Autoscaler on OpenShift Dedicated


At the time of writing, OpenShift dedicated (v3.5.5.31) only supports autoscaling based on the CPU metrics. So the first step is to ensure the CPU request is in place. It can be setup in the section of container spec. e.g spec: containers: image: 'poc/web' name: my-web ports: - containerPort: 3000 resources: requests: cpu: 200m limits: … Continue reading Autoscaler on OpenShift Dedicated

Resources QoS in Kubernetes


I extracted a few points to grasp the rough idea of how Kubernetes manages resources QoS: Pods that need to stay up reliably can request guaranteed resources, while pods with less stringent requirements can use resources with weaker or no guarantee. If a pod is successfully scheduled, the container is guaranteed the amount of resources … Continue reading Resources QoS in Kubernetes

Huggies – AWS Elastic Beanstalk Automation Tool


Huggies is a side project that I started when working for the NAPI team which pronounced as ['næpɪ], and that is why I named it as Huggies 😉 The team's environments are mostly on AWS Elastic Beanstalk. In general, Elastic Beanstalk is a good tool as it abstracts the complexicity of managing Elastic Load Balancer, … Continue reading Huggies – AWS Elastic Beanstalk Automation Tool

Run Elasticsearch Cluster on Spot Instances


Running Elasticsearch cluster is not cheap, as it generally requires a couple of high spec servers to provides both performances and reliabilities. Below is a typical 3 nodes Elasticsearch cluster that is running on AWS: 3 nodes, one in each availability zone. each node is both master and data node, and it is formed by ec2 … Continue reading Run Elasticsearch Cluster on Spot Instances