Based on our record, NewRelic seems to be a lot more popular than usql. While we know about 80 links to NewRelic, we've tracked only 5 mentions of usql. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Also all languages has an query-builder / ORM so the benefit of something like PRQL is possibly not big enough to merit it as an additional dependency. My suggestion: Make PRQL a cli tool that can be used by allowing users to connect to a database in a similar fashion as something like usql (https://github.com/xo/usql),. - Source: Hacker News / over 1 year ago
Https://github.com/xo/usql has some good first issues. Source: almost 2 years ago
I am not a big fan of the complex literate programming style involving code-generation which this article talks about. But I recently discovered that Google's zx [1] scripting utility supports executing scripts in markdown documents and I combined it with httpie [2] and usql [3] for a bit of quick and dirty automation testing and api verification code and it worked out pretty well. [1] ... - Source: Hacker News / about 2 years ago
A few months ago I started working on adding \d* commands to usql that would allow to list and describe various database objects, like tables, views, indexes, etc. I started looking for existing solutions in Go and stumbled upon this issue: https://github.com/golang/go/issues/7408. Source: about 3 years ago
For cli power users, I'd say it's https://github.com/xo/usql Full disclosure, I've put some effort in it recently. Source: about 3 years ago
Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / 26 days ago
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
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
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
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
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