Sichen Xiao’s Post

Eliminate the guesswork when planning your K8s cluster node size. This tool is amazing. https://lnkd.in/eTPiz93v

As part of the 56th edition of The IT Press Tour event held in California this week, VMblog had the opportunity to attend a briefing by Rui Su, co-founder of Juicedata, the company behind the innovative #JuiceFS distributed file system. Su provided an in-depth look at how JuiceFS addresses the limitations of traditional #storage solutions when dealing with demanding data-intensive workloads. Find out more: https://lnkd.in/gCRdDZET #FileStorage #DistributedFS #Posix #FastIO #S3 #ITPT

Experiencing sluggish local disk I/O for temporary data in #Kubernetes? Explore the power of #NVMe storage and efficient #Containerization with no additional cost! #Storage #EKS

The Art of Right Sizing K8s! 💡🌟 Kubernetes has become a powerhouse in the tech world, but not everyone knows the art of right sizing their workloads. Unfortunately, this oversight often leads to paying for resources you don't actually need. Here's an invaluable resource to deepen your understanding: Dive into this enlightening article that explores the nuances of right sizing Kubernetes cluster nodes, complete with a breakdown of how CPU and memory are harnessed by the Kubelet https://lnkd.in/daxhTgt6 📚🔗 I'd love to hear your insights.Have you discovered anything that you want to share How has right sizing impacted your Kubernetes adventures? Share your thoughts in the comments below and let's keep the conversation going! 💬👇

Our latest blog post shows that you can run LINBIT SDS and Kubernetes on a cluster that fits in a shoe box. Kubernetes at the Edge Using LINBIT SDS for Persistent Storage https://bit.ly/3sQMjdN

This article shows how an intended use of S3 can significantly reduce costs. In a way, this is similar to how using knowledge of how CPU caches work can result in better-performing code. It's all about understanding how the components work, and using that understanding to create systems that work more efficiently. The article does a great job of showing how the author got to the result, too! Great job of showing the work!

Wow there are now 170 Graviton instances with the launch of #Graviton3 based instances with local storage! check them out and see how they can help you optimize the price-performance of your workloads! #aws #graviton

Anyone actually run an inference with this yet? Any tips on local hardware, EC2 instance sizes or types? Initial attempts have (I guess) run out of GPU memory. https://lnkd.in/e-pxpMza

Peer knows what they are doing with Distributed cross-platform file systems! (Warning shameless plug inbound) The linked article references a blog I recently published on the topic! https://lnkd.in/g-_F3ipF

A while back ago CDNs would market on their TTFB - that is the 'time to first byte'. It sounds like a really important number and the lower you can make it the more impressive it looks. At the end of the day though it doesn't really matter cause a single image can be tens of kilobytes or even megabytes in size. A single page can have 80 some odd requests and transfer multiple megabytes in resources. So while it is interesting it's a bit of a vanity metric. Boot time is one of those vanity metrics too. https://lnkd.in/gybnuJkC