Grafana Enterprise

My main use case for Grafana  is to create and design dashboards based on the metrics provided by different exporters via Prometheus.

We have different exporters, and we are creating different dashboards based on them. We have a set of dashboards related to Kafka, virtual machines, and instances. Inside Kafka, we have a broker dashboard, consumer dashboard, partition dashboard, and other ingestion and consumption rate dashboards. Apart from that, we have a dashboard for consumer lag and consumption by partition.

We are collecting metrics from Prometheus and creating dashboards inside Grafana . Inside Grafana, we have different data sources including Thanos and Prometheus. We are also using Grafana for alert setup. We have set up alerts based on the exceptions we are collecting from Loki, and if any such exception occurs, it will create an incident alert over Squadcast .

Grafana offers many features including the ability to create dashboards, add variables, and set up alerts, which also covers notifications via integration with incident management tools or by configuring your email ID to get the notifications.

You can directly configure alerts in Grafana by either creating a dashboard or using the explore icon in Grafana, where you can select Loki and set alerts based on your exceptions.

There are many features including dashboard creation being much easier. You can configure multiple data sources such as Prometheus and Thanos. Apart from that, you can directly link AWS  CloudWatch with your Grafana and other tools. For alerting, you can create alerts based on thresholds and exceptions, and in Grafana, there are many plugins you can configure to create data source dashboards. Additionally, there is also a restriction in Grafana that allows you to provide viewer, editor, or admin access based on roles.

We have had very positive outcomes from Grafana because you can directly visualize the metrics based on past and current inputs and take timely actions based on the responses you are getting from the visualization dashboards. Apart from that, the alerts notify you through your incident management tool.

You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.

Currently, I do not think that any improvement is required, but there are multiple use cases.

I have been using Grafana for the last four years.

Grafana is stable.

Grafana has excellent scalability.

The customer support for Grafana is excellent.

Positive

This is the only solution we are currently using.

Before choosing Grafana, we evaluated other options including DataDog, but it was quite costlier, so we switched to Grafana.

I have seen a return on investment as we actually need fewer employees, and you can take timely actions on the alerts. Apart from that, it reduces MTTR because you receive notifications through the incident management tool, allowing for timely action and better troubleshooting by visualizing metrics and logs inside Grafana. You can optimize these processes by visualizing issues earlier based on the metrics from Grafana.

I have seen a return on investment with fewer employees needed, and you can take timely actions based on alerts. Apart from this, it helps reduce MTTR because you receive notifications through the incident management tool, enabling timely responses and better troubleshooting by visualizing metrics and logs inside Grafana, thus allowing you to tackle issues earlier based on Grafana metrics.

My experience with pricing, setup cost, and licensing is that it is very reasonable and has excellent community support.

You are able to detect issues faster because you can configure alerts based on thresholds in your Grafana and get notifications from your tool like Squadcast , which will reduce MTTR. Apart from that, system visibility is there; you can visualize CPU metrics, memory, disk usage, API latencies, and other ports inside the Grafana dashboard. Based on these metrics, you can troubleshoot your issues very easily.

If you want a scalable solution, better visualization, optimization, centralized monitoring, and improved troubleshooting, then you can choose Grafana without any doubts in your mind. I would rate this product a ten out of ten.

Public Cloud

Amazon Web Services  (AWS)

What do you like best about the product?

What I like most about Grafana Labs is its flexibility and strong visualization capabilities. Grafana makes it straightforward to create interactive, real-time dashboards by pulling data from multiple sources such as Prometheus, Elasticsearch, and various cloud platforms. The interface feels intuitive and highly customizable, which makes it especially well-suited for monitoring complex microservices environments.

What do you dislike about the product?

One drawback of Grafana Labs is that the more advanced features and enterprise capabilities can get expensive as you scale, particularly in larger environments with high data volumes.

For beginners, the initial dashboard setup and alert configuration can also feel a bit complex. Once you start integrating multiple data sources across distributed systems, it can take a while to fully understand how to structure queries, manage permissions, and set up alerting logic correctly.

