redis-celery-kubernetes-keda
keda
Our great sponsors
| redis-celery-kubernetes-keda | keda | |
|---|---|---|
| 1 | 91 | |
| 7 | 7,729 | |
| - | 2.5% | |
| 3.2 | 9.5 | |
| about 3 years ago | 5 days ago | |
| Go | Go | |
| - | 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.
redis-celery-kubernetes-keda
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Autoscaling Redis applications on Kubernetes 🚀🚀
git clone https://github.com/abhirockzz/redis-celery-kubernetes-keda cd redis-celery-kubernetes-keda
keda
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Ask HN: What's the right way to scale K8s for GPU workloads?
It seems you want something like KEDA (https://keda.sh)
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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/
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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.
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Five tools to add to your K8s cluster
Keda
- K8s latencies in chained services - Using RL?
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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).
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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
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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.
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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?
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
argo - Workflow Engine for Kubernetes
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
istio - Connect, secure, control, and observe services.
kubernetes - Production-Grade Container Scheduling and Management
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
kedahttp - kedahttp implements a prototype of auto-scaling containers using Kubernetes and KEDA
helm - The Kubernetes Package Manager
virtual-kubelet - Virtual Kubelet is an open source Kubernetes kubelet implementation.
http-add-on - Add-on for KEDA to scale HTTP workloads