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

AppDynamics vs OverOps

OverviewDecisionsComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
OverOps
OverOps
Stacks25
Followers43
Votes27

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.

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Advice on AppDynamics, OverOps

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

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
Radha

Jun 20, 2020

Needs adviceonSite24x7Site24x7AppDynamicsAppDynamicsDynatraceDynatrace

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
AppDynamics
OverOps
OverOps

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

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.

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
Deep code visibility;Real-Time Visibility;Jenkins Quality Gates;Trends;True Root Cause;Code Quality Gates;Production Monitoring;Error Resolution
Statistics
Stacks
306
Stacks
25
Followers
629
Followers
43
Votes
68
Votes
27
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
  • 8
    In-depth error analysis with variable values in product
  • 5
    All the info you need to solve bugs without logs
  • 4
    Jira & Github integration
  • 4
    OverOps reveals the unknown
  • 3
    Scala support
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
Kubernetes
Kubernetes
New Relic
New Relic
Slack
Slack
Grafana
Grafana
Cloud Foundry
Cloud Foundry
Jenkins
Jenkins
PagerDuty
PagerDuty
TeamCity
TeamCity
Jira
Jira
ELK
ELK

What are some alternatives to AppDynamics, OverOps?

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.

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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!

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

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.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

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.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

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