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An open-source service monitoring system and time series database, developed by SoundCloud
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What is Prometheus?

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Prometheus is a tool in the Monitoring Tools category of a tech stack.
Prometheus is an open source tool with 49.8K GitHub stars and 8.5K GitHub forks. Here’s a link to Prometheus's open source repository on GitHub

Who uses Prometheus?

908 companies reportedly use Prometheus in their tech stacks, including Uber, Slack, and Robinhood.

2116 developers on StackShare have stated that they use Prometheus.

Prometheus Integrations

Grafana, Rancher, Kong, Traefik, and RocketChat are some of the popular tools that integrate with Prometheus. Here's a list of all 70 tools that integrate with Prometheus.
Pros of Prometheus
Powerful easy to use monitoring
Flexible query language
Dimensional data model
Active and responsive community
Extensive integrations
Easy to setup
Beautiful Model and Query language
Easy to extend
Written in Go
Good for experimentation
Easy for monitoring
Decisions about Prometheus

Here are some stack decisions, common use cases and reviews by companies and developers who chose Prometheus in their tech stack.

Needs advice
Azure MonitorAzure Monitor

Can I get metrics available through Prometheus into Azure Monitor, specifically into log analytics? (VM'S). I am running a couple of VM's inside Azure portal and I have my own private besu nodes running on them. I have my metrics set up inside the Prometheus but I was hoping to hook it up securely to Grafana but I tried everything and I can't. So the next thing is to see if can I get the metrics available through Prometheus into azure monitor, specifically into log analytics. The aim is to get the sync status, and the highest block number on each node, into log analytics so we can see what each is doing. That way we know, on a quick look, the status of each node and by extension, the condition of the private chain. What worries me is that although I have alerts if blocks stop being created or nodes lose peers we cannot see it quickly.

Prometheus is one option to give us those stats. If we can get data from Prometheus into log analytics that would solve the problem.

Can anyone help me with how I can go about it or any links? All I am seeing is for containers but I want for my VMs.

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Needs advice

I am new to DevOps and looking for training in DevOps. Some institutes are offering Nagios while some Prometheus in their syllabus. Please suggest which one is being used in the industry and which one should I learn.

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Needs advice

Hi All, We have Thanos sidecar and Prometheus set up in GCP and a Prometheus server in AWS. we want to push all the metrics of GCP to AWS. We will be creating a VPN link-up between them. But then how the GCP metrics would be connected with Prometheus/ Grafana.? I mean which IP to use it for this.?

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Matt Menzenski
Senior Software Engineering Manager at PayIt · | 15 upvotes · 690.8K views

Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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Needs advice
DatadogDatadogNew RelicNew Relic

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

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Sunil Chaudhari
Needs advice

Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.

Is it OK to use Metricbeat for Linux server or can we use Prometheus?

What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?

Regards, Sunil.

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Blog Posts

Dec 8 2020 at 5:50PM


May 21 2020 at 12:02AM

Rancher Labs

KubernetesAmazon EC2Grafana+12

Prometheus's Features

  • Dimensional data
  • Powerful queries
  • Great visualization
  • Efficient storage
  • Precise alerting
  • Simple operation

Prometheus Alternatives & Comparisons

What are some alternatives to Prometheus?
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
See all alternatives

Prometheus's Followers
3654 developers follow Prometheus to keep up with related blogs and decisions.