Grafana Reviews

I have used Grafana mainly to build custom dashboards. We haven't got Grafana Enterprise due to billing issues. I have used Grafana, installing it physically on a server to build custom dashboards using plug-ins. I have used Enterprise Grafana cloud for many integrations, like RabbitMQ, JMSQs, and datasets. We are mainly focused on dashboards and not on alerting.

Grafana's built-in integration with third-party tools, databases, and MQs is an amazing feature. Now they are leading many integration modules as well for RabbitMQ specifically. You will get a prebuilt dashboard. You have to configure the RabbitMQ, and you will have all the monitoring available. You don't have to actually develop a dashboard and identify what needs to be monitored.

Setting up alerts via Grafana is a bit complicated, and alerting needs to improve. We used Azure for our alerts and Grafana purely as a dashboard tool.

The solution's stability needs improvement.

I have been using Grafana for three to four years.

I have come across multiple issues with Grafana, like getting shut down automatically, the process getting killed, etc. Grafana, on a main level, is good, but the stability of the underneath platform supporting Grafana's UI needs to be improved.

I rate Grafana an eight out of ten for stability.

While using the Grafana open-source version, scalability will definitely be a big challenge because you are not using an enterprise version. Grafana's open-source version is not scalable. It's useful for small use cases and specific use cases. Using the Grafana open-source version will be challenging if you want to deploy a hundred applications and bring up a hundred dashboards for different reasons. While it is possible to do, you will end up having issues.

For open source, Grafana does not have technical support. It has an open forum where you can post your questions, and they will respond to you. However, their response on the open forum was good. Being an open-source solution, having a big community to support is an added advantage compared to other tools.

Grafana's deployment takes around two hours. It's not super complicated, and it's pretty straightforward. Everything is available on the internet. You can browse the internet and get a bunch of documents to complete the deployment.

Since Grafana is an open-source solution, it is free of cost.

It's very good to start with the open source and very seamless. You can directly connect your data sources to the solution. You won't have to worry about managing the Grafana UI because Grafana comprises two things, namely, the data source where you are connecting and the dashboard. Getting started with Grafana Cloud is good because it's very seamless, good, and helpful. If you want to scale and use Grafana as an observability tool, I would say you have to think twice before choosing it because there are a lot of gaps, especially on the APM side of its application and performance monitoring side. The infrastructure gets complex as it scales. For a small use case, for independent use cases, or for building simple dashboards, I recommend Grafana.

With Grafana's open-source, you download a package, put it in your server, and run it. I've used Grafana Cloud as well. For Grafana open-source, the login is limited to two or three people. More people cannot log in, and you can create multiple users. You can create around five to six dashboards and use 10 to 12 plugins. If you have just one or two use cases to be used, like if you have order delivery and you are looking for a tool, Grafana is a great one because the integration is pretty simple.

Overall, I rate Grafana a nine out of ten.

In order to understand trends, troubleshoot any issues, and gain observability of our hundred-server retail market cluster, we started using Grafana. This allows us to detect causes and better understand what is happening in the cluster.

Kubernetes could help us to better visualize the trend of our data by recording and displaying our history over a chosen duration, such as the last 30 days. This allows us to better understand our data and the trends associated with it.

It can take a considerable amount of time to learn the graphs if a long duration is selected. Additionally, other aspects such as networking may also come into play. Thus, the loading of graphs for long durations may require additional optimization to improve performance.

I have been using the solution for a couple of years.

I would rate the stability of the system a seven out of ten. There are some conditions that can affect this rating, however, we have already addressed a few issues that were causing problems in the backend.

I give the scalability of the solution an eight out of ten.

We previously used Zabbix and switched to Grafana because of its ease of use.

The initial setup is simple. Depending on our needs initially. To plot graphs, there are many plugins and open-source dashboards available for use. 

All of us in the company have been utilizing Grafana and appreciating its results. Grafana is cost-effective and has provided us with a clear, comprehensive view of our applications, infrastructure, and more.

We use the open-source version of Grafana.

I give the solution an eight out of ten.

