Kintaba VS NewRelic

Kintaba Reviews

NewRelic Reviews

Kintaba mentions (3)

• Imagine there’s no human error

  [2] shameless plug for https://kintaba.com, my startup in this space. - Source: Hacker News / almost 2 years ago

• Show HN: Grafana Incident, smart incident management for your teams

  This was a big learning for us when we were first building out Kintaba[1]. Re: task management specifically-- having previously been at FAANG companies that built all their own tools I had not realized just how prevalent Jira is. It. is. EVERYWHERE. And IT orgs at companies from 3 to 300,000 people are absolutely married to their carefully customized version of it as a system of record for everything that happens... - Source: Hacker News / over 2 years ago

• Incident response: “The next 16 minutes are going to get intense”

  - For the history of why we prepare for incidents and how we learn from them effectively: Sidney Dekker's Field Guide to Understanding Human Error [3] [1] https://kintaba.com. - Source: Hacker News / over 2 years 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 / 26 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 / 3 months ago