Overview
What is Prometheus?
Prometheus is a service monitoring and time series database, which is open source.
Prometheus for metric collection.
Prometheus for Quantifiable Data Collection
The Best Service monitoring and Alerting combo toolkit pack.
Prometheus - Monitor Everything
One stop solution for working on analyzing time series data
The response capacity of this program is incredible.
A very good tool for continuous monitoring.
Prometheus is one of the best MDM software.
Perfect tool for monitoring.
Free feature rich Monitoring tool!
Flexible, Powerful, In-Depth insights, Simple Monitoring and Metrics Collection Tool.
Quick Review on Prometheus Software
Prometheus Time-Series Database: Monitor model and alerts using Graphana as a data visualizer
Mature monitoring solution that has stood the test of time.
Powerful monitoring tool for IT Workload.
Awards
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Product Details
- About
- Integrations
- Tech Details
What is Prometheus?
Prometheus Integrations
Prometheus Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Comparisons
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Reviews and Ratings
(93)Community Insights
- Business Problems Solved
- Recommendations
Prometheus has proven to be a versatile and effective monitoring tool, solving various problems for users across different industries. Initially, some users found Prometheus to be complex, but once they overcame the initial learning curve, they discovered its value in monitoring time-series data and generating alerts for anomalies. With its user-friendly interface and intuitive query language, users were able to build robust monitoring solutions for their environments.
Prometheus has been widely used in microservice architectures to ensure high availability and performance, monitoring multiple services and maintaining uptime and resource consumption. It has also been integrated with other tools like Grafana and Linkerd to enhance monitoring capabilities and visualize data. Additionally, Prometheus has been utilized in monitoring databases, websites, and even corporate mobile devices to ensure network security and compliance with defined rules and policies. The flexibility of Prometheus as an open-source tool allows users to tailor it to suit their specific business needs while being cost-effective for small and medium-sized businesses with budget constraints. Overall, users appreciate the seamless experience of solving complex problems with Prometheus once they have acquired the necessary skills and find value in its extensive list of exporters and data visualization capabilities.
Prometheus is highly recommended as a monitoring system, particularly for cloud-based companies. Users emphasize its reliability, community support, and cost-effectiveness. It is suggested to try Prometheus as a monitoring solution in 2020. Additionally, users recommend utilizing Prometheus as a no-SQL database for runtime data. The tool integrates seamlessly with Grafana and can streamline services even in small organizations, although its financial feasibility may vary. To fully grasp its capabilities, users advise reading the Prometheus configuration documentation.
Attribute Ratings
Reviews
(1-17 of 17)Prometheus for Quantifiable Data Collection
- Store data metrics
- Support code queries
- Provide data source to any Grafana dashboard
- Provide categorized metric lookup
- Suggest certain code queries
- Include metric descriptions
One stop solution for working on analyzing time series data
- Slicing of Time Series data and drawing insights from them is one of the best features of Prometheus
- Huge number of visualization tools
- User Interface could be more friendly
- Learning PromQL could be tedious task
Free feature rich Monitoring tool!
- Dashboard Data metrics visualization.
- No dependency on network storage.
- Can handle complicated kubernetes pods.
- Open source.
- Complicated installation Process.
Flexible, Powerful, In-Depth insights, Simple Monitoring and Metrics Collection Tool.
- Best monitoring tool that have covered all aspects of our environment of my organization with it's useful metrics.
- Great support team offers support 24/7 and very dedicated.
- It provides excellent insights from a variety of metrics.
- Cloud native tools compatibility and support, push/pull options for easier metrics.
- My only concern is during configuration takes time as nothing works out-of-the-box.
- Query language (PromQL) can be somewhere complex while building advanced dashboard.
Quick Review on Prometheus Software
Before prometheus we have been using other softwares, however they seem to be very costly. SMB segments are not really able to spend lot of thier budgets into monitoring.
- Great visualization
- Provides multi dimensional data visualization
- Has a flexible query language
- Provides machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures
- Improve on the GUI of the application
- Backup and Restore process
- Some of the cost calculation fields are harder to program with our set up.
