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

AWS X-Ray vs SignalFx

OverviewComparisonAlternatives

Overview

SignalFx
SignalFx
Stacks53
Followers110
Votes22
AWS X-Ray
AWS X-Ray
Stacks68
Followers132
Votes0

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

## Introduction

Key differences between AWS X-Ray and SignalFx are outlined below:

1. **Data Collection and Analysis**: AWS X-Ray primarily focuses on tracing requests as they travel through multiple AWS services, providing insights into the performance and behavior of applications. SignalFx, on the other hand, offers real-time monitoring and analytics for cloud-native environments, enabling organizations to collect, store, and analyze metrics and traces from various sources including AWS, Kubernetes, and others.

2. **Integration and Compatibility**: AWS X-Ray is tightly integrated with AWS services, making it the preferred choice for users heavily reliant on AWS resources. SignalFx, on the contrary, offers broader compatibility with multi-cloud environments and various monitoring tools, allowing for flexibility and scalability in monitoring solutions.

3. **Ease of Use and Setup**: While AWS X-Ray provides a relatively simpler setup for monitoring AWS resources, SignalFx offers a more user-friendly interface and ease of use in configuring monitoring for complex cloud-native architectures. SignalFx's advanced analytics and visualization capabilities make it easier for teams to interpret and act on monitoring data.

4. **Alerting and Notification System**: SignalFx provides a robust alerting system with advanced capabilities such as anomaly detection and predictive analytics, allowing organizations to proactively respond to potential issues. AWS X-Ray, on the other hand, offers basic alerting features that may require additional setup and configuration for holistic monitoring.

5. **Scalability and Performance**: SignalFx is known for its high scalability and performance in handling large volumes of data and supporting dynamic environments. This makes it suitable for enterprises with complex and distributed architectures. AWS X-Ray, while efficient for AWS-specific tracing, may face limitations in handling extensive monitoring needs across different cloud platforms.

6. **Customization and Extensibility**: SignalFx provides extensive customization options through its flexible data collection and visualization tools, enabling users to tailor monitoring solutions to their specific requirements. AWS X-Ray, although robust for AWS-specific tracing, may lack the same level of customization and extensibility for diverse application monitoring needs.

In Summary, AWS X-Ray and SignalFx differ in their focus on data collection and analysis, integration and compatibility, ease of use, alerting and notification capabilities, scalability and performance, as well as customization and extensibility in monitoring solutions for cloud-native environments.

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Detailed Comparison

SignalFx
SignalFx
AWS X-Ray
AWS X-Ray

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

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.

Beautiful streaming visualizations; Meaningful, fast alerting using SignalFlow analytics; High resolution metrics up to 1 sec; Filter & aggregate by dimesions like source, geo, customer, etc; Build custom real-time analytics pipelines; Use dynamic alert thresholds like moving averages; Get alerts in PagerDuty, VictorOps, HipChat, Slack, & more; Overlay events like alerts, pushes, CI runs, etc; Integrations with AWS services, Docker, Mesos, Kubernetes, Kafka, Cassandra, Mongo, MySQL & much more; Use OSS agents and metrics libraries like collectd, StatsD, etc; Provides OSS libraries in Java, Python, Go, Node, Ruby, etc; Provides OSS proxy to consume existing metrics; REST API;
End-to-end tracing; AWS Service and Database Integrations; Support for Multiple Languages
Statistics
Stacks
53
Stacks
68
Followers
110
Followers
132
Votes
22
Votes
0
Pros & Cons
Pros
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    World class customer support
  • 4
    Easy to install
  • 4
    Fastest alerts
No community feedback yet
Integrations
Golang
Golang
Redis
Redis
VictorOps
VictorOps
AWS OpsWorks
AWS OpsWorks
Amazon Route 53
Amazon Route 53
Kafka
Kafka
Python
Python
New Relic
New Relic
Chef
Chef
PagerDuty
PagerDuty
Java
Java
MySQL
MySQL
PostgreSQL
PostgreSQL
Node.js
Node.js

What are some alternatives to SignalFx, 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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