AppDynamics vs Prometheus

Overview

AppDynamics

Stacks305

Followers629

Votes68

Prometheus

Stacks4.8K

Followers3.8K

Votes239

GitHub Stars61.1K

Forks9.9K

AppDynamics vs Prometheus: What are the differences?

Key Differences Between AppDynamics and Prometheus

AppDynamics and Prometheus are both monitoring tools used in the field of application performance management (APM). However, there are some key differences between the two:

Data Collection: AppDynamics uses an agent-based approach to collect data, which means that the agent is installed on the target application's runtime environment. On the other hand, Prometheus uses a pull-based approach, where it periodically scrapes metrics from the applications it monitors.
Metrics Storage: AppDynamics stores metrics data in a centralized database, which allows for easy querying and analysis. Prometheus, on the other hand, uses a time series database that is optimized for high scalability and reliability.
Alerting: AppDynamics provides a built-in alerting mechanism that can be configured to send notifications when certain conditions are met. Prometheus also has an alerting feature, but it requires the use of an external component called the Alertmanager to send alerts.
Integration: AppDynamics supports a wide range of technologies and platforms out-of-the-box, including Java, .NET, and cloud-based services like AWS and Azure. Prometheus is more focused on containerized environments and has better integration with cloud-native technologies like Kubernetes.
Ease of Use: AppDynamics is known for its user-friendly interface and provides comprehensive dashboards and visualizations. Prometheus, on the other hand, has a more lightweight and minimalistic design, which requires some technical expertise to set up and configure.
Pricing Model: AppDynamics follows a subscription-based pricing model, which can be expensive for small or medium-sized businesses. Prometheus, on the other hand, is an open-source tool that is free to use and offers more flexibility in terms of scalability and customization.

In summary, AppDynamics and Prometheus differ in their data collection methods, metrics storage, alerting mechanisms, integration capabilities, ease of use, and pricing models.

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Advice on AppDynamics, Prometheus

Raja Subramaniam

Aug 27, 2019

Needs adviceon

Prometheus

Kubernetes

Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k

Comments

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

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

Jun 20, 2020

Needs adviceon

Site24x7

AppDynamics

Dynatrace

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	Prometheus
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.	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.
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	Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars -	GitHub Stars 61.1K
GitHub Forks -	GitHub Forks 9.9K
Stacks 305	Stacks 4.8K
Followers 629	Followers 3.8K
Votes 68	Votes 239
Pros & Cons
Pros 21 Deep code visibility 13 Powerful 8 Real-Time Visibility 7 Great visualization 6 Easy Setup Cons 5 Expensive 2 Poor to non-existent integration with aws services	Pros 47 Powerful easy to use monitoring 38 Flexible query language 32 Dimensional data model 27 Alerts 23 Active and responsive community Cons 12 Just for metrics 6 Needs monitoring to access metrics endpoints 6 Bad UI 4 Not easy to configure and use 3 Supports only active agents
Integrations
Rackspace Cloud Servers Microsoft Azure Amazon EC2 RightScale CloudBees HP Cloud Compute Boundary PagerDuty	Grafana

What are some alternatives to AppDynamics, Prometheus?

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 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 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 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.

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

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

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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AppDynamics vs Prometheus: What are the differences?

Key Differences Between AppDynamics and Prometheus

AppDynamics and Prometheus are both monitoring tools used in the field of application performance management (APM). However, there are some key differences between the two:

Data Collection: AppDynamics uses an agent-based approach to collect data, which means that the agent is installed on the target application's runtime environment. On the other hand, Prometheus uses a pull-based approach, where it periodically scrapes metrics from the applications it monitors.
Metrics Storage: AppDynamics stores metrics data in a centralized database, which allows for easy querying and analysis. Prometheus, on the other hand, uses a time series database that is optimized for high scalability and reliability.
Alerting: AppDynamics provides a built-in alerting mechanism that can be configured to send notifications when certain conditions are met. Prometheus also has an alerting feature, but it requires the use of an external component called the Alertmanager to send alerts.
Integration: AppDynamics supports a wide range of technologies and platforms out-of-the-box, including Java, .NET, and cloud-based services like AWS and Azure. Prometheus is more focused on containerized environments and has better integration with cloud-native technologies like Kubernetes.
Ease of Use: AppDynamics is known for its user-friendly interface and provides comprehensive dashboards and visualizations. Prometheus, on the other hand, has a more lightweight and minimalistic design, which requires some technical expertise to set up and configure.
Pricing Model: AppDynamics follows a subscription-based pricing model, which can be expensive for small or medium-sized businesses. Prometheus, on the other hand, is an open-source tool that is free to use and offers more flexibility in terms of scalability and customization.

In summary, AppDynamics and Prometheus differ in their data collection methods, metrics storage, alerting mechanisms, integration capabilities, ease of use, and pricing models.