What problems is the product solving and how is that benefiting you?

Grafana Labs addresses the challenge of fragmented observability by bringing metrics, logs, and traces together in a single, unified platform. Rather than jumping between multiple tools, I can visualize, compare, and correlate everything in one place.

This has noticeably improved our troubleshooting speed, provides clearer visibility across microservices, and helps our team make faster, data-driven decisions with greater confidence.

What do you like best about the product?

What I like most about Grafana Labs is the flexibility and clarity it offers for visualizing metrics. In our projects, we handle a lot of monitoring data, and Grafana makes it easy to turn raw metrics into meaningful, easy-to-read dashboards. The UI is clean, and we can customize panels to fit our requirements.

I also really appreciate its integration capabilities. It connects smoothly with Prometheus, Kubernetes, and other data sources without much complexity. Being able to pull metrics from different systems and view everything in one place gives us better visibility into overall system performance.

Alerting is another strong point. We can set up alerts based on thresholds, which helps us respond quickly when something goes wrong. Overall, Grafana makes monitoring more organized, visually clear, and easier to manage in day-to-day operations.

What do you dislike about the product?

One thing I dislike about Grafana Labs is that the initial setup and dashboard configuration can feel confusing, especially for someone new to monitoring tools. There are so many options and settings that it takes time to understand how to properly configure data sources and write the right queries.

Writing queries—particularly with Prometheus (PromQL)—can also be fairly complex. If a query isn’t written correctly, the dashboard may not show accurate data, and tracking down what went wrong can take extra time and effort.

Another minor concern is that when there are too many dashboards and panels, managing everything can become difficult without good organization. That said, once I get used to the structure and establish a system, it becomes much more manageable.

What problems is the product solving and how is that benefiting you?

Grafana Labs mainly addresses the challenge of monitoring visibility. In complex projects with many services, servers, and containers running at the same time, it can be hard to understand system performance by relying only on logs or raw metrics. Grafana helps us turn that monitoring data into clear, meaningful dashboards.

In our experience, it has made it easier to track application performance, CPU and memory usage, API response times, and overall system health in one place. Rather than jumping between multiple tools, we can view everything on a single dashboard, which saves a lot of time.

It also supports early issue detection. When a metric crosses a threshold, we receive alerts and can respond quickly before it turns into a bigger problem. Overall, this improves system stability and helps reduce downtime.

What do you like best about the product?

What I like best about Grafana Labs is its ability to unify metrics, logs, and traces into a single, intuitive observability platform. The dashboards are highly flexible and easy to customize, making complex system data instantly understandable. Its strong ecosystem, wide data-source support, and active open-source community make it both powerful and future-ready for scaling teams.

What do you dislike about the product?

What I dislike about Grafana Labs is that the learning curve can be steep for new users, especially when building advanced dashboards or setting up alerting. Performance can degrade with very large datasets if dashboards aren’t well optimized.

What problems is the product solving and how is that benefiting you?

Grafana Labs solves the problem of fragmented monitoring by bringing metrics, logs, and traces into a single observability layer. This helps quickly detect, diagnose, and resolve issues without jumping across multiple tools. For me, it improves system visibility, reduces MTTR, and enables more data-driven decisions around performance, reliability, and capacity planning.

What do you like best about the product?

This is one of the best tools available for keeping track of network infrastructure globally. It allows all global offices to be monitored with exceptionally detailed, live visibility into critical network points, and the data can be exported for use across various platforms, such as Power BI.

What do you dislike about the product?

Honestly, I don’t have any major complaints. The only thing I can think of is that it would be helpful if the data timeline could be extended to cover a few months or even years, although this option might already exist—I’m just not sure.

What problems is the product solving and how is that benefiting you?

It monitors all network equipment live, with very detailed specifications, and it will send you a notification—like a ticket in ServiceNow—if any network element goes down or isn’t functioning well.