Prometheus 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 use the product for financial transaction monitoring.

Prometheus provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring. The integration with long-term storage solutions like VictoriaMetrics is a valuable feature.

There is a need for a more comprehensive overview of exporters, especially when dealing with many of them. We currently deal with 20 exporters; sometimes, the labels don't match. Clarity and detailed information on relabeling would benefit users, including explanations on enabling different behaviors and understanding labeling methods.

There could be more granular UI and integration with Grafana. The metric inventory and dictionary could be simpler to understand with a flexible UI. Additionally, they should provide support drill-down selection for Grafana, similar to Azure Monitor.

We have been using Prometheus for more than three years.

It is a stable platform. However, sometimes we encounter stability issues with Kubernetes environment configuration.

The product is suitable for enterprise businesses.

I found a lot of good support articles and case studies. I have a positive opinion about the technical support services.

My previous company used InfluxDB. In comparison, Prometheus has a much better and more scalable monitoring system.

The complexity of the initial setup depends on the particular task. The deployment time varies from a few minutes to a few days per project requirement, including development, staging, and production. The time for data pipeline creation also varies as per different parameters. We have a team of more than 20 executives to monitor the process. Further, it is easy to maintain.

We evaluated Dynatrace or other APM solutions.

We managed services in Azure and AWS. Prometheus is a better product than other native monitoring systems. It provides an efficient bridge between multi-cloud infrastructure. I rate it a nine out of ten.

We use the solution to understand different metrics: RAM usage, CPU usage, application utilization, application performance, container metrics, port metrics, and network metrics.

Prometheus is an open-source product that helps mold and improve it per our requirements. It is a lightweight solution that gives you many different metrics you can use in your application. The product offers complete granularity of your infrastructure. 

It integrates seamlessly with other tools like Grafana, which offers dashboard visibility. Prometheus is an extensively used product. I haven't seen any organization that is not using it. 

Prometheus can be initially difficult for users since it has its query language, PromQL. The minimalistic interface is complicated to understand. They need to improve their interface so that users who don't know PromQL can also use it. You can only leverage the tool when you know PromQL. 

I have been using the product for a year. 

Prometheus is very stable. 

The solution is lightweight, and you can scale it however you want. It is used mainly by our DevOps team, which consists of 10-20 people. 

We haven't contacted the tech support team yet. The tool has rich documentation and a good Slack community. It is a mature tool, and there are a lot of people who have used it. You can get answers to any query or confusion from them. 

Prometheus' deployment is easy and can be completed in seconds. 

Prometheus has both licensed and open-source versions. Most people use the open-source version. The licensing costs are not expensive. 

I rate the product a nine 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.

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.

We use it for monitoring our infrastructure metrics.

It is highly valuable as it serves as the foundation for our infrastructure monitoring tools.

The installation process proved to be exceptionally straightforward.

The interface is not particularly user-friendly and that could be improved.

We have been using it for two years.

I would rate its stability abilities eight out of ten.

I would rate its scalability capabilities eight out of ten.

The initial setup was straightforward, thanks to our utilization of the Kubernetes operator.

In terms of ROI, you can potentially save a few weeks, or perhaps two to three days, depending on the use case.

We evaluated Elastic and Kibana.

I recommend it because it's an incredibly useful tool, and its installation and usage are very straightforward. Overall, I would rate it eight out of ten.

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.

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.