StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AWS X-Ray vs Metricly

AWS X-Ray vs Metricly

OverviewComparisonAlternatives

Overview

AWS X-Ray
AWS X-Ray
Stacks68
Followers132
Votes0
Metricly
Metricly
Stacks1
Followers1
Votes0

AWS X-Ray vs Metricly: 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, Metricly is detailed as "A platform that coaches users throughout their cloud journey to safely and easily control their public cloud spending". It is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs.

AWS X-Ray and Metricly can be primarily classified as "Performance Monitoring" tools.

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, Metricly provides the following key features:

  • Capacity analytics
  • Performance analytics
  • Demand monitoring

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

AWS X-Ray
AWS X-Ray
Metricly
Metricly

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.

It is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs.

End-to-end tracing; AWS Service and Database Integrations; Support for Multiple Languages
Capacity analytics; Performance analytics; Demand monitoring; Cost management; Billing & provisioning; Multi-cloud management; Utilization reports; EC2 cost reports.
Statistics
Stacks
68
Stacks
1
Followers
132
Followers
1
Votes
0
Votes
0
Integrations
Java
Java
MySQL
MySQL
PostgreSQL
PostgreSQL
Node.js
Node.js
GitHub
GitHub
Apache HTTP Server
Apache HTTP Server
NGINX
NGINX
Docker
Docker
PHP
PHP
Python
Python
Node.js
Node.js

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

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!

Amazon CloudWatch

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana