Prometheus vs Sensu

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Prometheus

2.5K
2.9K
+ 1
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Sensu

191
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+ 1
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Prometheus vs Sensu: What are the differences?

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

What is Sensu? Open source monitoring framework. A monitoring framework that aims to be simple, malleable, and scalable. Essentially, Sensu takes the results of “check” scripts run across many systems, and if certain conditions are met; passes their information to one or more “handlers”. Checks are used, for example, to determine if a service like Apache is up or down.

Prometheus and Sensu belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Prometheus are:

  • a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
  • a flexible query language to leverage this dimensionality
  • no dependency on distributed storage

On the other hand, Sensu provides the following key features:

  • Execute service checks
  • Send notifications
  • Collect metrics

"Powerful easy to use monitoring" is the top reason why over 32 developers like Prometheus, while over 11 developers mention "Support for almost anything" as the leading cause for choosing Sensu.

Prometheus and Sensu are both open source tools. It seems that Prometheus with 25K GitHub stars and 3.55K forks on GitHub has more adoption than Sensu with 2.96K GitHub stars and 389 GitHub forks.

Uber Technologies, Soundcloud, and DigitalOcean are some of the popular companies that use Prometheus, whereas Sensu is used by Twilio SendGrid, Airbrake, and SimpleCrypto. Prometheus has a broader approval, being mentioned in 243 company stacks & 85 developers stacks; compared to Sensu, which is listed in 33 company stacks and 7 developer stacks.

Advice on Prometheus and Sensu
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 377.3K views
Needs advice
on
Prometheus
Graphite
and
Grafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

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Replies (1)
Sakti Behera
Technical Specialist, Software Engineering at AT&T · | 3 upvotes · 176.5K views

You can look out for Prometheus Instrumentation (https://prometheus.io/docs/practices/instrumentation/) Client Library available in various languages https://prometheus.io/docs/instrumenting/clientlibs/ to create the custom metric you need for AS4000 and then Grafana can query the newly instrumented metric to show on the dashboard.

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Sunil Chaudhari
Needs advice
on
Prometheus
and
Metricbeat

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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Replies (2)
Matthew Rothstein
Recommends
Prometheus

If you're already using Prometheus for your system metrics, then it seems like standing up Elasticsearch just for Linux host monitoring is excessive. The node_exporter is probably sufficient if you'e looking for standard system metrics.

Another thing to consider is that Metricbeat / ELK use a push model for metrics delivery, whereas Prometheus pulls metrics from each node it is monitoring. Depending on how you manage your network security, opting for one solution over two may make things simpler.

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Recommends
Instana

Hi Sunil! Unfortunately, I don´t have much experience with Metricbeat so I can´t advise on the diffs with Prometheus...for Linux server, I encourage you to use Prometheus node exporter and for PCF, I would recommend using the instana tile (https://www.instana.com/supported-technologies/pivotal-cloud-foundry/). Let me know if you have further questions! Regards Jose

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Mat Jovanovic
Head of Cloud at Mats Cloud · | 3 upvotes · 334.8K views
Needs advice
on
Datadog
Grafana
and
Prometheus

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

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Replies (2)
Lucas Rincon
Recommends
Instana

this is quite affordable and provides what you seem to be looking for. you can see a whole thing about the APM space here https://www.apmexperts.com/observability/ranking-the-observability-offerings/

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Recommends
Datadog

I worked with Datadog at least one year and my position is that commercial tools like Datadog are the best option to consolidate and analyze your metrics. Obviously, if you can't pay the tool, the best free options are the mix of Prometheus with their Alert Manager and Grafana to visualize (that are complementary not substitutable). But I think that no use a good tool it's finally more expensive that use a not really good implementation of free tools and you will pay also to maintain its.

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Decisions about Prometheus and Sensu
Matt Menzenski
Senior Software Engineering Manager at PayIt · | 11 upvotes · 58.6K 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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Leonardo Henrique da Paixão
Student, QA Developer at SolarView Business · | 15 upvotes · 133.6K views

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

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Pros of Prometheus
Pros of Sensu
  • 45
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 22
    Active and responsive community
  • 21
    Extensive integrations
  • 19
    Easy to setup
  • 12
    Beautiful Model and Query language
  • 7
    Easy to extend
  • 6
    Nice
  • 3
    Written in Go
  • 2
    Good for experimentation
  • 1
    Easy for monitoring
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
  • 3
    Nagios plugin compatibility
  • 3
    Price
  • 3
    Easy configuration, scales well and performance is good
  • 1
    Written in Go

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Cons of Prometheus
Cons of Sensu
  • 11
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 3
    Not easy to configure and use
  • 2
    Requires multiple applications and tools
  • 2
    Written in Go
  • 2
    Supports only active agents
  • 1
    TLS is quite difficult to understand
  • 1
    Plugins
  • 1
    Written in Go

Sign up to add or upvote consMake informed product decisions

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.

What is Sensu?

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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What companies use Prometheus?
What companies use Sensu?
See which teams inside your own company are using Prometheus or Sensu.
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What tools integrate with Sensu?

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Blog Posts

Dec 8 2020 at 5:50PM

DigitalOcean

+11
2
1806
May 21 2020 at 12:02AM

Rancher Labs

+12
3
1210
+14
11
2086
+6
1
1157
Jun 26 2018 at 3:26AM

Twilio SendGrid

+10
11
9243
What are some alternatives to Prometheus and Sensu?
Datadog
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
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
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.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
See all alternatives