scaling

Kubernetes: HorizontalPodAutoscaler evaluation based on Prometheus metric

HorizontalPodAutoscaler (HPA) allow you to dynamically scale the replica count of your Deployment based on basic CPU/memory resource metrics from the metrics-server.  If you want scaling based on more advanced scenarios and you are already using the Prometheus stack, the prometheus-adapter provides this enhancement. The prometheus-adapter takes basic Prometheus metrics, and then synthesizes custom API Kubernetes: HorizontalPodAutoscaler evaluation based on Prometheus metric

CloudFoundry: Scaling the spring-music webapp, Part 3

Cloud Foundry is an opinionated Platform-as-a-Service that allows you to manage applications at scale.  This article is part of a series that explores different facets of a Cloud Foundry deployment using the spring-music project as an example. This article is Part 3 of  a series on Cloud Foundry concepts: Deploying the spring-music webapp, Part 1 Persisting CloudFoundry: Scaling the spring-music webapp, Part 3

ELK: Scaling an ElasticSearch Cluster

The heart of the ELK stack is Elasticsearch.  In order to provide high availability and scalability, it needs to be deployed as a cluster with master and data nodes.  The Elasticsearch cluster is responsible for both indexing incoming data as well as searches against that indexed data. Resources As described in the documentation, if there ELK: Scaling an ElasticSearch Cluster