ko
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ko | Go Metrics | |
---|---|---|
28 | 3 | |
7,134 | 3,422 | |
3.3% | - | |
9.0 | 0.0 | |
5 days ago | 7 months ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
ko
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Distroless container images with Apko from Chainguard
Apko leverages the APK package format from Alpine and draws inspiration from ko, a fast container image builder for Go applications.
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What is the most common approach to configure a backend app?
- There're many resources available about containerizing an application, but I suggest you buildpacks or ko, which doesn't require writing a Dockerfile
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Tool to build Docker images
ko
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Golang Backend in Production
You don't need to write and manage Dockerfiles. Simply just use ko: https://github.com/google/ko (You also don't need Docker Engine)
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How to containerize your Go app in 10 minutes!
Or don't write a Dockerfile at all, and use ko: https://github.com/google/ko
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Containerd... Do I use Docker to build the container image? I miss the Docker Shim
Here is link number 1 - Previous text "ko"
Pretty much any tool works: docker, podman, kaniko, crane(if you're brave), ko... list goes on.
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`COPY --chmod` reduced the size of my container image by 35%
If you're using Go, I recommend https://github.com/google/ko (shameless plug), or for Java, use Jib.
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`COPY –chmod` reduced the size of my container image by 35%
I would recommend Google Ko if you are packaging Go apps: https://github.com/google/ko
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Building a docker image for a Go programm
Shameless plug for ko: https://github.com/google/ko
Go Metrics
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Sliding Window Implementation for go-metrics
Hello! I'm not sure if anyone else out there has struggled with out of date data in the default exponential decay sampling method in the go-metrics library, but if you have I just open sourced a sliding window implementation that should help ease the pain. More details on the rationale in the README.
- High performance / low overhead metrics/instrumentation library?
What are some alternatives?
kaniko - Build Container Images In Kubernetes
GVM - Go Version Manager
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
metric - Minimal metrics for Go (counter/gauge/histogram). No dependencies. Compatible with expvar. Web UI included.
go-selfupdate - Enable your Go applications to self update
bosun - Time Series Alerting Framework
Gogs - Gogs is a painless self-hosted Git service
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Pomerium - Pomerium is an identity and context-aware reverse proxy for zero-trust access to web applications and services.
kubernetes - Production-Grade Container Scheduling and Management
aptly - aptly - Debian repository management tool
golang-sample-app - Example application with Golang and Docker