skaffold
helm
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skaffold | helm | |
---|---|---|
75 | 161 | |
13,660 | 23,498 | |
1.3% | 1.2% | |
9.5 | 7.8 | |
2 days ago | 2 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.
skaffold
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Building a RESTful API With Functions
K3d and Skaffold for local development
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Does anyone else feel like this?
skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch
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Which environments do you use/support?
To access you service your have several options (it depends on teams the preferences) you can use scaffold https://skaffold.dev/ or for simple case kfwd https://github.com/GiGurra/kfwd. Last for everything that is normally expose on internet you would have an Ingress and use external-dns as you would in prod.
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Approaches in Cloud Development Ergonomics
This approach works great when it’s feasible, which is usually at a very early stage in the life of the application where it’s still small and tenable. There’s some tooling that lets you extend this honeymoon phase by letting you do it more easily, like docker-compose, Skaffold, or Tilt. However, at a certain point, even if you’ve written whatever scriptage is needed to actually configure and run the latest stable version of all of your components together, you’re going to hit some sort of ceiling: if you’ve got a large database, or some CPU-heavy computations, or you’re relying on some managed service that can’t be containerized, this approach soon becomes untenable.
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Connecting a local container with a Kubernetes cluster
Another dev optimization is the conditional rebuilding of a container. For example tools like devspace and skaffold support syncing filles which have changes, but which don't require recompiling.
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Best golang framework for microservice
I have been using Skaffold to deploy my apps to Kubernetes. As I use this for spring Boot apps too so it saves me learning another deployment process.
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What are some useful Kubernetes tools you can share?
I really like https://skaffold.dev/ for local development, speeds up repetitive commands I have to run like build/push/apply.
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Docker-compose vs bridge to kubernetes for local development with debugging
You might want to take a look at https://skaffold.dev/
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How to create cloud-native CI/CD Pipelines with Tekton
Because these components are configured as Custom Resource Definitions on Kubernetes, you can create highly reusable pipelines, and Tekton is also compatible with Jenkins, Skaffold, Knative, and other CI/CD tools. Let’s take a look at getting started with Tekton, and start working on building our pipeline.
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Transition to Kubernetes
Lastly if you are using compose to both build and launch containers then you're going to need more advanced tooling like devspace or skaffold to assist in creating a better development workflow for kubernetes.
helm
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Building a RESTful API With Functions
Kubernetes and Helm for deployment
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Replace JupyterHub with a simple FastAPI app to manage notebooks on Kubernetes
What do you mean by stored? The notebooks are deployed on kubernetes using Helm https://helm.sh (1 notebook = 1 Helm release), their configs are stored as Secrets on Kubernetes. If you mean data inside the notebook, one can enable persistence (mount a PersistenVolume into the notebook) (via the Helm values, see https://github.com/machine424/notebook-on-kube#create-connect-to-and-delete-a-notebook).
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App to AKS with Draft and Acorn
Now here's the "gotcha"... you don't need to write Kubernetes manifest files to deploy your app. Instead, you will need to create another type of manifest file named Acornfile. This file is written in JSON-like syntax, feels very similar to a Docker Compose or Helm, and is used to package your application as an Acorn app.
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POLL: How do you orchestrate your provisioning?
https://helm.sh/ (a yaml based package manager used to tell k8s how to run your service)
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Keep Calm! Kubernetes Cluster!! with helm file
Tools Official Links AWS CLI https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html eksctl https://eksctl.io/ helm https://helm.sh/
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Spring WebFlux and gRPC 👋✨💫
Spring web framework Spring WebFlux Reactive REST Services gRPC Java gRPC gRPC-Spring-Boot-Starter gRPC Spring Boot Starter Salesforce Reactive gRPC Salesforce Reactive gRPC Spring Data R2DBC a specification to integrate SQL databases using reactive drivers Zipkin open source, end-to-end distributed tracing Spring Cloud Sleuth autoconfiguration for distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Kubernetes automating deployment, scaling, and management of containerized applications Docker and docker-compose Helm The package manager for Kubernetes Flywaydb for migrations
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AWS WAF vs. open-appsec ML-Based open source WAF
You can automate everything from installation and upgrades to configuration management using simple APIs or declarative infrastructure as code (IaC). For deployment, you can choose from Helm charts, Kubernetes annotations, or Terraform.
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Shhhh... Kubernetes Secrets Are Not Really Secret!
ESO can be installed via Helm using the following commands:
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GKE with Consul Service Mesh
For Kubernetes, experience with deploying applications with service resources is useful, but even if you don’t have this, this guide will walk you through it. Configuring KUBECONFIG to access the Kubernetes cluster with Kubernetes client (kubectl) and using Helm (helm), so familiarity to this is useful.
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ShardingSphere-on-Cloud & Pisanix replace Sidecar for a true cloud-native experience
ShardingSphere-on-Cloud is capable of deploying and migrating ShardingSphere in a Kubernetes environment. With the help of AWS CloudFormation, Helm, Operator, and Terraform (coming soon) and other tools, it provides best practices with quick deployment, higher observability, security and migration, and high availability deployment in a cloud native environment.
What are some alternatives?
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
argo-cd - Declarative continuous deployment for Kubernetes.
crossplane - Cloud Native Control Planes
okteto - Develop your applications directly in your Kubernetes Cluster
telepresence - Local development against a remote Kubernetes or OpenShift cluster
kubespray - Deploy a Production Ready Kubernetes Cluster
krew - 📦 Find and install kubectl plugins
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching. (We are hiring!)
tilt-extensions - Extensions for Tilt
Bazel - a fast, scalable, multi-language and extensible build system
ingress-nginx - Ingress-NGINX Controller for Kubernetes
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.