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  1. Stackups
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  3. Monitoring
  4. Monitoring Tools
  5. Azure Monitor vs Metricbeat

Azure Monitor vs Metricbeat

OverviewDecisionsComparisonAlternatives

Overview

Metricbeat
Metricbeat
Stacks48
Followers125
Votes3
Azure Monitor
Azure Monitor
Stacks60
Followers184
Votes0

Azure Monitor vs Metricbeat: What are the differences?

Introduction

Azure Monitor and Metricbeat are two monitoring tools used for tracking and analyzing metrics in a distributed system. While both serve similar purposes, there are key differences between the two that make them suitable for different scenarios.

  1. Data Collection: Azure Monitor primarily collects data from Azure services and resources, providing insights into the health and performance of cloud-based applications. On the other hand, Metricbeat is an open-source tool that collects system-level metrics and logs from various sources, including infrastructure and applications in both cloud and on-premises environments.

  2. Integration: With its native integration into the Azure ecosystem, Azure Monitor seamlessly works with other Azure services, allowing easy monitoring and analysis of Azure resources. In contrast, Metricbeat offers integration with a wide range of systems and frameworks beyond the Azure environment, including popular technologies like Docker, Kubernetes, and Elasticsearch.

  3. Customizability: Azure Monitor provides pre-defined metrics and a set of customizable metrics, enabling users to monitor specific aspects of their Azure resources. Metricbeat, on the other hand, offers a broader range of customization options by allowing users to define their own modules and collect metrics and logs specific to their applications and infrastructure.

  4. Alerting Capabilities: Azure Monitor offers built-in alerting capabilities, allowing users to configure alerts based on specific conditions and thresholds. These alerts can trigger actions such as sending notifications or invoking automated remediation tasks. Metricbeat, while not providing built-in alerting, can be used in conjunction with other monitoring tools to set up alerting pipelines based on the collected metrics.

  5. Monitoring Capabilities: Azure Monitor provides deep insights into the health and performance of Azure services and resources, offering features such as application monitoring, logs analysis, and performance counters. Metricbeat, with its system-level monitoring approach, focuses more on infrastructure metrics, including CPU usage, memory usage, and disk I/O.

  6. Deployment Flexibility: Azure Monitor is tightly integrated into the Azure platform, making it suitable for organizations heavily relying on Azure services. Metricbeat, being open-source and more flexible in terms of deployment options, can be used in various cloud and on-premises environments, making it a versatile choice for monitoring heterogeneous systems.

In summary, Azure Monitor is a specialized monitoring tool designed specifically for Azure resources with native integration and in-depth monitoring capabilities. On the other hand, Metricbeat is a more flexible solution, allowing users to collect and customize metrics from various sources beyond the Azure ecosystem.

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Advice on Metricbeat, Azure Monitor

Sunil
Sunil

Team Lead at XYZ

Jun 15, 2020

Needs adviceonPrometheusPrometheusGrafanaGrafanaLinuxLinux

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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Comments

Detailed Comparison

Metricbeat
Metricbeat
Azure Monitor
Azure Monitor

Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics.

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.

System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
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
Stacks
48
Stacks
60
Followers
125
Followers
184
Votes
3
Votes
0
Pros & Cons
Pros
  • 2
    Simple
  • 1
    Easy to setup
No community feedback yet
Integrations
Redis
Redis
Linux
Linux
NGINX
NGINX
Windows
Windows
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to Metricbeat, 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.

Prometheus

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.

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).

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