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

    New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code. ...

  • 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鈥憇ide 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

5.1K
4.3K
747
Unify logs, metrics, and traces from across your distributed infrastructure.
5.1K
4.3K
+ 1
747
PROS OF DATADOG
  • 130
    Monitoring for many apps (databases, web servers, etc)
  • 103
    Easy setup
  • 83
    Powerful ui
  • 80
    Powerful integrations
  • 66
    Great value
  • 50
    Great visualization
  • 41
    Events + metrics = clarity
  • 39
    Custom metrics
  • 38
    Notifications
  • 36
    Flexibility
  • 16
    Free & paid plans
  • 13
    Great customer support
  • 12
    Makes my life easier
  • 7
    Easy setup and plugins
  • 6
    Adapts automatically as i scale up
  • 5
    Super easy and powerful
  • 4
    In-context collaboration
  • 4
    AWS support
  • 3
    Rich in features
  • 2
    Best than others
  • 2
    Cost
  • 2
    Docker support
  • 1
    Free setup
  • 1
    Easy to Analyze
  • 1
    Monitor almost everything
  • 1
    Automation tools
  • 1
    Source control and bug tracking
  • 1
    Full visibility of applications
  • 1
    Expensive
  • 1
    Cute logo
  • 1
    Simple, powerful, great for infra
CONS OF DATADOG
  • 12
    Expensive
  • 2
    No errors exception tracking
  • 1
    Complicated

related Datadog posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e 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

17.6K
5.9K
1.9K
SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
17.6K
5.9K
+ 1
1.9K
PROS OF NEW RELIC
  • 416
    Easy setup
  • 345
    Really powerful
  • 244
    Awesome visualization
  • 194
    Ease of use
  • 152
    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
  • 16
    Heroku Add-on
  • 16
    Error Detection and Alerting
  • 12
    Multiple language support
  • 11
    Server Resources Monitoring
  • 11
    SQL Analysis
  • 9
    Transaction Tracing
  • 8
    Azure Add-on
  • 8
    Apdex Scores
  • 7
    Analysis of CPU, Disk, Memory, and Network
  • 6
    Application Response Times
  • 6
    Detailed reports
  • 6
    Performance of External Services
  • 6
    Error Analysis
  • 6
    Application Availability Monitoring and Alerting
  • 5
    Most Time Consuming Transactions
  • 5
    JVM Performance Analyzer (Java)
  • 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
    Easy to setup
  • 2
    App Speed Index
  • 2
    Easy visibility
  • 1
    Metric Data Retention
  • 1
    Team Collaboration Tools
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Real User Monitoring Analysis and Breakdown
  • 1
    Time Comparisons
  • 1
    Access to Performance Data API
  • 1
    Metric Data Resolution
  • 1
    Background Jobs Transaction Analysis
  • 1
    Incident Detection and Alerting
  • 1
    Real User Monitoring Overview
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Rails integration
  • 1
    Free
  • 1
    Super Expensive
  • 0
    Exceptions
CONS OF NEW RELIC
  • 18
    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 | 5 upvotes 路 428.6K 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 G臋bski

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

749
819
102
Complete monitoring and alerting for servers, switches, applications, and services
749
819
+ 1
102
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 | 13 upvotes 路 2.7M 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鈥檚 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鈥檚 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

    386
    580
    10
    Search, monitor, analyze and visualize machine data
    386
    580
    + 1
    10
    PROS OF SPLUNK
    • 1
      Ability to style search results into reports
    • 1
      API for searching logs, running reports
    • 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
      Query engine supports joining, aggregation, stats, etc
    • 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
    ELK logo

    ELK

    564
    535
    8
    The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
    564
    535
    + 1
    8
    PROS OF ELK
    • 8
      Open source
    CONS OF ELK
    • 3
      Elastic Search is a resource hog
    • 3
      Logstash configuration is a pain

    related ELK posts

    Wallace Alves
    Cyber Security Analyst | 1 upvote 路 523.9K views

    Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

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    Grafana logo

    Grafana

    8.6K
    6.5K
    369
    Open source Graphite & InfluxDB Dashboard and Graph Editor
    8.6K
    6.5K
    + 1
    369
    PROS OF GRAFANA
    • 79
      Beautiful
    • 64
      Graphs are interactive
    • 52
      Easy
    • 50
      Free
    • 33
      Nicer than the Graphite web interface
    • 23
      Many integrations
    • 14
      Can build dashboards
    • 9
      Easy to specify time window
    • 8
      Can collaborate on dashboards
    • 8
      Dashboards contain number tiles
    • 5
      Open Source
    • 4
      Integration with InfluxDB
    • 4
      Authentification and users management
    • 4
      Click and drag to zoom in
    • 3
      Threshold limits in graphs
    • 2
      Alerts
    • 2
      Great community support
    • 2
      It is open to cloud watch and many database
    • 1
      You can visualize real time data to put alerts
    • 1
      You can use this for development to check memcache
    • 1
      Simple and native support to Prometheus
    • 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 | 13 upvotes 路 2.7M 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鈥檚 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鈥檚 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
      Shared insights
      on
      GrafanaGrafanaKibanaKibana
      at

      For our Predictive Analytics platform, we have used both Grafana and Kibana

      Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

      For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

      • Creating and organizing visualization panels
      • Templating the panels on dashboards for repetetive tasks
      • Realtime monitoring, filtering of charts based on conditions and variables
      • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
      See more
      Azure Application Insights logo

      Azure Application Insights

      214
      171
      10
      It is an extensible Application Performance Management (APM) service for web developers
      214
      171
      + 1
      10
      PROS OF AZURE APPLICATION INSIGHTS
      • 4
        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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        related Azure Application Insights posts

        Jaeger logo

        Jaeger

        182
        256
        7
        Distributed tracing system released as open source by Uber
        182
        256
        + 1
        7
        PROS OF JAEGER
        • 3
          Open Source
        • 2
          CNCF Project
        • 1
          Feature Rich UI
        • 1
          Easy to install
        CONS OF JAEGER
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          related Jaeger posts