#ci-cd (68)
- Defining Your Delivery Pipeline: Mastering KubeVela Workflows
Explore KubeVela Workflows to define and automate complex application delivery pipelines on Kubernetes, integrating custom steps, policies, and multi-stage deployments.
- Streamline Kubernetes Application Delivery with KubeVela
Discover how KubeVela's core concepts, including OAM, streamline Kubernetes application deployment and empower platform teams to build robust internal developer platforms.
- Deploying and Managing AI Agent Harnesses in Production
Learn to deploy, monitor, and continuously improve AI agent harnesses to build reliable and observable production systems.
- Dolt Production Best Practices for CI/CD, Security, and Scalability
Learn to implement Dolt production best practices, including CI/CD for data, robust security, and scaling strategies for version-controlled databases.
- Project: Enterprise Financial Transactions Platform
Build a production-grade financial transactions platform using Dolt for version control, audit trails, and collaborative data management, integrating advanced Git-for-Data workflows and CI/CD.
- Implement Git-like Version Control in SQL with Dolt
Learn to apply Git-like version control, branching, and merging to SQL databases using Dolt, mastering schema evolution and production practices.
- Block AI Bot Spam in GitHub with Git Author Enforcement
Readers learn to configure Git and implement CI/CD validation to prevent AI bot spam by enforcing correct commit author information in GitHub repositories.
- Automate Infrastructure for Reliable Deployments
Readers will learn to automate infrastructure and implement modern deployment strategies to build scalable, resilient, and observable distributed systems.
- Deploying, Securing, and Maintaining Angular Apps in Production
Learn to deploy, secure, and maintain Angular applications in production, leveraging CI/CD pipelines and modern AI tools for robust, scalable systems.
- Deploying, Securing, and Maintaining Angular Apps in Production
Learn to deploy, secure, and maintain Angular applications in production, leveraging CI/CD pipelines and modern AI tools for robust, scalable systems.
- SmolVM: Practical Applications for Dev, Testing, & Distribution
Understand how smolvm's sub-second cold start and portable format streamline development, ensure consistent testing, and simplify software distribution.
- Integrating AI into DevOps Workflows: An Essential Guide
Learn how to integrate Artificial Intelligence into DevOps practices, enhancing CI/CD, code review, deployment, monitoring, and infrastructure automation.
- AI for Automated Code Review and Quality Gates
Explore how AI transforms automated code review and quality gates within DevOps workflows, enhancing code quality, security, and developer efficiency with practical insights and examples.
- AI-Enhanced Deployment Validation and Rollouts
Learn how AI can enhance deployment validation and automate intelligent rollouts, covering anomaly detection, canary analysis, and predictive monitoring for robust software delivery.
- MLOps Essentials: Bridging Machine Learning and DevOps
Understand the core principles and lifecycle of MLOps, bridging machine learning development with robust DevOps practices for reliable AI systems.
- Accelerate CI with AI-Driven Testing and Build Optimization
Implement AI in CI workflows to intelligently prioritize tests, predict build failures, and optimize processes for improved efficiency and reliability.
- AI in DevOps Workflows Guide
Unlock the power of AI in DevOps. Learn to integrate AI into CI/CD, automate code reviews, validate deployments, enhance monitoring, and streamline infrastructure automation effectively.
- Automating CI/CD with AI Agents and Coding Systems
Automate your CI/CD pipelines with AI agents, streamlining tasks like code generation, testing, and deployment to significantly improve development efficiency.
- Orchestrating MCP Tool Execution & Request Routing
Learn how Model Context Protocol orchestrates tool execution and request routing, empowering AI agents to interact with external tools effectively.
- Monitor, Maintain & Extend a Rust Production CLI Tool
Learn to monitor, maintain, and extend a production-grade Rust CLI tool with structured logging, performance benchmarks, and CI/CD integration.
- Production Best Practices: From Development to Deployment
Transition your SpaceTimeDB application from development to production with best practices in deployment, observability, security, and high availability.
- Develop and Deploy Void Cloud Applications from Local to Cloud
Configure your local development environment, deploy applications with the Void CLI, and manage secrets for production-ready Void Cloud deployments.
- 6. Managing Environments, Secrets, and Configuration
Learn how to manage different application environments, handle sensitive data with secrets, and configure your Void Cloud projects for robust, scalable deployments as of early 2026.
- Ensure App Resilience with Reliable Deployments & DR on Void Cloud
Learn to implement reliable deployment strategies and disaster recovery principles to ensure your Void Cloud applications remain resilient and available.
- Implement CI/CD for Rust Static Site Generator Deployment
Learn to implement robust CI/CD pipelines using GitHub Actions for automated building, testing, and deploying your Rust Static Site Generator.
- CI/CD for Enterprise Angular Applications
Master CI/CD strategies for enterprise-grade Angular applications, covering automation, testing, deployment, and best practices for scalable and reliable delivery.
- Architecting Angular Apps for Maintainability and Growth
Design resilient, adaptable, and high-performing Angular applications that will stand the test of time and evolving business requirements.
- Why Testcontainers Simplifies Integration Testing
Understand how Testcontainers solves common integration testing problems by creating realistic, disposable Docker-based environments for reliable software validation.
- 10. Performance Tuning and Container Reuse Strategies
Optimize your Testcontainers setup for speed and efficiency. Learn container reuse strategies, performance tuning, and best practices for Java, JavaScript, and Python in CI/CD environments.
- Integrate Testcontainers with GitHub Actions & GitLab CI
Integrate Testcontainers with GitHub Actions and GitLab CI to run reliable integration tests in your continuous integration pipelines.
- Testcontainers Security: Best Practices for Robust Integration Tests
Readers will learn to secure Testcontainers integration tests by managing Docker daemon access, selecting trusted images, and applying CI/CD security best practices.
