Reid  Rohan

Reid Rohan

1621984800

Deploy A NestJS Application in Heroku with GitLab CI/CD Pipelines

How to deploy a NestJS Application in Heroku using GitLab CI/CD pipelines

Introduction

In previous days I wrote a little tutorial explaining how to create a NestJS application  Create an API Rest With NestJS and PostgreSQL and now I will explain how to deploy it using GitLab Pipelines.

Prerequisites

We need to create an account in  Heroku and  GitLab.

Please make sure that Node.js (>= 10.13.0) is installed on your operating system.

Installation

NestJS

Once installed NodeJS we doing to install  NestJS CLI, Command Line Interface that help us to maintain our application.

Once installed, we going to execute the next command to create our project.

$ nest new project-name

You can find the core files in the src directory.

Core files

  • app.controller.ts: A basic controller with a simple route.
  • app.service.ts: A simple service.
  • app.module.ts: The root module of the application.
  • main.ts: The entry file of the application which uses the core function NestFactory to create a Nest application instance.

#javascript #heroku #devops #nestjs

What is GEEK

Buddha Community

Deploy A NestJS Application in Heroku with GitLab CI/CD Pipelines
Matt  Towne

Matt Towne

1589791867

Serverless CI/CD on the AWS Cloud

CI/CD pipelines have long played a major role in speeding up the development and deployment of cloud-native apps. Cloud services like AWS lend themselves to more agile deployment through the services they offer as well as approaches such as Infrastructure as Code. There is no shortage of tools to help you manage your CI/CD pipeline as well.

While the majority of development teams have streamlined their pipelines to take full advantage of cloud-native features, there is still so much that can be done to refine CI/CD even further. The entire pipeline can now be built as code and managed either via Git as a single source of truth or by using visual tools to help guide the process.

The entire process can be fully automated. Even better, it can be made serverless, which allows the CI/CD pipeline to operate with immense efficiency. Git branches can even be utilized as a base for multiple pipelines. Thanks to the three tools from Amazon; AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy, serverless CI/CD on the AWS cloud is now easy to set up.

#aws #aws codebuild #aws codecommit #aws codedeploy #cd #cd pipeline #ci #ci/cd processes #ci/cd workflow #serverless

Reid  Rohan

Reid Rohan

1621984800

Deploy A NestJS Application in Heroku with GitLab CI/CD Pipelines

How to deploy a NestJS Application in Heroku using GitLab CI/CD pipelines

Introduction

In previous days I wrote a little tutorial explaining how to create a NestJS application  Create an API Rest With NestJS and PostgreSQL and now I will explain how to deploy it using GitLab Pipelines.

Prerequisites

We need to create an account in  Heroku and  GitLab.

Please make sure that Node.js (>= 10.13.0) is installed on your operating system.

Installation

NestJS

Once installed NodeJS we doing to install  NestJS CLI, Command Line Interface that help us to maintain our application.

Once installed, we going to execute the next command to create our project.

$ nest new project-name

You can find the core files in the src directory.

Core files

  • app.controller.ts: A basic controller with a simple route.
  • app.service.ts: A simple service.
  • app.module.ts: The root module of the application.
  • main.ts: The entry file of the application which uses the core function NestFactory to create a Nest application instance.

#javascript #heroku #devops #nestjs

Colleen  Little

Colleen Little

1595507880

Creating CI/CD Pipeline With Gitlab and DigitalOcean Managed Kubernetes

Peeyush Gupta, Sr. Developer Advocate from DigitalOcean, and Medhamsh Vuthpala, Tech Evangelist from Axelerant, discuss DigitalOcean Managed Kubernetes (DOKS) and Gitlab CI/CD pipelines, and demo how to integrate Gitlab with DOKS.

#kubernetes #gitlab #pipeline #ci #cd #doks

Rachel Cole

Rachel Cole

1652667194

GitLab CI/CD Tutorial | Build Production-ready CI/CD Pipelines

GitLab CI/CD Full Course released - CI/CD with Docker | K8s | Microservices!

