Prometheus-AI Platform Reviews

Our primary use case for Prometheus is collecting metrics.

The feature I found most valuable is the number of integrations. It is the industry standard for metrics.

If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus.

In the next release, I'd like to see a more user-friendly interface where you can have more options on the graphical interface and more integrations that can help with the scalability.

I have been using Prometheus for about five years.

I would rate the stability of Prometheus a nine, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate the scalability of this solution a five, on a scale from one to 10, with one being the worst and 10 being the best.

In case you want to make it more scalable, you can add other open-source projects like Thanos that can integrate with Prometheus.

I have not contacted technical support because there is none. The community is the technical support.

The initial setup of Prometheus was easy.

The deployment time mostly depends on the desired use case for Prometheus.
For example, monitoring a couple of servers would take about one hour to deploy. On the other hand, if you are planning to deploy several clusters or Kubernetes and other managed services, that adds complexity, and then deployment takes days or even weeks.

The reason we didn't go with, for example, AWS X-ray, Azure Monitor, or AppDynamics is that we didn't want to be tied to a specific provider.

I would advise others that before buying this solution they make a good design and think about their use case because the metrics can scale rapidly as can the amount of data you ingest. Without a good design, that might not be possible.

Overall, I would rate the Prometheus solution a nine, on a scale from one to 10, with one being the worst and 10 being the best. The reason for this is because it's open source, so there are no fees. There are no licenses to pay for and it has a great community. 

Prometheus became the standard of the industry for metrics as you can find a lot of documentation, forums, and many answers to any questions online. Also, Prometheus has constant updates to improve applications and to fix either the box or the issues. The ability to integrate with a wide range of other applications makes this solution even better.

We have Prometheus deployed in both the public cloud and on-premises.

There are about 100 users of Prometheus in our company.

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.  

I use Prometheus to monitor my application, system, and database.

The best thing about Prometheus is its integration. It's completely flexible and customizable, which is great. You have a lot of flexibility with Prometheus.

Prometheus can definitely improve its visualization. For example, the matrices represented in Prometheus do not have a very good visualization on their dashboard. The graphs displayed in Prometheus are not well-animated, so that is the area Prometheus can work on to make it more precise and better.

In the future release, logs are the thing I would add here. Currently, Prometheus does not have anything to log in to an application. So, I would definitely like to add that feature. Additionally, Prometheus has a lot of exporters, but they do not have any exporters for a database except MySQL. So, I would like to add more exporters for other data sources like databases.

I have been using this solution for three months now. I am using the latest version of Prometheus. The previous version I used was 2.43.0.

It is a stable product.

Prometheus is a scalable product.

Prometheus is an open source tech. You can go over to the online community for support, and your queries will be answered. 

It's an easy setup. I would rate it a three on a scale of one to ten, where one is very easy, and ten is very complex. The whole setup took around a week.

I would say that you can use Prometheus as it's definitely good to work with, and if you need any support from me, you can definitely contact me.

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

In order to have a visuality from Grafana, we create the metrics using Prometheus. Prometheus pushes all these metrics to Grafana. After scraping all the metrics and plotting them on a graph using Grafana, then we used Prometheus as middleware for getting all the metrics from all our applications and infrastructure.

We use Prometheus with Grafana and without either of them, it would not fit our use case.

The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure.

A slight alteration to the user interface should be made to increase efficiency and streamline the process. Currently, we are utilizing Prometheus to gather and compile metrics and then utilizing Grafana to display them in the form of a graph. However, I believe that Prometheus has the capability to handle both of these tasks on its own, with perhaps the addition of a supplementary plugin. By doing so, the need for utilizing two separate applications will be eliminated.

I have been using Prometheus for a couple of years.

We have experienced some performance issues, but I cannot say for certain whether it is due to Prometheus or if it is a result of our infrastructure. During these instances, we have noticed that the mix of metrics can become disrupted for a period of time due to high levels of CPU utilization or other factors. As a result, we are unable to retrieve metrics during these instances. This has been a challenge that I have faced while using Prometheus. It is unclear whether there is a solution, such as a resource optimization, that could help to alleviate these issues. However, it is expected that the utilization of resources should improve as the number of metrics that we scrape increases.

I rate Prometheus an eight out of ten.

I rate the scalability of Prometheus a ten out of ten.

The initial setup should be relatively uncomplicated. I haven't personally dealt with the implementation aspect but based on my previous experiences, we utilized Prometheus and Grafana together in our Kubernetes cluster. Thus, we were able to deploy it with ease, all within one unified operation.

We did the implementation of the solution in-house.

We have received a return on investment using Prometheus.

The solution is open source.

Prometheus, similar to Grafana, is incredibly useful and effective, particularly when you become more familiar with its functions and capabilities. By developing a stronger understanding of the functions utilized by Prometheus, it becomes much easier to extract relevant metrics and create visually appealing graphs. Thus, it is recommended that users invest time in learning and mastering these functions for optimal results.

I rate Prometheus an eight 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. 

Our primary use case for this solution is collecting, monitoring and analyzing logs in the cloud environment. We use this solution in an Azure environment and Cloud space.

The dashboard is very valuable because it provides the ability to collect and compare logs from various resources.

The setup process could be more straightforward and user-friendly.

We have been using this solution for six months.

The solution is stable.

The solution is scalable.

I rate this solution a seven out of ten. The solution is good but can be improved by creating a more straightforward setup process. I advise people considering this solution to spend some time reading the documentation to ensure they understand the type of features available.

We use all of the metrics of Prometheus as an indicator if something goes wrong with our own applications as part of our on-call service. We represent the data on Grafana because Grafana is tightly integrated with Prometheus.

It has lots of APIs and libraries to integrate with any kind of language, including Python, Perl, PHP, Java, and Kotlin. You can easily plug and play integrating Prometheus with many operators. The official operators can be run on top of Kubernetes. It is a widely known and good solution for monitoring. 

The simplicity of the query language could be improved. The current query language is not easy to work with.

I have been using Prometheus for the past year.

Prometheus is definitely stable.

I do not handle scalability because it is managed by other teams.

I would recommend that you use it with simple applications, by running a Docker inside the Docker. It is a good and robust solution, and it is widely known by many companies across the software domain. I would rate Prometheus a nine out of ten.

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 use Prometheus to monitor logs for microservices.

The product has an easy-to-understand interface.

They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version. Additionally, they should release real-time updates and a graphical interface for logs.

I used it three months ago.

We have five Prometheus users in our organization.

The initial setup is easy.

The product is expensive compared to Datadog.

The platform’s alerting functionality improves incident response time. It offers an open-source toolkit for startups and new students. While its free version offers efficient capabilities, opting for paid features can unlock additional functionalities, particularly beneficial for larger enterprises with heightened security needs and extensive service requirements. The decision to invest in Prometheus is influenced by factors such as data volume, security considerations, and the need for seamless error detection and notification mechanisms.

I rate it an eight 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.