Cloud Automated Build - Cloud CI/CD & Cloud Devops

for AutomatedBuild.dev

At AutomatedBuild.dev, our mission is to provide comprehensive and up-to-date information about Continuous Integration/Continuous Deployment (CI/CD) deployment, frictionless software releases, containerization, application monitoring, and container management. We aim to empower developers and DevOps teams with the knowledge and tools they need to streamline their software development and deployment processes, reduce errors, and improve the overall quality of their applications. Our goal is to be the go-to resource for anyone looking to optimize their software delivery pipeline and stay ahead of the curve in the rapidly evolving world of software development.

Video Introduction Course Tutorial

Introduction

Automatedbuild.dev is a website that provides information about various topics related to CI/CD deployment, frictionless software releases, containerization, application monitoring, and container management. This cheat sheet is designed to help beginners get started with these concepts and categories. It covers the basics of each topic and provides links to additional resources for further learning.

CI/CD Deployment

CI/CD deployment is the process of automating the build, test, and deployment of software. It involves using tools and techniques to ensure that software is released quickly, reliably, and with minimal errors. Here are some key concepts to keep in mind when getting started with CI/CD deployment:

1. Continuous Integration (CI): This is the practice of merging code changes into a shared repository frequently. It involves running automated tests to ensure that the code is working as expected.

2. Continuous Delivery (CD): This is the practice of automating the deployment of software to production. It involves using tools and techniques to ensure that software is released quickly, reliably, and with minimal errors.

3. Continuous Deployment: This is the practice of automatically deploying software to production as soon as it passes automated tests. It involves using tools and techniques to ensure that software is released quickly, reliably, and with minimal errors.

4. Jenkins: This is an open-source automation server that helps automate parts of the software development process. It can be used for continuous integration, continuous delivery, and continuous deployment.

5. GitLab: This is a web-based Git repository manager that provides continuous integration, continuous delivery, and continuous deployment.

6. Travis CI: This is a hosted, distributed continuous integration service used to build and test software projects hosted at GitHub.

7. CircleCI: This is a cloud-based continuous integration and continuous delivery platform that helps teams build, test, and deploy software quickly and easily.

Frictionless Software Releases

Frictionless software releases are the process of releasing software with minimal effort and without causing any disruption to the end-users. It involves using tools and techniques to ensure that software is released quickly, reliably, and with minimal errors. Here are some key concepts to keep in mind when getting started with frictionless software releases:

1. Blue/Green Deployment: This is a technique for releasing software that involves deploying two identical environments, one of which is active (blue) and the other is inactive (green). Once the new version of the software is deployed to the inactive environment, traffic is switched over to the new environment.

2. Canary Release: This is a technique for releasing software that involves deploying a new version of the software to a small subset of users. This allows for testing of the new version before it is released to all users.

3. Feature Flags: This is a technique for releasing software that involves turning on and off features based on certain conditions. This allows for testing of new features before they are released to all users.

4. Rollback: This is the process of reverting to a previous version of the software in case of a problem with the new version.

5. A/B Testing: This is a technique for releasing software that involves testing two versions of the software with different features or designs to see which one performs better.

Containerization

Containerization is the process of packaging software into containers. Containers are lightweight, portable, and self-contained environments that can run anywhere. Here are some key concepts to keep in mind when getting started with containerization:

1. Docker: This is an open-source platform for building, shipping, and running distributed applications. It allows developers to package their applications into containers that can run on any machine.

2. Kubernetes: This is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.

3. Container Registry: This is a repository for storing and distributing container images. It allows developers to share their containers with others.

4. Microservices: This is an architectural style that involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently.

5. Service Mesh: This is a layer of infrastructure that provides a way to manage and control the communication between services in a microservices architecture.

Application Monitoring

Application monitoring is the process of monitoring the performance and availability of software applications. It involves using tools and techniques to ensure that software is running smoothly and without any issues. Here are some key concepts to keep in mind when getting started with application monitoring:

1. Metrics: This is a way of measuring the performance of software applications. Metrics can include things like response time, error rate, and throughput.

