
Explore DevOps practices for Azure SQL, covering version control, infrastructure, schema management, testing, and CI/CD. Learn to use command-line tools and integrate with GitHub, Codespaces, and Terraform.

Automate load testing using GitHub Actions to ensure optimal performance and scalability of your applications.

Explore CI/CD implementation using GitHub Actions for PowerShell projects, enhancing automation and streamlining development workflows.

Explore CPython's performance measurement techniques, benchmark suite, and continuous testing system. Learn to apply these methods to improve software performance in general.

Gain visibility and enhance security of CICD ecosystems. Learn about CICDGuard for visualization and analysis, and ActionGOAT for vulnerability testing. Explore common attack areas and solutions.

Explore dynamic IDP architecture for AWS setups, focusing on scalability, developer self-service, and overcoming common challenges using tools like EKS, RDS, and Backstage.

Explore declarative MLOps on Kubernetes for streamlined model serving. Learn containerization, CI/CD with GitOps, and best practices for scalable, high-velocity ML deployments using native K8s operators.

Automate deployments using Docker, GitHub Actions, and Kubernetes. Learn to build Dockerfiles, create DevOps pipelines, and deploy to Kubernetes for efficient content delivery.

Discover essential GitHub features for C++ developers: Actions for automation, IDE extensions for productivity, and Codespaces for seamless environment setup. Elevate your development workflow beyond version control.

Enhance microservice test coverage using integration tests with actual counterparties. Learn to measure and monitor code coverage for improved deployment pipelines and quality assurance.

Optimize GitHub CI with caching, parallel testing, and shared workflows for faster, more efficient charm development and integration testing.

Automate CI/CD for Dockerized Flask apps using GitHub Actions. Learn to build Docker images, push to Docker Hub, and streamline deployment workflows for Python applications.

Explore Databricks Asset Bundles (DABs) for streamlined data project management. Learn core concepts, best practices, and deployment patterns using Databricks CLI, with real-world examples and future integrations.

Explore Databricks Asset Bundles for seamless project development, from inner to outer loops. Learn workflow authoring and productionization using Github Actions and Azure Pipelines, adhering to DevOps best practices.

Explore CPython's performance measurement techniques, benchmark suite, and continuous testing system. Learn about challenges in interpreter performance evaluation and apply insights to general software.

Explore microservices evolution, practical applications, and challenges with experts. Learn about system design flexibility, implementation strategies, and future trends in software architecture.

Learn to implement MLOps with GitHub Actions, covering CI/CD pipelines, developer workflows, and unit testing for efficient machine learning project management and deployment.

Learn to create custom workflows for building, testing, and deploying code projects using GitHub Actions. Discover practical ideas and examples to enhance your software development lifecycle.

Explore GitHub Actions for CI/CD and advanced automation. Learn to build workflows, respond to events, and integrate external tools for comprehensive software delivery and repository management.

Learn to implement DevSecOps practices using GitHub Actions and Docker Scout. Covers SAST scanning, container image scanning, and integrating security into the development pipeline.

Explore GitOps principles using OpenTofu and Terramate on GitHub Actions for efficient CI/CD pipeline management and cloud resource control.