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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. AWS X-Ray vs Jaeger

AWS X-Ray vs Jaeger

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks342
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
AWS X-Ray
AWS X-Ray
Stacks68
Followers132
Votes0

AWS X-Ray vs Jaeger: What are the differences?

Introduction

AWS X-Ray and Jaeger are both distributed tracing systems used for monitoring and troubleshooting applications. Although they share a similar purpose, there are key differences between these two tools that make them unique in their own ways.

  1. Scalability and Compatibility: AWS X-Ray is developed and managed by Amazon Web Services (AWS) and is tightly integrated with other AWS services. It is designed to work seamlessly with AWS resources and services, making it an excellent choice for those heavily using AWS infrastructure. On the other hand, Jaeger is an open-source project that can be integrated with various programming languages and platforms, making it more versatile and compatible with different environments.

  2. Ease of Use: AWS X-Ray provides a user-friendly interface with a simple setup process. It offers a centralized console for visualizing traces and analyzing performance data. Jaeger, being an open-source solution, requires more effort in terms of setting up and configuring the system. However, it provides more flexibility for customization and control over the tracing process.

  3. Integration with Ecosystem: AWS X-Ray seamlessly integrates with other AWS services, such as AWS Lambda, AWS Elastic Beanstalk, and Amazon ECS, enabling detailed tracing within the AWS ecosystem. Jaeger, being an open-source tool, can be integrated with different frameworks, libraries, and platforms, regardless of the underlying infrastructure.

  4. Pricing: AWS X-Ray is a service provided by AWS and has a specific pricing structure. The cost depends on the usage, including the number of traces, data ingested, and data scanning. In contrast, Jaeger is free and open source, without any direct costs for using the tool. However, it should be noted that deploying and maintaining Jaeger may incur operational costs.

  5. Community Support: AWS X-Ray benefits from being backed by AWS, a prominent cloud service provider. It has extensive documentation and support resources available from the AWS community. Jaeger, being an open-source project, has an active community that contributes to its development and provides support through forums, GitHub, and online communities.

  6. Security and Compliance: AWS X-Ray inherits the security and compliance measures implemented by AWS, ensuring data integrity, encryption, and access control within the AWS environment. Jaeger, being open-source, requires implementation and management of security measures independently, potentially requiring additional effort to ensure compliance with security standards.

In summary, AWS X-Ray is an AWS-specific tracing solution with tight integration, ease of use, and seamless integration within the AWS ecosystem. Jaeger, on the other hand, is an open-source tool that offers more flexibility, compatibility, and customization options. The choice between these two tools depends on the specific requirements, preferences, and underlying infrastructure of the application being monitored and traced.

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Detailed Comparison

Jaeger
Jaeger
AWS X-Ray
AWS X-Ray

Jaeger, a Distributed Tracing System

It helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With this, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components.

-
End-to-end tracing; AWS Service and Database Integrations; Support for Multiple Languages
Statistics
GitHub Stars
22.0K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
342
Stacks
68
Followers
464
Followers
132
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
Java
Java
MySQL
MySQL
PostgreSQL
PostgreSQL
Node.js
Node.js

What are some alternatives to Jaeger, AWS X-Ray?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

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

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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