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

AppDynamics vs Kibana

OverviewDecisionsComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

AppDynamics vs Kibana: What are the differences?

Introduction

AppDynamics and Kibana are two popular tools used in the field of IT monitoring and analytics. While both tools are designed to provide insights into software performance, there are some key differences between them. In this article, we will explore six key differences between AppDynamics and Kibana.

  1. Data Collection and Visualization: AppDynamics is a comprehensive Application Performance Monitoring (APM) tool that collects data directly from the application layer. It provides detailed metrics, traces, and code-level visibility. On the other hand, Kibana is a data visualization tool that relies on data collected by Elasticsearch. It supports various data sources and provides flexible data visualization options.

  2. Scope: AppDynamics primarily focuses on monitoring and performance management of individual applications or services. It provides detailed insights into the behavior of these applications and identifies performance bottlenecks. On the contrary, Kibana has a broader scope and can be used to analyze various types of data, not just limited to application performance. It can be used for log analysis, security analytics, and business intelligence, among other use cases.

  3. Real-time Monitoring: AppDynamics excels in providing real-time monitoring capabilities. It collects data in near real-time, allowing users to monitor the performance of their applications as it happens. Kibana, on the other hand, relies on data indexing and search capabilities provided by Elasticsearch. While it can provide near real-time insights, it may not be as real-time as AppDynamics.

  4. Alerting and Troubleshooting: AppDynamics offers robust alerting features that allow users to set up custom thresholds and receive notifications when performance degradations occur. It also provides powerful troubleshooting capabilities, allowing users to drill down to the root cause of performance issues. Kibana, in comparison, does not have built-in alerting functionality. It relies on integrations with other tools or custom solutions for alerting. Troubleshooting in Kibana is primarily done through data visualization and analysis.

  5. Ease of Use: AppDynamics provides a user-friendly interface with intuitive dashboards, making it easier for users to navigate and understand the monitoring data. It offers pre-built dashboards and reports for quick insights. Kibana, being a part of the Elastic Stack, has a steeper learning curve and requires some technical expertise to set up and configure. It provides a high level of customization but may require more effort to get started.

  6. Pricing Model: AppDynamics follows a commercial pricing model based on the number of monitored components or application instances. It offers different tiers with varying feature sets and pricing. Kibana, on the other hand, is an open-source tool provided by Elastic. While the core Kibana functionality is free, additional features and commercial support may require a paid subscription to the Elastic Stack.

In summary, AppDynamics is a specialized APM tool focused on real-time monitoring, troubleshooting, and performance management of individual applications. On the other hand, Kibana is a versatile data visualization tool with a broader scope, supporting various data sources and use cases. Kibana may require more technical expertise and customization effort compared to AppDynamics.

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Advice on AppDynamics, Kibana

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
Comments
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
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments

Detailed Comparison

AppDynamics
AppDynamics
Kibana
Kibana

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

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.

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
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars
-
GitHub Stars
20.8K
GitHub Forks
-
GitHub Forks
8.5K
Stacks
306
Stacks
20.6K
Followers
629
Followers
16.4K
Votes
68
Votes
262
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
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Elasticsearch is huge
  • 4
    Works on top of elastic only
  • 3
    Hardweight UI
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
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to AppDynamics, Kibana?

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.

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.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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