Hosting your app on a VPS instead of a Platform-as-a-Service has you missing out on cool features such as automated deployments.
Wouldn't it be awesome if you had Heroku-like auto-deployments on your server? 💫
In this tutorial, you'll speed up your workflow by setting up automated deployments for your app. 💨
To accomplish our goal, we need to:
Long story short: Jekyll is a template engine changing
markdowndocuments on static
HTMLwebpages, that you can then host anywyere, because you don’t need databases or server that has PHP or Python.
Normally the process of adding new post looks like this:
#github-pages #github-page-with-jekyll #jekyll #github-actions #github #deployment #continuous-deployment #web-development
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GitHub Actions makes it easy to automate all your software workflows. You can build, test, and deploy your code right from GitHub. In this post we will explore how you can use GitHub Actions to automate serverless application deployment on AWS. You can also use AWS’s own CI/CD services to achieve the same. But here we are going to keep our discussion limited to GitHub Actions.
Creating a GitHub action is simple. Go to your GitHub repository that you want to automate and click on “Actions”
You will be taken to Actions page where you can create a new Blank workflow or select existing actions from the marketplace. The actions from marketplace are reusable actions that you can use in your workflow. We are going to create a blank action and we will also use some actions from marketplace.
Let’s rename the YAML file to workflow.yml. You can name anything you like. We are going to create a Lambda function with API gateway in Serverless Application Model (SAM) template and deploy it using GitHub Actions. Below is our SAM template.
AWSTemplateFormatVersion: '2010-09-09' Transform: AWS::Serverless-2016-10-31 Description: GitHub Actions demonstration App Resources: ApiGatewayApi: Type: AWS::Serverless::Api Properties: StageName: Prod Auth: UsagePlan: CreateUsagePlan: PER_API Description: Usage plan for this API Quota: Limit: 500 Period: MONTH Throttle: BurstLimit: 100 RateLimit: 50 LamdbaFunction: Type: AWS::Serverless::Function Properties: CodeUri: ./ Handler: lambda.handler Runtime: python3.8 Events: getCounter: Type: Api Properties: Path: /hello Method: get RestApiId: !Ref ApiGatewayApi
#aws #automation #deployment automation #github actions #how-to guides
If you have project code hosted on GitHub, chances are you might be interested in checking some numbers and stats such as stars, commits and pull requests.
You might also want to compare some similar projects in terms of the above mentioned stats, for whatever reasons that interest you.
We have the right tool for you: the simple and easy-to-use little tool called GitHub Stats.
Let’s dive right in to what we can get out of it.
This interactive tool is really easy to use. Follow the three steps below and you’ll get what you want in real-time:
1. Head to the GitHub repo of the tool
2. Enter as many projects as you need to check on
3. Hit the Update button beside each metric
In this article we are going to compare three most popular machine learning projects for you.
#github #tools #github-statistics-react #github-stats-tool #compare-github-projects #github-projects #software-development #programming
We live in an age, Where DevOps and automation are becoming more and more necessary and important in projects. So uploading packages manually to servers or platforms is not feasible and salable when you work with architecture like micro-services. So to tackle this problem we need to implement Continuous Delivery and Deployment cycle in our project. In this post I will be showing you how to do exactly that with Mule applications.
After creating a basic Mule App, you might be wondering how to automate the process of deploying a Mule App to CloudHub. In this post, I will be introducing a Jenkins plugin(Github Repository) that I published recently that enables this use case.
How it is compared to other solution/tools available with Jenkins:
Mule-Maven plugin - With this approach you are tight coupling you build and deploy process and most of time its not good. And its hard to scale this approach when you have multi environment deployment and many applications to manage. This approach will not work if you just want to do deployment.
This approach will take time and effort to get working automation that meets your project requirement. The CloudHub Deployer plugin itself is built using same API why re-invent the wheel.
What we will accomplish here:
Jenkins release pipeline using both free style and pipeline script that automates your mule application deployment to CloudHub.
#integration #deployment #jenkins #mulesoft #mule #deployment automation #cloudhub #jenkins pipeline #jenkins automation