Prometheus Group Reviews

I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.

Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.

Our company is a FinTech financial institution. We expose financial APIs for major FinTechs in the US. Basically, we are a bank and have a lot of applications running behind the scenes. APM is super crucial to our organization. We need to be able to interact, understand, and get a holistic or 360-degree view about everything going on in the organization. This view includes the infrastructure and the application sides. 

The solution helps developers get a holistic view of their application performance under the AKS environment. This is especially important in lower environments where developers need to interact with everything from performance to logging perspectives. In the very early stages, the solution gives developers a quite good overview about how they are developing products and how they can make them work more efficiently. 

The solution is on-premises at our own data centers. We have an additional, hybrid installation with Amazon that includes a private cloud. 

We have 150 engineers who use the solution for applications running under the Kubernetes environment. 

The sky is the limit because the solution is a very flexible open box that can be used vastly to do anything you need to monitor applications. There is nothing that you cannot do with it. Every day, our developers or SRE teams are adding additional features with the ability to think outside the box and configure whatever they want. 

The solution is the most common, major tool for FinTech or high-tech companies. Every technology company using Kubernetes is using the solution. 

It is for monitoring.  Although we have the main guys who test the site to do the scanning process most of the time, it's all automated. 

Overall, it's easy to set up monitoring and get a lot. It helps me to enable best practices. 

And it lets me proactively identify and resolve system issues. This, in terms of,  most of the time, really reduces downtime. Because when there are notifications on time when we engage it quickly on time, our downtime is highly reduced. So basically, Prometheus is for monitoring and alerting.

When it comes to deployment, if you have no experience with something like a CI/CD pipeline, it might be a challenge. But anyone can do it with a little studying beforehand.

Our company uses the solution to scrape values from environments in central or sister premises to ensure safety. 

Kavana serves as our general user interface. The solution is used by developers, not general users by default. Developers access the solution when they want to see more details. 

The solution has very much improved our functionality and productivity. 

I use the solution in my company for monitoring purposes and metrics.

The most valuable feature of the solution stems from its ability to provide metrics and to set up the blackbox exporter to monitor microservices to see whether they are up or down, how requests are coming in, and how much data it can handle.

The solution is used for monitoring the metrics of applications. The applications have multiple functions, and each function should be monitored. I contact the developer teams to add the solution to the applications. I also use Alertmanager. If, for a specific test, a required metric is below the expected rate, the alert manager will fire a notification to the users.

The solution is useful to collect huge metrics. We have multiple applications. Collecting metrics from all the environments in my data center using the solution is very simple. The dashboards are very useful.

For a project I am currently working on in my company, I use Grafana, but for the data source part, I use Prometheus.

I use Prometheus in a Kubernetes cluster. I use Prometheus for the processes attached to Amazon EKS.

The UI and GUI are areas of concern in the product. The UI part of the tool should be more friendly. More GUI should be added to the solution. The UI and GUI should look good.

We use Prometheus for monitoring all aspects of our infrastructure end-to-end. That includes servers, virtual machines, databases, caching servers, ELK stack, and our Kubernetes servers. We are users of Prometheus.

The scraping mechanism is a wonderful feature. I've used many other monitoring systems that were mostly client-server-based models including Nagios, Zabbix, and New Relic, among others. With all of them, the server used to get overloaded when the client sent too much matrix, even in the case of a pull or push mechanism of client-server architecture. In my previous organization, we had to host several Nagios individual servers in case one went down. Prometheus gives us high availability automatically and a stand-alone process; if it doesn't run on one server, it runs on another. It's wonderful that the exports run on different servers. They scrape the matrix and then open it to a particular URL for Prometheus to read those metrics and then store them. 

I very much like the remote write feature. Prometheus bridges the gap for everyone whether they've come from an old monitoring setup or are into microservices. I also like the concept of dynamic conflict which is brilliant. 

We chose Prometheus because it's open source with a lot of documentation and community support which is lacking in other products.