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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AppDynamics vs StatsD

AppDynamics vs StatsD

OverviewDecisionsComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
StatsD
StatsD
Stacks373
Followers293
Votes31

AppDynamics vs StatsD: What are the differences?

  1. Data Collection: AppDynamics collects data through the use of agents embedded within the application servers, providing detailed insights into application performance metrics, user experience, and business transactions. In contrast, StatsD is a lightweight network daemon that collects and aggregates custom application metrics, allowing for more flexibility in the types of data that can be monitored.

  2. Monitoring Approach: AppDynamics offers end-to-end monitoring of applications, servers, and databases, providing a comprehensive view of the entire IT environment. On the other hand, StatsD focuses primarily on monitoring custom application metrics and does not offer the same level of depth and breadth as AppDynamics in terms of infrastructure monitoring.

  3. Alerting Capabilities: AppDynamics includes robust alerting capabilities, allowing users to set up customizable alerts based on predefined thresholds for different metrics. In comparison, StatsD does not have built-in alerting features and often requires integration with additional tools or services to set up monitoring alerts.

  4. Scalability: AppDynamics is designed to scale with enterprise-level applications, offering support for large-scale deployments and complex IT environments. StatsD, on the other hand, may struggle to scale effectively in high-traffic or highly distributed application environments due to its lightweight design.

  5. Granularity of Data: AppDynamics provides granular visibility into individual transactions, method calls, and database queries, enabling in-depth performance analysis and troubleshooting. In contrast, StatsD typically aggregates metrics at a higher level, offering a broader overview of application performance but with less detailed information.

  6. Integration Capabilities: AppDynamics offers out-of-the-box integrations with a wide range of third-party tools and services, facilitating seamless integration into existing IT ecosystems. StatsD, while extensible through plugins, may require more manual configuration and maintenance to integrate with other monitoring or analytics platforms.

In Summary, AppDynamics excels in providing detailed end-to-end monitoring and alerting capabilities for complex enterprise applications, while StatsD offers lightweight and flexible data collection for custom metrics monitoring with less scalability and integration options.

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Advice on AppDynamics, StatsD

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

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!

1.59M views1.59M
Comments
Radha
Radha

Jun 20, 2020

Needs adviceonSite24x7Site24x7AppDynamicsAppDynamicsDynatraceDynatrace

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?

582k views582k
Comments

Detailed Comparison

AppDynamics
AppDynamics
StatsD
StatsD

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

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services
Statistics
Stacks
306
Stacks
373
Followers
629
Followers
293
Votes
68
Votes
31
Pros & Cons
Pros
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Comprehensive Coverage of Programming Languages
Cons
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
Pros
  • 9
    Open source
  • 7
    Single responsibility
  • 5
    Efficient wire format
  • 3
    Handles aggregation
  • 3
    Loads of integrations
Cons
  • 1
    No authentication; cannot be used over Internet
Integrations
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
RightScale
RightScale
CloudBees
CloudBees
HP Cloud Compute
HP Cloud Compute
Boundary
Boundary
PagerDuty
PagerDuty
Node.js
Node.js
Docker
Docker
Graphite
Graphite

What are some alternatives to AppDynamics, StatsD?

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!

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.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios

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

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.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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