workflows-samples
starter-workflows
workflows-samples | starter-workflows | |
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14 | 263 | |
67 | 8,464 | |
- | 1.5% | |
6.0 | 8.6 | |
5 days ago | 5 days ago | |
Shell | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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
starter-workflows
- Say Goodbye to Manual Deployments: Automate Your EC2 Autoscaling with CodeDeploy and GitHub Actions
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Level Up Your Projects with GitHub Actions & CI/CD
GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my projects.
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How to Manage Terraform with GitHub Actions
GitHub Actions is a modern CI/CD tool integrated natively on GitHub. Itenables the rapid automation of build, test, deployment, and other custom workflows on GitHub with no need for external tools.
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Kubernetes CI/CD Pipelines
GitHub Actions is GitHub's CI/CD solution. You can use it to run automated tasks each time you change your code. Although the platform lacks a built-in Kubernetes integration, third-party plugins such as Azure's Deploy to Kubernetes Cluster action can automate deployments and manage different rollout strategies.
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Most Useful CI/CD Tools for DevOps
GitHub Actions is a feature-rich CI/CD platform embedded within GitHub, enabling developers to automate, customize, and execute software development workflows directly in their repositories. An Action inside GitHub Actions is a discrete unit of automation that performs a specific task within a workflow. All the Actions are reusable, and there are many to choose from. You can even create your own reusable ones.
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Awesome GitHub Action Workflows
actions/starter-workflows
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Laravel code-quality tools
The real power of using PHP code-quality tools is when it’s added to your continuous integration process, which means it automatically checks the code every time someone makes a push or pull request to your project repo. In this section, we'll be looking at how to do just that. GitHub actions is available for free so we'll use it for demo purposes. Note that there are some limits to private repos, so set your test repo to public if you can.
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Elevate Your GitHub README Game
You can even automate the running of this script — hence the directory name automation — to happen every time the data changes, using GitHub Actions.
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GitHub Status Checks and Branch Protection Made Easy
# Based on https://github.com/actions/starter-workflows/blob/main/ci/node.js.yml name: CI on: pull_request: branches: - main jobs: ci: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - uses: actions/setup-node@v2 with: node-version: lts/* cache: 'npm' - run: npm ci - run: npm run build --if-present - run: npm test
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GitHub Actions for Perl Development
You might remember that I’ve been taking an interest in GitHub Actions for the last year or so (I even wrote a book on the subject). And at the Perl Conference in Toronto last summer I gave a talk called “GitHub Actions for Perl Development” (here are the slides and the video).
What are some alternatives?
incubator-dolphinscheduler - Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
argocd-image-updater - Automatic container image update for Argo CD
specification - Serverless Workflow Specification
CppCon2020 - Slides and other materials from CppCon 2020
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.
NewPipe - A libre lightweight streaming front-end for Android.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
react-native-dotenv - Load react native environment variables using import statements for multiple env files.
Windows-Containers - Welcome to our Windows Containers GitHub community! Ask questions, report bugs, and suggest features -- let's work together.
nnn - n³ The unorthodox terminal file manager
Real_Time_Image_Animation - The Project is real time application in opencv using first order model
vercel - Develop. Preview. Ship.