#automation (38)
- Monitoring, Automation, and Threat Intelligence in Zero Trust
Explore the critical role of continuous monitoring, intelligent automation, and proactive threat intelligence in maintaining and enforcing a dynamic Zero Trust security model.
- Continuous Improvement and the Future of Zero Trust
Learn how to continuously improve and adapt your Zero Trust security architecture, focusing on monitoring, automation, threat intelligence, and future trends to maintain resilience.
- Automate Infrastructure for Reliable Deployments
Readers will learn to automate infrastructure and implement modern deployment strategies to build scalable, resilient, and observable distributed systems.
- 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.
- CLI-First AI Systems: Terminal Agents and Automation
Learn to integrate AI agents directly into your terminal workflows, automating command-line tasks, enhancing developer processes, and orchestrating multi-agent systems.
- 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.
- How AI Transforms Software Delivery and Operations
Learn how Artificial Intelligence fundamentally transforms DevOps workflows, enabling smarter, faster, and more resilient software delivery processes.
- AI Agents and Automations to Streamline Dev Workflows
Learn to leverage AI agents and automations for proactive task management and streamlined software development workflows.
- 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.
- Automate Pull Requests with Multi-Agent AI Workflows
Learn to orchestrate multi-agent AI systems for complex development tasks, automating the pull request lifecycle and boosting developer productivity.
- AI Agents for Smarter Development, Debugging & Scripting
Learn to integrate AI agents into your development workflow to automate commands, create dynamic scripts, and enhance debugging in your terminal.
- Beyond Chat: Automating Terminal Tasks with AI Agents
Move beyond conversational AI to automate complex terminal tasks with AI agents. Learn about command generation, shell tool integration, and AI-discoverable skills.
- Connect AI Agents to Shell Tools for Powerful CLI Automation
Learn to integrate AI agents with your existing shell tools to create powerful command-line automation and enhance your developer workflows.
- CLI-First AI Systems: A Developer's Guide
Explore CLI-first AI systems, learning how AI agents integrate with terminal environments for automation, scripting, and enhanced developer workflows. Discover practical examples.
- Orchestrate Multi-Agent AI Workflows and Discoverable CLI Skills
Learn to coordinate multiple AI agents for complex tasks and define AI-discoverable skills that empower them to utilize existing command-line tools effectively.
- Get Started with CLI-First AI Agents in Your Terminal
Learn to integrate AI agents directly into your terminal to automate commands, streamline scripting, and enhance developer workflows with practical examples.
- Automate Rust CLI CI/CD with GitHub Actions and Docker
You will learn to automate Rust CLI build, test, and release processes using GitHub Actions and Docker for secure, efficient deployment.
- 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.
- Building Custom Kiro Agents
Learn how to build custom Kiro agents for enhanced AI-driven development workflows.
- CI/CD Pipelines with AWS Kiro
Learn how to integrate AWS Kiro into your CI/CD pipelines for automated code reviews and more.
- Secure & Optimize Networks with PVLANs, VTP, GVRP, Voice VLANs
Learn to implement Private VLANs, VTP, GVRP, and Voice VLANs to enhance network security, optimize performance, and manage complex network segmentation.
- Provider Bridging: 802.1ad (QinQ) and Metro Ethernet
Learn how to implement, secure, automate, troubleshoot, and optimize QinQ deployments for robust provider networks.
- Understanding VXLAN, EVPN, and DCI for Data Centers
Learn how VXLAN, EVPN, and Data Center Interconnection enable scalable Layer 2 overlays and extend network services across modern data centers.
- Automate Cloud and On-Premises VLANs with Terraform IaC
Learn to automate VLAN management across cloud and on-premises networks using Terraform and Infrastructure as Code principles for consistent deployments.
- VLAN Security Best Practices for Threat Mitigation
Implement defense-in-depth strategies and configure security features to protect VLANs from common attack vectors, ensuring robust network security.
- VLAN Troubleshooting Methodologies and Tools
Learn systematic VLAN troubleshooting methods, tools, and advanced techniques for efficient network diagnostics.
- Zero Trust and Micro-Segmentation with VLANs/VXLAN
Explore Zero Trust and micro-segmentation architectures, leveraging VLANs and VXLAN for enhanced security and granular network isolation in modern enterprise and cloud environments.
- VLAN Performance Tuning and Optimization
Learn advanced strategies for optimizing VLAN performance and ensuring robust network operations.
- SD-WAN and Branch Office VLAN Deployments
Learn how to design, implement, and maintain scalable VLAN infrastructures for SD-WAN-enabled branch offices.
- Building a Secure Multi-Tenant Data Center with VXLAN/EVPN
Learn how to build a secure multi-tenant data center using VXLAN/EVPN, covering technical concepts, design, implementation, and security considerations.
- Building CI/CD with GitHub Actions
Learn how to set up CI/CD with GitHub Actions for automated builds, tests, and deployments.
- 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.
- What makes an AI system an \"agent\"?
Explains the concept of AI agents, their functions, and their growing importance in technology and business.
- CI/CD Basics with GitHub Actions
Learn how to set up CI/CD with GitHub Actions for automated testing and deployment.
- 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.
- Setting Up CI/CD with GitHub Actions
Learn how to set up a CI/CD pipeline for your Java project using GitHub Actions.
- Build Python Command-Line Utilities Using argparse
Readers will learn to build interactive command-line utilities in Python, accepting inputs from the terminal using the argparse module.
- Integrating Docker with CI/CD Pipelines
Learn how to integrate Docker with CI/CD pipelines for faster, more reliable application delivery.