AWS Marketplace: Grafana Reviews

Grafana

ATH Infosystems

Reviews from AWS customer

8 AWS reviews

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Basil Jiji

Unified dashboards have empowered teams and have democratized real-time operational insights

January 10, 2026
Review from a verified AWS customer

What is our primary use case?

My main use case for Grafana involves operational dashboarding and data visualization, where I use it as a central pane of glass to pull in metrics from multiple sources like Prometheus, Elasticsearch, and SQL databases to visualize the overall health of our systems in one unified view.

For example, I have built a NOC dashboard that tracks CPU memory usage and network traffic across all the pods. If a specific service starts failing, the Grafana dashboard highlights the issue in red, allowing my on-call engineers to identify the failing cluster at a glance.

What is most valuable?

Grafana's snapshot and dashboard sharing features are critical for our remote incident response. During production issues, I generate a public snapshot of a dashboard at a specific point and share the URL in our Slack war room so every engineer can see exactly what the metrics looked like when the error occurred. This helps significantly during the process of finding the root cause in those scenarios.

The best features Grafana offers go beyond just pretty charts; it is an integration engine. The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.

My team uses this feature by comparing two different tables from the databases to show one single view, which Grafana is really helping with. In a visualized way, the charts can be displayed on one dashboard, allowing end users who are not familiar with these technical aspects to extract valuable data from it.

Grafana has positively impacted our organization by democratizing data within our company. Before using Grafana, only developers could see the system health, but now our product managers and executives have their own high-level dashboards, which has improved cross-departmental transparency and alignment.

What needs improvement?

I find that the alerting UI in Grafana can be complex for new users. While it is very powerful, it takes time to learn the differences between contact points, notification policies, and silences.

The documentation can be improved to provide more detailed descriptions, allowing new users to understand more concepts before they come to knowledge transfer sessions with senior team members.

For how long have I used the solution?

I have been using Grafana for over four years to build real-time observability dashboards and monitor our complex infrastructure and application performance.

What do I think about the stability of the solution?

In my experience, Grafana is extremely stable. Even when handling millions of data points, the visualization layer remains responsive. Since it is decoupled from the actual data storage, the dashboard stays up even if one of our underlying data sources is temporarily slow.

What do I think about the scalability of the solution?

Grafana's scalability is impressive. It is highly scalable and built on a big data architecture capable of ingesting trillions of data points. For our on-premise instance, I use a high availability configuration with a shared database to manage growth.

How are customer service and support?

Customer support for Grafana is solid. The community support is massive, and the technical support team is very helpful with complex PromQL troubleshooting.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

Before Grafana, I relied solely on the native monitoring console of our cloud providers, like AWS CloudWatch. I switched to Grafana because I needed a way to see all my clouds in a single dashboard rather than switching between multiple tabs.

How was the initial setup?

Grafana's forever free tier for the cloud version allowed the initial setup cost to be zero. As I scaled, I moved to a paid tier based on my number of active series and users, which I found to be very fair compared to other observability vendors.

What was our ROI?

I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs. Additionally, I see a 25% improvement in MTTD due to my shift from text-based logs to visualized dashboards.

What's my experience with pricing, setup cost, and licensing?

I purchased my Grafana Cloud subscription through the AWS Marketplace, which simplified my procurement process and allowed me to apply the cost towards my AWS committed spend.

Which other solutions did I evaluate?

I looked at Kibana and Tableau before deciding on Grafana. I chose Grafana because Kibana is mostly limited to Elasticsearch, whereas Grafana can connect to almost any data source. Unlike Tableau, Grafana is specifically optimized for time series data and real-time monitoring.

What other advice do I have?

When Grafana highlights an issue, it will trigger email alerts that engineers can rely on. Immediately when they receive these alerts, they involve other support teams, and a bridge is initialized to start troubleshooting.

For those looking into using Grafana, I advise starting with the Grafana play site to see what is possible and then using the pre-built dashboards from the Grafana dashboard gallery. There is likely already a perfect dashboard available for free tailored to your tech stack.

Grafana is unique in that I can join data from my SQL database with metrics from Prometheus in the same table, a feature I have not found performed as well elsewhere. My overall rating for this product is 10 out of 10.

Which deployment model are you using for this solution?

Hybrid Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)

Julian-Lewis

Has provided real-time views and integrated insights across diverse data sources

September 15, 2025
Review provided by PeerSpot

What is our primary use case?

I am using it myself. My specialty is application performance monitoring, but when I'm putting systems monitoring in place for the backend, Grafana is the best solution for views and dashboards.

