Based on our record, locust should be more popular than HEY. It has been mentiond 55 times since March 2021. 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.
In June 2020, Basecamp decided to take on the giants of email service providers with the launch of HEY.com, aiming to revolutionize the way we interact with our inboxes. Touted as the email service for those who love email but hate its clutter, HEY.com has certainly generated buzz. But does it live up to the hype? Let's delve into its features, usability, and overall value proposition. - Source: dev.to / 29 days ago
HEY is a big company, with financial resources and a large social media following. If even they feel bullied by Apple, just imagine what it's like for smaller app developers. And HEY is not even a PWA – it's a native app. - Source: dev.to / 4 months ago
I like to use software by smaller companies with a focus on privacy. I am now starting to regret putting my full email support behind hey.com. With 1/3 of the Basecamp employees bailing I'm concerned if Hey.com will survive and the disruption that is going to be informing everyone that I've had to change emails. I went in big on Hey using it both for personal and work email. Source: about 3 years ago
Well one of the key selling points of the personal account is that you get a hey.com address. On the flip side they developed the business account and everything around it to use the customer's domain. I'm just guessing, however I suspect it is something along the lines of:. Source: about 3 years ago
Try Turbo? It's basically iframe-like navigation that make backend rendered pagelets feel like SPA. It's the underlying of Hey webmail. Source: about 3 years ago
Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / about 2 months ago
Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 2 months ago
Locust is a perfect tool to use on such occasion:. - Source: dev.to / 2 months ago
So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 2 months ago
The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / 6 months ago
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