charts
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keda
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charts | keda | |
---|---|---|
25 | 70 | |
15,373 | 6,134 | |
- | 2.0% | |
2.1 | 9.3 | |
about 1 year ago | 1 day 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.
charts
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K8S - using Prometheus to monitor another prometheus instance in secure way
I've installed Prometheus operator 0.34 (which works as expected) on cluster A (main prom)Now I want to use the federation option,I mean collect metrics from other Prometheus which is located on other K8S cluster B
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How to silence Prometheus Alertmanager using config files?
I'm using the official stable/prometheus-operator chart do deploy Prometheus with helm.
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Prometheus Definitive Guide Part III - Prometheus Operator
Enter the default username: admin and password: prom-operator which you can find from here to access Grafana.
- Multipass, Microk8s, Prometheus and Grafana
- ECS migrate to EKS part 3
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Deploying Jenkins on Google Cloud
In this step opta generates terraform code to deploys helm chart. You can review the plan and accept it. It will take around 2-3 minutes for the plan to get applied. For specifying values to the helm chart you can modify the values inside opta-gcp/opta.yml . Refer to jenkins helm chart for more details https://github.com/helm/charts/tree/master/stable/jenkins. After opta apply finishes you will have jenkins up and running on your infra.
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k8s-secretgen: Got tired of generating secrets for testing stuff so I made a script to automate it.
I do use Helm to deploy, but the trouble with using it for secrets is that it overwrites them on an upgrade.
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My Journey With Spark On Kubernetes... In Python (1/3)
In this section, you use Helm to deploy the Kubernetes Operator for Apache Spark from the incubator Chart repository. Helm is a package manager you can use to configure and deploy Kubernetes apps.
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Autoscaling Redis applications on Kubernetes 🚀🚀
Redis: I have used Azure Cache for Redis, but feel free to explore other options e.g. you can install one in your Kubernetes cluster using a Helm chart).
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How to Monitor your Azure Kubernetes Cluster
To install Prometheus, the most convenient way is using the Prometheus Operator Helm Chart. Helm is a package manager for Kubernetes. It simplifies the installation by integrating most of the necessary configuration settings into one package. The following instructions are based on a blog post which describes the installation process specific for AKS clusters.
keda
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Demonstrating auto scaling with Docker and or Kubernetes for my Thesis
Maybe KEDA? https://keda.sh/
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
The HPA will use by default only basic metrics like CPU and memory. If you implement your own metrics, you might want to switch the autoscaling to use those metrics instead. To achieve this, the most recommended tool would be to rely on the KEDA controller. This grants you more advanced options for horizontal autoscaling. To use it, you should install it via Helm, and then you can use it by replacing the HorizontalPodAutoscaler object with their ScaledObject custom object.
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Episode 118: myNewsWrap – SAP and Microsoft
New Release: KEDA 2.8.2
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Any open source controller that automatically scales down pod requests based on usage?
i highly recommend keda for this. https://keda.sh/
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Episode 114: myNewsWrap – SAP and Microsoft
Quite some stuff in the new release: KEDA 2.9.0
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Run event-driven workflows with Amazon EKS Blueprints, Keda and Karpenter
This post demonstrates a proof-of-concept implementation that uses Kubernetes to execute code in response to an event here is API request. The workflow is powered by Keda (Kubernetes Event-driven Autoscaling) which scales out the kubernetes pods bases on incoming events such as SQS messages. After keda scaleout pods which are in pending state, Karpenter (Just-in-time Nodes for Any Kubernetes Cluster) bases on provisioners to decide scaleout more nodes
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Improving Developer Productivity at Disney with Serverless and Open Source
Dynamically scaling your containers is getting easier every day when using something like KEDA. I use Pulsar and there's a Pulsar scaler for it in addition to Kafka, Kinesis, Prometheus metrics, etc.
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Kubernetes Costs: Effective Cost Optimization Strategies To Reduce Your k8s Bill
HPA is more commonly used and is the preferred option for situations with a sudden increase in resource usage. KEDA.sh can help flexibly autoscale the application based on custom metrics, like the size of a queue or number of network requests.
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One multi-container deployment vs. a separate deployment for each image?
Practically, you'll be replacing stock k8s resources (deployments) with custom ones like Argo Rollouts with Keda autoscaling, so you have to plan the respective Gitops CD pipeline (fluxcd/argocd with some crossplane), as well.
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Practical Azure Container Apps with Dapr
Azure Container Apps is built upon the foundation consisting of open-source technology with CNCF projects like Kubernetes Event-Driven Autoscaling (KEDA), Distributed Application Runtime (Dapr), and Envoy running on the Azure Kubernetes Service (AKS).
What are some alternatives?
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
argo - Workflow engine for Kubernetes
istio - Connect, secure, control, and observe services.
karpenter - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
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.
helm - The Kubernetes Package Manager
kubernetes-mixin - A set of Grafana dashboards and Prometheus alerts for Kubernetes.
http-add-on - Add-on for KEDA to scale HTTP workloads
prometheus - The Prometheus monitoring system and time series database.
external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services
kubernetes - Production-Grade Container Scheduling and Management
autoscaler - Autoscaling components for Kubernetes