dive
kubernetes
Our great sponsors
dive | kubernetes | |
---|---|---|
88 | 650 | |
43,083 | 106,117 | |
- | 1.2% | |
7.0 | 10.0 | |
8 days ago | about 2 hours ago | |
Go | Go | |
MIT License | 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.
dive
-
I reduced the size of my Docker image by 40% – Dockerizing shell scripts
Dive is a great tool for debugging this. I like image reduction work just because it gives me a chance to play with Dive: https://github.com/wagoodman/dive
One easy low hanging fruit I see a LOT for ballooning image sizes is people including the kitchen sink SDK/CLI for their cloud provider (like AWS or GCP), when they really only need 1/100 of that. The full versions of both of these tools are several hundred mb each
- Dive: A tool for exploring a Docker image, layer contents and more
- FLaNK Stack Weekly for 12 September 2023
-
Top 10 CLI Tools for DevOps Teams
Whether you work with Docker regularly or even create your own Docker containers, Dive is a great tool for streamlining image sizes, potentially helping you save storage costs and speed up deployments.
-
Any Way To See The Dockerfile Used To Make An Image On Dockerhub?
If you’re happy to pull the image, then sort of yes. You can either use docker inspect or a tool like dive (https://github.com/wagoodman/dive) to see how each layer was created. This will give you an idea of the Dockerfile.
-
Issues reducing Docker image size when using Gdal and Pycurl with a multistage build?
Also, check out dive. It is an amazing tool for examining containers and find your size issues.
Did you try using dive ? It allows you to see each layer, so you can see the files that are added
-
Tips for reducing Docker image size
I like this tool: https://github.com/wagoodman/dive
-
Nix Service - Using the shipyard private crate registry with Docker
Also do I get shiny flair for https://github.com/wagoodman/dive/pull/443? Perhaps "Void shouter"?
-
Docker image size problems. This is driving me insane.
This tool is really useful for showing the size of each layer, making it obvious which layer is blowing up your image size: https://github.com/wagoodman/dive
kubernetes
-
Open Source Ascendant: The Transformation of Software Development in 2024
Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.
-
Open source at Fastly is getting opener
Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).
-
Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP
In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.
-
The 2024 Web Hosting Report
The single most important development in hosting since the invention of EC2 is defined by its own 3-letter acronym: k8s. Kubernetes has won the “container orchestrator” space, becoming the default way that teams across industries are managing their compute nodes and scheduling their workloads, from data pipelines to web services.
-
The Road To Kubernetes: How Older Technologies Add Up
Kubernetes was first released on September 9, 2014. This release timeline is part of what helped it gain a foothold over Docker Swarm. It was an open source version of an internal Google project. Features of container orchestration were presented in a more modular fashion along with scaling functionality. You can chose how your networking stack works, your load balancing, container runtime, and filesystem interfaces. Availability of an API allowed for more programmatic interactions with orchestration, making it tie in very well with CI/CD solutions. However, the big issue it has is complexity of setup. Putting together a Kubernetes cluster with basic functionality is certainly no easy feat.
-
Deploying flask app to Kubernetes using Minikube
Kubernetes manages the deployment, scaling, and operation of containerized applications across a cluster of machines. Kubernetes relies on tools such as container runtimes like Docker, to run the containers.
-
Oasis – a small, statically-linked Linux system
If you go by version number and anything < 1.0 being not production ready, I recommend avoiding reading any of the dependency files for large software products which are often used in produciton, they might cause you some concern...
https://github.com/kubernetes/kubernetes/blob/master/go.mod for one obvious example.
-
Fun with Avatars: Containerize the app for deployment & distribution | Part. 2
Container Orchestration tools: These are used to automate the deployment, scaling, monitoring, and management of containerized applications. These tools simplify the complexities of managing and coordinating containers across a cluster of machines. They include Kubernetes, Docker Swarm, Amazon ECS, Microsoft AKS, Google Kubernetes Engine (GKE), etc.
-
Exploring OpenShift with CRC
OpenShift Container Platform (OCP), otherwise known as just OpenShift, is a comprehensive, feature-complete enterprise PaaS offering by Red Hat built on top of Kubernetes, available both as a fully managed service on popular public cloud platforms such as AWS (ROSA) and as an internal developer platform (IDP) to be deployed on-premises on existing private cloud infrastructure, as VMs or on bare metal.
-
Why bad scientific code beats code following "best practices"
There are some things that should be in one long function (or method).
Consider dealing with the output of a (lexical) tokeniser. It is much easier to maintain a massive switch statement (or a bunch of ifs/elseifs) to handle each token, with calls to other functions to do the actual processing, such that each case is just a token and a function call. Grouping them in some way not required by the code is an illusory "gain": it hides the complexity of the actual function in a bunch of files you don't look at, when this is not a natural abstraction of the problem at all and when those files introduce extra layers of flow control where tricky bugs can hide. Or see the "PLEASE DO NOT ATTEMPT TO SIMPLIFY THIS CODE" comment from the Kubernetes source[0]. A 300 line function that does one thing and which cannot be usefully divided into smaller units is more maintainable than any alternative. Attempting to break it up will make it worse.
That being said, I agree that nearly all 300 line functions in the wild are not like this.
[0] https://github.com/kubernetes/kubernetes/blob/ec2e767e593953...
What are some alternatives?
Apache ZooKeeper - Apache ZooKeeper
bosun - Time Series Alerting Framework
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
gaia - Build powerful pipelines in any programming language.
consul - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Portainer - Making Docker and Kubernetes management easy.