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I (or we're) am running a Kubernetes Cluster.
It's total of 11 worker nodes. each node have a 2 HDDs and mostly 2 of NVMe Storage. on Networking side, just 1 10Gbps Ethernet port is attached to each nodes.
However, it's pretty hard to determine which distributed storage solution (or way) is fit to our situation.
We've tried a various ways to achieve.
- Longhorn: Great. Simple to Setup. Sometimes it goes to Read-Only State. (because changed block couldn't synced to other replicated storage, especially Superblock)
- OpenEBS (copied version of Longhorn iSCSI version): Same as Longhorn.
- Ceph: Great. No issues at all. But really stressful when HDDs are jammed with S.M.A.R.T. Error.
How do you manage a storage cluster like ours?
Someone suggests to "don't replicate unless you need to" or "use NFS to Shard disks" but IDK it's the best way to keep the data on failure.
Thank you in advance.
Lee.
However, when I figuring out how to grab search data from Google, it requires some additional price (or huge if the volume is too big) to get it. (Or do some sneaky things to make a real search on Google. But seems like provider wouldn't allow this.)
My question is, how do (or you if youre working on related sides) they get search results from google? and how does that cost?