The beginning is simple, so anyone interested can quickly deploy and begin using Grafana without any difficulty.

We use it to monitor user behavior. We have AI LLM models in NVIDIA Triton. NVIDIA Triton gives us some metrics. These metrics are integrated with Grafana and Prometheus. We monitor user traffic to visualize metrics like p99 latency, increase in user and CPU performance, utilization of the GPUs, RAM utilization, and CPU utilization.

We use the free templates of the solution. We have tested some alerts on metrics. We like the alert features. We plan to use it more. Slack and PagerDuty alerts in Grafana are helpful.

It was pretty complicated to integrate the product into our workflow. We relied on templates we found on the GitHub open-source repositories. It is pretty hard to integrate Grafana and set it up according to our use case. The solution must provide tutorials and guides.

We are a small team. We don't have the time to learn Grafana end-to-end, but we want some guides to help us use it quickly. Prebuilt templates will help a lot. The product must provide more alerting metrics. It must be integrated with iOS and Android mobile phones.

I have been using the solution for four months.

The tool’s stability is quite good. I rate the stability a nine out of ten.

I rate the tool’s scalability a six out of ten. Scaling is complex. We have four developers in the organization who use the product.

We have good Docker experience, so the setup was pretty straightforward. We had to run a couple of Docker commands. We integrated everything with Docker Compose. As we scale up, the setup will get complicated. If the number of users increases, we might consider switching to the cloud.

Compared to Elasticsearch, ELK Stack, and Logstash, Grafana is pretty strong. Grafana is way ahead of its competitors. SigNoz is also an alternative to Grafana and Prometheus. SigNoz is pretty easy to set up.

We haven't worked or dived deep into the documentation and tutorial. I will recommend the product to users willing to take the time and patience to set up and learn Grafana in-depth. There are a lot of tools that we can use to build excellent integrations and get the most out of them with little knowledge. However, to leverage the value of Grafana and Prometheus, we must learn the tools in depth. It will save us time, and we can get much value if we invest time and effort. Overall, I rate the solution an eight out of ten.

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.

The primary use case of the solution is to create business and technical dashboards in the metrics provided by the services through Prometheus.

The solution has improved our organization by providing a centralized way to instantly see our business, technical, and service metrics.

The most valuable features are the user-friendly interface and the ability to connect with many data sets.

The solution has room for improvement with a better API to help automate the construction of the dashboards easier.

I have been using the solution for three years.

The solution is stable.

The solution is scalable.

Previously we used New Relic before switching to the solution.

The initial setup is straightforward with just a few clicks on the solution's cloud.

The solution was implemented in-house with a few clicks.

I have seen a return on investment.

I give the solution an eight out of ten.

There are 40 people using the solution in our organization and it requires three people to maintain it.

I would recommend you try to use as many tools as you can. You can have an ecosystem that is quiet and works like using Temple, Prometheus, and so on.

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 the solution in a financial institution to monitor applications and infrastructure. 

We really only started. 

So far, the management is very good.

The dashboards are very easy to work with. 

It's a fantastic tool.

Support is helpful. There are many useful forums users can turn to as well.

It can scale.

The stability is good.

There are not a lot of plugins for financial market monitoring. Our old tool had more plugin capabilities. 

We need more AI features. We need more data analytics and monitoring done by AI.

We just started using the solution. We haven't used it for that long. 

The solution is very stable. There are no issues with reliability. There are no bugs or glitches and it doesn't crash or freeze. 

I'd rate the scalability nine out of ten. It can extend well. 

The team that is implementing the solution has relied quite a bit on the support and forums, and so far, it has been helpful. So far, we are satisfied with the level of support on offer. 

We used to use a different solution. It had very specific tools for fixed message monitoring, among other features, that were useful for finance companies. Grafana doesn't have much that tailors to our sector. 

I was not involved in the implementation. I work with the team that has implemented it. 

We're a customer and end-user. 

We are likely using the latest version of the solution. I'm not sure of the version number. 

I'd rate the solution six out of ten. So far, I can't say it's doing more than our older monitoring was doing. 

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.