Loader.io VS NewRelic

Loader.io Reviews

NewRelic Reviews

Loader.io mentions (22)

• express server failing after high number of requests in digital ocean droplet with high configuration

  I wanted to see how many requests can this server handle, so I have used loader.io and run10k requests for 15 seconds. But it seems 20% percent of request fail due to timeout, and the response time keep increasing. Source: 10 months ago

• Why everyone says PostgreSQL better then mongo?

  I ran on the same hardware 5k current get requests through https://loader.io/ tool to the server with each db. Source: about 1 year ago

• free-for.dev

  Loader.io — Free load testing tools with limitations. - Source: dev.to / over 1 year ago

• How to stress test my website?

  We put 50 servers of puppets against 50 http servers and see who wins. Ever had 10,000 in your checkout line at once? loader.io is for posers. Also what if there's 250,000 wanting to join the checkout line. Well we can scale to the moon and not handle that. I recommend a waiting room like Queue It. Source: over 1 year ago

• Best Way to Benchmark Web Hosting?

  I've used what you said, identical setups (with Wordpress) and some plugins: WordPress Hosting Benchmark tool and WP Performance Tester plus some runs with loader.io. Source: over 1 year ago

NewRelic mentions (80)

• Caching in depth

  Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / 24 days ago

• How to Handle N+1 Queries for Optimal Database Performance in Django?

  Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / about 1 month ago

• How to improve page load speed and response times: A comprehensive guide

  These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 2 months ago

• Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP

  11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 2 months ago

• Breaking the 300 barrier

  Recently, we have been experiencing some Latency issues. The reason being the increase in our userbase as more companies are adopting our platform to do their procurement efficiently. Our core product is a monolith rails application served on AWS servers. We use AWS ELB's Application load balancer to swiftly balance the load on multiple servers and increase them when needed. So, these sudden latency issues caused... - Source: dev.to / 2 months ago