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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Azure Application Insights vs JavaMelody

Azure Application Insights vs JavaMelody

OverviewComparisonAlternatives

Overview

Azure Application Insights
Azure Application Insights
Stacks343
Followers288
Votes12
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

Azure Application Insights vs JavaMelody: What are the differences?

Introduction

Azure Application Insights and JavaMelody are both monitoring tools that are used in web applications to track performance, diagnose issues, and optimize application performance. While they serve similar purposes, there are several key differences between the two.

  1. Data Collection: Azure Application Insights is a cloud-based monitoring tool provided by Microsoft Azure. It automatically collects data from various sources, such as web servers, applications, and databases, and stores it in the Azure cloud. On the other hand, JavaMelody is a Java-based monitoring tool that focuses primarily on tracking Java application performance. It collects data directly from the Java virtual machine (JVM) and stores it locally on the server.

  2. Integration: Azure Application Insights seamlessly integrates with other Azure services and supports a wide range of platforms, including .NET, Java, and Node.js. It provides out-of-the-box integration with popular Azure services like Azure Monitor, Azure Functions, and Azure DevOps. JavaMelody, on the other hand, is a standalone tool that can be easily integrated into any Java application. It does not provide built-in integration with other services or platforms.

  3. Customization: Azure Application Insights provides a rich set of features for customization and configuration. It allows developers to define custom metrics, alerts, and dashboards based on their specific requirements. It also supports custom telemetry data collection and correlation. JavaMelody, on the other hand, offers limited customization options. It provides pre-built monitoring metrics and dashboards, but customization options are limited to modifying the configuration file.

  4. Scalability: Azure Application Insights is a cloud-based service that automatically scales to handle high volumes of data. It provides built-in scalability options and automatically manages data storage and processing. JavaMelody, on the other hand, is limited to the server it is installed on. It may not be as scalable as Azure Application Insights, especially for large-scale applications with high traffic.

  5. Alerting and Monitoring: Azure Application Insights provides a wide range of built-in alerting and monitoring capabilities. It supports real-time monitoring, anomaly detection, and proactive alerting based on predefined thresholds. It also integrates with Azure Monitor, which provides advanced alerting and monitoring features. JavaMelody, on the other hand, does not provide built-in alerting and monitoring capabilities. It primarily focuses on performance monitoring and does not have advanced alerting features.

  6. Pricing: Azure Application Insights is a paid service, and the pricing is based on the volume of data ingested and the level of features required. It offers different pricing tiers to cater to different needs and budgets. JavaMelody, on the other hand, is an open-source tool and is available free of cost. It does not have any licensing or subscription fees.

In Summary,

Azure Application Insights is a cloud-based monitoring tool provided by Microsoft Azure, offering extensive integration, customization, scalability, alerting, monitoring, and pricing options. JavaMelody, on the other hand, is a standalone Java-based monitoring tool that provides limited integration, customization, scalability, and alerting capabilities. It is available for free and primarily focuses on Java application performance monitoring.

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Detailed Comparison

Azure Application Insights
Azure Application Insights
JavaMelody
JavaMelody

It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools.

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

Extensible Application Performance Management (APM) service; Monitor your live applications; Automatically detect performance anomalies
give facts about the average response times and number of executions; make decisions when trends are bad, before problems become too serious; optimize based on the more limiting response times; find the root causes of response times; verify the real improvement after optimizations
Statistics
GitHub Stars
-
GitHub Stars
3.0K
GitHub Forks
-
GitHub Forks
754
Stacks
343
Stacks
1
Followers
288
Followers
6
Votes
12
Votes
2
Pros & Cons
Pros
  • 6
    Focus in detect performance anomalies and issues
  • 3
    Integrated with Azure
  • 1
    User flow
  • 1
    Live Metrics
  • 1
    Availability tests (Heart Beat check)
Cons
  • 2
    Difficult to surface information
  • 1
    UI is clunky and gets in the way
  • 1
    Custom instrumentation via code only
Pros
  • 1
    Open source
  • 1
    Easy to setup

What are some alternatives to Azure Application Insights, JavaMelody?

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!

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.

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.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

AppDynamics

AppDynamics

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

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

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

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