Sentry.io VS locust

Sentry.io Reviews

locust Reviews

Sentry.io mentions (53)

• 10 best Javascript debugging tools

  Sentry stands as a robust open-source tool for keeping an eye on errors in real-time and digging into issues across a range of programming languages. It's a robust platform that gathers errors and adds essential context to the stack traces, enabling developers to effectively prioritize and solve critical business issues. - Source: dev.to / 4 months ago

• Killed by open sourced software. Companies that have had a significant market share stolen from open sourced alternatives.

  And on the server side, closer to services like DataDog, I think it's fair to say that Sentry has had a significant impact. Source: 5 months ago

• Mastering Error Tracking: A Beginner’s Guide to Sentry in Your NestJS Project

  We are going to have a hands-on example of implementing an error track inside a NestJS project, we are going to use Sentry as a tool to help us see and be ahead of the problem before they are properly reported by the users. Application Performance Monitoring & Error Tracking Software. - Source: dev.to / 6 months ago

• Setting up Django in a Better Way in 5 Minutes and Understanding How It Works

  Create an account on Sentry and create a project for Django. You can follow the steps on Sentry documentation for Django to get your dsn link and update the SENTRY_DSN variable. Enter the value without quotes here. SENTRY_DSN=https://examplePublicKey@o0.ingest.sentry.io/0. - Source: dev.to / 6 months ago

• A story about HTTP status codes and why you should read documentation

  This may seem obvious, now. But it’s not uncommon. So thanks, Sentry, for calling me out on it, helping me better understand the API I was working with, and for enabling me to make my code more robust. This has also helped to reduce noise in Sentry caused by my inability to type correctly whilst streaming. After all, a typo isn’t an application error; it’s a user error. - Source: dev.to / 6 months ago

locust mentions (55)

• Why Quarkus Native (probably) does not fit your project

  Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / about 2 months ago

• What is Load Testing? Complete Tutorial With Best Practices

  Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 2 months ago

• API Load Testing: Enhance Your Skills with Locust

  Locust is a perfect tool to use on such occasion:. - Source: dev.to / 3 months ago

• Breaking the 300 barrier

  So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 3 months ago

• The Power of Traces: Learn by Contributing to OpenTelemetry

  The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / 6 months ago