I have utilized Grafana's integration capabilities with Prometheus. In a previous role, we displayed some data with Elasticsearch. I have used it heavily with Zabbix integration as well. I have done Nagios in the past. It depends on the toolset that the customer has, but Grafana is very appealing because the business appreciates the views that come out of Grafana as it gives them the views they want.

I have employed real-time metric visualization capabilities. That's basically what monitoring is - a real-time view. I build up these dashboards or real-time views, but they can also be used as historical views, pulling out more data.

Grafana's role-based access control and multi-tenancy features are important for my organization. At the moment, most of our Grafana is on-premises, but we're looking at cloud options as well. Multi-tenancy is quite important because we have customers that will only want to see their information and not any other. They're not allowed to see some of the other data that we collect, so it's important to have a multi-tenant system.

What is most valuable?

The most valuable feature is Grafana's ability to plug in data or events and monitoring data from any kind of source. The graphing capability is what I use the most.

I have made use of Grafana's customizable dashboards and templating features. These features have enhanced my data visualization and analytical processes by enabling me to give real-time views to our end-users of what they're doing or what their service is doing. The historical and trend data allow people to pull up data from Grafana and from whatever source to display it and examine how an environment is being used.

I have employed real-time metric visualization capabilities for monitoring and real-time views. These dashboards can also be used as historical views, pulling out more data.

The effectiveness of Grafana in delivering real-time notifications through its alerting system is quite good. The widgets are able to highlight errors if they happen in real-time on the dashboard. The alerting functionality is improving. I generally tend to use the monitoring tool for alerting rather than Grafana, but I have had to use Grafana occasionally without any issues.

What needs improvement?

Grafana could be improved through enhancement of graphs and visualizations and providing more integrations. Grafana is going to start working with OpenTelemetry, which would be helpful to have the same sort of design across all different platforms.

I would appreciate additional features in the next release to make it closer to a perfect score. Improved templates would be beneficial in some aspects. Some of the older templates that I used to be able to get in Grafana are only available with a license.

For how long have I used the solution?

I have been using Grafana for about five or six years.

What do I think about the stability of the solution?

The product has been stable. I have never really had any major issues. There have been times when the integrations don't work as smoothly, but that's usually a configuration issue, not the tool itself.

How are customer service and support?

I usually solve problems by myself. I very rarely get in touch with technical support as we don't have that option.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I used the built-in graphing from the tools themselves before Grafana. I have pushed some data into Power BI as well in the past. I have used various displays, mainly just whatever the platform provides, such as Nagios dashboards, Zabbix dashboards, or SCOM. It depends on what monitoring tool the customer has.

How was the initial setup?

The initial setup for Grafana was very straightforward. I followed along and did some design work. I had to calculate the database size and figure out requirements, but beyond that, it's not difficult to install at all.

Which other solutions did I evaluate?

I did not evaluate other options before choosing Grafana for graphing. Grafana seemed the logical choice. There aren't many other platforms that offer the kind of flexibility and number of integrations that Grafana does. They are quite niche in the graphing and dashboarding space.

What other advice do I have?

I find the pricing of Grafana to be reasonable. I have only ever used the free tier of Grafana, so I cannot comment on the pricing model itself.

Based on my experience, I would recommend Grafana to others.

I rate Grafana an 8 out of 10.

Adam Russak

Community support and visualization features impress but integration guides could simplify

May 28, 2025
Review from a verified AWS customer

What is our primary use case?

For my personal usage, I do use Grafana, and it does make life easier for solving stuff.

What is most valuable?

The main benefits I have seen from using Grafana in my day-to-day activities is the visualization of the metrics, specifically Dora Metrics. Instead of saying 'I feel the team is developing bad or slow,' you can actually have metrics to support that. You can actually show that this team could work better here, in this case, or needs to focus more on peer reviews or on deployments. The visualization of the data is key.

What needs improvement?

For my personal usage of Grafana, I think there could be improvements, particularly that I use the Grafana Cloud SAS solution. The integration guides could be simpler and easier.

Regarding the clarity of the official documentation for installation, I think the official documentation, which has something called Alloy, the Alloy integration, is not that clear. It was mostly for personal usage that I'm talking about right now.

For how long have I used the solution?

I have been using Grafana for around a year, maybe more.

What do I think about the stability of the solution?

Grafana is stable; however, in the previous company, we also had Grafana for a long period of time, and its stability depends on the load. Once you get to a higher load, you need to re-evaluate your architecture and put that into account.

What do I think about the scalability of the solution?

