Nagios XI is an Enterprise Server and Network Monitoring Software, built on Nagios Core and designed to comprehensive application, service, and network monitoring in a central solution. Nagios XI is available in two different editions: Standard Edition and an Enterprise Edition. The Enterprise Edition provides users with additional functionality and includes features that are designed to aid in…
$1,995
Per Instance
Splunk Observability Cloud
Score 8.5 out of 10
N/A
Splunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.
Splunk is superior in many ways to these solutions when I'm comes to ingesting, storing, manipulating, and using data, but dynatraces automatic agents do make it much easier to use out of the box. Nagios seems much cheaper but does not provide as much functionality as Splunk. …
If anyone looking for the monitoring system for the infrastructure this is the go-to tool which monitors all infrastructure related components from server health to Networking and update us with mails and can be easily integrated with multiple other tools as needed for example PagerDuty , Also this suits good both on premises and cloud environments as well. If we are managing complex environment this tool for monitoring is best one.
Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.
The first one is its Kubernetes container monitoring.
I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.
You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.
This tool has been has been of great use and learning , offering exceptional ease of use, scalability, and detailed reporting. It has a lot of customization options and proactive monitoring which have significantly improved our infrastructure management.It's UI & functions are good. Also has built in templates for various end points.It also provides graphical reports. With a Dashboard you can monitor easily
Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
We are using Nagios XI in our organization primarily for monitoring all our application servers and databases, this is helping us in addressing all the infrastructure issues in advance by alerting us when it any server hits the threshold as per the initial parameter setup also it has free tier which helps for small scale applications monitoring to save some expenses.
When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
I have been participated in the few implementations, and I would say its bit complex when its come to initial setup once its set post that its easy to manage
Cost efficiency is the main reason which we opted [for] Nagios as we were previously using IDERA tool with comprehensive database monitoring solutions, but the slow performance we are getting while monitoring the instance of the database.
Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.
We have installed Nagios XI for our monitoring system and with this we are managing around 600 servers in total and not seen any major issues with its scalability we can scale it as much as we require and also installed on various applications servers and working as expected
