Hi, welcome back.
In this part of the tutorial, we will discuss how to run airflow locally.
Setting up Airflow 2.0
How To Build Docker Images for Windows Desktop Applications
Introduction
It used to be that people first downloaded their software onto a physical computer and then ran it. Now, with cloud computing, you no longer need to worry about awkward downloads. Instead, you can use all the same services online from anywhere and see updates in real-time.
Why Businesses Migrate Their Legacy Applications To the Cloud
- Probably the first main reason for moving to the cloud is access to virtually unlimited computing resources. Cloud elasticity and scalability are essential elements of cloud computing.
- Cloud elasticity is the ability of a system to dynamically manage available resources based on current workload requirements.
- Cloud Scalability is a scalable system infrastructure to meet growing workload demands while maintaining consistent performance appropriately.
- Moving from the legacy Windows app to cloud computing lets you work anytime and anywhere so long as you have an internet connection. A cloud-based web service is accessible from any device.
- In the current pandemic situation, team members are forced to work from their home offices. Using the cloud, your teammates can open, edit, and share documents anytime and from anywhere; they can do more together and do it better. Before the advent of the cloud-based workflow, employees had to send files back and forth as email attachments that a single user worked on simultaneously.
- A public cloud provider owns the hardware infrastructure and is responsible for managing and maintaining it, so you don’t have to worry about maintenance. With a public cloud, you only need to focus directly on meeting your business goals.
- Cloud computing reduces high hardware costs. You pay only for the actual consumption of resources.
Virtual Machines Vs Containers.
Containers and virtual machines (VMs) are the two main approaches to deploying multiple isolated services in the cloud. So how are they different?
Dockerfile Optimization for Fast Builds and Light Images
"Docker builds images automatically by reading the instructions from a Dockerfile -- a text file that contains all commands, in order, needed to build a given image."
The explanation above was extracted from Docker’s official docs and summarizes what a Dockerfile is for. Dockerfiles are important to work with because they are our blueprint, our record of layers added to a Docker base image.
How to Make Docker Build Run Faster
In this article, let's discuss how to run a Docker build faster with a simple tip.
Let’s assume we are containerizing an Angular application. We created a Dockerfile in the project’s root directory:
Getting Started With Container Registries
Container registries serve as libraries to store and access third-party container images required during the build phase of the SDLC and the images produced for deployment to test, staging, and production environments. While public container registries are accessible and convenient, private registries can better integrate into existing CI/CD workflows, offer greater control over access and security, as well as help ensure build repeatability and reliability. This Refcard covers key container concepts and terminology; common use cases; and guidelines for container registry configuration, operation, security, and storage.
Java CI/CD: From Local Build to Jenkins Continuous Integration
This post is part of a series that demonstrates a sample deployment pipeline with Jenkins, Docker, and Octopus:
- From JAR to Docker
- From local builds to Continuous Integration
- From Continuous Integration to Kubernetes deployments
- From Continuous Integration to release management
- From release management to operations
Docker Explained – An Introductory Guide To Docker
Docker has gained immense popularity in this fast-growing IT world. Organizations are continuously adopting Docker in their production environment. I take this opportunity to explain Docker in the most simple way. In this blog, the following Docker concepts will be covered:
CI/CD Pipelines to Run Unit Testing in Docker [Video]
This video will focus on how to run unit testing inside a Docker container, and it will show how to run a unit test manually inside the container.
It takes a look at how to run unit tests as part of the CI/CD pipelines. It will explain in detail how Dockerfile builds Docker image to run unit tests and how to save test results as part of the Docker image and how to run a container from that image to see the test results.
Spring Boot: Run and Build in Docker
There are a lot of guides on “Docker for Java developers,” but most of them do not take care of small and efficient Docker images.
I have combined many resources on how to make a simple and fast Docker image containing any Spring Boot-like application.