karangoeluw
- It has ALL THE PORTS
- No gimmicky touch bar
- No butter-a$$ keyboard
If Apple doesn't revert these dumb changes, I will simply get a Dell or something else.
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1. Contribute early on little by little 2. Contribute nothing to very little for a while amassing huge fortunes (and compound interest magic), then donate big.
Pretty much the same question as lump sum vs dollar cost averaging in investing.
Have there been studies on this?
None of them actually provision your infra for you (VMs, LB rules etc). GKE On-Prem will.
Now, the benefit of upstream K8s is that your dev team can build apps and containers without proprietary APIs; so when you are ready to move to the cloud you are not locked-in.
Quick note though - We are exploring additional options, such as bare metal support, based on customer demand.
We are exploring additional options, such as bare metal support, based on customer demand.
Send me an email (karangoel [at] google) if you'd be interested in talking more about bare metal.
GKE On-Prem is a Google provided, validated and supported distribution of Kubernetes and extensions that offer a GKE-like experience in your on-premise datacenter. It makes it easy to install and upgrade Kubernetes and provides access to GCP services such as monitoring, logging, metrics, security and auditing for your on-premise installation. It is the foundational component of the Cloud Services Platform, and is how Google "brings the cloud to you".
CSP combines Kubernetes both in your on-premise datacenter (GKE On-Prem) and Google-managed Kubernetes in GCP (GKE) with Istio and other CI/CD (Cloud Build) and serverless (Knative) products. You can leverage this suite of products to both modernize your existing on-premise applications and build new applications in the cloud.
Additionally, Google will be offering phone and email support similar to the existing GCP support packages.
In the Alpha, we are supporting vSphere 6.5. Which part of infra are you most curious about knowing?
GKE On-Prem is packaged with upstream K8s. So for your team that currently uses `kubectl` to deploy or manage workloads, there won't be any differences.