Splunk Observability Cloud and Nagios Core are competitive products in the field of infrastructure monitoring. Based on the analysis, Splunk Observability Cloud seems to have the upper hand due to its advanced data handling and quicker deployment.
Features: Splunk Observability Cloud provides robust data monitoring, customizable dashboards, and seamless cloud integration. Nagios Core offers extensibility, server flexibility, and reliable infrastructure monitoring capabilities.
Room for Improvement: Splunk Observability Cloud could improve cost-efficiency, expand system integration, and enhance support features. Nagios Core requires a simplified setup, a more intuitive graphical interface, and scalability improvements.
Ease of Deployment and Customer Service: Splunk Observability Cloud is quick to deploy with hybrid environment support but may require customer service for complex configurations. Nagios Core’s deployment is labor-intensive, relying heavily on manual configuration and Linux knowledge, benefiting from strong community support.
Pricing and ROI: Splunk Observability Cloud is expensive, with pricing tied to data volume but offers considerable ROI in efficiency and downtime reduction. Nagios Core, being free and open-source, offers cost-effective monitoring solutions with substantial cost benefits for those investing in custom configurations and in-house expertise.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
The solution is scalable.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
You can monitor anything.
It offers unified visibility for logs, metrics, and traces.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk APM provides a holistic view of the application.
This is IT infrastructure monitoring's industry-standard, open-source core. Free without professional support services.
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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