k3d-nfs-dynamic-volumes
keda
k3d-nfs-dynamic-volumes | keda | |
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1 | 91 | |
0 | 7,791 | |
- | 1.4% | |
10.0 | 9.5 | |
over 3 years ago | about 20 hours ago | |
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.
k3d-nfs-dynamic-volumes
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
Now, for the purposes of this article, in case you don't have an NFS server available, we will use a simple NFS Server Provisioner, which we'll use only for example purposes. As mentioned before, using a managed solution from a cloud provider or a properly configured HA NFS server in your infrastructure is highly recommended. We'll install not the most up-to-date solution, but it should work for example purposes. We will follow the Quickstart found in the repo, mixed with this repo which does some small tweaks to make it work with K3d, which is summarized in the following commands run from the helm folder:
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?
argo-cd - Declarative Continuous Deployment for Kubernetes
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
autoscaler - Autoscaling components for Kubernetes
argo - Workflow Engine for Kubernetes
strapi-k8s-blog-post - All resources for the blog post titled "How to Deploy and Scale Strapi on a Kubernetes Cluster"
istio - Connect, secure, control, and observe services.
falco - Cloud Native Runtime Security
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
rook - Storage Orchestration for Kubernetes
helm - The Kubernetes Package Manager
jaeger - CNCF Jaeger, a Distributed Tracing Platform
http-add-on - Add-on for KEDA to scale HTTP workloads