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Duration 21 hours
Course Outline
Core Principles of Cloud Operations on AWS
- Operational duties and responsibilities within the cloud ecosystem
- AWS account architecture, organizational structure, and multi-account strategies
- Essential operational services: CloudWatch, CloudTrail, and AWS Config
Infrastructure as Code and Provisioning Techniques
- Key principles of IaC and the concept of immutable infrastructure
- Infrastructure provisioning using Terraform and AWS CloudFormation
- Handling state management, modules, and promoting changes across environments
CI/CD Pipelines and Deployment Strategies
- Architecting CI/CD pipelines for cloud-native applications
- Execution of blue/green, canary, and rolling deployment methods
- Automating rollback procedures, health checks, and release verification
Monitoring, Observability, and Alerting Mechanisms
- Managing metrics, logs, and traces: collection, storage, and analysis
- Leveraging CloudWatch, X-Ray, and third-party observability platforms
- Establishing SLOs/SLIs, alerting rules, and on-call operational practices
Security Operations and Identity Governance
- IAM best practices, the principle of least privilege, and cross-account access controls
- Managing secrets, KMS, and secure parameter stores
- Operational security measures: patching strategies, vulnerability scanning, and audit logging
Resilience, Backup, and Disaster Recovery Planning
- Designing systems for fault tolerance and high availability
- Backup methodologies, snapshot automation, and data restoration procedures
- Formulating disaster recovery plans and creating operational runbooks
Cost Optimization and Governance Frameworks
- Achieving cost visibility: billing analysis, tagging, and cost allocation tactics
- Rightsizing resources, utilizing reserved instances/savings plans, and enforcing budget controls
- Governance implementation: policies, guardrails, and compliance automation
Containers, Serverless Architectures, and Runtime Management
- Operational aspects of ECS, EKS, and Lambda
- Service discovery, autoscaling configurations, and resource limitation settings
- Logging, tracing, and debugging for containerized workloads
Incident Response, Playbooks, and Chaos Engineering
- Runbook-based incident management and postmortem analysis practices
- Automating remediation tasks and implementing self-healing patterns
- Introduction to chaos experiments for testing system resilience
Practical Workshop: Managing a Sample Workload
- Deploying a sample application using IaC and an integrated CI/CD pipeline
- Setting up monitoring, alerts, and automated remediation scripts
- Simulating incidents and executing runbook-driven responses
Conclusion and Recommended Next Steps
Requirements
- Fundamental grasp of cloud concepts and networking principles
- Proficiency with the Linux command line and scripting languages
- Working knowledge of source control systems (Git) and basic CI/CD principles
Target Audience
- Cloud operations engineers
- Site Reliability Engineers (SREs) and platform engineers
- DevOps engineers and technical team leaders
Testimonials (1)
I've find out new interesting things about Lambda and Serverless
