samples
keda
| samples | keda | |
|---|---|---|
| 1 | 91 | |
| 73 | 7,791 | |
| - | 1.4% | |
| 2.6 | 9.5 | |
| 2 months ago | about 18 hours ago | |
| Go | ||
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
samples
-
Azure Functions running on Kubernetes using Keda
Pretty nice, huh? This is just one example of many other you can try out using Keda. You can check more examples on Keda's github Sample's repository
keda
-
Ask HN: What's the right way to scale K8s for GPU workloads?
It seems you want something like KEDA (https://keda.sh)
-
Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
Most just utilize out of the box macro resources available in HPA.
For more advanced use cases there is keda - https://keda.sh/
-
Root Cause Chronicles: Quivering Queue
Thankfully KEDA operator was already part of the cluster, and all Robin had to do was create a ScaledObject manifest targeting the Dispatch ScaleUp event, based on the rabbitmq_global_messages_received_total metric from Prometheus.
-
Five tools to add to your K8s cluster
Keda
- K8s latencies in chained services - Using RL?
-
Best Kubernetes DevOps Tools: A Comprehensive Guide
KEDA introduces event-driven scaling to Kubernetes workloads. It integrates with Kubernetes Horizontal Pod Autoscalers and can scale pods based on external metrics from services like databases and message queues (Kafka, RabbitMQ, MongoDB).
-
Auto-scaling DynamoDB Streams applications on Kubernetes
# update version 2.8.2 if required kubectl apply -f https://github.com/kedacore/keda/releases/download/v2.8.2/keda-2.8.2.yaml
- KEDA
-
What is the difference in production for scale to zero usecases - Keda vs Lambda ?
This is traditionally a AWS Lambda usecase - or an OpenFaas kind of usecase. But very recently i discovered https://keda.sh/ and it seems it is specifically meant for this in a kubernetes environment.
-
Ingesting Data into OpenSearch using Apache Kafka and Go
If you deploy the application to Amazon EKS, you can also consider using KEDA to auto-scale your consumer application based on the number of messages in the MSK topic.
What are some alternatives?
azure-functions-core-tools - Command line tools for Azure Functions
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
python-function-servicebus-keda - A simple sample using Python functions and autoscaling with Keda.
argo - Workflow Engine for Kubernetes
istio - Connect, secure, control, and observe services.
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
helm - The Kubernetes Package Manager
http-add-on - Add-on for KEDA to scale HTTP workloads
another-autoscaler - Another Autoscaler is a Kubernetes controller that automatically starts, stops, or restarts pods from a deployment at a specified time using a cron expression.
argo-cd - Declarative Continuous Deployment for Kubernetes
prometheus - The Prometheus monitoring system and time series database.
autoscaler - Autoscaling components for Kubernetes