In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time, which indicated a bottleneck that we had to address by updating the infrastructure.

How are customer service and support?

I'm not familiar with Grafana's feature in terms of community and documentation since I've been here only a few months. The community provides extensive knowledge about Grafana. You will get faster answers about Grafana than about Datadog from the community.

My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

The reasons for moving from Grafana to Datadog include the fact that Datadog is a SAS solution, and we don't need to manage it. I was told, and as I mentioned I'm kind of new, there was already Datadog running, so it's not creating a new one but just moving the data. The main benefit of Datadog versus Grafana is the ease of creating a dashboard, which is just simple for the user.

What about the implementation team?

In the previous company, about three or four people worked on Grafana implementation. It was an ongoing effort that took several months to complete.

Which other solutions did I evaluate?

Grafana is easier to sell to management compared to Datadog and other solutions because it has an open-source tier, which makes it easier.

If I'm coming as a personal user, then Grafana is the best solution out there right now. But if we're looking at it as an enterprise, then when money is less of an issue, Datadog is much easier to use and implement than Grafana.

What other advice do I have?

Managing and maintaining Grafana is kind of managing another application; as far as Grafana itself, you don't have much to do. It's mostly about the infrastructure, resources, and if you're deploying it in high availability, maybe more instances. So it's mostly infrastructure work and less about Grafana itself.

I rate Grafana an eight out of ten.

Omer Cohen

Efficient real-time log analysis and resilient adaptation to open source dynamics improve operational workflows

May 28, 2025
Review from a verified AWS customer

What is our primary use case?

We manage log processing with Grafana because we found that it is much easier for us to manage it on our infrastructure on AWS. We can maintain all the things we do not need. DataDog told us we have to wait and that they need to provide features we need to develop, so it does not suit our needs.

We are still using DataDog, but for important assets that we need to analyze the logs, we send it to Grafana.

The challenges we face with DataDog compared to Grafana include the need to analyze very important brands, network trafficking, and maintaining many websites, most of which are very important domains that cost a lot of money, so we are getting attacked each day and we need to analyze all of the logs. Sometimes we have false positives and things similar to that, so we have to make sure that we are doing the correct decision of blocking or trying to mitigate attacks. Using the logs with Grafana it is much easier for us to analyze rather than DataDog. DataDog has their own language and they want you to plot things with their own vocabulary. We do not have time to memorize things. We especially wanted to use something that was open source at the beginning, and then other people started using it, took that product and modified it for extra cost, but it is a better solution for us.

We switched from DataDog to Grafana because we wanted to reduce the logs costs, as we are streaming approximately five million logs or even less.

What is most valuable?

We can find information with Grafana much more quickly compared to DataDog because it was open source and there was extensive documentation about it, enabling us to fetch data or information much more quickly using AI tools. With DataDog, they always wanted us to have a meeting or talk with us on a call. It was redundant. We just wanted to get to the solution without making a big deal out of it.

Grafana saves us hours compared to DataDog. It takes about two weeks to figure out what is going on with DataDog, but with Grafana, we just started to initialize the service, had a few issues, fixed them, and that was it. I did not have any major problems that forced me to halt everything in my work. It cost me hundreds of hours with DataDog because I needed to see all the documentation and all the special caveats they have there.

What needs improvement?

I would rate Grafana overall as an eight out of ten. It is pretty good, and I would recommend it. I would give it a ten if it were much simpler for users who just want to get a simple objective in Grafana and are not experienced with technical configuration. It would be better if users could simply state they want to see the amount of requests on a graph through an AI implementation. For example, when getting attacked, users should be able to easily filter all requests to a specific site or resource, or identify IPs that were recently attempting access.

I would describe Grafana's ease of use as a necessity to just get things fixed. We are working in a marketing company, and if something does not work great, or people are looking for the solution, I am looking to get a temporary solution until I can fix it properly, and then I can reach support if I cannot fix it for the long-term.

For how long have I used the solution?

I have been using Grafana for quite a long time, but we have only recently started using all of its features.

What do I think about the stability of the solution?

I would rate Grafana's overall stability as much more stable because when it is not working, users are given a much broader oversight of what is not working, rather than talking to DataDog and asking them to check it out. When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.

What do I think about the scalability of the solution?

The size of our infrastructure affects using Grafana as it really depends on that. We are considered quite small or medium at least, so it is quite easy for us. In terms of our company, the infrastructure is using two availability zones in AWS, one is US East, so we are looking to expand. Currently, we have only two availability zones to deploy, so it is quite easy for us right now.

How are customer service and support?

I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.

