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docker

Posts: 6
Rik Nieu
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StockMonitor - my fundamental analysis bot

Rik Nieu on fundamental analysis, value investing, stock trading, Benjamin Graham, StockMonitor, docker, income, monitoring, S&P500 | 14 Feb 2021

I finally wrote a piece of software I've wanted for years - a bot that regularly monitors the stock market for good, fundamentally sound companies that are undervalued, and then lets me know as soon as it finds them.…

The Kubernetes Series - Scheduling

Rik Nieu on Deployments, docker, kubernetes, resourcequotas, YAML, kube-scheduler, Node Affinity, Taints, Tolerances | 09 Dec 2019

Kube-scheduler, if you recall, is a service that runs on the master node that monitors the cluster for unscheduled pods. It does this by checking for a property called nodeName on a created Pods definition.…

The Kubernetes Series - Deployments, Pods and ReplicaSets

Rik Nieu on docker, kubernetes, pods, ReplicaSet, ReplicaController, Deployments, YAML | 04 Dec 2019

ReplicationSets and/or Replication Controllers are processes that ensure that a certain number of identical pods are always running on your cluster. If a pod fails the ReplicationSet or Replication Controller will remove it and replace it with a new one.…

The Kubernetes Series - The Worker Nodes

Rik Nieu on docker, kubernetes, worker node, kubelet, kube-proxy, pods | 03 Dec 2019

As mentioned in the first Kubernetes post in this series, the Worker nodes have two Kubernetes Cluster Control Plane processes running on them that help them stay coordinated with the Master node and cluster as a whole; Kubelet and Kube-proxy.…

The Kubernetes Series - The Master Node

Rik Nieu on docker, kubernetes, master node, microservices | 03 Dec 2019

The Master node is usually a single node in your cluster that orchestrates the whole shebang. It consists of 3 processes - the Kube-Api-Server, the Kube-Control-Manager and the Kube-scheduler.…

The Kubernetes Series - Introduction

Rik Nieu on kubernetes, master node, worker node, docker | 02 Dec 2019

The speed and ease the deployment that containers quickly resulted in the need for a way to manage state between different containers, to scale deployments dynamically and remove and replace containers that started acting up.…

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