How to use HashiCorp Waypoint to deploy with GitLab CI/CD

HashiCorp announced a new project at HashiConf Digital called Waypoint. Waypoint uses an HCL based configuration file to describe how to build, deploy, and release applications to various cloud platforms, ranging from Kubernetes to AWS to Google Cloud Run. Think of Waypoint as if Terraform and Vagrant came together to describe how to build, deploy, and release your applications.

True to form, Hashicorp released Waypoint as open source and with a lot of examples. The orchestration layer is up to you – Waypoint ships as a binary you can run right on your laptop or from whatever CI/CD orchestration tool you choose. Where you deploy is up to you as well since Waypoint shipped with support for Kubernetes, Docker, Google Cloud Run, AWS ECS, and a few others.

Using the fantastic Waypoint documentation and the excellent example applications that HashiCorp provided, we decided to take a look at orchestrating Waypoint using GitLab CI/CD. To do this, we’ll start from the simple AWS ECS Node.js app from the example repository.

#gitlab #git #web-development

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How to use HashiCorp Waypoint to deploy with GitLab CI/CD

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

Adrianna Leuschke

1596754560

Microtica vs. GitLab CI | What Are the Differences?

Microtica and GitLab CI both have the goal to efficiently and reliably deliver software in the cloud. Although both tools have similar features, the differences between the core concepts are significant. That’s why it’s difficult to make a Microtica vs. GitLab CI comparison. However, we’ll try to do it.

GitLab CI is GitLab’s tool for software development that uses continuous methodologies like Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CD).

Microticais a low-code DevOps automation platform that enables companies and individuals to adopt cloud much faster. Microtica does that by standardizing the way we develop and release infrastructure and applications in the cloud.

Microtica vs. GitLab CI – Overview

The most significant difference in the Microtica vs. GitLab CI comparison is that Microtica is focused on abstracting complex cloud and Kubernetes integrations supported natively in the platform. At the same time, it provides all core features for optimal CI and CD.

On the other hand, GitLab CI/CD requires the use of additional provisioning tools, and you need to write most of the scripts manually to achieve the same you can do with Microtica.

Another disadvantage with GitLab CI is that it has native support only for its own repos. If your source code is located somewhere else you need to import it into GitLab or build a custom integration.

It also doesn’t offer native integration with cloud providers and Kubernetes. For example, if you want to deploy infrastructure and applications on AWS or Azure, you need to know the specifics of how those cloud providers work. Moreover, you need to have a great understanding of their APIs and what are the limitations.

#ci/cd #knowledge #product #devops #gitlab ci #microtica vs. gitlab ci #tools comparison

Alycia Klein

1598619600

Travis CI vs Jenkins: Which CI/CD Tool Is Right For You?

As a DevOps professional, you need to evaluate these tools based on your budget, project requirements, and other data points. This is why we take a deep dive into Travis CI vs Jenkinscomparison to help you decide the right CI/CD tool for your project requirements.

If you are new to DevOps and are just learning the basics then I recommend you to read this detailed article on Continuous Integration And Continuous Delivery. Without further ado, let’s get started.

What Is Jenkins?

Jenkins is a popular open-source CI/CD tool that is in usage for a long time. The tool is written entirely in Java. Jenkins has a powerful set of features that can be used to build, test, and integrate changes in a project.

jenkins

It is the go-to choice for startups as it is free to use, supports a wide range of plugins, and is backed by a vibrant community. Developers get the chance to set up a CI/CD environment in Jenkins. Jenkins is available for a wide range of platforms – Windows, macOS, and various flavors of Unix (i.e. Ubuntu, OpenSUSE, and more).

Another major of Jenkins is its extensibility with plugins. Like other open-source projects, Jenkins maintains two release lines – weekly and LTS (Long Term Support). At the time of this article, the latest version of Jenkins (LTS) was 2.235.1.

Salient features of Jenkins

Open source and free for use.
Extensive plugin ecosystem.
Vibrant community.
Supports parallel execution.
Ease to set up.
Offers REST API.
Can be configured using Jenkinsfile.

#devops #continous delivery #jenkins ci #ci cd #travis ci #continous deployment #jenkins architecture

Derek Champlin

1595578080

Working with GitHub Actions

GitHub has become one of the most widely used Source Code Repository. Its Distributed Version Control System helps the developers for faster development and Integration of their code. Recently, it launched GitHub Actions in beta which enabled developers to create automated workflows to build, test, and deploy their source code on GitHub.

In this article, we will discuss about GitHub Actions and how it can be used to build an automated software development life-cycle workflow.

Below are the things we will discuss in this article:

About GitHub Actions

Using GitHub Actions, we can create custom workflows that will help to build, test, package, release or deploy the code without leaving the GitHub UI. It enables us to build Continuous integration and Continuous Deployment capabilities directly in our repository. Here are some important features about GitHub Actions.

**YAML based process: **The workflow is written in YAML. Hence it is easy to create, read and use the actions that make up the workflow.

**One Place for everything: **By using GitHub Actions, we can build and test the developed code directly in our repository. There is no need to worry about integrating the source code repository with other build and deployment tools. Everything can be done in one single place.

**Easy to integrate code: **Since enabling CI/CD directly in the repository is possible using workflows, creating merge requests(MRs), building, testing and integrating them become way more seamless.

#tech (re)view #build #cd #ci #ci-cd #github #github actions #gitlab-ci #gradle #java #test

Nicolas Azoidis

1602832644