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 develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
AppDynamics is a tool in the Performance Monitoring category of a tech stack.

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

6.2K
5.3K
792
Unify logs, metrics, and traces from across your distributed infrastructure.
6.2K
5.3K
+ 1
792
PROS OF DATADOG
  • 133
    Monitoring for many apps (databases, web servers, etc)
  • 104
    Easy setup
  • 84
    Powerful ui
  • 81
    Powerful integrations
  • 68
    Great value
  • 52
    Great visualization
  • 44
    Events + metrics = clarity
  • 40
    Custom metrics
  • 39
    Notifications
  • 37
    Flexibility
  • 17
    Free & paid plans
  • 14
    Great customer support
  • 13
    Makes my life easier
  • 8
    Adapts automatically as i scale up
  • 8
    Easy setup and plugins
  • 6
    Super easy and powerful
  • 5
    In-context collaboration
  • 5
    AWS support
  • 4
    Rich in features
  • 3
    Docker support
  • 3
    Cost
  • 3
    Best than others
  • 2
    Source control and bug tracking
  • 2
    Easy to Analyze
  • 2
    Expensive
  • 2
    Cute logo
  • 2
    Good for Startups
  • 2
    Free setup
  • 2
    Monitor almost everything
  • 2
    Automation tools
  • 2
    Simple, powerful, great for infra
  • 2
    Full visibility of applications
  • 1
    Best in the field
CONS OF DATADOG
  • 16
    Expensive
  • 3
    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.

See more

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
New Relic logo

New Relic

18.6K
6.8K
1.9K
New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
18.6K
6.8K
+ 1
1.9K
PROS OF NEW RELIC
  • 414
    Easy setup
  • 344
    Really powerful
  • 244
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 107
    Free tier
  • 81
    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
  • 12
    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
    Detailed reports
  • 6
    Performance of External Services
  • 6
    Error Analysis
  • 6
    Application Availability Monitoring and Alerting
  • 6
    Application Response Times
  • 5
    JVM Performance Analyzer (Java)
  • 5
    Most Time Consuming Transactions
  • 4
    Top Database Operations
  • 4
    Easy to use
  • 4
    Browser Transaction Tracing
  • 3
    Application Map
  • 3
    Pagoda Box integration
  • 3
    Custom Dashboards
  • 3
    Weekly Performance Email
  • 2
    Easy visibility
  • 2
    App Speed Index
  • 2
    Easy to setup
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Incident Detection and Alerting
  • 1
    Real User Monitoring Overview
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Metric Data Resolution
  • 1
    Metric Data Retention
  • 1
    Team Collaboration Tools
  • 1
    Super Expensive
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Background Jobs Transaction Analysis
  • 1
    Free
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
  • 0
    Exceptions
  • 0
    Ddd
CONS OF NEW RELIC
  • 19
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Visualizations aren't very helpful
  • 7
    Expensive
  • 5
    Hard to understand why things in your app are breaking

related New Relic posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 5 upvotes · 663K 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
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).

See more
Nagios logo

Nagios

776
906
102
Complete monitoring and alerting for servers, switches, applications, and services
776
906
+ 1
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PROS OF NAGIOS
  • 53
    It just works
  • 28
    The standard
  • 12
    Customizable
  • 8
    The Most flexible monitoring system
  • 1
    Huge stack of free checks/plugins to choose from
CONS OF NAGIOS
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    related Nagios posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M 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)

    See more
    Splunk logo

    Splunk

    461
    733
    11
    Search, monitor, analyze and visualize machine data
    461
    733
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    PROS OF SPLUNK
    • 2
      API for searching logs, running reports
    • 1
      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
      Alert system based on custom query results
    • 1
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Ability to style search results into reports
    • 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
    ELK logo

    ELK

    682
    674
    20
    The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
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    674
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    20
    PROS OF ELK
    • 13
      Open source
    • 3
      Good for startups with monetary limitations
    • 2
      Can run locally
    • 1
      Easy to setup
    • 1
      External Network Goes Down You Aren't Without Logging
    • 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 · | 1 upvote · 586.2K views

    Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

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    Grafana logo

    Grafana

    11.1K
    8.6K
    398
    Open source Graphite & InfluxDB Dashboard and Graph Editor
    11.1K
    8.6K
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    398
    PROS OF GRAFANA
    • 84
      Beautiful
    • 67
      Graphs are interactive
    • 56
      Free
    • 55
      Easy
    • 33
      Nicer than the Graphite web interface
    • 24
      Many integrations
    • 16
      Can build dashboards
    • 10
      Easy to specify time window
    • 9
      Dashboards contain number tiles
    • 8
      Can collaborate on dashboards
    • 5
      Integration with InfluxDB
    • 5
      Click and drag to zoom in
    • 5
      Open Source
    • 4
      Authentification and users management
    • 4
      Threshold limits in graphs
    • 3
      It is open to cloud watch and many database
    • 2
      You can visualize real time data to put alerts
    • 2
      Great community support
    • 2
      Alerts
    • 2
      Simple and native support to Prometheus
    • 2
      You can use this for development to check memcache
    • 0
      Plugin visualizationa
    • 0
      Grapsh as code
    CONS OF GRAFANA
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      related Grafana posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M 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)

      See more
      Matt Menzenski
      Senior Software Engineering Manager at PayIt · | 13 upvotes · 85.8K views

      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.

      See more
      Azure Application Insights logo

      Azure Application Insights

      259
      205
      10
      It is an extensible Application Performance Management (APM) service for web developers
      259
      205
      + 1
      10
      PROS OF AZURE APPLICATION INSIGHTS
      • 4
        Focus in detect performance anomalies and issues
      • 3
        Integrated with Azure
      • 1
        User flow
      • 1
        Live Metrics
      • 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

      related Azure Application Insights posts

      Jaeger logo

      Jaeger

      247
      341
      8
      Distributed tracing system released as open source by Uber
      247
      341
      + 1
      8
      PROS OF JAEGER
      • 3
        Open Source
      • 2
        Easy to install
      • 2
        CNCF Project
      • 1
        Feature Rich UI
      CONS OF JAEGER
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        related Jaeger posts