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K8s 101, ReplicaSet: who watches your Pods #4
What a ReplicaSet is, how it adopts Pods through labels, why loose Pods are dangerous and what it really means for apply to be idempotent.
Hey! Sharing a 🤏 of my knowledge through these blog posts 🔥
I'm Sebastián 👋, a backend software engineer 💻 working on cloud infrastructure ☁️ and distributed systems 🌐.
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K8s 101, ReplicaSet: who watches your Pods #4
What a ReplicaSet is, how it adopts Pods through labels, why loose Pods are dangerous and what it really means for apply to be idempotent.
K8s 101, the manifest as a way of life #3
Our first Pod with kubectl, how to inspect it when it fails, and why in real life nobody fires off commands but writes YAML manifests instead.
K8s 101, what is a Pod, really? #2
Why K8s never deploys a lone container. The history from VMs to containers, what Linux namespaces are, and which ones a Pod actually shares.
Parallel programming, going a bit deeper #2
The for directive, how to detect dependencies between iterations, and reduction/critical/atomic for splitting up work without breaking anything.
Parallel programming, introduction #1
What HPC is, why shared memory and distributed memory exist, and the first steps with OpenMP.
K8s 101, the basics #1
A first look at Kubernetes; what an orchestrator is and how the master and nodes fit together.