Hiring Locust developers? Then you should know!
How and where is Locust used?
- Load Testing: Simulate thousands of users accessing a website
- Stress Testing: Test the limits of a system under extreme conditions
- Spike Testing: Check how a system handles sudden spikes in traffic
- Performance Testing: Evaluate the overall performance of a system
- Scalability Testing: Test how well a system scales with increased load
- Capacity Planning: Determine the resources needed to support user load
- Failover Testing: Ensure a system can switch to backup resources seamlessly
- API Testing: Test the functionality and performance of APIs
- Continuous Integration: Integrate load testing into the development process
- Cloud Testing: Test applications deployed in cloud environments
Compare Junior, Middle, Senior, and Expert/Team Lead Locust Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 2-5 years |
| $80,000 |
Senior | 5-8 years |
| $100,000 |
Expert/Team Lead | 8+ years |
| $120,000 |
Quick Facts about Locust.
- Locust was created in 2011 by Swedish developer Jonas Bonér.
- Popular project types using Locust include load testing and performance monitoring.
- The entry threshold to start using Locust is relatively low, requiring basic Python knowledge.
- Closely related technologies to Locust include JMeter and Gatling for performance testing.
- Fun Fact: Locust got its name from the insect known for its swarming behavior, reflecting its load testing capabilities.
TOP Locust Related Technologies
- Python (Guido van Rossum, 1991)
- JavaScript (Brendan Eich, 1995)
- Java (James Gosling, 1995)
- C++
- C# (Microsoft, 2000)
What are top Locust instruments and tools?
- Locust: An open-source load testing tool released by the company Locust.io.
- K6: A tool by Load Impact released in 2017 for performance testing.
- Apache JMeter: A popular tool from the Apache Software Foundation for load testing.
- Gatling: A Scala-based tool released in 2012 for load testing.
Talk to Our Talent Expert
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Maria Lapko
Global Partnership Manager