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iamsafts.com | ||
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blog.tanelpoder.com
You may remember my previous article about high-performance I/O for cloud databases, where I tested out the Silk Platform and got a single Azure VM to do over 5 GB/s (gigaBytes/s) of I/O for my large database query workload. The magic was in using iSCSI over the switched cloud compute network to multiple "data VMs" at the virtualized storage layer for high I/O throughput and scalability. Well, the Silk folks are at it again and Chris Buckel (@flashdba) just sent me screenshots of similar test runs using the latest Azure "v5" instance as the single large database node and they achieved over 10 GB/s scanning rate for reads and 6 GB/s write rate with large I/Os! - Linux, Oracle, SQL performance tuning and troubleshooting - consulting & training. |
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blog.nodraak.fr
TL;DR: There is no best architecture, it all depends on your requirements and resources Clusters with 1 to 3 nodes are good for testing, but for production you should have at least 5 nodes Feel free to do differently as I say Introduction Since its launch in 2015, Kubernetes is the new bitcoin and every company wants to migrate all its infrastructure (which is obviously made of hundreds of microservices) to show how cool they are. |
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www.h-i-r.net
Kubernetes relies on Linux containers and cgroups, so you can't run Kubernetes or even docker containers directly on OpenBSD, but Alpine Lin... |
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haseebmajid.dev
In this post, we will go over how we can deploy K3S on our PI cluster we have set up. Which is running NixOS, and we can also pass secrets using sops nix based on the previous parts of this series. Some of you maybe wondering what is K3S, it is a Kubernetes distribution which is tiny i.e. the binary is only 50 MB. It also has fewer dependencies. Make it perfect our PI cluster and home lab and IoT apps. I am still going to work out how to manage the Kubernetes cluster itself, perhaps I will use Pulumi you could also terraform if you wanted a reproducible PI cluster. |
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