kedacore/keda
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes observed · 2026-08-28
Health v2 · maintenance only
94/100
- Activity 99
- Release rhythm 83
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 39
- age_days: 2759
- days_rel: 33
- days_push: 7
- n_releases_24m: 14
Adoption not part of the score
10471 stars · 1491 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
KEDA is a Kubernetes-based event-driven autoscaler that scales any container workload based on the number of events needing processing, using a dedicated custom resource definition and 70+ built-in scalers. It acts as a Kubernetes Metrics Server, integrates with the Horizontal Pod Autoscaler, and supports scaling to and from zero.
Use cases
- scale kubernetes deployments based on kafka queue depth
- autoscale pods to zero when there is no traffic
- scale workers based on rabbitmq or aws sqs queue length
- event-driven autoscaling for kubernetes jobs
- run and scale azure functions on kubernetes
- replace manual hpa configuration with event-based scaling rules
When to choose
- you need fine-grained, event-driven autoscaling including scale-to-zero for kubernetes workloads
- you want to scale based on external event sources like queues, streams, databases, or cloud metrics
- you need a vendor-agnostic scaler supporting many cloud providers and messaging systems
- you want to run azure functions on kubernetes in production
When to avoid
- you only need simple CPU/memory-based autoscaling, which the built-in HPA already handles
- you are not running workloads on kubernetes
- you need full serverless function platforms rather than scaling existing containers
- you cannot add operators or CRDs to your cluster due to policy restrictions
Facets
service · maturity stable
monitoring deployment microservices cloud container-orchestration serverless cloud-computing infrastructure-as-code microservices cloud self-hosted go autoscaling event-driven kubernetes-operator hpa scale-to-zero cncf scalers metrics-server devops containers automation kubernetes docker
10 sources
- readme: https://github.com/kedacore/keda · fetched 2026-08-28 · ba109b6b3ac9
- homepage: https://keda.sh · fetched 2026-08-29 · fe69857916dc
- site_page: https://keda.sh/docs/latest · fetched 2026-08-29 · 60170c75d00e
- site_page: https://keda.sh/docs/latest/deploy · fetched 2026-08-29 · b5e8445eda83
- site_page: https://keda.sh/docs/latest/concepts · fetched 2026-08-29 · 9ca36dca2061
- site_page: https://keda.sh/docs/latest/concepts/scaling-deployments · fetched 2026-08-29 · fdcd842cc805
- site_page: https://keda.sh/docs/latest/concepts/scaling-jobs · fetched 2026-08-29 · b02c4901df92
- site_page: https://keda.sh/docs/latest/concepts/authentication · fetched 2026-08-29 · e15a2e914649
- site_page: https://keda.sh/docs/latest/concepts/external-scalers · fetched 2026-08-29 · 788f60c74508
- site_page: https://keda.sh/docs/latest/concepts/admission-webhooks · fetched 2026-08-29 · 96d45f192e56
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kedacore/keda | main | 94 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem