Alternatives to AppDynamics logo

Alternatives to AppDynamics

Datadog, New Relic, Nagios, Splunk, and ELK are the most popular alternatives and competitors to AppDynamics.
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What is AppDynamics and what are its top alternatives?

AppDynamics is a performance monitoring and management tool that provides real-time insights into application performance and user experience. Its key features include application performance monitoring, code-level visibility, end-user monitoring, business transaction monitoring, and analytics. However, some limitations of AppDynamics include the complexity of setting up and configuring the tool, high pricing for small businesses, and potential performance overhead.

  1. Dynatrace: Dynatrace is a full-stack monitoring tool that offers AI-powered observability, automatic discovery of services, and root cause analysis. Pros include automatic topology discovery and dependency mapping, while cons include high pricing for small businesses.
  2. New Relic: New Relic is a cloud-based observability platform that provides full-stack monitoring, synthetic monitoring, and real user monitoring. Pros include ease of use and a wide range of integrations, while cons include complex pricing structure.
  3. Datadog: Datadog is a monitoring and analytics platform that offers infrastructure monitoring, application performance monitoring, and log management. Pros include customizable dashboards and powerful analytics, while cons include limited support for on-premises environments.
  4. SolarWinds AppOptics: SolarWinds AppOptics is a SaaS-based application performance monitoring tool that provides detailed insights into application performance and infrastructure monitoring. Pros include unified infrastructure and application monitoring, while cons include potential learning curve for beginners.
  5. Splunk: Splunk is a data analytics tool that offers log monitoring, infrastructure monitoring, and application performance monitoring capabilities. Pros include powerful search and analysis capabilities, while cons include high pricing and complexity.
  6. Riverbed SteelCentral: Riverbed SteelCentral is a network performance monitoring and diagnostics solution that provides end-to-end visibility into network and application performance. Pros include deep packet inspection capabilities, while cons include limited support for cloud environments.
  7. Instana: Instana is an AI-powered application performance monitoring tool that provides automatic monitoring and analysis of microservices and containerized applications. Pros include automatic distributed tracing and continuous monitoring, while cons include limited support for legacy systems.
  8. Stackify Retrace: Stackify Retrace is an APM tool that offers code-level performance insights, error tracking, and log management. Pros include easy setup and integration, while cons include limited support for complex enterprise environments.
  9. Raygun: Raygun is an error and crash reporting tool that provides real-time insights into application errors and performance bottlenecks. Pros include easy integration and detailed error diagnostics, while cons include limited monitoring capabilities compared to full-stack APM tools.
  10. Opsview: Opsview is an IT infrastructure monitoring tool that offers network monitoring, server monitoring, and cloud monitoring capabilities. Pros include comprehensive monitoring and alerting features, while cons include complexity in configuring advanced monitoring settings.

Top Alternatives to AppDynamics

  • 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! ...

  • 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. ...

  • Nagios
    Nagios

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

  • 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. ...

  • 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. ...

  • 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. ...

  • Jaeger
    Jaeger

    Jaeger, a Distributed Tracing System

AppDynamics alternatives & related posts

Datadog logo

Datadog

9.4K
860
Unify logs, metrics, and traces from across your distributed infrastructure.
9.4K
860
PROS OF DATADOG
  • 139
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
  • 54
    Great visualization
  • 46
    Events + metrics = clarity
  • 41
    Notifications
  • 41
    Custom metrics
  • 39
    Flexibility
  • 19
    Free & paid plans
  • 16
    Great customer support
  • 15
    Makes my life easier
  • 10
    Adapts automatically as i scale up
  • 9
    Easy setup and plugins
  • 8
    Super easy and powerful
  • 7
    AWS support
  • 7
    In-context collaboration
  • 6
    Rich in features
  • 5
    Docker support
  • 4
    Cost
  • 4
    Full visibility of applications
  • 4
    Monitor almost everything
  • 4
    Cute logo
  • 4
    Automation tools
  • 4
    Source control and bug tracking
  • 4
    Simple, powerful, great for infra
  • 4
    Easy to Analyze
  • 4
    Best than others
  • 3
    Best in the field
  • 3
    Expensive
  • 3
    Good for Startups
  • 3
    Free setup
  • 2
    APM
CONS OF DATADOG
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated

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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.

See more
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.5M 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
New Relic logo

New Relic

20.8K
1.9K
New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
20.8K
1.9K
PROS OF NEW RELIC
  • 415
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 106
    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
  • 7
    Detailed reports
  • 6
    Performance of External Services
  • 6
    Error Analysis
  • 6
    Application Availability Monitoring and Alerting
  • 6
    Application Response Times
  • 5
    Most Time Consuming Transactions
  • 5
    JVM Performance Analyzer (Java)
  • 4
    Browser Transaction Tracing
  • 4
    Top Database Operations
  • 4
    Easy to use
  • 3
    Application Map
  • 3
    Weekly Performance Email
  • 3
    Pagoda Box integration
  • 3
    Custom Dashboards
  • 2
    Easy to setup
  • 2
    Background Jobs Transaction Analysis
  • 2
    App Speed Index
  • 1
    Super Expensive
  • 1
    Team Collaboration Tools
  • 1
    Metric Data Retention
  • 1
    Metric Data Resolution
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Real User Monitoring Overview
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Incident Detection and Alerting
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
  • 1
    Free
  • 0
    Proce
  • 0
    Price
  • 0
    Exceptions
  • 0
    Cost
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

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Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.5M 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
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New RelicNew RelicKibanaKibana

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Nagios logo

Nagios

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102
Complete monitoring and alerting for servers, switches, applications, and services
828
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PROS OF NAGIOS
  • 53
    It just works
  • 28
    The standard
  • 12
    Customizable
  • 8
    The Most flexible monitoring system
  • 1
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CONS OF NAGIOS
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    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 5M views

    Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

    By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

    To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

    https://eng.uber.com/m3/

    (GitHub : https://github.com/m3db/m3)

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    PrometheusPrometheusNagiosNagios

    I am new to DevOps and looking for training in DevOps. Some institutes are offering Nagios while some Prometheus in their syllabus. Please suggest which one is being used in the industry and which one should I learn.

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    Splunk logo

    Splunk

    614
    20
    Search, monitor, analyze and visualize machine data
    614
    20
    PROS OF SPLUNK
    • 3
      API for searching logs, running reports
    • 3
      Alert system based on custom query results
    • 2
      Splunk language supports string, date manip, math, etc
    • 2
      Dashboarding on any log contents
    • 2
      Custom log parsing as well as automatic parsing
    • 2
      Query engine supports joining, aggregation, stats, etc
    • 2
      Rich GUI for searching live logs
    • 2
      Ability to style search results into reports
    • 1
      Granular scheduling and time window support
    • 1
      Query any log as key-value pairs
    CONS OF SPLUNK
    • 1
      Splunk query language rich so lots to learn

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    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.

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    Shared insights
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    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.

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    ELK logo

    ELK

    862
    23
    The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
    862
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    PROS OF ELK
    • 14
      Open source
    • 4
      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
    • 5
      Elastic Search is a resource hog
    • 3
      Logstash configuration is a pain
    • 1
      Bad for startups with personal limitations

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    Grafana logo

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    17.9K
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    • 89
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    • 68
      Graphs are interactive
    • 57
      Free
    • 56
      Easy
    • 34
      Nicer than the Graphite web interface
    • 26
      Many integrations
    • 18
      Can build dashboards
    • 10
      Easy to specify time window
    • 10
      Can collaborate on dashboards
    • 9
      Dashboards contain number tiles
    • 5
      Open Source
    • 5
      Integration with InfluxDB
    • 5
      Click and drag to zoom in
    • 4
      Authentification and users management
    • 4
      Threshold limits in graphs
    • 3
      Alerts
    • 3
      It is open to cloud watch and many database
    • 3
      Simple and native support to Prometheus
    • 2
      Great community support
    • 2
      You can use this for development to check memcache
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      You can visualize real time data to put alerts
    • 0
      Grapsh as code
    • 0
      Plugin visualizationa
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    Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 5M views

    Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

    By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

    To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

    https://eng.uber.com/m3/

    (GitHub : https://github.com/m3db/m3)

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    Azure Application Insights logo

    Azure Application Insights

    321
    12
    It is an extensible Application Performance Management (APM) service for web developers
    321
    12
    PROS OF AZURE APPLICATION INSIGHTS
    • 6
      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
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    Jaeger logo

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    338
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    Distributed tracing system released as open source by Uber
    338
    25
    PROS OF JAEGER
    • 7
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    • 7
      Easy to install
    • 6
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    • 5
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