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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Azure Monitor vs Prometheus

Azure Monitor vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Azure Monitor
Azure Monitor
Stacks60
Followers184
Votes0

Azure Monitor vs Prometheus: What are the differences?

Azure Monitor and Prometheus are both monitoring solutions. Here are the key differences between them.

  1. Scalability: One major difference between Azure Monitor and Prometheus is their scalability. Azure Monitor is a fully managed service provided by Microsoft, which means it can automatically scale to handle large workloads without any manual intervention. On the other hand, Prometheus is an open-source monitoring tool that requires manual scaling as the workload increases.

  2. Data Collection: Azure Monitor offers a wide range of data collection methods, including agents, APIs, and platform integrations. It can collect data from various sources such as virtual machines, containers, and Azure services. In contrast, Prometheus primarily collects data using its own built-in client libraries, requiring application owners to instrument their code to expose metrics.

  3. Alerting: Azure Monitor provides advanced alerting capabilities, allowing users to create alert rules based on metrics, logs, and events. It also supports various notification channels such as email, SMS, and webhooks. Prometheus also supports alerting, but its alerting system is less robust compared to Azure Monitor. It has limited built-in notification options and relies heavily on external alert managers for advanced alert management and routing.

  4. Dashboards: Azure Monitor offers a user-friendly dashboarding experience with drag-and-drop capabilities and a wide range of visualization options. It provides pre-built dashboards for monitoring Azure resources and also allows users to create custom dashboards. Prometheus, on the other hand, provides a basic web interface for data visualization, but it primarily focuses on exposing data via its query language and relies on external tools for more advanced dashboarding capabilities.

  5. Integration with Ecosystem: Azure Monitor is tightly integrated with the Microsoft Azure ecosystem, making it an ideal monitoring solution for organizations using Azure services. It provides out-of-the-box integration with various Azure services, including Virtual Machines, Azure Kubernetes Service, and Azure Functions. Prometheus, being an open-source tool, is more agnostic and can be used with any infrastructure or cloud provider. It has integrations for various platforms and services, including Kubernetes, AWS, and GCP.

  6. Pricing Model: Azure Monitor has a usage-based pricing model, where users pay for the data ingested and the features they use. It offers different pricing tiers with varying levels of functionality and scalability. Prometheus, on the other hand, is open-source and free to use. However, there may be additional costs associated with running Prometheus at scale, such as storage costs for the collected metrics and the infrastructure required for running Prometheus servers.

In summary, Azure Monitor is a fully managed service with auto-scaling capabilities, comprehensive data collection methods, advanced alerting and dashboarding features, tight integration with Azure services, and a usage-based pricing model. On the other hand, Prometheus is an open-source tool that requires manual scaling, primarily collects data through client libraries, has limited built-in alerting and dashboarding capabilities, and can be used with various platforms and services.

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Advice on Prometheus, Azure Monitor

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

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.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

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.

794k views794k
Comments

Detailed Comparison

Prometheus
Prometheus
Azure Monitor
Azure Monitor

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.

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.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Store and analyze all your operational telemetry in a centralized, fully managed, scalable data store that’s optimized for performance and cost; Test your hypotheses and reveal hidden patterns using the advanced analytic engine, interactive query language, and built-in machine learning constructs; Integrate with popular DevOps, issue management, IT service management, and security information and event management tools
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
60
Followers
3.8K
Followers
184
Votes
239
Votes
0
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 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
No community feedback yet
Integrations
Grafana
Grafana
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to Prometheus, Azure Monitor?

Grafana

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.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

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.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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