2. Logs: This is a way of recording events that occur in software applications. Logs can be used to troubleshoot issues and identify areas for improvement.

3. Tracing: This is a way of tracking the flow of requests through a software application. Tracing can be used to identify bottlenecks and optimize performance.

4. APM: This stands for Application Performance Monitoring. It is a type of software that is used to monitor the performance of software applications.

5. Prometheus: This is an open-source monitoring system that is used to collect and store metrics from software applications.

Container Management

Container management is the process of managing containers in a production environment. It involves using tools and techniques to ensure that containers are running smoothly and without any issues. Here are some key concepts to keep in mind when getting started with container management:

1. Container Orchestration: This is the process of automating the deployment, scaling, and management of containers in a production environment.

2. Kubernetes: This is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.

3. Docker Swarm: This is a native clustering and scheduling tool for Docker containers.

4. Service Discovery: This is the process of automatically discovering and registering services in a containerized environment.

5. Load Balancing: This is the process of distributing traffic across multiple containers to ensure that they are running smoothly and without any issues.

Conclusion

This cheat sheet provides an overview of the key concepts related to CI/CD deployment, frictionless software releases, containerization, application monitoring, and container management. It is designed to help beginners get started with these topics and provides links to additional resources for further learning. By understanding these concepts, you can improve the speed, reliability, and quality of your software releases.

Common Terms, Definitions and Jargon

1. CI/CD: Continuous Integration/Continuous Deployment is a software development practice that involves frequent code integration and automated testing to ensure that code changes are quickly and safely deployed to production.
2. Deployment: The process of releasing software into production, making it available to end-users.
3. Frictionless software releases: The process of releasing software with minimal effort and without causing any disruption to the end-users.
4. Containerization: The process of packaging an application and its dependencies into a container, which can be run consistently across different environments.
5. Application monitoring: The process of tracking the performance and availability of an application, identifying issues, and taking corrective action.
6. Container management: The process of managing containers, including their deployment, scaling, and orchestration.
7. DevOps: A software development methodology that emphasizes collaboration and communication between development and operations teams to streamline the software delivery process.
8. Agile: A software development methodology that emphasizes iterative development, continuous feedback, and rapid adaptation to changing requirements.
9. Git: A distributed version control system that allows developers to collaborate on code changes and track changes over time.
10. Jenkins: An open-source automation server that supports continuous integration and continuous deployment.
11. Docker: A containerization platform that allows developers to package applications and their dependencies into containers.
12. Kubernetes: An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
13. AWS: Amazon Web Services, a cloud computing platform that provides a wide range of services, including compute, storage, and database services.
14. Azure: Microsoft's cloud computing platform that provides a wide range of services, including compute, storage, and database services.
15. GCP: Google Cloud Platform, a cloud computing platform that provides a wide range of services, including compute, storage, and database services.
16. Microservices: A software architecture pattern that involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently.
17. Infrastructure as Code: The practice of managing infrastructure using code, allowing for automated provisioning, configuration, and deployment.
18. Continuous Testing: The practice of continuously testing an application throughout the development process to ensure that it meets quality standards.
19. Continuous Delivery: The practice of continuously delivering software to production, ensuring that it is always in a releasable state.
20. Continuous Deployment: The practice of automatically deploying software to production after passing automated tests and meeting other criteria.

Editor Recommended Sites

AI and Tech News
Best Online AI Courses
Classic Writing Analysis
Tears of the Kingdom Roleplay
ML Education: Machine learning education tutorials. Free online courses for machine learning, large language model courses
Multi Cloud Tips: Tips on multicloud deployment from the experts
LLM OSS: Open source large language model tooling
Cloud Data Fabric - Interconnect all data sources & Cloud Data Graph Reasoning:
NLP Systems: Natural language processing systems, and open large language model guides, fine-tuning tutorials help