Based on our record, Sentry.io should be more popular than gatling.io. It has been mentiond 53 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.
Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / about 2 months ago
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago
New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago
Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago
I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago
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
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
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 / 5 months ago
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
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 - An open source load testing tool written in Python.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache JMeter - Apache JMeter™.
Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.
Loader.io - Loader.io is a simple cloud-based load testing service
Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.