Autoscaling

14 items tagged with "autoscaling"

Filter by type:

Anti-Patterns3

Pets vs Cattle (Pet Servers)

Treating individual servers as irreplaceable pets that are named, nurtured, and manually healed, instead of disposable cattle that are replaced on failure.

Anti-Pattern

Over-Provisioning

Allocating far more compute, memory, or capacity than workloads need, wasting money for headroom that is rarely used.

Anti-Pattern

Under-Provisioning

Allocating too little capacity to save money, leaving workloads starved so they slow down, fail, or fall over under load.

Tutorials5

Tutorial

How to autoscale pods with the Kubernetes HorizontalPodAutoscaler

Scale a Deployment automatically on CPU or custom metrics using the HorizontalPodAutoscaler and metrics-server.

Tutorial

How to autoscale Kubernetes nodes with the Cluster Autoscaler

Add and remove nodes automatically based on pending pods using the Cluster Autoscaler on a managed cluster.

Tutorial

How to deploy a container to Google Cloud Run

Containerize an app and deploy it to Google Cloud Run for autoscaling, request-billed serverless hosting.

Tutorial

How to configure EC2 Auto Scaling groups on AWS

Set up an EC2 Auto Scaling group with a launch template, target tracking policies, and health checks.

Tutorial

How to deploy a serverless container with Azure Container Apps

Deploy a containerized service to Azure Container Apps with scale-to-zero, ingress, and revision-based updates.

Products1

Product

Neon

Serverless PostgreSQL with autoscaling

Stacks1

Stack

Knative Serverless Containers Stack

Kubernetes-based serverless stack using Knative for scale-to-zero, request-driven container workloads with event-driven autoscaling.

Benchmarks1

Benchmark

Autoscaling Responsiveness Benchmark

Measures how quickly and accurately an autoscaler adds or removes capacity in response to load changes, including reaction time, overshoot, and stabilization.

FAQs1

FAQ

What is autoscaling in the cloud?

Autoscaling automatically adjusts the number of running resources, such as virtual machines, containers, or pods, in response to demand or defined met...

Glossaries2

Glossary

Elasticity

Elasticity is the ability of a cloud system to automatically add or remove computing resources in response to changing demand, so capacity tracks load in near real time.

Glossary

Autoscaling

Autoscaling is the automatic adjustment of the number of running compute instances or resources based on demand, metrics, or schedules, without manual intervention.