featbit
Kubernetes-Volume-Autoscaler
featbit | Kubernetes-Volume-Autoscaler | |
---|---|---|
58 | 16 | |
1,355 | 248 | |
1.6% | 1.2% | |
9.1 | 7.1 | |
5 days ago | 7 months ago | |
C# | Python | |
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.
featbit
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How to implement feature flags
Feature flags, also known as feature toggles, have become an essential tool for modern software development. They enable developers to control the release of new features and updates in a flexible and controlled manner. In this blog post, we'll explore what feature flags are, their classical and modern use cases, and how to implement them effectively in front-end, mobile, and server-side applications. We'll also delve into the concept of overlapping design A/B testing and how feature flags play a crucial role in building robust experimentation.
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Anyone here who is interested in contributing to a simple GitHub asp.net core project issue?
Here's our issue link: [Good First Issues]: Configuring Serilog through appsettings.json file · Issue #520 · featbit/featbit (github.com)
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FeatBit 2.0 - an open-source feature flags management service developed in .NET
featbit/featbit: A scalable, fast and 100% open-source feature flag tool written in C# .NET (github.com)
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Efficiently Release Features and Rollback Instantly with Seamless Operations
You can find the tool at: https://github.com/featbit/featbit
- I made an open source developer tool that can help you release your app faster and without risks
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Safely Ship Code with a New Open-Source Feature Flag DevOps Tool
Hi everyone, I wanted to introduce a new open-source feature flag management tool that we recently discovered and implemented in our production environment. You can find the tool at: https://github.com/featbit/featbit We tested several other tools, but what convinced us to choose this particular tool were the following reasons: 1. It offers all the necessary functionalities we require. Additionally, it seems that they continue to open-source additional functions that other tools don't provide, such as Audit Logs, Reusable Segments, Permission Control, and even Single Sign-On (SSO) in the future. 2. I joined their community, and I found the core team to be friendly and responsive (perhaps because they are relatively new). 3. The tool is developed using a programming language that aligns well with our daily work. 4. Although they open-sourced the project only 7 months ago, they have been working on its development for two years. 5. It is licensed under the MIT license. I thought it would be helpful to share this tool here for anyone who may need it or wants to add it to your wishing list. Enjoy!
- Introducing an Open-Source Developer Tool for Safe Feature Releases in Internet Applications
- A feature flag management dev tool that accelerates your feature releases with minimal risk.
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An Open-Source Dev Tool: Safely Release Features and Conduct TIP and Canary Testing with Ease
It's MIT for those interested in such things
Kubernetes-Volume-Autoscaler
- Toyota blames factory shutdown in Japan on ‘insufficient disk space’
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[AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload
Additionally if you don't know, Kubernetes freshly setup, especially AWS's EKS is largely useless after you first set it up. You need to then install roughly a dozen other services into it to make it "do all the magic automatically". Services such as aws-ebs-csi-driver, (optional) aws-efs-csi-driver, (optional) aws-fsx-csi-driver, aws-load-balancer-controller, (optional) aws-node-termination-handler, cluster-autoscaler, (optional) external-dns, logs cascading engine (eg: fluentd-elasticsearch / fluent-bit-elasticsearch / datadog), grafana, prometheus, your ingress controller of choice (I prefer and recommend ingress-nginx), and the Kubernetes Volume Autoscaler to auto-scale up EBS volumes. (shameless plug: I wrote the volume-autoscaler)
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Monitoring many cluster k8s
Shameless Plug: Here's one of my dashboards I made for Ingress-Nginx, which is my recommended border router/gateway into all the services. It adds deep robust metrics and configurability, and if you've got years of experience with Nginx also, it allows you rich complex customization via nginx's configuration structure via kubernetes annotations. Besides that I have open-source helm charts which are easy to use, boilerplates showing how to use them, a volume autoscaler to automatically resize your disks as they get full, and a blog where I share various of my experience which is a companion blog to my upcoming book of the same name. Hope this helps! Feel free to ask if you have any further questions.
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QUESTION: What is the best way to learn kubernetes?
Do not waste your timesetting up your own Kubernetes cluster; use any cloud provider's fully managed Kubernetes cluster, and then learn how to configure everything on it to do everything you want. Typically, there are anywhere between 10-30 foundational services you'll want to install on it to make everything work. Things such as Cluster-Autoscaler, an ingress controller, a mesh network technology, various CSI volume provisioners, a runner for your chosen CI/CD platform, a disk volume autoscaler (shameless plug I wrote this) etc. Learn to deploy Helm charts on it, and learn to deploy some of your services onto it, exposing them to the internet. Learn to install and use Prometheus and Grafana on it to get in-depth metrics and visualization. Learn how to use Prometheus Alertmanager to trigger alerts to your email, webhooks, slack, etc. There's a lot to learn, and it may feel intimidating, but get the ball rolling and incrementally improve/expand your experience.
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How do you guys on Mac M1's get around the annoying port forwarding issues with k8s + docker?
References: I use docker and Kubernetes daily. I currently manage numerous clusters and maintain pipelines for hundreds of microservices as I type this. I've been converting microservices into Docker images for companies hundreds if not thousands of times by now over the last bunches of years. I am also an avid and passionate open-source evangelist and Kubernetes/DevOps consultant. I author some Kubernetes controllers such as the Volume Autoscaler and have a set of Open Source Helm Charts and I love to contribute code/fixes wherever I run into issues.
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Accessing the Underlying Node
Old justifications for this were to resize drives but all major cloud providers support handling the resizing operation for you now. You still need to trigger the resize. But with a controller like the Kubernetes Volume Autoscaler you don’t even need to do that!
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Monthly 'Shameless Self Promotion' thread - 2023/01
An new open-source Kubernetes controller, the Kubernetes Volume Autoscaler, which auto-resizes your Persistent Volumes when they get almost full
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Monthly 'Shameless Self Promotion' thread - 2022/11
Kubernetes Volume Autoscaler - An Kubernetes Controller to automatically scale up volumes (disks). I just recently released an update based on some feedback, adding Prometheus metrics support and fixing a few bugs
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How do you prevent overprovisioning
Autoscale everything. There’s no over provisioning if it just provisions as needed. HPA and Cluster Autoscaler and for disks I wrote and use the Volume Autoscaler. Nodes disappear as needed and appear as needed. I generally even do spot instances in production. All assuming you are using a cloud provider.
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What are some must-have, can’t-live-without 3rd party apps/tools you have installed in your k8s clusters?
Volume Autoscaler - Automatically scale up your disks size, keeping your costs low and allowing you to grow over time. Also making one less thing your sysops/devops person has to do. (Shameless plug, I wrote this)
What are some alternatives?
FeatureManagement-Dotnet - Microsoft.FeatureManagement provides standardized APIs for enabling feature flags within applications. Utilize this library to secure a consistent experience when developing applications that use patterns such as beta access, rollout, dark deployments, and more.
pvc-autoresizer - Auto-resize PersistentVolumeClaim objects based on Prometheus metrics
sparrowci_web - ci.sparrowhub.io website
Grafana-Dashboards - A variety of open-source Grafana dashboards typically for AWS and Kubernetes
Helm-Chart-Boilerplates - Example implementations of the universal helm charts
SparrowCI - SparrowCI - super fun and flexible CI system with many programming languages support
angular-locales-generator - A handful util to generate or merging, if exists already, locale files for angular projects using @angular/localize package
autoscaler - Autoscaling components for Kubernetes
flagsmith - Open Source Feature Flagging and Remote Config Service. Host on-prem or use our hosted version at https://flagsmith.com/
unleash - Open-source feature management solution built for developers.