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locust VS DevCycle

Compare locust VS DevCycle and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

locust logo locust

An open source load testing tool written in Python.

DevCycle logo DevCycle

DevCycle helps modern product engineering teams release code faster and safer.
  • locust Landing page
    Landing page //
    2021-10-11
  • DevCycle Landing page
    Landing page //
    2023-09-16

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.

DevCycle features and specs

  • Feature Management
    DevCycle provides robust feature management capabilities, allowing developers to deploy and manage features effectively without deploying new code, which increases efficiency and reduces the risk of errors.
  • Real-time Analytics
    The platform offers real-time analytics, enabling teams to track how features perform and understand their impact on users immediately, facilitating data-driven decision-making.
  • User Targeting
    DevCycle supports advanced user targeting, allowing teams to segment users and roll out features to specific groups, which helps in personalized user experiences and controlled feature testing.
  • Integration Capabilities
    The solution integrates smoothly with existing development and CI/CD workflows, making it easy to incorporate into current processes without significant disruptions.
  • Scalability
    DevCycle is designed to scale efficiently with the needs of growing organizations, ensuring consistent performance regardless of the number of features being managed.

Possible disadvantages of DevCycle

  • Learning Curve
    New users might encounter a steep learning curve due to the platform's comprehensive feature set, which can require time to fully understand and utilize effectively.
  • Cost
    Depending on the scale and usage, DevCycle might become costly for smaller teams or projects with limited budgets, creating a barrier to entry for some organizations.
  • Complexity
    For less complex projects, the extensive features of DevCycle may be unnecessary and add complexity, potentially making simpler tools more attractive.
  • Dependency
    Relying heavily on a third-party feature management tool may introduce dependencies, potentially affecting flexibility and control over certain aspects of development.

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.

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

DevCycle videos

+ Add

Labs: The Evolution of Continuous Merge with DevCycle (#140)

Category Popularity

0-100% (relative to locust and DevCycle)

locust

DevCycle

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Website Testing
100 100%
Website Testing
0% 0
Feature Flags
0 0%
Feature Flags
100% 100

User comments

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Social recommendations and mentions

Based on our record, locust should be more popular than DevCycle. It has been mentiond 65 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.

locust mentions (65)

  • 15 Common Kubernetes Pitfalls & Challenges
    Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 10 months ago
  • Small-Scale Chaos Testing: The Missing Step Before Production
    Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 11 months ago
  • Log Spikes? Noย Sweat: How Top DevOps Teams Tame Bursty Workloads
    But you donโ€™t have to operate at Netflixโ€™s scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโ€™s k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
  • Serving 200M requests per day with a CGI-bin
    I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
  • 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 / over 1 year ago
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DevCycle mentions (10)

  • Ask HN: Who is hiring? (February 2025)
    DevCycle | Senior/Staff Full Stack | Full-time | Toronto (Hybrid / Remote) | $150k - $180k | https://devcycle.com We are looking for a Senior-level engineer to help us build out and scale DevCycle. We are a small team that's been building in the feature flagging / AB testing space for a while (from Taplytics YC W14), supporting open standards like OpenFeature. We run a large distributed system serving trillions of... - Source: Hacker News / over 1 year ago
  • Congrats to the DevCycle Feature Flag Challenge Winners!
    We want to give a big shout out to DevCycle for organizing this challenge with us. As many of you experienced, their platform truly makes it easy to create, rollout, and cleanup feature flags without disrupting your workflow. We are so grateful the DevCycle team decided to partner with us! - Source: dev.to / over 1 year ago
  • Boost DX, Enhance UX, and Skyrocket Profits! Dive into a sub-50ms world with Edge Feature Flags ๐Ÿš€
    We found the high-speed feature flag system operating on the cloud edge that we were looking for: DevCycle. The benefits of DevCycle include:. - Source: dev.to / almost 3 years ago
  • What's so great about LaunchDarkly?
    Hey I'm biased and work for a LaunchDarkly competitor, DevCycle. Source: over 3 years ago
  • Show HN: We built an open-source LaunchDarkly alternative for B2Bs
    Welcome to the party! We launched https://devcycle.com about a year ago. We're not trying to compete in the self-hosted / on-prem space. Moreso a super simple setup and high flexibility. Your use case is interesting though, it would definitely fix a lot of headache for people trying to do this via Auth0 directly. Also this just fits in a perfect slot for people starting up a new SaaS platform for sure. Super cool. - Source: Hacker News / over 3 years ago
View more

What are some alternatives?

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

Apache JMeter - Apache JMeterโ„ข.

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

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

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

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