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

AppDynamics vs Fluentd

OverviewComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

AppDynamics vs Fluentd: What are the differences?

Introduction

AppDynamics and Fluentd are two popular tools used in the field of software development and monitoring. While they both serve a similar purpose, there are significant differences between the two.

  1. Scalability: AppDynamics is known for its scalability, allowing it to handle large and complex systems with ease. It can handle high volumes of data and monitoring tasks without compromising performance. On the other hand, Fluentd is also scalable but may face limitations when dealing with extremely high data throughput or complex architectures.

  2. Data Collection: AppDynamics collects data directly from the application and infrastructure layer, providing a detailed view of the system's performance. It captures metrics, traces, and logs to help diagnose issues, allowing for real-time and end-to-end visibility. In contrast, Fluentd is primarily focused on log data collection and aggregation, making it suitable for analyzing and monitoring logs from various sources but lacking in-depth visibility into application performance.

  3. Ease of Use: AppDynamics offers a user-friendly interface with intuitive dashboards and graphical visualizations, making it easy for non-technical users to navigate and gain insights quickly. It provides preconfigured monitoring templates and automated detection of performance anomalies. Fluentd, on the other hand, requires more technical expertise to set up and configure. It provides flexibility and customization options but may have a steeper learning curve for new users.

  4. Integration: AppDynamics offers comprehensive integrations with a wide range of technologies and platforms, including application servers, databases, cloud services, and more. It can seamlessly integrate with existing tools and frameworks, making it easier to incorporate into existing workflows. Fluentd also provides various plugins for integrating with different data sources and outputs, but it may require more manual configuration and customization for specific integrations.

  5. Deployment Model: AppDynamics can be deployed both on-premises and in the cloud, allowing organizations to choose the deployment option that best suits their needs. It offers flexibility and control over the infrastructure setup. In contrast, Fluentd is commonly deployed as part of a larger data pipeline or logging system and does not have a dedicated on-premises option. It is typically used in cloud-based environments or containerized applications.

  6. Pricing: AppDynamics follows a commercial pricing model and offers different tiers based on the organization's size and requirements. It provides enterprise-grade features and support but may require a higher financial investment. Fluentd, on the other hand, is an open-source tool and is available for free. While it offers customization and extensibility, organizations may need to invest resources in setting up and maintaining the infrastructure and plugins.

In summary, AppDynamics provides scalable and comprehensive monitoring with a focus on application performance, while Fluentd is a versatile log aggregation tool with customization options. AppDynamics offers an intuitive interface, extensive integrations, and a flexible deployment model but comes with a commercial cost. Fluentd, being open-source, is free but may require more technical expertise and lacks the depth of application performance monitoring provided by AppDynamics.

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Detailed Comparison

AppDynamics
AppDynamics
Fluentd
Fluentd

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

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

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
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
306
Stacks
630
Followers
629
Followers
688
Votes
68
Votes
39
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
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
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
No integrations available

What are some alternatives to AppDynamics, Fluentd?

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!

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

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.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

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