fission
kubebuilder
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fission | kubebuilder | |
---|---|---|
12 | 45 | |
8,180 | 7,384 | |
1.3% | 1.8% | |
8.0 | 9.2 | |
7 days ago | 6 days ago | |
Go | Go | |
Apache License 2.0 | 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.
fission
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⚡⚡ Level Up Your Cloud Experience with These 7 Open Source Projects 🌩️
Fission
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Questions for Heroku-like Project
This is where I see K8S coming in – teachers can provide dev deployments that are setup for students to learn. Teachers can also provide containers that run automated tests against the student containers for assessment! Plus, we can smooth over some of the git workflow stuff for the ripest of beginners; we can integrate with github to sync their work on our platform to repositories on their github account, so that they can really take ownership of the work they do on the platform. Last, students can graduate their work from development into production very easily, since we can take the base images + student diffs, build a new "prod" image for the student. We can run students' prod work on "serverless" K8S frameworks like fission or OpenFaas to be able to host many low-traffic "production" apps at the same time.
- Does a serverless framework exist to create SaaS apps ?
- Why would someone need serverless infrastructure?
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I'd like to execute a serverless function every time a message is written to a RabbitMQ or Kafka - what's the self-hosted equivalent of AWS Lambda + SNS/SQS or Azure Functions + ASQ/ASB?
I use https://fission.io/ on Kubernetes to emulate AWS Lambda + API Gateway to run Python functions. I use their YAML Spec functionality to deploy functions. It works well for my use case.
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Give your users the power of JavaScript functions with Kubernetes and Fission.io
After doing a lot of research, I ended up settling on the Fission.io framework to support this project. Fission is an open-source Serverless framework running in kubernetes. Think AWS Lambdas, but we are in control of every part of the infrastructure. Kubernetes gives us the power to define the environments the containers will be executed in, and any other resources they need. This gives us the control we need to be able to create our very own environment for executing arbitrary JavaScript through the V8 engine. Each function can be isolated as much as we need to and Fission is really great at giving us the ability to quickly create multiple environments.
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Removing the split stat change does one thing that continues to kill off players.
Nope. I was using https://fission.io/
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8 Serverless Terms Developers Must Know
There are a lot of FaaS service offerings out there namely Lambda, Azure Functions, Google Cloud Functions to name a few. While these offerings run on their respective clouds, there are services like Fission that are open source and allow you to deploy and execute functions on Kubernetes clusters irrespective of where they reside.
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Serverless : Exécuter ses containers directement comme des fonctions avec Fission et Rancher RKE2 …
Fission
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Self hosted vercel alternative ?
It's super slow (20-50 rps), please try this instead : https://github.com/fission/fission (few hundreds to few thousands rps)
kubebuilder
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SpinKube: Orchestrating light, fast and efficient WebAssembly (Wasm) workloads in Kubernetes (k8s)
The Spin operator uses the Kubebuilder framework and contains a Spin App Custom Resource Definition (CRD) and controller. It watches Spin App Custom Resources and realizes the desired state in the K8s cluster. Aside from the immediate benefits gained by running Wasm workloads in k8s, additional optimizations such as Horizontal Pod Scaling (HPA) and k8s Event-driven Autoscaling (KEDA) can be achieved in a pinch.
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Building a Kubernetes Operator with the Operator Framework
kubebuilder: brew install kubebuilder
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Annotations in Kubernetes Operator Design
The operator that I've been working on is designed to manage the full lifecycle of a QuestDB database instance, including version and hardware upgrades, config changes, backups, and (eventually) recovery from node failure. I used the Operator SDK and kubebuilder frameworks to provide scaffolding and API support.
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Kubebuilder Tips and Tricks
Recently, I've been spending a lot of time writing a Kubernetes operator using the go operator-sdk, which is built on top of the Kubebuilder framework. This is a list of a few tips and tricks that I've compiled over the past few months working with these frameworks.
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We moved our Cloud operations to a Kubernetes Operator
Since we built our operator using the Kubebuilder framework, most standard monitoring tasks were handled for us out-of-the-box. Our operator automatically exposes a rich set of Prometheus metrics that measure reconciliation performance, the number of k8s API calls, workqueue statistics, and memory-related metrics. We we were able to ingest these metrics into pre-built dashboards by leveraging the grafana/v1-alpha plugin, which scaffolds two Grafana dashboards to monitor Operator resource usage and performance. All we had to do was add these to our existing Grafana manifests and we were good to go!
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Has anyone ever tried to learn how k8s works?
I wrote a CSI driver and some operators. I admire K8s, because you can find solution to almost any problem in the source code - API versioning, load balancing, request throttling, optimistic concurrency, security, and much much more. I recommend https://book.kubebuilder.io/ It is similar to Operator SDK, but without Openshift-specific stuff. It gradually introduces you to many k8s concepts, and follows design patterns that k8s uses internally.
- What Is A Kubernetes Operator?
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If you write a Kubernetes Operator: Events vs Conditions?
Do you mean this: https://book.kubebuilder.io/ ?
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Kubernetes Operators
https://book.kubebuilder.io/ all you need to know
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Writing a Kubernetes Operator
A better way to write an operator these days is to use kubebuilder [1].
My complaint is that I have seen orgs write operators for random stuff, often reinventing the wheel. Lot of operators in orgs are result of resume driven development. Having said that it often comes handy for complex orchestration.
[1]https://github.com/kubernetes-sigs/kubebuilder
What are some alternatives?
fn - The container native, cloud agnostic serverless platform.
helm-operator - Successor: https://github.com/fluxcd/helm-controller — The Flux Helm Operator, once upon a time a solution for declarative Helming.
faasd - A lightweight & portable faas engine
client-go - Go client for Kubernetes.
nuclio - High-Performance Serverless event and data processing platform
operator-sdk - SDK for building Kubernetes applications. Provides high level APIs, useful abstractions, and project scaffolding.
crossplane - The Cloud Native Control Plane
Ory Kratos - Next-gen identity server replacing your Auth0, Okta, Firebase with hardened security and PassKeys, SMS, OIDC, Social Sign In, MFA, FIDO, TOTP and OTP, WebAuthn, passwordless and much more. Golang, headless, API-first. Available as a worry-free SaaS with the fairest pricing on the market!
kubegres - Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
ali - Generate HTTP load and plot the results in real-time
python - Official Python client library for kubernetes