We performed a comparison between AppDynamics Server Monitoring and BigPanda based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The auto-discovery of the logs is the most valuable feature. It requires minimal configuration, we just need to set up on once and it automatically detects through the code."
"This solution gives us quite good insights that we might otherwise overlook, or it might take a really long time to debug those issues."
"The event alerting feature or the trigger system is what I like most about AppDynamics Server Monitoring. Whenever an issue occurs, the tool automatically generates an even trigger that tells engineers in the company to take action, so it's an essential feature of AppDynamics Server Monitoring. Another valuable feature of the tool is end-to-end monitoring, which means if you need to debug, you can go transaction by transaction, where the issue lies, and how it's linked. For example, if it's a low-performance issue, you can look into it more through AppDynamics Server Monitoring in terms of which area takes too much time to execute. You can also see the SQL queries and the kind of query going on through the tool."
"The product provides a nice end-user experience."
"The solution offers great visibility that allows you to track where errors originated."
"It is a stable solution. Stability-wise, I don't see any problems in the solution...The solution's technical support was good."
"The platform is reliable in identifying the core system issues."
"We can view the server activities, including issues in the process, with a single click."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The main thing that we like about BigPanda is the user interface."
"A user-friendly solution."
"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."
"The best of a bad lot was the error message deduping."
"Alert aggregation was the primary requirement. 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."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The solution is user-friendly and has good performance and certification."
"If we consider the implementation of alternative solutions, such as Dynatrace, there is a notable difference in the approach to agent-based service monitoring. For instance, Dynatrace employs a single-agent solution, which can pose security concerns. When installing Dynatrace, granting the agent ld pro payload rights is a requirement. In contrast, our solution ensures a more secure approach by not requiring root and administration access. While we currently utilize an agent-based solution, there may be a shift in the next one or two years, possibly with the adoption of Open Telemetry. It's anticipated that many APM vendors, including Dynatrace, may alter their structure or strategy for implementation. However, as of now, the trend is towards an increasing number of implementations daily."
"Things are being done differently in the industry now, and many of these problems are being solved with cloud databases."
"AppDynamics Server Monitoring has room for improvement in terms of pricing. If the price could be cheaper, it would be great for both the customer and the integrator. What I'd like to see in the next release of AppDynamics Server Monitoring is a better dashboard for the customer. The dashboard should be more interactive."
"In the next release, I would like to see the configuration of the data and more support for new applications. It should support new languages."
"The product’s dashboard could be more easy to implement."
"I could not find a user-friendly interface for querying, and analytics sometimes gives the wrong results...I feel that analytics could have been better in searching and running the analytical queries."
"The configuration is tricky and requires a lot of tools."
"The solution has performance issues after we deploy the agent."
"The usability needs to improve, because it is a pure code environment."
"The solution could improve by having better integration."
"The cost of this product is too high compared to New Relic."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"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."
"We had to use a partner for the deployment."
"BigPanda attempts a little of everything and fails at most."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
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AppDynamics Server Monitoring is ranked 20th in IT Infrastructure Monitoring with 16 reviews while BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews. AppDynamics Server Monitoring is rated 8.2, while BigPanda is rated 7.2. The top reviewer of AppDynamics Server Monitoring writes "A highly stable and scalable solution that provides real-time information on servers". On the other hand, the top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". AppDynamics Server Monitoring is most compared with OpsRamp, ITRS Geneos, Zabbix, Nutanix Prism and PRTG Network Monitor, whereas BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and PagerDuty Operations Cloud. See our AppDynamics Server Monitoring vs. BigPanda report.
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