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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AWS X-Ray vs TraceView

AWS X-Ray vs TraceView

OverviewComparisonAlternatives

Overview

TraceView
TraceView
Stacks8
Followers17
Votes7
AWS X-Ray
AWS X-Ray
Stacks68
Followers132
Votes0

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

Developers describe AWS X-Ray as "An application performance management service". 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. On the other hand, TraceView is detailed as "Ridiculously Detailed Application Monitoring". Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.

AWS X-Ray and TraceView belong to "Performance Monitoring" category of the tech stack.

Some of the features offered by AWS X-Ray are:

  • End-to-end tracing
  • AWS Service and Database Integrations
  • Support for Multiple Languages

On the other hand, TraceView provides the following key features:

  • Track every machine involved in a transaction and identify bottlenecks in a single click.
  • Isolate interesting calls and drill down to the line of code and machine it ran on.
  • Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.

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Detailed Comparison

TraceView
TraceView
AWS X-Ray
AWS X-Ray

Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.

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.

Track every machine involved in a transaction and identify bottlenecks in a single click.;Isolate interesting calls and drill down to the line of code and machine it ran on.;Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.;Smart Tracing means you can run in production, with negligible overhead (< 1%).;Understand spikes in the graphs, even if the cause is only a single outlying request.;Visualize request patterns in one place to separate the noisy from the systematic.;Cross-correlate information between multiple sources. Want to find the controller and action that scans entire MongoDB collections? Done, in a single screen.;Zoom-in on trends based on performance - no guessing involved.;From mobile to desktops, understand your customer’s true web application experience from anywhere around the world.;Track server, network, and in-browser latency based on exactly what the user sees, as measured from directly inside your users’ browsers.;Tie end user experiences back to actual server side transactions.
End-to-end tracing; AWS Service and Database Integrations; Support for Multiple Languages
Statistics
Stacks
8
Stacks
68
Followers
17
Followers
132
Votes
7
Votes
0
Pros & Cons
Pros
  • 5
    The heatmap helped me isolate DB related issues
  • 2
    Heatmap helped me find a Tomcat Memcached problem
No community feedback yet
Integrations
Heroku
Heroku
Java
Java
MySQL
MySQL
PostgreSQL
PostgreSQL
Node.js
Node.js

What are some alternatives to TraceView, 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!

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.

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.

AppDynamics

AppDynamics

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

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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