On a day-to-day basis with Grafana, I tend to refrain from using their support, not because of their level of professionalism.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We switched from DataDog to Grafana because we wanted to reduce the logs costs, as we are streaming approximately five million logs or even less.

How was the initial setup?

I initially learned to use Grafana by working locally and seeing how it works and presenting a proof of concept. We started to make a small plan of how we could make the change, how to deploy the switch, making the changes and checking it in other environments that we have. We are working with Agile, so I have to work with development first and then we are staging it. It is a long process but eventually we made the switch quite quickly, it was just a simple day when we deployed it.

What about the implementation team?

Three people manage Grafana in our organization: one is a sysadmin, another one is a DevOps full-time, and I am managing the entire operation.

What's my experience with pricing, setup cost, and licensing?

The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it. That is pretty much great for us.

What other advice do I have?

My recommendation for future users of Grafana is that it is all great. I am hoping that all the companies, at least the open-source projects, do not go closed source because then users will have to find something else. That is what we love to do - we love to use open source projects and improve them for our usage, not something that follows an agenda of another company's product.

My recommendation to other users of Grafana is to not be afraid and always look online. I started using it a long time ago for different projects. Users need to learn about the basics before they can really understand what is going on. There are people who start the self-hosted web server and see all the metrics going to their server, but they do not really understand what is happening, they just see a small count of the graph. Users need to understand that configuration is necessary. I experienced this when I started and was clueless, thinking of going to DataDog. Then I realized I just did not understand it correctly - there is much more once you see a bigger horizon of things that you could do.

Overall rating: 8/10

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)

Nadav Weidman

Dashboard integration and data source setup simplify monitoring tasks

May 28, 2025
Review from a verified AWS customer

What is our primary use case?

My main use case is monitoring. We use a lot of different products for monitoring, but Grafana is specifically for monitoring Kubernetes. We use Grafana mainly for Prometheus.

What is most valuable?

The features I appreciate most are the dashboards and the integrations with multiple data sources. The feature that sets Grafana apart from its competitors is how easy it is to set up data sources. The integration helps our organization in centralizing and analyzing data from diverse sources.

What needs improvement?

Regarding joining between queries, merging between two queries that give the same information could be simple, and there are some ways to do that, but if there was something even easier, it would be great.

For how long have I used the solution?

The deployment process was completed before I joined the organization. We have been using it for a couple of years, but it was deployed previously.

What do I think about the stability of the solution?

We never had any issues with Grafana at all.

How are customer service and support?

Grafana's customer support is mainly for developers. We didn't need to reach out to them for troubleshooting or any issues.

How would you rate customer service and support?

Positive

What other advice do I have?

We centralize all the metrics from Prometheus and also from Graphite and all other data sources. We have dashboards to integrate Grafana's real-time metrics with visualization capabilities. We're not using Grafana's role-based access control and multi-tenancy features.

Seeing the metrics helps in finding issues, such as memory leaks or spikes and some optimization. We use Grafana on a day-to-day basis to get a better look at our environments and the usage of our resources.

We don't use Grafana for alerting, just for visualization. For alerting, we have different tools. On a scale of 1-10, I would rate Grafana as 8.5.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)

reviewer1955814

Open-source solutions work adequately but future AI enhancements and advanced tracing capabilities are desired

May 13, 2025
Review provided by PeerSpot

What is our primary use case?

We actually work with BMC and similar solutions, and while I wouldn't say that they are the same as a full, fully-fledged APM, we're working our way up using open source and everything, so I don't know how far we'll get with that. We're a government agency, and although these costly tools are very efficient and useful, it's hard for me to convince the organization about that, especially since we're not allowed to use public cloud solutions, so we have an on-prem solution, which makes us a demanding customer.We use BMC Helix with the AIOps solution, and while all of these are public domain knowledge because we have to be open with how we procure and purchase our services, I am not the one who would purchase such a system. I would be the customer to it and someone else would host it, while I work more with observability, such as the Grafana stack and the cloud-native solutions.We're working with Grafana more actively now for maybe a couple of years, and we are looking at Tempo and the tracing solutions to see if it will scale. We have metrics back-ends and everything, and we're basically late-stage discovery, early-stage implementation at large scale, with 1,400 people in our tech organization and a 14,000 people organization, where the technology side is just 10%.We get alerts from the alerting tools, and we act on them. I'm looking now at logs, Grafana, trace profiles, and while we're not yet into AI/ML and root-cause analysis, we do focus on alerting and, to some extent, plugins and app observability, mainly utilizing the basics for now.

What is most valuable?

