Alternatives to AWS X-Ray logo

Alternatives to AWS X-Ray

New Relic, Dynatrace, AppDynamics, Jaeger, and Splunk are the most popular alternatives and competitors to AWS X-Ray.
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What is AWS X-Ray and what are its top alternatives?

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.
AWS X-Ray is a tool in the Performance Monitoring category of a tech stack.

Top Alternatives to 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. ...

  • 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. ...

  • AppDynamics
    AppDynamics

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

  • Jaeger
    Jaeger

    Jaeger, a Distributed Tracing System

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • ELK
    ELK

    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. ...

  • 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! ...

  • Azure Application Insights
    Azure Application Insights

    It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools. ...

AWS X-Ray alternatives & related posts

New Relic logo

New Relic

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New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
21.5K
8.1K
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PROS OF NEW RELIC
  • 415
    Easy setup
  • 344
    Really powerful
  • 244
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 107
    Free tier
  • 80
    Great tool for insights
  • 66
    Heroku Integration
  • 55
    Market leader
  • 49
    Peace of mind
  • 21
    Push notifications
  • 20
    Email notifications
  • 17
    Heroku Add-on
  • 16
    Error Detection and Alerting
  • 13
    Multiple language support
  • 11
    SQL Analysis
  • 11
    Server Resources Monitoring
  • 9
    Transaction Tracing
  • 8
    Apdex Scores
  • 8
    Azure Add-on
  • 7
    Analysis of CPU, Disk, Memory, and Network
  • 6
    Performance of External Services
  • 6
    Error Analysis
  • 6
    Detailed reports
  • 6
    Application Response Times
  • 6
    Application Availability Monitoring and Alerting
  • 5
    JVM Performance Analyzer (Java)
  • 5
    Most Time Consuming Transactions
  • 4
    Easy to use
  • 4
    Browser Transaction Tracing
  • 4
    Top Database Operations
  • 3
    Pagoda Box integration
  • 3
    Custom Dashboards
  • 3
    Weekly Performance Email
  • 3
    Application Map
  • 2
    Background Jobs Transaction Analysis
  • 2
    App Speed Index
  • 2
    Easy visibility
  • 2
    Easy to setup
  • 1
    Free
  • 1
    Rails integration
  • 1
    Super Expensive
  • 1
    Metric Data Resolution
  • 1
    Metric Data Retention
  • 1
    Team Collaboration Tools
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Real User Monitoring Overview
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Incident Detection and Alerting
  • 0
    Exceptions
CONS OF NEW RELIC
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking

related New Relic posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 7 upvotes · 1M views

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

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Sebastian Gębski

Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

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Dynatrace logo

Dynatrace

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Monitor, optimize, and scale every app, in any cloud
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PROS OF DYNATRACE
  • 3
    Real User Monitoring
  • 3
    Automated RCA
  • 2
    Extensible via SDK
  • 2
    Out-of-the-box distributed transaction tracing
  • 2
    Built on massive industry expertise (since 2005)
  • 1
    Applications & Microservices
  • 1
    AI-powered platform
  • 1
    Application Security
  • 1
    Built on API-first design principles
  • 1
    Automatic instrumentathird generation full stack Agents
  • 1
    Analytics vMotion events detection Discovery Performanc
  • 1
    Automation
  • 1
    Easy setup
  • 1
    Accelerate software delivery
  • 1
    Business Analytics
  • 1
    Digital Experience
  • 1
    Infrastructure Monitoring
CONS OF DYNATRACE
  • 0
    Application Security
  • 0
    Real User Monitoring
  • 0
    Infrastructure Monitoring
  • 0
    Applications & Microservices
  • 0
    AI-powered platform

related Dynatrace posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 7 upvotes · 1M views

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

See more

Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

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AppDynamics logo

AppDynamics

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Application management for the cloud generation
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+ 1
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PROS OF APPDYNAMICS
  • 20
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Comprehensive Coverage of Programming Languages
  • 6
    Easy Setup
  • 4
    Deep DB Troubleshooting
  • 2
    Excellent Customer Support
CONS OF APPDYNAMICS
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services

related AppDynamics posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 7 upvotes · 1M views

