Splunk AppDynamics and Sentry are both leading players in the application monitoring category. Splunk AppDynamics holds an advantage with its comprehensive suite of features designed for deep visibility and transaction tracing, while Sentry stands out in error tracking and real-time insights.
Features: Splunk AppDynamics offers stack trace analysis, transaction snapshots, memory monitoring, and proactive alerting, providing transaction-aware insights and visibility across environments. Sentry excels with real-time error tracking, integrating with tools like Slack and GitLab, and provides rich contextual insights aiding in debugging and error resolution.
Room for Improvement: Users of Splunk AppDynamics note a need for better integration with performance testing tools, enhanced network monitoring, and simplified dashboard customization. Sentry users often seek improvements in tool integration capabilities, additional user-tracking elements, and better end-to-end tracing. Both solutions could benefit from a more intuitive user interface for non-technical users.
Ease of Deployment and Customer Service: Splunk AppDynamics offers diverse deployment options including Public, Private, Hybrid Cloud, and On-premises, providing flexibility but complicating initial setup. Their customer service is strong with a responsive and knowledgeable technical support team. Sentry, operating primarily in Public Cloud environments, is known for its simple setup in early development stages. It also has a solid support system with quick resolution times.
Pricing and ROI: Splunk AppDynamics is positioned as a premium solution with comprehensive pricing plans, reflecting its robust functionality and significant ROI reported by users in reduced response times and improved application performance. Sentry is a more cost-effective choice, especially in its open-source version, appealing to startups and smaller projects. Despite its lower cost, Sentry provides features that ensure improved debugging and monitoring.
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.
It has been easy to use and configure across multiple systems, each having several environments.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I did not find any Docker solution available with it, and a separate instance has to be installed.
We have tried it with a maximum of 500 concurrent users, and it provided all the required information.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
Integrations or single sign-on capability with Microsoft would be beneficial for securing all assets.
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.
Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring to Azure.
Customers have to pay a premium price, however, they receive considerable value from the product.
We find its pricing reasonable and competitive.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
Real-time error tracking helps our Quality Assurance team easily identify the root causes of problems or bugs and promptly inform the developers about specific issues.
At this time, I focus on finding and fixing bugs.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
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.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
Sentry is a tool for monitoring web and application performance, tracking errors, processing request times, and managing user data access.
Developers integrate Sentry with web and application environments to capture front-end and back-end errors, utilize error logs, trace requests, and observe metrics without real-time production access. Sentry's use extends to monitoring internal applications, leveraging CyberArk PAM integration, deploying notifications, and detecting silent failures. Users benefit from detailed error and performance reports, contextual cause-stack information, and real-time breakdowns. There is room for improvement, as users desire refined integration and administrative settings, enhanced alert policies, and more customization in event metrics.
What are Sentry's most important features?Sentry is implemented across industries ranging from tech startups to large enterprises. These organizations use Sentry to enhance application reliability, track performance, and secure user data within protected environments. Integration with CyberArk PAM ensures secure deployment. Organizations find Sentry useful for monitoring internal applications, efficiently processing request times, and tracing changes in production without direct access.
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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