needs to improve because it is a pure code environment. It would be good if they could have a pre-designed code like the new tools that are in the market now. UiPath, for example, offers drag and drop. If this feature can be added, I think it will be a breakthrough. It will completely change the solution and attract even seasonal coders and make it more valuable. 

The program is very stable. We have a team who was managing everything, so whenever there is an issue, they know how to handle it. 

We have thirteen or fourteen users in our office, but thousands of users in remote offices. We plan to increase our usage but as we have other predictive analysis, I cannot confirm that it will be 100% BigPanda. We will do a market analysis from the very beginning and base it on the team that will be involved in the project. It will depend on if they are familiar with this tool or not. In the end, we may be using a combination of tools.

We use BigPanda now and we will continue to do so, as long as it can deal with machine learning and artificial intelligence predicted by analysis, as it is our main focus. As much as it's a new product in the market, we are also flexible to get any product that we are interested in. 

The initial setup was straightforward because we have the tools within our company as well as the infrastructure. We also have a team of internal consultants who are responsible for that. But I believe it depends on the project.

My advice to others would be to test it out and to build your experience. Get familiar with the tool first to see if it covers their needs. Compare it with other programs out on the market.

On a scale of one to ten, I will rate this solution a seven.

Event management.

Since implementing BigPanda, we have reached and sustained our highest SLA hit rate in four years.

• 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.

Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda.

Having said that, BigPanda has been awesome at taking feedback from their customers and providing good solutions in response to the feedback received.

There have been a few service interruptions since we implemented BigPanda, but the notifications regarding service interruptions, and/or communications with the team during these times, have been very timely.

We have not yet encountered any issues with scalability. We are sending a lot of alerts and information to BigPanda and it has had no problem ingesting them.

Technical support is responsive, timely, and helpful.

We previously used a different solution. We switched because it did not provide all the things we needed (alert correlation on top of deduplication, machine learning) as well as the ability to easily integrate with multiple monitoring sources.

Initial setup was straightforward. We worked hand in hand with the folks from BigPanda to properly assess what we should be focusing on in our milestones, in getting it up and running.

Moogsoft and ServiceNow.

If you're looking for a SaaS which truly believes in software as a service, BigPanda is definitely the solution to go for. They believe in a working partnership with their customers and they are truly invested in their customer's success.

BigPanda is an endpoint protection solution against ransomware.

BigPanda integrates well with other solutions, such as WatchGuard,

The solution could improve by having better integration.

I have been using this solution for approximately five years.

The solution is stable.

I have found BigPanda to be scalable.

We have approximately 100 users using this solution in my organization.

The technical support is very good.

The installation is very easy.

I would recommend this solution to others.

I rate BigPanda a nine out of ten.