kubectl-debug
keda
kubectl-debug | keda | |
---|---|---|
3 | 91 | |
2,288 | 7,859 | |
- | 2.7% | |
0.0 | 9.5 | |
7 months ago | 5 days ago | |
Go | 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.
kubectl-debug
-
What are some useful Kubernetes tools you can share?
I’ve used kubectl-debug quite a bit ( https://github.com/aylei/kubectl-debug ), although there might be better ways of doing it nowadays.
-
Top 200 Kubernetes Tools for DevOps Engineer Like You
Kubectl-debug - Allows you to run a new container with all the troubleshooting tools installed in running pod for debugging purpose PowerfulSeal - A powerful testing tool for Kubernetes clusters Crash-diagnostic - Crash-Diagnostics is a tool to help investigate, analyze, and troubleshoot unresponsive or crashed Kubernetes clusters K9s - Kubernetes CLI To Manage Your Clusters In Style! Kubernetes CLI Plugin - Doctor - kubectl cluster triage plugin for k8s - 🏥 (brew doctor equivalent) Knative Inspect - A light-weight debugging tool for Knative's system components Kubeman - To find information from Kubernetes clusters, and to investigate issues related to Kubernetes and Istio kpexec - kpexec is a kubernetes cli that runs commands in a container with high privileges
-
Top 20 useful k8s tools
Link : https://github.com/aylei/kubectl-debug
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?
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
krew - 📦 Find and install kubectl plugins
argo - Workflow Engine for Kubernetes
ktunnel - A cli that exposes your local resources to kubernetes
istio - Connect, secure, control, and observe services.
kubectl-trace - Schedule bpftrace programs on your kubernetes cluster using the kubectl
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
kubesess - Kubectl plugin managing sessions
helm - The Kubernetes Package Manager
popeye - 👀 A Kubernetes cluster resource sanitizer
http-add-on - Add-on for KEDA to scale HTTP workloads