Grafana Reviews

We have a few use cases. We have charts for infrastructure, CPU usage, etc. We have included a lot of metrics for WAFs. We also have some customer metrics and business metrics, such as any number of transactions for a specific action happening on the site. 

It gives us the visibility we need. I like that when we add deployment markers or release markers, we know exactly when an issue arises. For instance, if there is an increased usage of CPU, we can link it directly to the deployment that might have caused the issue. It increases productivity and observability. We can now easily tell when a certain issue arises. It's way easier to debug because it can point you to certain things based on these markers, and we can debug easier.

It's difficult to see the trends on the graph when the range is too long. 

At the company, they'd been using Grafana since I joined. It has been about three years.

It has been working fine for us.

With our workload, it's working fine. Going by that, I'd rate it a 10 out of 10, but I don't know about the other cases.

I've not contacted them.

I don't know if it's the same, but we were using CloudWatch in AWS.

Honeycomb is also similar to this. With all the metrics and performances, you can build dashboards, but I'm new to it.

Our team has two people who are in charge of that, but I'm not aware of its implementation.  

I don't have much experience with other tools, but for my specific case, it has been working great. I'd rate it a 10 out of 10.

We use Grafana for application metrics and data utilization for consumer databases. We also use it to connect and evaluate clients and create databases where we upload client data.

We find Grafana essential for our company because of the visualization function for all application metrics in our environment.

What I found most valuable in Grafana is that it has a lot of integrations and features that I need for data processing and visualization.

One area for improvement in Grafana is that depending on your version, you have to pay for the features, making the license expensive. It would be great if the licensing model could be more flexible.

In the next release of Grafana, I want cluster creation to be available, which would help in Grafana deployment and scaling. Currently, the scaling process for the solution is a bit complicated.

Easier integration is also what I want to see in Grafana in the future.

I've been using Grafana for four years.

Grafana is a very stable solution.

Scaling Grafana is a bit complicated, so I want to create a cluster to promote high availability in the solution, deploy in one step, and for Grafana to scale automatically.

My company has the open-source version of Grafana, so it gets support from the community. The community support is good.

In terms of standalone visualization tools, I've only used Grafana. I used another monitoring solution, but the visualization was only integrated.

Other solutions can provide what Grafana provides, but you need to pay. Grafana, on the other hand, has an open-source version, and as an open-source solution, it's complete, at least for my company's needs.

Compared to other software, it can take some time to get used to how Grafana works, but you can live with it because you can learn to use it.

One person deployed Grafana for my company, and the process only took twenty minutes maximum.

My company uses the open-source version of Grafana, so it's free.

I'm currently using Grafana.

My company is a Grafana customer.

I'm using the open-source version of Grafana, 9.3.

Between sixty and one hundred people, mostly software engineers, use the solution in my company.

Grafana requires maintenance, and that's the responsibility of the entire team.

There's a plan to increase the usage of Grafana in other areas besides engineering. My company plans to create dashboards for data in other areas.

I advise people who want to use the solution to try it out first. For example, Grafana has many good integrations if you need to gather metrics, and you can technically use any query to create dashboards and graphs inside Grafana. I advise that you explore the solution.

My rating for Grafana is eight out of ten because it's a very good product. It's complete and has an open-source version with many features. However, some of its interface capabilities could be cheaper.

We use the tool to monitor metrics on dashboards. 

It's easy to make changes. We can put many dashboards in one place. There's no delay in showing data - what you see on Grafana matches the server metrics.

Grafana could improve by having its own query language. Currently, it uses languages like Prometheus or InfluxDB, which not everyone knows. Their query language should be easier.

I have been using the product for four years. 

Stability-wise, our on-premises version was mixed, but the cloud version is stable.

My company has 2000 users. 

Setting up Grafana is moderately difficult, especially writing query languages and custom metrics. Creating custom metrics requires writing new query language at the server level, which can be challenging.

If you want to use Grafana for the first time, I'd say you can. It's cost-effective compared to other products like Datadog. But if cost isn't an issue, I'd recommend Datadog. For beginners, learning to use Grafana is moderately difficult. I rate it a seven out of ten. 

The solution is used for monitoring the live monitoring of our load test.

The most valuable feature of the solution is the UI dashboard because we need to create a dashboard on Grafana to monitor our data.

The solution's integration with other tools needs improvement.

I would like the ability to download my results into any format in order to share the information with my clients.

I have been using the solution for over three years.

We currently have over 50 people using the solution.

The initial setup is straightforward. The deployment usually takes one and a half hours.

I give the solution an eight out of ten.

We use it internally to monitor both hardware and virtual machines running on our servers and then generate reports based on the monitoring data.

One standout feature is its open-source nature. It excels in providing comprehensive details when there are downtimes or fluctuations, offering thorough reports. From a cost perspective, it stands out positively, especially when compared to other tools, given its robust functionality as an open-source solution.

There is a need for improvement in automating daily monitoring reports, especially when alerts are triggered due to system downtimes or fluctuations. This enhancement would make the monitoring tool more efficient and streamlined. While it does produce reports, the quality might not be optimal.