Learn how to build production-ready CI/CD pipelines in one comprehensive and practical course!

GitLab CI/CD is one of the most popular CI/CD platforms! More and more companies are adopting it. So, the need for Developers or DevOps engineers, who know how to build complete CI/CD pipelines on GitLab is increasing.

While many GitLab courses teach you only the basics, we will dive into more advanced demos, like implementing dynamic versioning, using cache to speed up the pipeline execution or deploying to a K8s cluster. So, you'll have built several CI/CD pipelines with real life examples & best practices!

As usual you can expect complex topics explained in a simple way, animations to help you understand the concepts better and lots of hands-on demos!

▬▬▬▬▬▬  🚀 By the end of this course, you'll be able to... 🚀  ▬▬▬▬▬▬ 
✅  Confidently use GitLab CI/CD at your work
✅  Set up self-managed GitLab Runners
✅  Build and deploy containers with Docker Compose
✅  Build a Multi-Stage Pipeline
✅  Configure a CI/CD Pipeline for a Monorepo Microservices
✅  Configure a CI/CD Pipeline for a Polyrepo Microservices
✅  Deploy to a managed Kubernetes cluster
✅  Setup a CI/CD pipeline with best practices

▬▬▬▬▬▬  📚 What you'll learn 📚 ▬▬▬▬▬▬ 
✅  Pipelines, Jobs, Stages
✅  Regular & Secret Variables
✅  Workflow Rules
✅  Speed up Pipeline using Cache
✅  Configure Job Artifacts (test report, passing files and env vars)
✅  Conditionals
✅  GitLab Runners & Executors
✅  GitLab's built-in Docker registry
✅  GitLab Environments
✅  GitLab's Job Templates
✅  Reuse pipeline configuration by writing own job ci-templates library
✅  needs, dependencies, extends etc.

►  More Infos here: https://www.techworld-with-nana.com/gitlab-cicd-course


#gitlab #gitlabcicd #docker #k8s #microservices #ci #cd 

Maud  Rosenbaum

Maud Rosenbaum

1602938520

Continuous Deployment Shouldn't Be Hard

Introduction

Over the past decade, continuous integration (CI) and continuous delivery (CD) have become staples of the software development lifecycle. CI automates the process of merging code and checking for basic regressions and code quality issues, relieving some of the code review burdens on your dev team. CD and automated deployments eliminate the overhead involved each time a new feature or a hotfix needs to get deployed.

Imagine if there were no more nights and weekends spent packaging builds and manually deploying across servers! A functional CI/CD setup makes it significantly easier to have a truly agile workflow, as you can deploy as frequently as you want to.

However, CD, in particular, can be difficult to set up, oftentimes involving learning a whole new set of skills involving Dockerfiles, YAML, and the idiosyncrasies of each app and environment. Especially for smaller teams, these complexities make the idea of having automated deployments just a dream.

Continuous deployment doesn’t need to be this hard to set up.

As a full-stack developer and consultant who often helps dev teams to increase the value they deliver each sprint, when Heroku Flow came onto my radar I knew it was time to take a closer look. Could this be the simple, straightforward solution I’d been looking for?

What Is Heroku Flow?

Heroku Flow is the umbrella for a few different Heroku products which work together to provide a full CI/CD suite of tools. For CI, there’s Heroku CI. For CD, there is Heroku Pipelines, which allows you to specify a group of environments within which to promote builds, and Heroku Review Apps, which give you on-demand builds of each pull request. Bringing it all together is the GitHub Integration, which allows the process to be automatically triggered simply by pushing to your default branch.

Let’s set up a sample application and see what it takes. Do note that Heroku Review Apps is currently only available with the GitHub Integration.

#devops #heroku #ci/cd #continuous deployment #ci/cd pipeline #web programming