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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. JavaMelody vs Stackify

JavaMelody vs Stackify

OverviewComparisonAlternatives

Overview

Stackify
Stackify
Stacks113
Followers69
Votes56
JavaMelody
JavaMelody
Stacks1
Followers6
Votes2
GitHub Stars3.0K
Forks754

JavaMelody vs Stackify: What are the differences?

Introduction:

JavaMelody and Stackify are two popular tools used for monitoring and performance tuning in Java applications. While both serve the same purpose, they do have key differences that set them apart.

  1. Monitoring Capabilities: JavaMelody provides monitoring of JavaEE applications and servers, database monitoring, and performance monitoring of Java applications. On the other hand, Stackify focuses more on application performance monitoring, code-level performance insights, and proactive error tracking, making it more developer-focused.

  2. Deployment Flexibility: JavaMelody is typically deployed within the application server itself, providing insights from within the application. In contrast, Stackify is a cloud-based service which offers the advantage of monitoring applications that are distributed across multiple servers and environments, providing centralized monitoring and management capabilities.

  3. Alerting and Notification: Stackify offers advanced alerting capabilities where users can set up custom alerts based on specific metrics and thresholds, receiving notifications via email, SMS, or integration with other tools like Slack. JavaMelody, on the other hand, lacks these advanced alerting features and mainly focuses on performance monitoring and data visualization.

  4. Custom Metrics and Dashboards: Stackify allows users to create custom metrics and dashboards, enabling them to track specific performance indicators that are relevant to their applications. JavaMelody, while offering a range of pre-built metrics and dashboards, has limited flexibility in terms of customization and personalization.

  5. Support and Documentation: Stackify provides extensive documentation, tutorials, and a dedicated support team to assist users in setting up and utilizing their monitoring tools effectively. On the other hand, JavaMelody relies more on community forums and self-help resources for support, which may be challenging for users requiring immediate assistance or facing complex issues.

  6. Cost Structure: JavaMelody is an open-source tool, making it a cost-effective option for organizations with a limited budget. In contrast, Stackify follows a SaaS pricing model, which may involve subscription fees based on the number of applications or servers being monitored.

In Summary, JavaMelody and Stackify differ in terms of monitoring capabilities, deployment flexibility, alerting features, customization options, support resources, and cost structure.

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Detailed Comparison

Stackify
Stackify
JavaMelody
JavaMelody

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

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.

Application Performance Management (APM), Custom metrics, Log management. Application monitoring;Server Monitoring;DB & queries monitoring;Queues monitoring;Auto-discovery of new apps;Alerts;App Status Alerts;Email & SMS notification;Escalation rules;Errors aggregation, errors reporting;Alerts, trends;App reporting;Log Files aggregation & appending.Tail and search app & IIS logs;Windows event viewer;Remote secure Access;Access server logs, files, configurations;Role based access;Audit & reporting;App Metrics;Monitor performance counters;Custom Metrics via API;Monitor JVM mBeans;Application Performance;Track web page performance;Utilizing custom metrics to track performance of anything;
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
113
Stacks
1
Followers
69
Followers
6
Votes
56
Votes
2
Pros & Cons
Pros
  • 8
    Error tracking
  • 7
    Log management
  • 7
    Easy setup
  • 7
    Monitoring
  • 6
    Alerting
Pros
  • 1
    Open source
  • 1
    Easy to setup
Integrations
Amazon EC2
Amazon EC2
Slack
Slack
Jira
Jira
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Azure DevOps
Azure DevOps
No integrations available

What are some alternatives to Stackify, 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.

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.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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