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VisualVM VS locust

Compare VisualVM VS locust and see what are their differences

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VisualVM logo VisualVM

VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...

locust logo locust

An open source load testing tool written in Python.
  • VisualVM Landing page
    Landing page //
    2021-10-18
  • locust Landing page
    Landing page //
    2021-10-11

VisualVM features and specs

  • Comprehensive Monitoring
    VisualVM allows developers to monitor and troubleshoot Java applications through various data points like JVM-level statistics, thread monitoring, and memory inspection.
  • Integration with JDK
    As a part of the JDK, VisualVM is easy to access and use without the need for additional installations or configurations.
  • Lightweight
    Being lightweight, VisualVM does not add significant overhead to the system and can be used effectively in development without impacting performance.
  • User-friendly Interface
    VisualVM provides an intuitive and graphical interface that makes it easier for users to analyze the performance metrics and diagnose issues.
  • Plugin Support
    VisualVM supports plugins, allowing users to extend its functionalities according to specific requirements and use cases.
  • Cross-platform
    As a Java-based tool, VisualVM can be run on any platform that supports Java, making it highly versatile.

Possible disadvantages of VisualVM

  • Limited to Java Applications
    VisualVM can only be used with Java applications, which can be a limitation for mixed-environment monitoring needs.
  • Limited Features for Enterprise
    While excellent for basic monitoring, VisualVM might lack some features and scalability needed for large enterprise-grade monitoring and performance analysis.
  • Steep Learning Curve for Advanced Features
    Despite its user-friendly interface, some advanced features and customizations can be complex and may require a steep learning curve.
  • Infrequent Updates
    The update cycle for VisualVM can be slower compared to commercial alternatives, leading to potential lag in addressing bugs or adding new features.
  • Resource Usage
    Running VisualVM for in-depth analysis on the same machine as the application it monitors could potentially affect the application’s performance due to resource consumption.

locust features and specs

  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

Analysis of locust

Overall verdict

  • Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.

Why this product is good

  • Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.

Recommended for

  • Development teams looking for a scalable load testing tool.
  • Organizations that prefer open-source solutions.
  • Projects requiring custom test scenarios in Python.
  • Teams needing real-time monitoring and distributed testing capabilities.

VisualVM videos

+ Add

Java Heap Dump Analysis - VisualVM Tutorial

More videos:

  • Tutorial - OutOfMemoryError Java Heap Space Fix - Heap Dump Analysis VisualVM Tutorial

locust videos

+ Add

Locust review - GTA Online guides

More videos:

  • Review - GTA Online: Ocelot Locust Review
  • Review - GTA 5 - DLC Vehicle Customization - Ocelot Locust and Review

Category Popularity

0-100% (relative to VisualVM and locust)

VisualVM

locust

Software Development
100 100%
Software Development
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Resource Profiling And Monitoring
100 100%
Resource Profiling And Monitoring
0% 0
Website Testing
0 0%
Website Testing
100% 100

User comments

Share your experience with using VisualVM and locust. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, locust should be more popular than VisualVM. It has been mentiond 61 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

VisualVM mentions (23)

  • Streaming data from RDBMS with jooq
    For the purposes of this demo, let’s simply count the number of retrieved rows. The Thread.sleep() is included to give me time to open VisualVM and check the metrics:. - Source: dev.to / almost 4 years ago
  • How to Monitor SQL Performance in Spring Boot
    To track query-level metrics, check out the Hibernate Statistics section. Profiling tools like YourKit or VisualVM can help you analyze key metrics such as:. - Source: dev.to / 6 months ago
  • Can java collection be fixed?
    If you're curious, attach VisualVM and watch the RAM usage graph. You'll notice that Java performs garbage collections long before reaching allocating the maximum amount of RAM allocated, and you can't even feel any performance issue in-game. Source: about 2 years ago
  • Items won't drop when either mined or dropped from inventory and new chunks won't load.
    Hangs and deadlocks are significantly harder to debug. A first step is taking a thread dump so you can see what each thread in the JVM is currently trying to do. I like VisualVM for this, you can also use the command-line tools jps -l (to list all Java PIDs) and jstack for taking a thread dump. Source: about 2 years ago
  • Top metrics for Elasticsearch monitoring with Prometheus
    The Java VisualVM project is an advanced dashboard for Memory and CPU monitoring. It features advanced resource visualization, as well as process and thread utilization. - Source: dev.to / about 2 years ago
View more

locust mentions (61)

  • 3 Types of Chaos Experiments and How To Run Them
    Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 2 months ago
  • Outgrowing Postgres: How to identify scale problems
    Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 4 months ago
  • Five Advanced Techniques to Improve Automated Testing by 50%
    You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 5 months ago
  • Why your FastAPI (or Flask) App performs poorly with high loads
    These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 8 months ago
  • How MySQL Tuning Can Dramatically Improve WordPress Performance
    Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 12 months ago
View more

What are some alternatives?

When comparing VisualVM and locust, you can also consider the following products

Eclipse Memory Analyzer - The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 350 open source projects, including runtimes, tools and frameworks.

Apache JMeter - Apache JMeter™.

Robot Console - Robot Console is a Message and Event Monitoring Software for IBM i thathas automatic message management, resource monitoring, and log monitoring.

Loader.io - Loader.io is a simple cloud-based load testing service

JConsole - Provides information about performance and resource consumption for Java applications.

gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty

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