We use Tempo for tracing and, of course, alerting and monitoring metrics. We've tested some features but we're only using a few of them actually, so I can't provide the full range of what different tools Grafana offers as an open-source project, but it's definitely useful for monitoring, alerting, logs, and analysis.Grafana integrates with some of the tools we've chosen beforehand, and while I'm not the right person to elaborate on this since I'm more focused on managing big teams, the teams working with it seem happy. We used to have performance issues, which could be due to running it in an OpenShift environment, but functionality-wise, it seems to be useful, albeit not offering the same power tools as APM such as AppDynamics.

What needs improvement?

The whole AI capability would be useful for Grafana in the future, and while I don't think we're mature yet, I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.

For how long have I used the solution?

Depending on how you define use, whether it's in production or just dabbling with it, I would say that using it actively with a subset of the team has been for maybe two years.

What do I think about the scalability of the solution?

You have to scale horizontally to deal with issues.

How are customer service and support?

We might have gotten help from technical support, but I'm not sure how much since I haven't seen an invoice for purchasing support, so it's probably community open-source style.

How would you rate customer service and support?

Neutral

What other advice do I have?

I would probably recommend Grafana for monitoring and analytics tasks, but since I haven't really pushed it to the limits from a non-functional perspective, I would hesitate if someone from a high-scale Telco environment asked for my recommendation.I rate Grafana a six out of ten.

Abdul Rahaman Abdul Rahim Lee

Effective alerting and user management enhance monitoring but needs a better interface

January 10, 2025
Review provided by PeerSpot

What is our primary use case?

I use Grafana mostly for monitoring purposes, such as tracking errors or alerts. When certain thresholds of warnings or errors are breached, Grafana sends me an alert because I am supplying it with data. Another use case I have is monitoring CPU usage and bandwidth.

What is most valuable?

I find Grafana beneficial due to its numerous plugins. Its alerting feature is effective because it allows me to set thresholds to send an email if a certain threshold is met. User management is good, and the administration features enable me to control user access.

What needs improvement?

The interface is not well-liked by my customers. Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs. I think predictive capabilities in alerting could also be improved.

What do I think about the scalability of the solution?

Scalability is uncertain for me since I installed Grafana on only one server and did not scale it further.

How was the initial setup?

The setup process was easy for me to follow. I just needed to adhere to a step-by-step guide which was quite straightforward.

What other advice do I have?

I end up using my own customized open-source visualization tool instead of Grafana. Most of the time, I deal with technical aspects.

I rate the overall product seven out of ten.

Vikash-Agarwal

Displays data visually from multiple sources while integrating seamlessly with existing systems

November 28, 2024
Review from a verified AWS customer

What is our primary use case?

The primary use case for Grafana is to display data from Prometheus in a graphical user interface for easy monitoring and analysis of metrics. It is used for end-to-end tracing of applications and integrates with AWS services.

How has it helped my organization?

Grafana improves the organization by showing data from Prometheus in a user interface.

What is most valuable?

Grafana provides a user-friendly interface for viewing infrastructure metrics through dashboards. It integrates with Prometheus to pull data and offers a straightforward setup process.

Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data. Grafana's integration capability is straightforward, which facilitates building dashboards as needed.

What needs improvement?

Grafana could consider building its own metrics system to eliminate the reliance on other tools like Prometheus, providing a one-stop solution.

For how long have I used the solution?

I have used Grafana for the last four to five years.

What do I think about the stability of the solution?

There are some instances, about one to two percent of the time, where dashboards do not work, however, these are manageable and typically attributed to the underlying data source.

What do I think about the scalability of the solution?

Grafana is pretty scalable as it can source data from multiple providers without limitation.

How was the initial setup?

The initial setup was straightforward. Those familiar with deployment find it easy to manage and deploy.

What about the implementation team?

The implementation is managed by a different team, and issues with integration have been minimal.

What's my experience with pricing, setup cost, and licensing?

I used the open-source version for my learning, which was free. In an enterprise setting, pricing is reasonable, as many customers use it.

What other advice do I have?

I rate Grafana eight or nine out of ten. The deployment of multiple tools could be streamlined into a single solution for better efficiency.

Mbula Mboma

Complex features hinder streamlined user interface and good stability

November 05, 2024
Review from a verified AWS customer

What is our primary use case?

I use Grafana to deploy OpenVideo and to write an article on Medium on how we can deploy some open source projects with CloudFormation.

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.

reviewer2535048

Can monitor metrics on dashboards but needs to have own query language

August 13, 2024
Review provided by PeerSpot

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.

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