Splunk Observability Cloud and Cisco DNA Center compete in the field of IT monitoring and network management solutions. Splunk seems to have the upper hand in application-level observability and dashboard customization, giving it an edge in comprehensive monitoring, while Cisco outshines in network management capabilities and seamless integration with Cisco devices.
Features: Splunk Observability Cloud offers flexible data integration, excellent dashboard customization, and comprehensive application monitoring. Cisco DNA Center is recognized for its strong network management, seamless integration with Cisco devices, and robust security features.
Room for Improvement: Splunk Observability Cloud could improve microservices scaling insights, cost efficiency, and third-party tool integration. Cisco DNA Center could enhance support for non-Cisco hardware, network visibility, and simplify its user interface for easier learning.
Ease of Deployment and Customer Service: Splunk Observability Cloud provides flexible deployment options including on-premises, hybrid, and public cloud and has generally responsive customer service. Cisco DNA Center focuses on on-premises deployment which might limit scalability, with customer service having mixed reviews.
Pricing and ROI: Splunk Observability Cloud is expensive due to data volume-based pricing but reports significant ROI due to advanced analytics. Cisco DNA Center is also costly, affecting mid-market customers, though it offers robust capabilities which necessitate evaluating long-term strategic benefits.
Although Cisco DNA Center is expensive, we have seen a return on investment in terms of time savings.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
Overall, Cisco DNA Center rates eight out of ten as a complete solution.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
The solution is designed for large enterprise companies.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
The AI-driven insights have contributed significantly to faster troubleshooting and predictive analytics.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
The most valuable features include AI-driven insights which make troubleshooting much easier.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Cisco DNA Center offers a comprehensive platform for network automation and management, providing detailed analytics, enhanced security, and streamlined operations for both wired and wireless networks.
Cisco DNA Center integrates with Cisco infrastructure to deliver efficient network automation and management, helping organizations improve network visibility, security, and control. It supports AI-driven analytics and automated workflows to enhance operational efficiency and reduce errors. Challenges include compatibility with third-party systems, steep learning curve, and complex deployment. Its interface facilitates centralized control, vital for troubleshooting, policy management, and configuration management, with support for zero-touch provisioning and SD-Access.
What are the key features of Cisco DNA Center?In sectors such as healthcare, finance, and retail, Cisco DNA Center is utilized for its ability to enhance security and compliance, manage large-scale networks, and provide detailed analytics for better operational decision-making. Its support for location tracking and policy automation ensures efficient network management across diverse environments.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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