Splunk AppDynamics and LogicMonitor are two notable competitors in the application performance and infrastructure monitoring category. Splunk AppDynamics seems to have the upper hand in robust transaction tracking and comprehensive real-time monitoring, while LogicMonitor offers more competitive pricing and greater accessibility for infrastructure monitoring.
Features: Splunk AppDynamics offers transaction tracking, stack trace analysis, and application flow maps, which help isolate code problem areas and support in-depth application performance analysis. LogicMonitor provides operational dashboards, transaction scorecards, and JVM performance insights, ideal for users focused on integrating data from different environments and infrastructure monitoring.
Room for Improvement: Users of Splunk AppDynamics face challenges with integration, complex licensing, and a need for enhanced support for modern technologies. They also request improvements in network visibility and simplified upgrade paths. LogicMonitor users note its lack of intuitive dashboard configuration and limited in-depth analytics features, with calls for greater automation in reporting and clearer topology maps to enhance the user experience.
Ease of Deployment and Customer Service: Splunk AppDynamics supports a broad range of environments, including public, hybrid, and on-premise clouds, and is praised for its excellent technical support and fast, knowledgeable customer service. LogicMonitor is noted for its ease of deployment in public and hybrid cloud setups but receives mixed feedback on support efficiency, highlighting areas for service responsiveness and resource knowledge improvement.
Pricing and ROI: Splunk AppDynamics is often viewed as expensive due to licensing fees across various features, though it delivers substantial ROI through increased efficiency and time savings. LogicMonitor offers competitive pricing and flexible licensing options, making it attractive for growing infrastructures, with users finding significant ROI in reduced monitoring solutions and better cost-efficiency.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
I did not find any Docker solution available with it, and a separate instance has to be installed.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
I can rate it nine out of ten.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
We find its pricing reasonable and competitive.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
LogicMonitor provides infrastructure and network monitoring, alerting, and reporting across environments like AWS, Azure, and on-premises.
LogicMonitor aids businesses and managed service providers in maintaining system health, performance, and availability. It supports various technologies including Citrix, Cisco Voice systems, operating systems, virtual machines, and network devices. Businesses benefit from dashboards and data insights for proactive management, customizable data sources, and integration with third-party applications like Slack or ServiceNow. AI technology enhances monitoring capabilities by recognizing normal behavior and updating monitored elements, while multiple monitoring features consolidate data sources into one interface.
What are LogicMonitor's key features?
What benefits or ROI should users expect?
LogicMonitor is utilized across diverse industries by managed service providers to ensure seamless monitoring and management of clients' systems. This includes application performance monitoring, manual topology mapping, SLA calculations, and improvement of role-based permissions. Companies also seek enhanced resources view, better collector upgrade processes, and streamlined customization for monitoring from the repository.
Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.
AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.
What are the key features of AppDynamics?In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.
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