NewRelic VS Spotify

NewRelic Reviews

Spotify Reviews

1. FaizaAdeel    

   Owner at Peacock.collection11 | 6 months ago
   Enjoyable Music Experience

   Spotify stands out as a top-tier music streaming service with its vast library, user-friendly interface, and personalized playlists. Despite minor drawbacks, such as audio quality variance and download limitations, it remains a go-to platform for music enthusiasts.

   🏁 Competitors: SoundCloud

   👍 Pros:    Extensive music library|User friendly interface|Personalized playlists|Cross-platform sync

   👎 Cons:    Audio quality variation for lower tired subscription pla|Limited offline downloads
2. LPS    

   almost 2 years ago
   My favourite feature is the Listen Along and Weekly Playlist!

   It's extremely fun to listen along to a friend or random people, find new songs. I really like spotify's algorithm and how it comes up with new weekly playlists. I always love those (most of the time XD)

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 / about 1 month 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 / 3 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 / 3 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 / 3 months ago

Spotify mentions (0)