Splunk Observability Cloud and Kentik compete in the network and application monitoring category. Splunk Observability Cloud holds the upper hand in terms of infrastructure visibility and data management, while Kentik is superior in real-time traffic analysis and network flow monitoring.
Features: Splunk Observability Cloud provides comprehensive application performance monitoring, offering robust dashboard capabilities and fast log searching. It integrates with multiple cloud environments to deliver end-to-end infrastructure visibility. Kentik excels in network flow analysis and provides real-time traffic insights with features like DDoS alerting and Sankey flow diagrams, offering detailed network activity views essential for traffic optimization.
Room for Improvement: Splunk Observability Cloud needs better tool integrations, scalability, and competitive pricing. Challenges include high costs and complex configurations. Kentik can improve by adding more actionable intelligence and enhancing API usability to react swiftly to anomalies. Users suggest improving integration with application performance data.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports hybrid deployments, offering flexibility but involves complex setups. Customer support is adequate but slow in response times and technical expertise. Kentik is easier to deploy, user-friendly, with effective support, although technical involvement can vary.
Pricing and ROI: Splunk Observability Cloud's pricing, based on data volume, is considered expensive but offers ROI through operational efficiencies and visibility. Kentik's device-oriented pricing is competitive but still costly for some users. Both solutions demonstrate ROI by minimizing downtime and enhancing insights, with Splunk receiving more cost-related criticisms.
In production environments, especially for service providers on IP networks and data centers, Kentik helps in reducing the time to identify and resolve issues.
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.
I have mostly used forums for any support needed because the setup is straightforward and the documentation is quite good.
They have monthly calls and discuss the product roadmap with us to determine what is needed.
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.
Kentik's integration with Kubernetes makes scaling easier.
You can scale as many devices and tests as you want, but you should have a good number of credits in your accounts.
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.
In production, however, dimensioning of the underlying platforms is something to be mindful of.
Based on stability, I would give Kentik a nine.
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.
More work is required to integrate AI for troubleshooting, simplifying root cause analysis, and providing suggested solutions for network issues.
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.
The pricing is good and aligns with the market target.
Kentik’s pricing is competitive in the marketplace.
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 important feature is cybersecurity.
One of the most valuable features of Kentik, especially for service providers, is its ability to visualize all the BGP peering and the status of the BGP peering platform.
Kentik is easy to use and set up.
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.
Kentik's AIOps Network Traffic Intelligence platform unifies network operations, performance, security, and business intelligence.
With a purpose-built big data engine delivered as public or private SaaS, Kentik captures a high-resolution view of actual network traffic data and enriches it with critical application and business data, so every network event or analysis can be tied to revenue & costs, customer & user experience, performance & risk.
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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