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

Azure Monitor vs OpenTracing

OverviewComparisonAlternatives

Overview

OpenTracing
OpenTracing
Stacks243
Followers101
Votes0
GitHub Stars3.5K
Forks315
Azure Monitor
Azure Monitor
Stacks61
Followers184
Votes0

Azure Monitor vs OpenTracing: What are the differences?

Azure Monitor vs. OpenTracing

Azure Monitor and OpenTracing are two widely used tools in the field of monitoring and observing applications. Both tools have their unique features and capabilities that cater to different needs of organizations. In this comparison, we will highlight the key differences between Azure Monitor and OpenTracing.

1. **Scope of Monitoring**:
Azure Monitor is a comprehensive monitoring tool provided by Microsoft Azure that enables monitoring of various services, applications, and infrastructure components within the Azure ecosystem. On the other hand, OpenTracing is a vendor-neutral project that focuses on providing a standard for distributed tracing, making it easier to monitor microservices-based applications regardless of the underlying technology stack.

2. **Data Collection**:
Azure Monitor collects monitoring data from various Azure services, virtual machines, and on-premises resources to provide insights and metrics. It offers a centralized platform for collecting, analyzing, and visualizing monitoring data. In contrast, OpenTracing focuses on collecting distributed traces to capture the flow of requests across microservices. It provides a way to instrument applications to generate distributed traces for debugging and performance analysis.

3. **Integration**:
Azure Monitor is deeply integrated with other Azure services such as Azure Log Analytics, Azure Application Insights, and Azure Storage for storing and analyzing monitoring data. It is tightly coupled with Azure's ecosystem, offering seamless integration with Azure resources. OpenTracing, on the other hand, is designed to be vendor-neutral and can be integrated with various tracing backends and tools such as Jaeger, Zipkin, and LightStep, making it suitable for multi-cloud and hybrid cloud environments.

4. **Granularity of Monitoring**:
Azure Monitor provides detailed monitoring capabilities at various levels, including infrastructure monitoring, application monitoring, and logging. It offers customizable alerts, dashboards, and logs for in-depth analysis of system performance. In contrast, OpenTracing focuses on distributed tracing at the application level, providing visibility into the interactions between services and components. It offers end-to-end tracing across microservices to identify bottlenecks and latency issues.

5. **Ease of Use**:
Azure Monitor offers a user-friendly interface, predefined metrics, and monitoring templates for easy configuration and setup. It provides built-in monitoring solutions for different Azure services, making it easy to start monitoring resources without additional configurations. OpenTracing, on the other hand, requires manual instrumentation of applications using OpenTracing APIs to generate traces. Setting up OpenTracing involves more effort in instrumenting applications compared to the out-of-the-box monitoring capabilities of Azure Monitor.

In Summary, Azure Monitor and OpenTracing differ in their scope of monitoring, data collection methods, integration capabilities, granularity of monitoring, and ease of use, catering to different monitoring requirements of organizations.

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Detailed Comparison

OpenTracing
OpenTracing
Azure Monitor
Azure Monitor

Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

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
3.5K
GitHub Stars
-
GitHub Forks
315
GitHub Forks
-
Stacks
243
Stacks
61
Followers
101
Followers
184
Votes
0
Votes
0
Integrations
Golang
Golang
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to OpenTracing, 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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