TasksTracker.ContainerApps
keda
| TasksTracker.ContainerApps | keda | |
|---|---|---|
| 1 | 91 | |
| 40 | 7,791 | |
| - | 1.4% | |
| 10.0 | 9.5 | |
| over 1 year ago | about 6 hours ago | |
| C# | 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.
TasksTracker.ContainerApps
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Practical Azure Container Apps with Dapr
Complete practical example on my blog. The source code is available on GitHub.
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?
iot-with-dapr-actors - Example of how you can build IoT solutions that have custom device gateways that are using Dapr Actors to represent devices in the field.
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
coolstore-microservices - A full-stack .NET microservices build on Dapr and Tye
argo - Workflow Engine for Kubernetes
dapr-demo - Distributed application runtime demo with ASP.NET Core, Apache Kafka and Redis on Kubernetes cluster.
istio - Connect, secure, control, and observe services.
azure-container-apps-samples - A collection of Azure Container Apps samples
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
k3d-dapr-example - An example repository showing how DAPR can be used for communication (pubsub and service invocation) in microservice architectures in Kubernetes.
helm - The Kubernetes Package Manager
envoy - Cloud-native high-performance edge/middle/service proxy
http-add-on - Add-on for KEDA to scale HTTP workloads