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

Azure Monitor vs Jaeger

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks342
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
Azure Monitor
Azure Monitor
Stacks61
Followers184
Votes0

Azure Monitor vs Jaeger: What are the differences?

Azure Monitor vs Jaeger

Azure Monitor and Jaeger are both tools used for monitoring and troubleshooting applications, but they have several key differences.

  1. Data Source: One of the key differences between Azure Monitor and Jaeger is the data source they are designed to work with. Azure Monitor is specifically designed to monitor applications and infrastructure hosted on the Azure cloud platform. It provides comprehensive monitoring capabilities for Azure resources such as virtual machines, databases, and containers. On the other hand, Jaeger is an open-source distributed tracing system primarily used for monitoring and troubleshooting microservices architectures. It allows users to trace the end-to-end path of a request as it traverses through different microservices.

  2. Tracing Capabilities: While both Azure Monitor and Jaeger offer tracing capabilities, they differ in their approach. Azure Monitor uses application insights to enable distributed tracing, allowing users to track requests across different components of their application. It provides deep insights into application performance, latency, and dependencies. Jaeger, on the other hand, is specifically built for distributed tracing and provides highly detailed information about request latency, spans, and traces. It can be integrated with various frameworks and languages to enable tracing across different microservices.

  3. Scalability: Another difference between Azure Monitor and Jaeger is their scalability capabilities. Azure Monitor is a cloud-based monitoring solution and can automatically scale based on the demand. It can handle large-scale deployments and can collect and process massive amounts of monitoring data. Jaeger, being an open-source tool, can also scale based on the infrastructure it is hosted on. However, it may require additional configuration and optimization to handle high volumes of tracing data.

  4. Integration with other tools: Azure Monitor is tightly integrated with other Azure services and tools. It can easily integrate with Azure DevOps for automated monitoring and alerting, Azure Log Analytics for log aggregation and analysis, and Azure Application Insights for application performance monitoring. Jaeger, being an open-source tool, can be integrated with various tracing libraries, frameworks, and languages. It can also be integrated with other observability tools like Prometheus and Grafana for advanced analytics and visualization.

  5. Pricing and Licensing: Azure Monitor is a paid service and its pricing is based on the usage of Azure resources. The cost depends on the number of resources being monitored and the level of monitoring capabilities required. Jaeger, being an open-source tool, is free to use and can be hosted on your own infrastructure. However, the cost of managing and maintaining the infrastructure should be considered.

  6. Vendor Lock-In: Azure Monitor is a proprietary tool provided by Microsoft, which means it is tightly integrated with the Azure cloud platform. While it offers comprehensive monitoring capabilities for Azure resources, it may create a vendor lock-in situation where switching to a different cloud provider or platform becomes challenging. Jaeger, being open-source, provides more flexibility and avoids vendor lock-in, as it can be hosted on any infrastructure or cloud platform.

In summary, Azure Monitor is specifically designed for monitoring Azure resources and provides comprehensive monitoring capabilities, while Jaeger is an open-source distributed tracing system primarily used for monitoring and troubleshooting microservices architectures. These tools differ in data source, tracing capabilities, scalability, integration with other tools, pricing, and vendor lock-in considerations.

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Detailed Comparison

Jaeger
Jaeger
Azure Monitor
Azure Monitor

Jaeger, a Distributed Tracing System

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
GitHub Stars
22.0K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
342
Stacks
61
Followers
464
Followers
184
Votes
25
Votes
0
Pros & Cons
Pros
  • 7
    Open Source
  • 7
    Easy to install
  • 6
    Feature Rich UI
  • 5
    CNCF Project
No community feedback yet
Integrations
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to Jaeger, 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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