Dev tools · September 15, 2022
Aperture Open Source Flow Control and Reliability Platform
Hello people of HN and fellow SREs! Over the past year, we have been building Aperture - an open-source flow control and reliability platform for cloud applications. Over the past few years, companies like LinkedIn[1], Google [2], Netflix [3], Stripe [4] have built cutting-edge flow control technologies to keep their applications reliable. Flow control is powerful because it enables graceful degradation- the ability to preserve key user experience pathways, even in the face of application failures. With Aperture project, we hope to democratize building reliable applications with effective…
What it does
In the maker’s words, at launch
Hello people of HN and fellow SREs! Over the past year, we have been building Aperture - an open-source flow control and reliability platform for cloud applications. Over the past few years, companies like LinkedIn[1], Google [2], Netflix [3], Stripe [4] have built cutting-edge flow control technologies to keep their applications reliable. Flow control is powerful because it enables graceful degradation- the ability to preserve key user experience pathways, even in the face of application failures. With Aperture project, we hope to democratize building reliable applications with effective flow control. Using Aperture’s powerful policy language, you can deploy flow control techniques such as weighted fair queuing for prioritized load-shedding and distributed rate-limiting for abuse prevention to your applications. Using modular components to build policies allows you to maintain optimal user experience during traffic spikes, prevents cloud resource wastage by regulating abusive users, and ensures that new feature rollouts don’t result in accidental downtime. We are excited to release Aperture as an open source project under the AGPL v3 license and invite SREs, DevOps, enthusiasts to give the project a try. We would love to hear your feedback on Aperture and how we can improve! Github: https://github.com/fluxninja/aperture Docs: https://docs.fluxninja.com/ Announcement: https://techcrunch.com/sponsor/fluxninja/fluxninja-announces... Explainer Video: https://www.youtube.com/watch?v=sEl4SMo3KNo [1]: https://engineering.linkedin.com/blog/2022/hodor--detecting-... [2]: https://sre.google/sre-book/handling-overload/ [3]: https://netflixtechblog.com/keeping-netflix-reliable-using-p... [4]: https://stripe.com/blog/rate-limiters
Does the same job
all alternatives →- AFAperture – Flow Control for Cloud Apps2022 · github.com · ▲7
Hello HN, Over the past year, we have been building Aperture - an open-source flow control and reliability platform for cloud applications. Over the past few years, companies like LinkedIn[1], Google [2], Netflix [3], Stripe [4] have built cutting-edge flow control technologies to keep their applications reliable. Flow control is powerful because it enables graceful degradation- the ability to preserve key user experience pathways, even in the face of application failures. With Aperture project, we hope to democratize building reliable applications with effective flow control. Aperture…
- SYScale your APIs with Aperture flow control2022 · github.com · ▲5
Hello HN, Over the past year, we have been building Aperture - an open-source flow control and reliability platform for cloud applications. Over the past few years, companies like LinkedIn[1], Google [2], Netflix [3], Stripe [4] have built cutting-edge flow control technologies to keep their applications reliable. Flow control is powerful because it enables graceful degradation- the ability to preserve key user experience pathways, even in the face of application failures. With Aperture project, we hope to democratize building reliable applications with effective flow control. Aperture…

- AIAscend.io – Smarter Data Pipelines2019 · ▲23
Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…
- ADA distributed workflow engine written in Go2023 · github.com · ▲9
I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
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