X (Twitter) VS NewRelic

X (Twitter) Reviews

1. CaptainJ    

   about 1 year ago

   Pretty nice app to share and to see how the people share the thoughts here

   👍 Pros:    Straightforward|Easy user interface|Information is easily accessible

   👎 Cons:    Can't attach a video file to your post

NewRelic Reviews

X (Twitter) mentions (883)

• A startup built BY the public

  If you like it, don't hesitate to follow my on X 😊. Source: 5 months ago

• Helpful Book

  If you have faith in my comics be a disciple of me and follow on X insta or FB . Thank you and God bless. Source: 5 months ago

• Significant Guidelines All Programmers Should Adhere To

  Connect with me via Twitter / Instagram / Github & subscribe to my Youtube Channel. - Source: dev.to / 5 months ago

• NHL Betting and Picks - 11/25/23 (Saturday)

  If you like this pick, follow me on Twitter for more! BOL if tailing! Source: 5 months ago

• 5 Docker Extensions to make your development life easier

  Thanks for reading. Follow me on Twitter for more cookies :). - Source: dev.to / 6 months 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