kedacore/keda

Use predictive analytics to activate a pod

Open

#197 opened on May 15, 2019

View on GitHubContributor guide
 (7 comments) (8 reactions) (0 assignees)Go (1,457 forks)auto 404
Epichelp wantedstale-bot-ignore

Repository metrics

Stars
 (10,372 stars)
PR merge metrics
 (PR metrics pending)

Description

A very “blue sky” feature but would be amazing to have KEDA look at historic data and patterns for deployments to try to predict when events may be coming in and scale proactively

Contributor guide

Research direction
Investigate existing predictive scaling methods in Kubernetes, evaluate ML models for workload prediction, design a proposal for KEDA to incorporate predictive analytics, and discuss with maintainers.
Tech stack
go
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Unclear
Prerequisites
GoKubernetes
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20