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

See more

Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

See more
Jaeger logo

Jaeger

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Distributed tracing system released as open source by Uber
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PROS OF JAEGER
  • 4
    Feature Rich UI
  • 4
    Easy to install
  • 4
    Open Source
  • 3
    CNCF Project
CONS OF JAEGER
    Be the first to leave a con

    related Jaeger posts

    Splunk logo

    Splunk

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    Search, monitor, analyze and visualize machine data
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    PROS OF SPLUNK
    • 2
      Ability to style search results into reports
    • 2
      Alert system based on custom query results
    • 2
      API for searching logs, running reports
    • 2
      Query engine supports joining, aggregation, stats, etc
    • 1
      Query any log as key-value pairs
    • 1
      Splunk language supports string, date manip, math, etc
    • 1
      Granular scheduling and time window support
    • 1
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Rich GUI for searching live logs
    CONS OF SPLUNK
    • 1
      Splunk query language rich so lots to learn

    related Splunk posts

    Shared insights
    on
    KibanaKibanaSplunkSplunkGrafanaGrafana

    I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

    See more
    Shared insights
    on
    SplunkSplunkElasticsearchElasticsearch

    We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.

    See more
    ELK logo

    ELK

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    The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
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    PROS OF ELK
    • 13
      Open source
    • 3
      Can run locally
    • 3
      Good for startups with monetary limitations
    • 1
      External Network Goes Down You Aren't Without Logging
    • 1
      Easy to setup
    • 0
      Json log supprt
    • 0
      Live logging
    CONS OF ELK
    • 4
      Elastic Search is a resource hog
    • 3
      Logstash configuration is a pain
    • 1
      Bad for startups with personal limitations

    related ELK posts

    Wallace Alves
    Cyber Security Analyst · | 2 upvotes · 740.8K views

    Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

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    Datadog logo

    Datadog

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    Unify logs, metrics, and traces from across your distributed infrastructure.
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    PROS OF DATADOG
    • 136
      Monitoring for many apps (databases, web servers, etc)
    • 106
      Easy setup
    • 86
      Powerful ui
    • 82
      Powerful integrations
    • 69
      Great value
    • 53
      Great visualization
    • 45
      Events + metrics = clarity
    • 40
      Custom metrics
    • 40
      Notifications
    • 38
      Flexibility
    • 18
      Free & paid plans
    • 15
      Great customer support
    • 14
      Makes my life easier
    • 9
      Adapts automatically as i scale up
    • 8
      Easy setup and plugins
    • 7
      Super easy and powerful
    • 6
      AWS support
    • 6
      In-context collaboration
    • 5
      Rich in features
    • 4
      Docker support
    • 4
      Cost
    • 3
      Automation tools
    • 3
      Source control and bug tracking
    • 3
      Simple, powerful, great for infra
    • 3
      Cute logo
    • 3
      Expensive
    • 3
      Easy to Analyze
    • 3
      Full visibility of applications
    • 3
      Monitor almost everything
    • 3
      Best than others
    • 2
      Good for Startups
    • 2
      Free setup
    • 2
      Best in the field
    • 1
      APM
    CONS OF DATADOG
    • 19
      Expensive
    • 4
      No errors exception tracking
    • 2
      External Network Goes Down You Wont Be Logging
    • 1
      Complicated

    related Datadog posts

    Robert Zuber

    Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

    We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

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    We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

    We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

    We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

    You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

    See more
    Azure Application Insights logo

    Azure Application Insights

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    It is an extensible Application Performance Management (APM) service for web developers
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    PROS OF AZURE APPLICATION INSIGHTS
    • 5
      Focus in detect performance anomalies and issues
    • 3
      Integrated with Azure
    • 1
      Live Metrics
    • 1
      User flow
    • 1
      Availability tests (Heart Beat check)
    CONS OF AZURE APPLICATION INSIGHTS
    • 1
      Difficult to surface information
    • 1
      Custom instrumentation via code only
    • 1
      UI is clunky and gets in the way

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