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Course Outline
Core Principles of Cloud Operations on AWS
- Defining operational roles and responsibilities within the cloud landscape
- Structuring AWS accounts, organizations, and implementing multi-account strategies
- Key operational services: CloudWatch, CloudTrail, and AWS Config
Infrastructure as Code and Automated Provisioning
- Foundational principles of IaC and the benefits of immutable infrastructure
- Executing provisioning tasks using Terraform and AWS CloudFormation
- Managing state files, modules, and promoting environments effectively
CI/CD Pipelines and Deployment Methodologies
- Architecting CI/CD pipelines for cloud-native applications
- Implementing blue/green, canary, and rolling deployment strategies
- Automating rollbacks, health checks, and release validation processes
Monitoring, Observability, and Alerting Mechanisms
- Handling metrics, logs, and traces: collection, storage, and analysis
- Utilizing CloudWatch, X-Ray, and third-party observability platforms
- Establishing SLOs/SLIs, defining alerting policies, and managing on-call rotations
Security Operations and Identity Governance
- Applying IAM best practices, enforcing least privilege, and managing cross-account access
- Managing secrets, KMS, and securing parameter stores
- Operational security measures: patching strategies, vulnerability scanning, and maintaining audit trails
Resilience, Backup, and Disaster Recovery Strategies
- Designing systems for fault tolerance and high availability
- Developing backup strategies, automating snapshots, and defining restore procedures
- Formulating disaster recovery plans and creating comprehensive runbooks
Cost Optimization and Governance Frameworks
- Gaining cost visibility through billing analysis, tagging, and cost allocation strategies
- Rightsizing resources, utilizing reserved instances/savings plans, and controlling budgets
- Ensuring governance through policies, guardrails, and compliance automation
Containers, Serverless Architecture, and Runtime Management
- Operational considerations for ECS, EKS, and Lambda services
- Managing service discovery, autoscaling, and resource constraints
- Logging, tracing, and debugging containerized workloads
Incident Response, Playbooks, and Chaos Engineering
- Conducting runbook-driven incident response and executing postmortem analyses
- Automating remediation tasks and implementing self-healing patterns
- Introduction to chaos engineering experiments for validating system resilience
Practical Workshop: Managing a Sample Workload
- Deploying a sample application utilizing IaC and a CI/CD pipeline
- Configuring monitoring, alerts, and automated remediation scripts
- Simulating incidents and practicing runbook-based response protocols
Conclusion and Future Directions
Requirements
- Foundational knowledge of cloud computing concepts and networking principles
- Proficiency with the Linux command line and scripting languages
- Practical experience with source control systems (Git) and fundamental CI/CD workflows
Target Audience
- Cloud operations engineers
- Site Reliability Engineers (SREs) and platform engineers
- DevOps engineers and technical team leaders
21 Hours
Testimonials (1)
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