Splunk AppDynamics and Evanios are competitors in IT operations and management. AppDynamics has an advantage in pricing and support, while Evanios is preferred for its comprehensive features.
Features: Splunk AppDynamics provides application performance monitoring, transaction tracking, and JVM monitoring. Evanios offers integrated event management, automation for reduced noise, and increased incident response efficiency.
Room for Improvement: Splunk AppDynamics could benefit from improved automation and noise reduction. Its event correlation and real-time insights could be enhanced. Evanios might improve pricing models, documentation, and customer engagement.
Ease of Deployment and Customer Service: Evanios is praised for seamless IT workflow integration and responsive support. AppDynamics has extensive documentation and robust customer service for quicker resolutions. Both have easy deployments, but AppDynamics provides superior customer support.
Pricing and ROI: Splunk AppDynamics offers a cost-effective pricing model for quick ROI with analytical tools enhancing efficiency. Evanios has higher setup costs but delivers substantial ROI with advanced automation features, appealing to organizations maximizing its full capabilities.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
We got a contact, an account manager, to work directly with for technical support.
AppDynamics is much more helpful.
The customer service and support are helpful and responsive.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
We have tried it with a maximum of 500 concurrent users, and it provided all the required information.
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.
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.
It is lacking some documentation, which is why we are always with the AppDynamics team for support to get the details.
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.
Customers have to pay a premium price, however, they receive considerable value from the product.
I work with the AI-powered anomaly detection and root cause analysis for troubleshooting. Users can see the error and the message with the error on the dashboard, and they can see exactly what error they are encountering.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
A key component of the Event Management process is consolidation of events from across the enterprise. By consolidating disparate events into a single solution, they can be de-duplicated and correlated. For example, network failure events can be correlated with system failures, and then prioritized based on service impact.
Reduce the noise
Evanios Integrations allows filtering and processing close to the event source, keeping the weight off of the ServiceNow system for increased performance. Filters are easily configured. EVA, the Evanios consolidation point also has built in event flood control features, to protect against unexpected event storms which can quickly overload traditional integrations.
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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