Grafana Enterprise Stack Reviews

I was doing the small POC when I was trying to create a result repository and look at the results on Grafana.

It's helped our data monitoring and visualization capabilities. We use it for our performance monitoring activities and have a dashboard set up. We can use it to pinpoint and understand performance issues.

The solution is very easy to use. It's also a very robust tool.

We have multiple data sources that can be viewed.

I use Grafana due to its easy access and a lot of online content available if you get stuck. 

You can easily set it up. 

We have our own dashboard in Grafana, and we can just pull in billions of data points from any kind of information. We can look at performance and that helps a lot. 

The dashboards are pretty good.

There are lots of plugins available that we can use. However, this didn't help if you need to create something specific to your requirements. 

You can look for bottlenecks and requests, et cetera. It doesn't take a lot of effort.

Grafana support and training helps with our team's productivity. It helps you look at things with a better perspective. It provides you with a bit more understanding. You can go into meetings and show graphs and piecharts - not just numbers, if you know what you are doing. The visualization on offer is very useful. 

While they do have a robust support channel, it would be helpful if there were more informational videos. They could use more small tutorials to explain a bit about how Grafana works. 

I've used the solution for a year or so. 

The solution is stable. I've never faced any stability issues. 

Scalability is not a problem.

I also use tools like Splunk. I use it quite often for log monitoring. We do a lot of log analysis. We also use it for alerting.

For the purpose of my POC, I did a deployment on my local machine and it was pretty easy.

It requires maintenance from time to time. However, apart from that, it's not very difficult. Sometimes you have to redo your scripts or queries to capture the information. It's very minimal. 

I'm not aware of the exact licensing costs. I have used the free version, however the company has some agreement with Grafana. I'm not sure what the pricing is.

There is talk of moving from Grafana into mostly our in-house products from which we can do a lot of monitoring.

I'd rate the solution eight out of ten.

Grafana is a good tool. You do have to spend some time to learn it and understand it, however, it's a good tool to leverage. You should have a bit of knowledge of SQL.

We had a good experience in Grafana because it is a graphical component that establishes the dashboard functionality. It helps in collecting logs from various products, such as Prometheus, FluentD, and Sysdig. This tool categorizes signals according to the current situation, providing a graphical representation of the signals received from port applications or nodes.

Grafana helps in providing current scenarios and statuses, such as node, KS status, or application status. It has made it easier to manage logs and visualize the data, offering better results compared to other tools.

Grafana's most valuable feature is its ability to provide a graphical representation of data collected from various sources. It categorizes signals accurately and is easy to integrate with Kubernetes or OpenShift clusters using Helm charts. It helps administrators put in minimal effort due to its automatic data source collection capabilities.

One area for improvement is if Grafana had its own data source. This would enhance its functionality. Additionally, integrating AI capabilities for automated self-healing and reduced manual interventions would be valuable.

I have been using Grafana for almost five years, starting from my work in containerization.

I have not faced any stability issues so far.

No scalability issues have been encountered.

The initial setup using Helm charts is straightforward, and I haven't faced any issues.

Overall, Grafana is fantastic. If you are considering its use, integrating it through Helm charts with Kubernetes or OpenShift clusters is highly efficient. Adding AI capabilities in the future could significantly reduce manual intervention. I'd rate the solution eight out of ten.

I primarily use this solution for troubleshooting, problem investigation, alerting, and trend analysis.

Prometheus is much better for metrics collection. I don't have much experience with other tools, but Prometheus and Grafana have somehow become the industry standard for monitoring.

I find Grafana really hard to configure. It's difficult to build the dashboard, and it's non-intuitive. In my opinion, it's very difficult to work with Grafana.

I have used this solution for two years.

It is truly reliable. We didn't face serious technical issues.

The setup is easy and takes a couple of hours. Nothing crazy.

Both Prometheus and Grafana are open source. You can purchase a license to get the online service and better support, but I am not responsible for making this decision within my company.

Some organizations are better equipped with tools like Datadog, Splunk, or other systems, but I don't have any experience with these.

I rate the overall solution an eight out of ten.

I primarily use Grafana for monitoring various aspects of our infrastructure, such as CPU and memory utilization, storage, and response times. It helps me gain a clear overview of resource usage and performance metrics, allowing me to quickly identify any anomalies or issues like high failure rates.

The most valuable features of Grafana for data visualization are its ability to create intuitive dashboards and its wide range of visualization options like graphs, charts, and tables.

I have encountered occasional issues with false inputs or incorrect data in Grafana, but I am not sure whether these stem from the tool itself or our configuration. In terms of improvements, while Grafana serves our monitoring needs well, additional functions like enhanced application flow visualization could be beneficial for providing more comprehensive insights into our systems.

I have been working with Grafana Enterprise Stack for six months.

I would rate the stability of Grafana as a seven out of ten. While we have encountered occasional issues with data loading or display, I'm not sure if these stem from Grafana itself or other factors.

We have approximately 200 to 300 end users of Grafana at our company.

In my experience, I prefer Grafana Enterprise Stack over competitors like AppDynamics. Grafana is easier to use, especially for standard monitoring tasks, while AppDynamics offers a broader overview of application interactions but can be more complex to navigate.

For us, Grafana serves as our go-to tool for monitoring infrastructure performance. While we don't handle the initial integration or setup, we rely on Grafana to investigate alerts and anomalies, collaborating with support teams to confirm and address any issues promptly. Overall, Grafana empowers our monitoring efforts, keeping us informed and proactive in maintaining system stability and performance.

Overall, I would rate Grafana Enterprise Stack as an eight out of ten.

I use Grafana Enterprise Stack primarily to monitor the metrics of Selenoid, focusing on checking the CPU, iOS, network, and additional metrics. I create dashboards to check the status of these metrics. I utilize it for alerting, particularly in monitoring memory issues. Additionally, I use Logstash for log searching and analysis, focusing on Linux and other logs.

The tool's most valuable feature is real-time monitoring. It helps in securing the application or the node by allowing us to monitor and manage resource consumption during peak times. For instance, from 10 AM to 2 PM, we may experience high memory utilization. It helps us to solve these issues. 

The tool has refined monitoring data. This allows us to make on-the-spot decisions. 

The tool needs to show only fewer updates. 

To ensure stability, I regularly inspect the machine and assess whether additional resources are needed. If necessary, I scale up the resources of the machine. 

I haven't encountered any issues during the implementation of a single node or in monitoring the network.

I use Google to search for answers. 

The tool's deployment is straightforward and takes six hours to complete. You just need to add your exporter and license, and then you are up and running. 

We did the deployment in-house. 

I use the tool's free license. 

I rate the product a nine out of ten. 

We use Grafana Enterprise Stack for monitoring.

The most valuable feature of Grafana Enterprise Stack is the dashboards.

The solution should include integration with Power BI.

The solution’s stability could be improved.

I rate Grafana Enterprise Stack a six out of ten for stability.

I rate Grafana Enterprise Stack a six out of ten for scalability.

Grafana Enterprise Stack's initial setup is straightforward.

Grafana Enterprise Stack's deployment did not take much time. The solution was implemented through an in-house team.

I would recommend Grafana Enterprise Stack to other users.

Overall, I rate Grafana Enterprise Stack a six out of ten.