Prometheus vs Stackdriver

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Prometheus

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2.6K
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Stackdriver

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Prometheus vs Stackdriver: What are the differences?

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; Stackdriver: Monitoring, logging, and diagnostics for applications on Google Cloud Platform and AWS. Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Prometheus belongs to "Monitoring Tools" category of the tech stack, while Stackdriver can be primarily classified under "Cloud Monitoring".

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, Stackdriver provides the following key features:

  • Monitoring
  • Logging
  • Diagnostics

"Powerful easy to use monitoring" is the primary reason why developers consider Prometheus over the competitors, whereas "Monitoring" was stated as the key factor in picking Stackdriver.

Prometheus is an open source tool with 25K GitHub stars and 3.56K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

Uber Technologies, Slack, and DigitalOcean are some of the popular companies that use Prometheus, whereas Stackdriver is used by Kalibrr, Nuuvem, and Verba. Prometheus has a broader approval, being mentioned in 243 company stacks & 85 developers stacks; compared to Stackdriver, which is listed in 58 company stacks and 18 developer stacks.

Advice on Prometheus and Stackdriver
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 280.5K 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 · 85.7K 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 · 254K 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)
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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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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Pros of Prometheus
Pros of Stackdriver
  • 42
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 31
    Dimensional data model
  • 25
    Alerts
  • 21
    Active and responsive community
  • 20
    Extensive integrations
  • 18
    Easy to setup
  • 11
    Beautiful Model and Query language
  • 7
    Easy to extend
  • 6
    Nice
  • 3
    Written in Go
  • 1
    Easy for monitoring
  • 1
    Good for experimentation
  • 18
    Monitoring
  • 11
    Logging
  • 8
    Alerting
  • 7
    Tracing
  • 6
    Uptime Monitoring
  • 5
    Error Reporting
  • 4
    Multi-cloud
  • 3
    Production debugger
  • 2
    Many integrations
  • 1
    Configured basically with GAE
  • 1
    Backed by Google

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Cons of Prometheus
Cons of Stackdriver
  • 10
    Just for metrics
  • 5
    Needs monitoring to access metrics endpoints
  • 4
    Bad UI
  • 2
    Supports only active agents
  • 2
    Written in Go
  • 2
    Not easy to configure and use
  • 1
    Requires multiple applications and tools
  • 1
    TLS is quite difficult to understand
  • 2
    Not free

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

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 Stackdriver?

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Need advice about which tool to choose?Ask the StackShare community!

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

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What are some alternatives to Prometheus and Stackdriver?
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
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
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
How developers use Prometheus and Stackdriver
Scrayos UG (haftungsbeschränkt) uses
Prometheus

We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

Tom Staijen uses
Prometheus

Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

HyVive uses
Prometheus

We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

Cirrus Labs uses
Stackdriver

All monitoring, alerting and logging is powered by Stackdriver

Steren Giannini uses
Stackdriver

client-side and server-side error reporting

Bùi Thanh uses
Prometheus
  • Simple operation and easy to deploy.
Roy Olsen uses
Prometheus

Predictive monitoring.