karpenter-provider-aws
kaniko
karpenter-provider-aws | kaniko | |
---|---|---|
47 | 49 | |
5,902 | 13,955 | |
3.1% | 1.6% | |
9.9 | 9.5 | |
4 days ago | 12 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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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.
karpenter-provider-aws
- Karpenter
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Stress testing Karpenter with EKS and Qovery
If you’re not familiar with Karpenter — watch my quick intro. But in a nutshell, Karpenter is a better node autoscaler for Kubernetes (say goodbye to wasted compute resources). It is open-source and built by the AWS team. Qovery is an Internal Developer Platform I’m a co-founder) that we’ll use to spin up our EKS cluster with Karpenter.
- Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
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Five tools to add to your K8s cluster
Karpenter
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Architecting for Resilience: Crafting Opinionated EKS Clusters with Karpenter & Cilium Cluster Mesh — Part 1
Here are a few reference links about the previous services and tools: What is Amazon EKS? Cluster Mesh Karpenter
- Scaling with Karpenter and Empty Pod(A.k.a Overprovisioning)
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Reducing Cloud Costs on Kubernetes Dev Envs
Autoscaling over EKS can be accomplished using either the cluster-autoscaler project or Karpenter. If you want to use Spot instances, consider using Karpenter, as it has better integrations with AWS for optimizing spot pricing and availability, minimizing interruptions, and falling back to on-demand nodes if no spot instances are available.
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Help required
Kubernetes has its own learning curve, but when tools like Karpenter exist it's kinda hard to beat for "auto-scaled compute" that is vendor agnostic. We leverage Karpenter for burst in our vSphere environment as well as our EC2 environment. Karpenter is invoking roughly the same Terraform code in both cases, just using different modules for the particular virtualization. Say we want to go to Azure and GCP -- we add an Azure and GCP module to the same Terraform codebase, and not much else needs to change from the "scale up / scale down" perspective.
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Workload Operator. What do you think?
Also https://github.com/aws/karpenter/issues/331
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Running Airflow task intensive Dags on Fargate.
Why don't you stick to the KubernetesPodOperator though? I fail to see a benefit in using the ECS operator considering you're already running Airflow in EKS. You can look into something like karpenter to manage your nodes.
kaniko
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Using AKS for hosting ADO agent and using it to build and test as containers
If all you need to do is build container, you can use https://github.com/GoogleContainerTools/kaniko
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
Kaniko for building the container images
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Container and image vocabulary
kaniko
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EKs 1.24 Docker issue
You should maybe look into Kaniko or use some other build tool
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Schedule on Least Utilized Node
If you are using the docker socket just for building container images, you might want to look into kaniko. It doesn't use docker to build images. If you use the socket also for starting containers (we are actually doing that in our CI pipelines), you could think about limiting the pods Kubernetes schedules on a node (you can change the default of 110 using the kubelet config file).
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Are there tools you can use to improve your docker containers like Docker Slim?
Check out Kaniko for building containers https://github.com/GoogleContainerTools/kaniko . Only issue is it doesnt support windows containers.
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You should use the OpenSSF Scorecard
It took less than 5 minutes to install. It quickly analysed the repo and identified easy ways to make the project more secure. Priya Wadhwa, Kaniko
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Run Docker from within AWS Lambda?
I'd suggest to take a look at the Kaniko project, combined with custom container images in Lambda functions.
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Faster Docker image builds in Cloud Build with layer caching
kaniko is a tool that allows you to build container images inside Kubernetes without the need for the Docker daemon. Effectively, it allows you to build Docker images without docker build.
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Switching from docker-compose to k3s - what is needed ?
Kubernetes prefers to pull containers from registries. You may be able to work around it by specifying a local image in your Kube manifest. Both https://github.com/GoogleContainerTools/kaniko and/ or https://www.devspace.sh/ may help.
What are some alternatives?
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
podman - Podman: A tool for managing OCI containers and pods.
autoscaler - Autoscaling components for Kubernetes
buildah - A tool that facilitates building OCI images.
bedrock - Automation for Production Kubernetes Clusters with a GitOps Workflow
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
karpenterwebsite
jib - 🏗 Build container images for your Java applications.
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
camel-k - Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
skopeo - Work with remote images registries - retrieving information, images, signing content