Splunk AppDynamics and Splunk Observability Cloud both compete in the monitoring solutions category. Based on features and user preferences, AppDynamics seems to have the upper hand in code-level insights and transaction tracking, while Splunk Observability Cloud excels in integration and scalability for hybrid environments.
Features: AppDynamics offers detailed transaction tracking, dynamic baselining, and deep code-level insights. It excels in identifying performance bottlenecks through JVM performance metrics, stack trace analysis, and deep-dive diagnostics. Splunk Observability Cloud provides dense integration capabilities, offering comprehensive visibility across hybrid environments, efficient performance metrics analysis, and easy scalability to effectively manage large-scale deployments.
Room for Improvement: AppDynamics users report difficulties with dashboard creation and seek improved network monitoring integration. AppDynamics also faces challenges with seamless upgrades and has a complex licensing model. Splunk Observability Cloud could enhance its alert system and improve log navigation. Users also desire better integration with various platforms to optimize its usability and perform more complex analyses efficiently.
Ease of Deployment and Customer Service: Splunk AppDynamics supports versatile environments including on-premises, public, and hybrid cloud setups, though it requires more initial configuration. Its customer service is robust with responsive support. Splunk Observability Cloud offers a straightforward deployment process for both on-premises and public cloud environments. Users value the clear support structure and prompt response times offered by Splunk.
Pricing and ROI: AppDynamics is known for premium pricing, justified by the ROI gained through reduced downtime and enhanced application performance, although its complex licensing can increase costs unexpectedly. Splunk Observability Cloud, while also considered costly, provides competitive pricing compared to similar tools and flexible licensing models to cater to various needs, ensuring scalability without linear cost increases. Both platforms deliver strong ROI through improved operational efficiency and time savings.
AppDynamics is much more helpful.
The customer service and support are helpful and responsive.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
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've used the solution across more than 250 people, including engineers.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Splunk AppDynamics provides an end-to-end view of the application but misses the infrastructure part, which is crucial.
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.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
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.
It appears to be expensive compared to competitors.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
The baseline of all metrics in the Splunk AppDynamics database is very interesting. It can send alarms or alerts when the database baseline is not correct.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
Saving time with automation can save us weeks. It's improving our resilience.
Unlike other APMs, Splunk's service map is quite effective.
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.
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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