Based on our record, NewRelic seems to be a lot more popular than Google Open Source. While we know about 81 links to NewRelic, we've tracked only 7 mentions of Google Open Source. 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.
Open AI's work is based off of Google's research paper. Google believes in open source! https://opensource.google/ Google will save us. Google will make their AI open source. Their motto is "Don't be evil"! ... But I'm still waiting for their source code of YouTube, Gmail, drive, maps, docs, sheets, forms, search, ads, translate, sites, etc. Source: about 1 year ago
It's not on google github/their open source git host(for comparison, the canonical go repo is), their readme makes no mention of google, wikipedia says "The language is expected to have a 1.0 release in 2024 or 2025.[4]",. Source: over 1 year ago
Google would have to open source the controller firmware for people to find a way to make Bluetooth work, but there are no discontinued Google products on opensource.google at all. Source: over 1 year ago
Https://opensource.google/ is not listing any dead Google products my dude. Source: over 1 year ago
And side note, don't bring up both MS and Google when both are well known to make use of FOSS. Google has an entire page about how they both make use of and release OSS. Source: almost 2 years ago
*1. New Relic *— it’s a tool to check on the slow performance of your app. If any action of the user takes longer than usual, NewRelic will inform you about that. - Source: dev.to / 1 day ago
Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / about 1 month 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 / 3 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 / 3 months ago
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