- Troubleshoot Testcontainers and Optimize Your Tests
Learn to diagnose and resolve common Testcontainers issues related to Docker, networking, and resource management, and optimize integration tests with advanced configurations.
- Evolving Containerized Testing and Continuous Improvement
You will understand future trends in containerized testing, integrate AI/ML, and apply advanced CI/CD strategies to build robust, scalable test environments.
- Master Testcontainers for Integration Testing in Java, JS, and Python
Master Testcontainers to create reliable, container-based integration tests for microservices and APIs in Java, JavaScript, and Python environments.
- Deployment and CI/CD Pipelines
Learn how to automate the deployment and CI/CD pipelines for your Angular applications.
- Deployment and CI/CD for React Applications
Learn how to deploy and automate your React applications with CI/CD, ensuring fast and reliable delivery.
- CI/CD Readiness & Deployment Strategies
Learn how to automate your React app's deployment with CI/CD using GitHub Actions.
- CI/CD Pipelines with AWS Kiro
Learn how to integrate AWS Kiro into your CI/CD pipelines for automated code reviews and more.
- Project: Deploying a Kiro-Managed Microservice
Learn how to deploy a serverless microservice using AWS Kiro, from IaC generation to cloud deployment.
- DevOps Practices for Efficient Software Delivery and Operations
Learn to integrate development and operations using key DevOps tools and practices to build, deliver, and operate software more reliably and efficiently.
- Introduction to CI/CD - Automating Your Software Flow
Learn how to automate your software flow using CI/CD with GitHub Actions and Jenkins.
- Building CI/CD with GitHub Actions
Learn how to set up CI/CD with GitHub Actions for automated builds, tests, and deployments.
- Jenkins - The Enterprise Automation Hub
Learn how to set up and use Jenkins for enterprise automation, including freestyle projects and pipelines.
- Project 1: End-to-End CI/CD Pipeline for a Web Application
Learn to build an end-to-end CI/CD pipeline for a web application using Docker and GitHub Actions.
- DevOps Best Practices, Monitoring & Troubleshooting
Learn DevOps best practices, including monitoring, logging, and troubleshooting techniques with Prometheus and Grafana.
- DevOps Skills: Linux, Git, CI/CD, Docker, Kubernetes, Real Projects
Gain practical DevOps expertise, from Linux fundamentals to advanced Kubernetes orchestration, applying CI/CD, Docker, and web servers in real projects.
- CI/CD Pipeline with GitHub Actions & AWS ECR
Learn to automate your Node.js application deployment with GitHub Actions and AWS ECR.
- Integrating Security into CI/CD Pipelines (DevSecOps)
Learn how to integrate security into CI/CD pipelines using DevSecOps principles and modern tools.
- Security Testing & Integration into CI/CD Pipelines
Learn how to integrate automated security testing into your CI/CD pipeline for a more secure development process.
- Testing, Debugging, and Production Deployment
Learn how to test, debug, and deploy A2UI agent applications for a consistent user experience.
- CI/CD Basics with GitHub Actions
Learn how to set up CI/CD with GitHub Actions for automated testing and deployment.
- CI/CD for Databricks Pipelines with Databricks Asset Bundles
Learn how to set up a CI/CD pipeline for Databricks using Asset Bundles and GitHub Actions.
- Production Deployment, Monitoring, and Cost Optimization
Learn how to deploy, monitor, and optimize a real-time supply chain analytics platform on Databricks.
- Databricks: From Zero to Production-Ready Solutions
Learn to build robust, scalable data solutions using Databricks from zero to production-ready.
- Learn Docker: Build & Deploy Production Applications Confidently
Learn Docker from basic concepts to advanced deployment, enabling you to confidently build, secure, and optimize containerized applications for production.
- Blueprint for Success - Crafting Docker Images with Dockerfiles
Learn how to create custom Docker images using Dockerfiles for efficient and reproducible application environments.
- Setting Up CI/CD with GitHub Actions
Learn how to set up a CI/CD pipeline for your Java project using GitHub Actions.
- Docker Hub and Registries
Learn how to use Docker Hub and other container registries for image management, collaboration, and deployment.
- Deploy Flutter Apps with CI/CD to Google Play & App Store
Learn to deploy Flutter applications, automate workflows with CI/CD, and successfully submit them to Google Play and Apple App Store.
- 2: Automating with CI/CD
Learn how to automate your Flutter app development with CI/CD pipelines for faster releases and improved code quality.
- Advanced Topics & The Future of Flutter
Learn advanced Flutter techniques for production-ready applications, including performance optimization and CI/CD practices.
- Core Concepts: Pipelines and Models
Explains the core concepts of pipelines and models in Transformers.js, a JavaScript library for working with pre-trained machine learning models.
- Playwright for Advanced Angular Testing: A Deep Dive
Learn advanced Playwright techniques for Angular testing, including CI/CD integration and performance monitoring.
- Liquibase Learning Guide: From Beginner to Expert
Learn Liquibase from beginner to expert, covering database change management with practical examples and best practices.
- Continuous Integration & Deployment Automation
Build a fully-automated CI/CD pipeline for Java web applications using Jenkins, Maven, and Docker.
- Advanced Test Framework Design & Parameterization
Learn how to design and parameterize a robust test framework using Java, JUnit 5, Selenium, Appium, RestAssured, Maven/Gradle, and CI/CD.
- Java Automation Testing: End-to-End Solutions
Master Java automation testing, from foundational concepts to advanced framework design, enabling you to build, deploy, and maintain robust, scalable testing solutions.
- Advanced Nx for Scalable Monorepos and Production Deployment
Readers will master advanced Nx concepts, including custom tooling, Module Federation, and CI/CD optimization, to confidently build and deploy large-scale monorepos.