Nagios Core and Elastic Observability compete in the IT monitoring category. Elastic Observability seems to have the upper hand due to its advanced centralized logging and integration capabilities.
Features: Nagios Core provides flexibility and customization options, an open-source platform with extensive plugins, and detailed alerting capabilities. Elastic Observability is noted for centralized logging, seamless integration with tools like Kibana, and end-to-end solutions for various data sources.
Room for Improvement: Nagios Core requires complex setups and advanced technical skills for effective use, sophisticated UI and reporting enhancements, and requires effort to improve infrastructure monitoring. Elastic Observability lacks predictive analytics, features a complex initial setup, and requires better visualization and additional monitoring features.
Ease of Deployment and Customer Service: Nagios Core demands robust on-premises setups, relies mainly on community forums for support, and lacks official customer service. Elastic Observability supports hybrid and cloud deployment models, though it similarly depends on community-based assistance due to a lack of direct customer service for its open-source version.
Pricing and ROI: Nagios Core is cost-effective with no licensing fees, appealing to budget-conscious users, and offers high ROI by reducing downtime. Elastic Observability involves complex licensing based on data and infrastructure, may be costly for small businesses, but remains valuable for larger enterprises seeking comprehensive monitoring and insights.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
The solution is scalable.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
It has a very handy dashboard, providing live alerts and visibility for everything.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
This is IT infrastructure monitoring's industry-standard, open-source core. Free without professional support services.
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