
Is Prometheus a good logs system?
Prometheus is a metrics system rather than a logs system. There's the mtail and grok exporters to process logs, but really that's only for cases where instrumenting your code with metrics is not possible. For logs something like Elasticsearch is far more appropriate. I can gather metrics from ElasticSearch itself.
How do I use the query log in Prometheus?
Prometheus has the ability to log all the queries run by the engine to a log file, as of 2.16.0. This guide demonstrates how to use that log file, which fields it contains, and provides advanced tips about how to operate the log file. Enable the query log The query log can be toggled at runtime.
Is there an alternative to Elk for Prometheus logs?
Check out graylog; it may be able to do what you want (and it's also an alternative to ELK). Prometheus is a metrics system rather than a logs system. There's the mtail and grok exporters to process logs, but really that's only for cases where instrumenting your code with metrics is not possible.
Is it possible to get alerting logs from Prometheus to slack?
Really, it would be great to be able to use the alerting features of Prometheus so that if a certain log is made it (for instance) dumps the log message into a slack channel etc. Appreciate some pointers on this one, thanks. Check out graylog; it may be able to do what you want (and it's also an alternative to ELK).

Is Prometheus used for logging?
Longer answer: Prometheus is a system to collect and process metrics, not an event logging system.
What is Prometheus and why is it used?
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting.
What data does Prometheus collect?
Prometheus collects and stores its metrics as time series data, i.e. metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels.
How does Prometheus pull data?
Prometheus gathers metrics from different systems by scraping data from HTTP endpoints. It uses this information to identify issues, such as when an endpoint is missing or should not exist or when a time-series pattern indicates a problem. Metrics collected by Prometheus include: Summary.
Is Prometheus a database?
Prometheus is an open source monitoring solution written in Go that collects metrics data and stores that data in a time series database. It was originally built by SoundCloud in 2012 and became part of the Cloud Native Computing Foundation (CNCF) in 2016.
How is data stored in Prometheus?
Prometheus has a sophisticated local storage subsystem. For indexes, it uses LevelDB. For the bulk sample data, it has its own custom storage layer, which organizes sample data in chunks of constant size (1024 bytes payload). These chunks are then stored on disk in one file per time series.
Is Prometheus pull or push?
Data Acquisition Method: Push (CollectD, Zabbix, and InfluxDB); Pull (Prometheus, SNMP, and JMX).
Who is using Prometheus?
580 companies reportedly use Prometheus in their tech stacks, including Uber, Slack, and Robinhood. Digital Ocean, Ericsson, CoreOS, Weaveworks, Red Hat, and Google.
Is Prometheus and splunk the same?
Prometheus is open source, and free. Splunk is a one-stop-shop for everything related to data management, and they can be used in a broad range of fields (IoT, IT, security, and business metrics). Splunk is a proprietary service that can't be used for free.
How many metrics can Prometheus handle?
Prometheus uses a very simple metric model with four metric types that are only supported in the client libraries.
What metrics are available in Prometheus?
There are four primary Prometheus metric types to query for via PromQL: counters, gauges, histograms, and summaries. These metric types fulfill the needs or requirements for most use cases, and are found in Prometheus' official client libraries: Go, Java, Ruby, and Python.
What port does Prometheus use?
port 9090In the default configuration there is a single job, called prometheus , which scrapes the time series data exposed by the Prometheus server. The job contains a single, statically configured, target, the localhost on port 9090 .
What does the myth of Prometheus teach us?
Prometheus stands for human progress against the forces of nature. We learn close to the beginning that he has given humanity the gifts of fire and hope. Hope helps human beings to struggle for a better future while fire, as the source of technology, makes success in that struggle possible.
What is Prometheus and Grafana used for?
Prometheus is a monitoring solution for storing time series data like metrics. Grafana allows to visualize the data stored in Prometheus (and other sources). This sample demonstrates how to capture NServiceBus metrics, storing these in Prometheus and visualizing these metrics using Grafana.
What is the difference between Grafana and Prometheus?
Prometheus collects rich metrics and provides a powerful querying language; Grafana transforms metrics into meaningful visualizations. Both are compatible with many, if not most, data source types. In fact, it is very common for DevOps teams to run Grafana on top of Prometheus.
Why did the engineers create xenomorphs?
