I use Grafana to deploy OpenVideo and to write an article on Medium on how we can deploy some open source projects with CloudFormation.
External reviews
External reviews are not included in the AWS star rating for the product.
Complex features hinder streamlined user interface and good stability
What is our primary use case?
How has it helped my organization?
I have installed Grafana to see custom metrics like the number of connected users, number of rooms, and CPU usage.
What is most valuable?
All the features are complicated. It's comparable to Terraform, and I prefer CloudWatch.
What needs improvement?
The features are complicated and not intuitive. It would be better if they made the technology easy to use without needing to read extensive documentation. The dashboard interface is too wide, and it's challenging to find buttons or features.
What do I think about the stability of the solution?
Grafana is stable and has great engineers.
What do I think about the scalability of the solution?
I would rate the scalability at six out of ten. It meets some needs, however, it could be improved.
Which solution did I use previously and why did I switch?
I prefer CloudWatch over Grafana due to its ease of use.
How was the initial setup?
The initial setup is too complicated. Even at a junior level, I found it challenging to navigate without guidance.
Which other solutions did I evaluate?
I prefer CloudWatch with custom metrics.
What other advice do I have?
Make the interface intuitive and user-friendly. Highlight features clearly on the interface so that users can easily find and access them.
I'd rate the solution four out of ten.
Which deployment model are you using for this solution?
Awsome product for montoring the server utilization
loging issue
Great product to sort and view logs
clean visualization of financial data
Why you should use Grafana for office dashboard
Can monitor metrics on dashboards but needs to have own query language
What is our primary use case?
We use the tool to monitor metrics on dashboards.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using the product for four years.
What do I think about the stability of the solution?
Stability-wise, our on-premises version was mixed, but the cloud version is stable.
What do I think about the scalability of the solution?
My company has 2000 users.
How was the initial setup?
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.
What other advice do I have?
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.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Best data visualization tool!
It supports many types of data sources, but I think it’s best used with InfluxDB.
Easy tool for monitoring
Provides good alerts and is useful for monitoring user traffic and visualizing metrics
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using the solution for four months.
What do I think about the stability of the solution?
The tool’s stability is quite good. I rate the stability a nine out of ten.
What do I think about the scalability of the solution?
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.
How was the initial setup?
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.
Which other solutions did I evaluate?
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.
What other advice do I have?
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.