Apache APISIX VS NewRelic

Apache APISIX Reviews

NewRelic Reviews

Apache APISIX mentions (63)

• Implementing the Idempotency-Key specification on Apache APISIX

  This post shows how to implement it with Apache APISIX. - Source: dev.to / about 1 month ago

• Hardening Apache APISIX with the OWASP's Coraza and Core Ruleset

  In this post, I'd like to describe how to fix some of them via the Apache APISIX API Gateway. - Source: dev.to / 3 months ago

• Mastering APISIX Health Checks: Active and Passive Monitoring Strategies

  In the era of digitization, the availability and stability of services are crucial for the success of enterprises. As a key component of microservices architecture, the API gateway plays a significant role. APISIX, an open-source API gateway platform, ensures the continuity and stability of services through its health check mechanism. - Source: dev.to / 4 months ago

• 2023 in retrospective

  Next February will mark the two-year milestone that I'm working for: API7.ai on Apache APISIX. I'm still very pleased about both. It allows me to do things I like a lot, such as writing posts and giving talks. - Source: dev.to / 4 months ago

• Five Apache projects you probably didn't know about

  In early 2021, I started to work on the Apache APISIX project. I have to admit that I had never heard about it before. In this post, I'd like to introduce some Apache projects that are less well-known than HTTPD or Kafka. - Source: dev.to / 5 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 / 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