google.cloud
kubernetes
Our great sponsors
google.cloud | kubernetes | |
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71 | 651 | |
93 | 106,117 | |
- | 1.2% | |
7.3 | 10.0 | |
6 days ago | about 10 hours ago | |
Python | Go | |
GNU General Public License v3.0 only | 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.
google.cloud
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Stadia’s pivot to a cloud service has also been shut down
If you're talking general cloud services, Google still does plenty of that. Stadia was being turned into a specific streaming thing that's now also dead, but that's separate from the rest of their cloud stuff.
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Deploying a MERN App to AWS Elastic Beanstalk with CI/CD
If you haven't been living under a rock, you've probably heard of AWS. It is an abbreviation for Amazon Web Services. AWS (by Amazon) offers a wide range of cloud computing services, such as computing, storage, database, analytics, machine learning, networking, mobile, developer tools, security, and enterprise applications. for all of your requirements, eliminating the need for you to set up your own servers. It provides a flexible and scalable infrastructure that can be tailored to each user's unique requirements, and it is widely regarded as one of the leading cloud platforms available today. Google Cloud (by Google) and Azure (by Microsoft) are both major competitors to AWS.
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2023 Development Tool Map
https://cloud.google.com/docs/overview
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Vercel vs Netlify: Battle of the Jamstack Giants
Netlify and Vercel are multi-cloud platforms, meaning they equally employ GCP and AWS for their infrastructure.
- Microsoft announces new A.I.-powered Bing homepage that you can chat with
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I created a free web app to track your house build decisions in a single place with notes, photos and a product list
In terms of the technical setup: The backend & database is built Firebase (https://firebase.google.com/), a product by Google which is backed by Google Cloud Platform (https://cloud.google.com/). The frontend app is built using React (https://reactjs.org/) and deployed to Vercel (https://vercel.com)
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Big Query
Go to the google cloud platform Click here
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Automating Content Creation with Python: A Guide to Building a Twitch Highlights Bot (Part 1)
Youtube API/ Google Cloud - The YouTube API is a specific API that allows developers to interact with YouTube. Google Cloud refers to the broader suite of cloud computing services offered by Google. The bot is using the YouTube API to upload the final video compilation to YouTube. One must set up a Google Cloud project to use the Youtube API.
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
Many businesses and companies are moving and transitioning their entire operations to the cloud to escape headaches associated with hardware breakdowns and regular software updates (as we mentioned earlier). Because of this, companies only have to pay for the resources that they really use, and they can scale their servers to meet any demand. Cloud service providers also provide several different kinds of services to manage large amounts of data and ease the process of storing and processing data, making the entire process much more manageable. According to a Gartner cloud computing infrastructure ranking, the top three cloud platform providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
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Set up a Svelte todo list on self-hosted Supabase + Email sign up + Google, Facebook Auth + host on GitHub pages
First, go to https://cloud.google.com/, Sign in to google if not already, and then click console. It will prompt you to accept the terms of service.
kubernetes
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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.
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.