Continuous Integration (CI) is the practice of frequently merging code changes from multiple contributors into a shared repository, followed by automated builds and tests to ensure the changes integrate well. Continuous Deployment (CD), on the other hand, is the process of automatically deploying code changes to production after they have passed through the CI process. CD ensures that software can be released reliably whenever desired.

Infrastructure as Code (IaC) involves managing and provisioning infrastructure through code and automation, rather than through manual processes. Tools like Terraform or AWS CloudFormation allow me to define infrastructure configurations in files that can be versioned and reused. This approach ensures consistency, reduces errors, and speeds up the provisioning process.

Effective monitoring involves using tools like Prometheus, Grafana, or Datadog to collect metrics and logs from various parts of the system. By setting up alerts for critical metrics, we can proactively address issues. Additionally, performance tuning can be done by analyzing these metrics, optimizing queries, scaling resources, and implementing caching strategies.

Ensuring high availability involves designing systems with redundancy and failover mechanisms. This can include using load balancers, multiple availability zones, and automatic failover configurations. For disaster recovery, regular backups, replication of data, and having a documented recovery plan are crucial. Regular drills and updates to the plan ensure readiness for any potential disaster.

I have extensive experience with Docker for containerization, which allows for consistent deployment environments. For orchestration, I've used Kubernetes to manage containerized applications across clusters. Kubernetes provides powerful features like auto-scaling, rolling updates, and self-healing, which are essential for managing microservices architectures efficiently.