Azure Monitor vs Prometheus

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Azure Monitor

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Prometheus

2.6K
3K
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237
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Azure Monitor vs Prometheus: What are the differences?

What is Azure Monitor? Full observability into your applications, infrastructure, and network. It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications.

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.

Azure Monitor and Prometheus can be categorized as "Monitoring" tools.

Some of the features offered by Azure Monitor are:

  • Store and analyze operational telemetry
  • advanced analytic engine
  • interactive query language,

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

  • 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

Prometheus is an open source tool with 25.5K GitHub stars and 3.66K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

Advice on Azure Monitor and Prometheus
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 423.2K views
Needs advice
on
PrometheusPrometheusGraphiteGraphite
and
GrafanaGrafana

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 · 219.7K 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
PrometheusPrometheus
and
MetricbeatMetricbeat

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
PrometheusPrometheus

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
InstanaInstana

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 · 376.4K views
Needs advice
on
DatadogDatadogGrafanaGrafana
and
PrometheusPrometheus

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
InstanaInstana

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
DatadogDatadog

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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Pros of Azure Monitor
Pros of Prometheus
    Be the first to leave a pro
    • 46
      Powerful easy to use monitoring
    • 38
      Flexible query language
    • 32
      Dimensional data model
    • 27
      Alerts
    • 23
      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

    Sign up to add or upvote prosMake informed product decisions

    Cons of Azure Monitor
    Cons of Prometheus
      Be the first to leave a con
      • 12
        Just for metrics
      • 6
        Bad UI
      • 6
        Needs monitoring to access metrics endpoints
      • 4
        Not easy to configure and use
      • 3
        Supports only active agents
      • 2
        Written in Go
      • 2
        Requires multiple applications and tools
      • 2
        TLS is quite difficult to understand

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Azure Monitor?

      It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications.

      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.

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

      Jobs that mention Azure Monitor and Prometheus as a desired skillset
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      What tools integrate with Azure Monitor?
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      What are some alternatives to Azure Monitor and Prometheus?
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      ELK
      It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
      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.
      Dynatrace
      It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.
      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!
      See all alternatives