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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Azure Monitor vs ELK

Azure Monitor vs ELK

OverviewComparisonAlternatives

Overview

ELK
ELK
Stacks863
Followers941
Votes23
Azure Monitor
Azure Monitor
Stacks60
Followers184
Votes0

Azure Monitor vs ELK: What are the differences?

Introduction

Azure Monitor and ELK (Elasticsearch, Logstash, and Kibana) are both popular tools used for monitoring and analyzing logs and metrics in a distributed system. While they have similar functionalities in terms of log management and analysis, there are key differences between the two.

  1. Data Collection and Storage: Azure Monitor is a native monitoring service provided by Microsoft Azure, which collects and stores logs and metrics directly from Azure resources and applications. It provides built-in integrations and agents for collecting data from Azure services. On the other hand, ELK is an open-source stack that requires manual configuration and setup. It relies on the Filebeat and Logstash components to collect and parse logs from various sources into Elasticsearch, where they are stored and indexed.

  2. Scalability: Azure Monitor is a fully managed service and automatically scales with the growth of the Azure infrastructure. It can handle large volumes of data without any additional configuration, making it suitable for enterprise-scale deployments. In contrast, ELK requires manual configuration and optimization for scalability. As the log volume increases, additional resources need to be provisioned, and configuration changes may be required to prevent performance issues.

  3. Integration with Azure Services: Azure Monitor has deep integration with various Azure services, allowing for seamless monitoring of these resources. It can collect and analyze logs and metrics from Azure Virtual Machines, Azure App Service, Azure Kubernetes Service, and more. ELK, being a generic log management solution, requires manual configuration and setup for integrating with Azure services. Additional steps might be required to collect logs from specific Azure resources.

  4. Visualization and Analysis: Azure Monitor provides a set of built-in dashboards and visualization tools for analyzing logs and metrics. It also has native integration with Azure Portal, enabling users to view and analyze data within the portal. On the other hand, ELK offers a highly customizable and flexible visualization tool called Kibana. Kibana allows users to create custom dashboards and visualizations using a wide range of data visualization techniques.

  5. Alerting and Notification: Azure Monitor provides a comprehensive alerting system that can be configured to send notifications based on specific conditions and thresholds. It integrates with other Azure services like Azure Functions and Logic Apps, allowing users to take automated actions based on alerts. ELK, being primarily a log management tool, does not have built-in alerting capabilities. However, it can be integrated with other third-party tools or custom scripts to achieve similar functionality.

  6. Pricing and Cost: Azure Monitor has a pay-as-you-go pricing model based on the volume of data ingested and stored. It offers a range of pricing tiers to cater to different usage scenarios. ELK, being an open-source solution, does not have any licensing cost. However, the cost of running ELK in a production environment includes infrastructure costs, maintenance, and support. Additionally, ELK may require more expertise for setup and configuration, which can add to the overall cost.

In summary, Azure Monitor is a native monitoring service that provides easy integration with Azure resources, automatic scalability, built-in visualization and analysis tools, and comprehensive alerting capabilities. ELK, on the other hand, is an open-source stack that requires manual setup and configuration, offers flexible visualization options, and can be integrated with third-party tools for alerting. The choice between the two depends on specific requirements, expertise, and the level of integration needed with Azure services.

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Detailed Comparison

ELK
ELK
Azure Monitor
Azure Monitor

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.

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.

-
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
863
Stacks
60
Followers
941
Followers
184
Votes
23
Votes
0
Pros & Cons
Pros
  • 14
    Open source
  • 4
    Can run locally
  • 3
    Good for startups with monetary limitations
  • 1
    External Network Goes Down You Aren't Without Logging
  • 1
    Easy to setup
Cons
  • 5
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations
No community feedback yet
Integrations
No integrations available
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to ELK, 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.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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

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