Buildkite is a CI/CD platform that helps you deliver software at scale. Join teams like Shopify, PagerDuty and Wayfair to discover how to easily autoscale and manage the build agents inside your own infrastructure, while leaning on the fully supported and managed central web interface and APIs. You can also measure and monitor your developer SLOs, and get deep metrics and observability into your CI and CD reliability and performance.
Based on our record, Python seems to be a lot more popular than Buildkite. While we know about 282 links to Python, we've tracked only 11 mentions of Buildkite. 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.
Buildkite Pipelines: Free developer tier includes unlimited concurrency, up to 3 users, 5k job minutes/month, and 30-day build retention, with more free inclusions for open source projects Test Analytics — Get more out of your test suites, works with any CI platform. The free developer tier includes 100k test executions/month, with more free inclusions for open-source projects. - Source: dev.to / 4 months ago
Buildkite.com you can run agents where ever you want. Source: over 1 year ago
Give https://buildkite.com/ for CI/CD a try, you'll love it! - Source: Hacker News / over 1 year ago
Even that niche has better competitors, I think. I haven't used on-prem CCI, but I used hosted CCI for several years and when my team switched to https://buildkite.com/ it was a huge breath of fresh air. I think BuildKite is the only CI system I've used I thought was actually worth paying for, and I bet it works out cheaper than self-hosted CCI in most cases as well. - Source: Hacker News / over 1 year ago
Buildkite: a startup that offers a CI/CD platform that combines the power of your own build infrastructure with the convenience of a managed, centralized web UI. Source: over 1 year ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 3 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
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