Prometheus Reviews

Prometheus can be deployed on-premise and in the cloud.

Prometheus is an open-source network monitoring solution.

Prometheus is very flexible. We use it for network monitoring and we can always add new servers, equipment, or whatever that we want to monitor with it.

I have been using Prometheus for approximately two years.

Prometheus is stable.

The scalability of Prometheus is very good.

We have the solution rolled out across multiple small businesses. We have hundreds of users collectively using the solutions.

I have not used the technical support from Prometheus.

Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier.

I am the one who manages Prometheus and does the maintenance.

Prometheus is free. We use the solution for monitoring and it has worked well.

The price of Prometheus is good, it is affordable because it is open source and there is no cost to it. You put it on your own server and the costs incurred completely depend on how you set it up.

Prometheus can directly compete against other solutions, such as Zabbix or any other network monitoring solution.

My advice to others is to read all the documentation before usage.

I rate Prometheus an eight out of ten.

I rated it an eight because it is easy to use but the installation can be difficult.

We mainly use it for server monitoring and exposing the metrics format.

I like its lightweight configuration functions.

There are multiple solutions that we use alongside Prometheus while working. These include AM Solutions and Grafana. These are different systems that are logged into and have different technologies and spaces. However, it is difficult to navigate through them at times, so a single dashboard will be something that will be appreciated.

Moreover, there isn’t much clarity regarding the issues that happen at the server end. It is a push model and from the client’s point of view, it needs to look better and solve remote issues.

I have been using Prometheus for more than an year.

The stability is alright and I don’t see any issues. I will give it a seven out of ten as there are some remote issues.

We have a technical department and an internal platform team who contact them on our behalf.

Comparing AppDynamics with Prometheus, AppDynamics has a full suite of solutions, whereas Prometheus is mainly used for monitoring purposes.

We have the solution deployed by a Grafana vendor who made it a cloud version.

It is a good solution overall, so I can rate it a seven out of ten.  

We use the solution as a centralized system to monitor multiple servers.

The solution's most valuable feature is exporters. It helps us extract data from multiple sources and store it in a single place. It is a user-friendly data voucher that gets insights and essential information about our servers. It works well for the end production environment.

The solution's documentation needs improvement. Presently, we need help to get metrics. Whenever CPU utilization is high, we should receive alerts on emails. But, we encounter difficulties here as the documentation is unclear.

I have been using the solution for the last two months.

It is a stable solution. We have deployed it for around 20+ servers and multiple dashboards.

It is a scalable solution. We have around 50 solution users in our organization.

We used CloudWatch before. Later, we switched to Prometheus for centralized dashboards and extensive data capacity.

The solution's initial setup process was relatively easy. We followed the documentation to understand the essential steps required for deployment.

We use the solution's open-source version.

I recommend Prometheus as it has multiple exposures. I rate the overall solution a seven out of ten.

We use the solution to collect monitoring data.

The product’s scalability is valuable.

The product must improve its documentation.

I have been using the solution for three years.

The tool is stable.

More than ten people were using the solution in my organization.

The solution is deployed both on AWS and Azure. The deployment is easy. There are multiple ways to do it.

The product is free.

I would recommend the solution to others. Overall, I rate the product a nine out of ten.

We use Prometheus to gather business and service metrics so that we can export and visualize them through other tools like Grafana.

The solution helps us to scale our products and services, and it helps me by gathering those metrics. 

The DSL could be improved. 

I have been using the solution for three to four years. 

The product is stable. 

The solution is scalable; our engineering team of 80 staff members uses it, and three staff are responsible for maintenance. 

The initial setup is straightforward.

We didn't evaluate other options. We went straight for Prometheus.

I would rate this solution eight out of ten. 

I use Prometheus to monitor Kubernetes clusters.

The most valuable features of the solution are metrics scraping capabilities and the open source community and support.

Prometheus requires improvement on the query side. When I query the data from last year, it queries within its database. Sometimes, it just crashes it out. They need to improve this feature where the SQL queries take much time and sometimes crash the whole Prometheus cluster.

I have been using Prometheus for one year.

The solution's initial setup is easy and fast.

Prometheus is an open-source solution.

We chose Prometheus because it was easy to install and has wide communities to support us. The solution's alerting functionality has improved our incident response time. We have integrated the alert manager with PagerDuty, which has greatly helped us improve the functionality. Prometheus is an easy-to-use solution, and I would recommend it to other users.

It is easy for a beginner to learn to use Prometheus for the first time. You can integrate it and start using it.

Overall, I rate the solution an eight out of ten.

We use the solution to record and store the metrics data.

The solution's most valuable feature is counter.  

They should improve the solution's stability and make it even more stable.

We have been using the solution for a few years.

I rate the solution's stability as a nine.

It is a scalable solution.

We follow online support forums in case of any technical issues with the solution.

The solution's initial setup was straightforward. We have hosted it on Kubernetes installation.

Our team of DevOps engineers deploys the solution. Also, we take help from cloud service providers while deploying it for educational projects.

The solution is free of cost.

It is an efficient solution. It ensures accurate metric data even in the case of system downtime. Also, support engineers find it easier to understand. 

I rate the solution as a nine.

My use cases include monitoring, scraping logs from the Kubernetes deployment, scraping Kubernetes logs, and pushing it over the final.

Prometheus is quite reliable and has a fast data storage system and database. I found metric collection and sterilization of the metrics a valuable feature.

Prometheus' UI color can improve. Using the Prometheus UI for configuration or analyzing queries is a horrible experience.

I have been using Prometheus for longer than three years.

Prometheus is quite a good solution in comparison with, for example, Vatix, which I evaluated for my checks collections named. Prometheus is a great solution for monitoring.

I would give this solution an eight, on a scale from one to 10, with one being the worst and 10 being the best.