The crew of the USCSS Prometheus believed that the abandoned planet they explored was an outpost for weapons engineering and development, lending credence to the theory that the Engineers created the Xenomorphs (or perhaps more specifically, the Black Liquid that led to the Trilobite) for war and genocidal purposes.
What Does Prometheus do?
More About Exporters
- Exporters are responsible for exposing your application’s metrics ready for Prometheus to collect. Many users will begin with a simple deployment of the Node Exporterwhich collects basic system metrics from the Linux host it’s installed on. A wide variety of exporters are availablewith many provided by Prometheus itself or official community vendors. Whether you’re monitoring a popul…
Querying Prometheus Data
- Data within Prometheus is queried using PromQL, a built-in query language that lets you select, parse, and format metrics using a variety of operators and functions. As Prometheus uses time-series storage, there’s support for time-based range and duration selections that make light work of surfacing data added within a specific time period. Here’s an example that surfaces all the me…
Alerts
- Prometheus comes with an Alertmanager componentthat can send you notifications when metrics change. It supports rule-based policies that determine when an alert should be sent. You can receive alerts to your email address, arbitrary HTTP webhooks, and popular messaging platforms such as Slack. Alertmanager includes integrated support for aggregating and muting r…
What Can’T Prometheus do?
- While Prometheus is a comprehensive monitoring solution, there are some roles it’s ill-suited for. Prometheus is engineered with reliability and performance as its core tenets. This leads to trade-offs in the accuracy of metrics. Prometheus does not guarantee the collected data will be 100% accurate. It’s intended for high-volume scenarios where occasional dropped events don’t influen…
Conclusion
- At its simplest, Prometheus is a time series data store which can be used for managing any sequential time-based data. It’s most commonly used to monitor the metrics of other applications in your stack. While Prometheus is an effective system for storing and querying metrics, it’s usually integrated with other solutions to power graphical dashboard...
Overview
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. The project is written in Go and licensed under the Apache 2 License, with source code available on GitHub, and is a graduated project of the Cloud Native Computing Foundation, along with Kubernetes and Envoy.
History
Prometheus was developed at SoundCloud starting in 2012, when the company discovered that its existing metrics and monitoring solutions (using StatsD and Graphite) were not sufficient for their needs. Specifically, they identified needs that Prometheus was built to meet including: a multi-dimensional data model, operational simplicity, scalable data collection, and a powerful query language, all in a single tool. The project was open-source from the beginning and began to be u…
Architecture
A typical monitoring platform with Prometheus is composed of multiple tools:
• Multiple exporters typically run on the monitored host to export local metrics.
• Prometheus to centralize and store the metrics.
• Alertmanager to trigger alerts based on those metrics.
Usage
Prometheus was first used in-house at SoundCloud, where it was developed, for monitoring their systems. The Cloud Native Computing Foundation has a number of case studies of other companies using Prometheus. These include digital hosting service DigitalOcean, digital festival DreamHack, and email and contact migration service ShuttleCloud. Separately, Pandora Radio has mentioned using Prometheus to monitor its data pipeline.
Conferences
A variety of conferences and attached conferences which focused on Prometheus and its ecosystem have been held
• PromCon 2016, August 25 & 26, Berlin, 80 attendees (sold out)
• PrometheusDay 2016, Seattle
• PromCon 2017, August 17 & 18, Munich, 220 attendees (sold out)
See also
• Check MK
• Ganglia (software)
• Zabbix
• Comparison of network monitoring systems
• List of systems management systems
Further reading
• Russ, McKendrick (2015-12-15). Monitoring Docker : monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!. Birmingham, UK. ISBN 9781785885501. OCLC 933610431.
• JOSEPH., HECK (2018). KUBERNETES FOR DEVELOPERS use kubernetes to develop, test, and deploy your applications with the help of containers;use kubernetes to develop. [S.l.]: PACKT PUBLISHING. ISBN 978-1788830607. OCLC
• Russ, McKendrick (2015-12-15). Monitoring Docker : monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!. Birmingham, UK. ISBN 9781785885501. OCLC 933610431.
• JOSEPH., HECK (2018). KUBERNETES FOR DEVELOPERS use kubernetes to develop, test, and deploy your applications with the help of containers;use kubernetes to develop. [S.l.]: PACKT PUBLISHING. ISBN 978-1788830607. OCLC 1…