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AppDynamics

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Logstash

11.5K
8.7K
+ 1
103
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AppDynamics vs Logstash: What are the differences?

What is AppDynamics? Application management for the cloud generation. AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

What is Logstash? Collect, Parse, & Enrich Data. 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.

AppDynamics can be classified as a tool in the "Performance Monitoring" category, while Logstash is grouped under "Log Management".

Some of the features offered by AppDynamics are:

  • End User Monitoring
  • Real-Time Business Transaction Monitoring
  • Visualize & Manage your Entire Application

On the other hand, Logstash provides the following key features:

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

"Deep code visibility" is the primary reason why developers consider AppDynamics over the competitors, whereas "Free" was stated as the key factor in picking Logstash.

Logstash is an open source tool with 10.3K GitHub stars and 2.76K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

Airbnb, Bitbucket, and Conceptboard are some of the popular companies that use Logstash, whereas AppDynamics is used by Intuit, AppDynamics, and Performance Assessment Network (PAN). Logstash has a broader approval, being mentioned in 551 company stacks & 270 developers stacks; compared to AppDynamics, which is listed in 10 company stacks and 11 developer stacks.

Advice on AppDynamics and Logstash
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.6M views
Needs advice
on
AppDynamicsAppDynamicsDatadogDatadog
and
DynatraceDynatrace

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!

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Needs advice
on
AppDynamicsAppDynamicsDynatraceDynatrace
and
Site24x7Site24x7

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?

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Replies (1)
Lucas Rincon
Recommends
on
InstanaInstana

what are the most important things you are looking for the tools to do? each has their strong points... are you looking to monitor new tech like containers, k8s, and microservices?

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Pros of AppDynamics
Pros of Logstash
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Easy Setup
  • 6
    Comprehensive Coverage of Programming Languages
  • 4
    Deep DB Troubleshooting
  • 3
    Excellent Customer Support
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented

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Cons of AppDynamics
Cons of Logstash
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use

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- No public GitHub repository available -

What is AppDynamics?

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

What is 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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use AppDynamics?
What companies use Logstash?
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What tools integrate with AppDynamics?
What tools integrate with Logstash?

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What are some alternatives to AppDynamics and Logstash?
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
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.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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‑side 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.
See all alternatives