workflows-samples
lima
workflows-samples | lima | |
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14 | 106 | |
67 | 14,068 | |
- | 1.6% | |
6.0 | 9.7 | |
6 days ago | 4 days ago | |
Shell | Go | |
Apache License 2.0 | Apache License 2.0 |
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workflows-samples
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Event driven architects: how to handle event state through multiple services?
Have you seen this? https://cloud.google.com/workflows
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Job Scheduling on Google Cloud Platform
Cloud Workflows: A serverless workflow orchestration service
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Trigger Cloud Run job execution
Workflows can trigger actions, like Cloud Run Jobs, in a sequence of steps. The Workflows product waits for the job to complete, fail, or time out before it moves on to the next step. It uses polling to check on the job, so there may be a delay between the job finishing and the next step.
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GCP Workflows
Has anyone integrated firestore/realtime database together with GCP workflows? What was your use case? How was your experience with it? Why have you decided to go that way?
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Handy Yaml Tricks!
In the past few years, YAML (http://yaml.org) has become an essential part of software, particularly for infrastructure-as-code tools. Yaml at the heart of kubernetes configuration, kubernetes-inspired APIs like Google's config connector, and a number of workflow systems like Google Cloud Workflows and Github Actions.
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Newbie to Google Cloud, but I was wondering if there was a way to set up a routine to run a code snippet daily?
If your routine is just a bunch of API calls, you can also replace steps 1-2 with Workflows.
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Kubernetes Reinvented Virtual Machines (in a good sense)
I have come at this problem from a bit of a different angle by asking what is the closest I can possibly get to the hypothetical dream state of everything is automated, autoscaling blah blah blah as possible with the absolute smallest budget in terms of not only actual costs but time budget as well.
I only know the GCP ecosystem kind of well so I don't fully know to what extent these things exist in AWS and Azure but there I think there is a really nice path you can get on with the serverless route that skips K8s entirely but keeps you very well aligned in case you ever need to "upgrade" or get out of the GCP ecosystem.
I write very stock standard gRPC services and then put them onto Cloud Run (which has a very Heroku like workflow) and stick https://cloud.google.com/api-gateway in front of things and now my API is running on the exact same setup as any other service Google is running in production. Huge amounts of logic get moved out of my code base as a result.
If you are also willing to write your APIs a fairly particular way https://google.aip.dev/ it starts to become trivial to integrate other things like https://cloud.google.com/workflows, https://cloud.google.com/pubsub and https://cloud.google.com/tasks which is traditionally where a lot of the "state" and weirdly complicated logic previously lived in my code. I'm now not really writing any of that.
Now it's all declarative where I just say what I want to happen and I don't have to think about much else beyond that because it too is using that same internal GCP infrastructure to handle all the complicated parts around what to do when things go wrong.
But to me they are all extremely heavily aligned with the K8s path so the lock in certainly doesn't feel as scary.
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A Brief Comparison of Apache DolphinScheduler With Other Alternatives
Google Workflows combines Google’s cloud services and APIs to help developers build reliable large-scale applications, process automation, and deploy machine learning and data pipelines.
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Associate with parent Cloud Workflows logs and child APIs logs using structured logs
Lately, I build a system using Cloud Workflows which can combine Google Cloud Services such as Cloud Functions and Cloud Run. Sometimes, I was in a situation where I want to examine more efficiently using logs on Cloud Logging when debugging or daily monitoring.
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My GCP feature requests for 2022
Look at Cloud Workflows for simple workflows
lima
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Colima k8s nix setup
You can run a virtual machine (e.g. lima) from inside a nix-shell, exactly as you would do with a regular shell.
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Ask HN: Startup Devs -What's your biggest pain while managing cloud deployments?
for others similarly curious, here's an example of the thing: https://github.com/noop-inc/template-java-spring-boot/blob/m...
they seem to be using the excellent lima <https://github.com/lima-vm/lima#readme> for booting on macOS; I run colima for its containerd and k8s support but strongly recommend both projects $(brew install lima colima)
- macOS 14.4 causes JVM crashes
- Lima launches Linux virtual machines for macOS
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Simulate an Ubuntu-like VM inside macOS
Lima is what I use as well. It's quick and easy to just fire up a VM with default settings, but also very easy to configure with different file sharing options, port forwarding, different linux distributions, etc. (their examples are also pretty good IMO [1]).
In particular I use it to run an amd64 VM, which I need to run a stubborn service for work that doesn't run on arm CPUs.
[1] https://github.com/lima-vm/lima/tree/master/examples
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Why are Apple Silicon VMs so different?
Lima (1) is a project that packages Linux distros for MacOS and executes them via qemu in the backend. Maybe you could solve your problem by launching one of their vms and inspecting the command line it generates. You might find an option you were missing.
(1) https://github.com/lima-vm/lima
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The beginning of my eBPF Journey - Kprobe Adventures with BCC
If you wish to delve into all the configuration possibilities for Lima VM, you can visit this resource.
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UTM – Virtual Machines for iOS and macOS
I'd say Lima and Colima should be enough for most use cases:
https://lima-vm.io/
https://github.com/abiosoft/colima
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Lima: Linux Virtual Machines on macOS
Github: https://github.com/lima-vm/lima
Lima wraps QEMU in a simple CLI, with neat features for container users, such as filesystem sharing and automatic localhost port forwarding, as well as DNS and proxy propagation for enterprise networks. Rancher Desktop wraps Lima with k3s integration and GUI.
Talks: https://github.com/lima-vm/lima/blob/master/docs/talks.md
- FLaNK Stack Weekly for 17 July 2023
What are some alternatives?
incubator-dolphinscheduler - Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
colima - Container runtimes on macOS (and Linux) with minimal setup
specification - Serverless Workflow Specification
multipass - Multipass orchestrates virtual Ubuntu instances
professional-services - Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
podman - Podman: A tool for managing OCI containers and pods.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Docker-OSX - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
Windows-Containers - Welcome to our Windows Containers GitHub community! Ask questions, report bugs, and suggest features -- let's work together.
UTM - Virtual machines for iOS and macOS
minikube - Run Kubernetes locally
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...