I have approximately two years of experience working with it.

I haven't encountered any issues or bugs while using it, and it has been stable throughout.

Numerous users, ranging from five hundred to a maximum of three hundred, frequently engage in upscaling and downscaling activities. The system handles this well, and the performance remains stable, even when multiple users log in and out simultaneously.

The initial setup is not overly complicated nor excessively straightforward. It's a manageable process that involves following a step-by-step approach.

It's free of cost; it operates as an open-source tool.

It is recommended for use, and in parallel, WebEx is another open-source tool. Both are straightforward to deploy on a Linux server. The process is simple and similar to each other, and there's no need for any complex procedures. Deploying these monitoring tools on a Linux server is hassle-free. Overall, I would rate it eight out of ten.

Our team used a Grafana for training.

The comparison feature is very good. 

The service dashboard is very hard and needs improvement. 

I have been using Grafana for six to seven years. 

It is a stable solution. 

The solution was deployed with Kubernetes. The deployment took an hour to complete. It is not difficult to maintain as Kubernetes gives easy updates. 

I am using the open source version. 

I rate the overall solution an eight out of ten. 

We use Grafana to visualize IT infrastructure monitoring data. We have real-time, historical, and trend data that we can visualize in a flexible manner using Grafana. We use Zabbix to collect, process, and store the data. Zabbix has its own inbuilt visualization widgets, dashboards, and graphs, however, Grafana adds more flexibility. We have integrated Zabbix with Grafana using the Zabbix API which gives access to almost all components of the Zabbix Software.

Our environment is on-premises so we have both Zabbix and Grafana locally installed.

Grafana has greatly improved the way we visualize monitoring data. Now, every team member from directors, managers, sales representatives, to technical engineers can be granted access to custom dashboards relevant to their line of work.

With the latest Grafana versions, reports can be generated from dashboards to update senior management officers. 

The dashboards are not only intuitive and insightful, but they are also beautiful so it makes monitoring and data visualization more enjoyable.

Since it can easily be integrated with other software, having that important part of data processing taken care of makes technical teams more focused on improving data sources and enriching the data.

The ability to create almost all kinds of graphs and visualize any kind of information in an appealing way is extremely useful to us.

The customizability of dashboards and widgets is impressive.

The flexibility in integration with other tools as data sources of data enriching tools has been great.

It is open-source, so it saves a lot on costs and the community is friendly and powerful.

The product can be used to cater to multiple use cases. Almost any kind of visualization is possible with Grafana and all dashboards are configurable.

The ability to import and export dashboards saves us a lot of time for popular systems and dashboards.

The lack of native ability to aggregate data from multiple sources could be improved. As it is not a data store, it is challenging to correlate data from multiple data sources. Adding an out-of-box capability to aggregate and correlate different types of data would make Grafana even better.

It is limited on the reporting type supported, which is important for managerial-level officers who want reports that are either general or specific. Improvements in that area would be great.

Machine learning capabilities are still limited. This is an improvement in that area is needed.

Performance improvement when querying and searching textual data would be beneficial.

I've used the solution for more than three years

When computing resources are properly optimized Grafana runs in a quite stable manner. As Grafana is an analytics and visualization platform, it is a bit hungry on CPU and Memory usage. When Grafana instances are properly planned and configured, computing resources bottlenecks can be avoided. Our instances haven't given us headaches from the time we set them up. 

Grafana is mainly for visualization, so many instances can be set as needed. Grafana can also be configured for high availability for some scenarios like alerting, authentication, and databases.

We haven't bought technical support and haven't dealt with their customer service agents.

We used native dashboards and graphs of another system we use. We use Zabbix for monitoring but we added Grafana to add more visualization flexibility.

The initial setup was straightforward, however, some resource optimization and tuning were needed. We have experienced professionals in tuning OS systems and application resources so it was not too complex for us.

We implemented everything fully in-house. Since we never had a vendor team, we don't know yet the level of expertise they have. The Grafana community has been so helpful in this regard.

I can confidently say we have a 100% return on investment. Grafana has greatly enriched our data visualization and analytics. We see the prospect of it appealing even to more senior management. They may not be quite technical, but they appreciate having data nicely visualized so they know what is going on.

You can choose from the fully open-source or enterprise editions. We chose the open-source and did everything in-house. Thorough planning and performance considerations are important, as the tool can be heavy on memory and computing resources.

We considered Kibana before we chose this solution.

The solution is great and is one of the best in the market for visualization.

We use the solution for integrated logging, which works on our Kubernetes cluster and our separate VM. 

The solution allows our teams to search and conduct application troubleshooting.

The dashboards are the most valuable features.

I would like to have a better configuration in the next release.

The technical support has room for improvement.

I have been using the solution for five years.

I give the stability an eight out of ten.

I give the scalability an eight out of ten.

We have five users in our organization.

I give the initial setup an eight out of ten. There was a lack of support documents to help with the deployment. We just need to configure the file to plan the cluster.

I give the price an eight out of ten.

I give the solution an eight out of ten.

We use Grafana with a Kubernetes filter and it works well. I am not sure how the solution will work on its own.