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Course Outline
Core Principles of Cloud Operations on AWS
- Defining operational roles and duties in cloud environments.
- Understanding AWS account hierarchies, organizational structures, and multi-account strategies.
- Key operational tools: CloudWatch, CloudTrail, and AWS Config.
Infrastructure as Code and Automated Provisioning
- IaC fundamentals and the concept of immutable infrastructure.
- Building infrastructure using Terraform and AWS CloudFormation.
- Handling state management, modular design, and environment promotion.
CI/CD Frameworks and Deployment Tactics
- Architecting CI/CD pipelines for cloud-native applications.
- Implementing blue/green, canary, and rolling deployment models.
- Automating rollback mechanisms, health checks, and release verification.
Monitoring, Observability, and Alerting Systems
- Managing metrics, logs, and traces: collection, storage, and analysis.
- Leveraging CloudWatch, X-Ray, and external observability platforms.
- Establishing SLOs/SLIs, alerting policies, and on-call protocols.
Security Operations and Identity Governance
- IAM best practices, enforcing least privilege, and managing cross-account access.
- Managing secrets, utilizing KMS, and securing parameter stores.
- Operational security measures: patch management, vulnerability scanning, and audit logging.
Resilience, Backup, and Disaster Recovery
- Building for fault tolerance and high availability.
- Formulating backup plans, automating snapshots, and executing restore processes.
- Developing disaster recovery strategies and creating operational runbooks.
Cost Optimization and Governance
- Enhancing cost visibility through billing analysis, tagging, and allocation strategies.
- Optimizing resources via rightsizing, reserved instances/savings plans, and budget controls.
- Enforcing governance through policies, guardrails, and compliance automation.
Containers, Serverless, and Runtime Management
- Operational nuances for ECS, EKS, and Lambda.
- Managing service discovery, autoscaling, and resource constraints.
- Logging, tracing, and debugging containerized workloads.
Incident Response, Playbooks, and Chaos Engineering
- Executing runbook-based incident response and conducting postmortems.
- Automating remediation and implementing self-healing architectures.
- Introduction to chaos experiments for testing system resilience.
Practical Workshop: Managing a Sample Workload
- Deploying a sample application using IaC and CI/CD pipelines.
- Setting up monitoring, alerts, and automated remediation scripts.
- Simulating incidents to practice runbook-driven responses.
Recap and Future Directions
Requirements
- Foundational knowledge of cloud architecture and networking principles.
- Proficiency in Linux command-line interfaces and scripting.
- Working experience with source control (Git) and fundamental CI/CD concepts.
Target Audience
- Cloud operations engineers.
- Site Reliability Engineers (SREs) and platform engineers.
- DevOps engineers and technical leadership.
21 Hours
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