AppDynamics vs LogRocket

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AppDynamics

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+ 1
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LogRocket

240
278
+ 1
137
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Advice on AppDynamics and LogRocket
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M 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 LogRocket
  • 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
  • 21
    See a video of user using your website
  • 20
    See full user sessions
  • 18
    Detect user frustration
  • 18
    Console, network, and error logging
  • 18
    See why users ask for support
  • 14
    Intercom Integration
  • 12
    GitHub Integration
  • 12
    Fantastic Customer Support
  • 2
    Easy setup
  • 1
    Developer oriented
  • 1
    Redux Integration
  • 0
    Redux Integration

Sign up to add or upvote prosMake informed product decisions

Cons of AppDynamics
Cons of LogRocket
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
    Be the first to leave a con

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    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 LogRocket?

    LogRocket combines session replay, performance monitoring, and product analytics – empowering software teams to create the ideal product experience.

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

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    Blog Posts

    JavaScriptGitHubReact+12
    5
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    Oct 11 2019 at 2:36PM

    LogRocket

    JavaScriptReactAngularJS+8
    5
    1961
    What are some alternatives to AppDynamics and LogRocket?
    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