This is less appropriate in an environement where they have non standard ERP solution. Integreation is key in today's IT world.
- A very effective and perfect monitoring solution for our company.
- This is available at a very low budget.
- The overall design of Prometheus is really very nice.
- Some of the metrics are missing in there.
- initially, it is difficult to implement and needs practice to implement.
- Its query language promQl is difficult at all.
- Graphana library really provides hefty graphs.
- The fact that we can consume API to create our own graph is stellar.
- Built in go, so if you will use it for go, somehow it gives really great performance.
- We integrated email alerting and it worked flawlessly.
- Robustness can be taken in account.
- Still not able to depend for metrics that are corelated to preside usage for billing.
- More first-party support to other language.
- Graph are powerful but still can be tweaked to look even more modern.
One of the best monitoring tool
- Monitoring
- Alerting
- Custom Matrics
- UI could be improved
- The initial learning curve
- Alert manager could be made less complex
- Better documentation
Prometheus - as good as the movie
- Alarm reporting
- Performance graphs
- New alarm triggers
- The UI could be improved for PM graphs especially.
- Discovery of metrics outside kubernetes is not possible.
- The alert manager sometimes freeze up. Need a keep up refresh.
Prometheus is Extremely Easy-to-use Open-Source, Top-class Monitoring Solution for our Environment. Solid and Responsive 24/7 Support Service.
- Prometheus is a versatile monitoring tool that we use to monitor a variety of infrastructure and application metrics.
- It's easy to collect numeric metrics from services that run 24/7 and allows metric data to be accessed via HTTP endpoints.
- We also use it for distributing services, which runs on multiple hosts.
- We are able to monitor our operating system to identify when a server's hard disk is full or if a server constantly operates at 100% CPU.
- As I said earlier I have not encountered any major drawback just minor challenges like new users may find Prometheus a bit overwhelming with its different modules can bring confusion.
- Also they can face issues with PromQL can be somehow complex while building an advanced dashboard.
Simple but powerful!
- Server detailed statistics
- KVM virtualization (libvirt) statistics
- RAID status
- Load balancers (HAProxy for example) statistics
- DB
- Network layer
Prometheus: Monitoring makes easy.
- Easy to use.
- Open source tool.
- It has flexible metrics collections.
- It has inbuilt database for storing.
- Can improve their UI.
- Provide more support for resolution of queries.
- Increase the Performance of query.
- Efficiently storing time series data.
- Powerful querying.
- Better visualization.
- Better explanation of the query language and syntax.
- Visualisation can be better, it's not as good as Grafana.
- Long term storage.
Simple and reliable monitoring solution for big data systems.
- Scraping and collecting metrics.
- Storying time series.
- Monitoring and visualization.
- Adding more official integrations.
- Integrations with Astra DB.
- Integrations with Astra Streaming.
- Looking at metrics such as the aggregate number of HTTP requests served.
- Understanding how our services are performing in aggregate.
- Easy to deploy within a variety of architectures/environments.
- Open source so new features are added regularly and bugs are fixed in a timely manner.
- Free so there are no licensing restrictions.
- Endorsed by the Cloud Native Computing Foundation.
- Not a good choice if you need very high levels of accuracy with regards to collecting 100% of a certain type of data.
- The user interface does not have much eye candy which helps you focus on what you need to see but can appear very basic in its design sometimes.
- PromQL does have a high learning curve.
- Not great for high cardinality data types.
- Unlike other platforms, Prometheus does not have a macro system.
Keep a constant eye on your assets with Prometheus!
- Easy deployment: Prometheus can essentially monitor all your assets and provide you with relevant metrics in the form of dashboards. This is great as it is very easy to set up and is a single solution for tons of use cases.
- Integrations are very powerful. You can integrate Prometheus with almost any available application and can also onboard new notification channels via webhooks. This gives the user power to configure the platform just as per your requirement.
- Learning curve: is very limited. Any new user can master the tool in no time. Pre-built templates also help to get started and then can be customised according to the user requirements.
- Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
- More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
Universal monitoring
- Flexible metrics collection.
- Open source.
- Customizable.
- PromQL can be difficult to learn at first.