Splunk AppDynamics and Prometheus Group both compete in the application performance monitoring and metrics monitoring space. Splunk AppDynamics has the upper hand with more detailed monitoring capabilities, making it preferable for enterprises requiring comprehensive insights.
Features: Splunk AppDynamics offers detailed stack tracing, JVM monitoring, and business transaction tracking. It supports deep drill-down capabilities, proactive alerting, and SaaS-based access. Prometheus Group provides flexibility with its industry-standard metrics monitoring and numerous integrations.
Room for Improvement: Splunk AppDynamics could improve its user experience by making dashboards more intuitive and enhancing integration with modern cloud technologies. Mobile access challenges and support for newer languages could be addressed. Prometheus Group needs better visualization capabilities, complex use case integration, and an improved query language for accessibility.
Ease of Deployment and Customer Service: Both products support deployment across public, private, hybrid cloud, and on-premises environments. Splunk AppDynamics is noted for its excellent customer service and dedicated account managers. Prometheus Group offers reliability through a community-supported model, which might lead to slower resolutions for complex issues.
Pricing and ROI: Splunk AppDynamics is a premium-priced solution with various licensing options. It offers ROI through enhanced performance and issue resolution. Prometheus, being open-source, provides cost-effective metrics monitoring, ideal for budget-conscious organizations. While Prometheus is affordable for basic monitoring, Splunk AppDynamics can yield higher ROI with comprehensive insights and support, offsetting its higher initial costs.
Using open-source Prometheus saves me money compared to AWS native services.
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.
Prometheus does not offer traditional technical support.
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.
Prometheus is scalable, with a rating of ten out of ten.
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.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
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.
Prometheus is cost-effective for me as it is free.
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.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
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.
Prometheus Group specializes in robust monitoring and observability, offering comprehensive data collection, analysis, and visualization across cloud and on-premise environments. Its integration with tools like Python, Java, and Kubernetes enables users to track metrics efficiently.
Prometheus Group provides an open-source, customizable platform focused on flexibility and reliability. Its integration with Grafana enhances data visualization while supporting complex infrastructures for improved productivity. Users rely on its scalable architecture for effective monitoring and observability, aiding performance analytics and alerting. Despite its strengths, challenges with its query language and interface usability persist, along with a need for simpler setup. Enhancing documentation and reporting capabilities remains essential for broader adoption, especially among less technical users.
What are the standout features of Prometheus Group?Prometheus Group is widely implemented across industries like cloud services and IT infrastructure. Organizations monitor infrastructure, applications, and databases, utilizing its capabilities for system scalability and health checks within Azure and Amazon ecosystems. Its integration with Kubernetes supports performance monitoring and ensures reliable data analytics, fostering comprehensive metric tracking.
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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