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AppDynamics

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OverOps

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27
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AppDynamics vs OverOps: What are the differences?

Introduction

When comparing AppDynamics and OverOps, it is essential to understand the key differences between these two monitoring tools to determine which one best suits your needs.

  1. Technology Focus: AppDynamics primarily focuses on application performance monitoring with features like code-level visibility, performance metrics, and real-time anomaly detection. On the other hand, OverOps specializes in code quality and reliability by providing insights into the quality of code, highlighting issues like errors, exceptions, and bugs in production environments.

  2. Root Cause Analysis: AppDynamics offers root cause analysis by tracking application performance metrics and generating alerts based on predefined thresholds. In contrast, OverOps excels in root cause analysis by pinpointing the exact line of code responsible for errors or exceptions, making it easier for developers to fix issues quickly.

  3. Deployment Model: AppDynamics is mainly a cloud-based solution, offering both SaaS and on-premises options for monitoring applications. OverOps, on the other hand, is typically deployed on-premises, providing a comprehensive view of code quality within the organization's infrastructure.

  4. Integration Capabilities: AppDynamics offers integrations with various tools, such as service desk systems, CI/CD pipelines, and cloud platforms, to streamline the monitoring and troubleshooting processes. OverOps integrates seamlessly with popular software development tools like Jira and Git, enabling developers to prioritize and resolve code quality issues efficiently.

  5. Target Users: AppDynamics is designed for IT operations teams and DevOps professionals who need to monitor application performance and ensure reliable service delivery. OverOps caters more to developers and quality assurance teams looking to improve code quality and prevent errors from impacting end-users.

  6. Scalability: AppDynamics is well-suited for large enterprises and complex IT environments due to its scalability, which allows for monitoring a vast number of applications and services. OverOps, on the other hand, is particularly beneficial for organizations focused on maintaining code quality and reliability, regardless of the scale of their infrastructure.

In Summary, a critical distinction between AppDynamics and OverOps lies in their technology focus, root cause analysis capabilities, deployment models, integration options, target user base, and scalability to meet diverse monitoring and quality assurance needs.

Advice on AppDynamics and OverOps
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 OverOps
  • 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
  • 8
    In-depth error analysis with variable values in product
  • 5
    All the info you need to solve bugs without logs
  • 4
    OverOps reveals the unknown
  • 4
    Jira & Github integration
  • 3
    Scala support
  • 3
    A lot of context added to otherwise plain information

Sign up to add or upvote prosMake informed product decisions

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

    Sign up to add or upvote consMake informed product decisions

    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 OverOps?

    OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

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

    What companies use AppDynamics?
    What companies use OverOps?
      No companies found
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      What tools integrate with AppDynamics?
      What tools integrate with OverOps?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to AppDynamics and OverOps?
      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