kubetail VS skaffold

There is an existing project named kubetail, which is quite popular 3.2K starts https://github.com/johanhaleby/kubetail

Kubetail

Thanos - Highly available Prometheus setup with long term storage capabilities. CNCF Sandbox project. https://thanos.io Prometheus - The Prometheus monitoring system and time series database. Grafana - The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More Kubetail - Bash script to tail Kubernetes logs from multiple pods at the same time Searchlight - Alerts for Kubernetes linkerd2 Monitoring Mixin for Grafana - Grafana dashboards for linkerd2 monitoring and can work in standalone (default) or in multi cluster setup kuberhaus - Kubernetes resource dashboard with node/pod layout and resource requests Kubernetes Job/CronJob Notifier - This tool sends an alert to slack whenever there is a Kubernetes cronJob/Job failure/success Argus - This tool monitors changes in the filesystem on specified paths

Kubetail is really nice: https://github.com/johanhaleby/kubetail.

Is this the gui version of kubetail?

A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.

While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)

I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!

Kudos to the Google team building it! https://skaffold.dev

To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.

We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.

To add more context, if you are developing containers in a local dev environment, the minimum you should have is the Google Cloud SDK and Skaffold. The SDK will allow you to programmatically interact with Googleapis e.g. auth, services, resources. Skaffold will allow you to build and deploy to the cloud similar to working with a local dev environment.

I have used both Skaffold and Devspace. I prefer the latter.

I wonder if it has some overlap with https://skaffold.dev/.

K3d and Skaffold for local development

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