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This lesson introduces the core processes for building and deploying cloud-native applications, focusing on the architect's role. We will start with an overview of the Software Development Lifecycle (SDLC) phases (Analysis, Design, Development, etc.) to establish a foundational understanding. The main focus will be on modern Continuous Integration/Continuous Delivery (CI/CD) practices. We will cover the business drivers for CI/CD, such as accelerating feature delivery and improving reliability. Key technical components of a CI/CD pipeline will be analyzed, including version control systems (like Git), secure secrets management (e.g., Google's Secret Manager), and automated build/test/deployment tools (e.g., Google Cloud Build). The concept of GitOps will be introduced as a declarative approach to infrastructure and application management.
This lesson introduces AWS CloudTrail as the foundational service for auditing and governance. We will cover its core function of recording all user activity and API usage across an AWS account. The session will differentiate between the two main types of logged events: Management Events (control plane operations like creating an EC2 instance) and Data Events (high-volume, data-plane operations like S3 object access). We will explore the default 90-day Event History and then explain the necessity of creating a "Trail" to deliver immutable, long-term log files to an S3 bucket for security analysis and compliance. A key focus will be on the log file integrity validation feature, which ensures logs have not been tampered with. The lesson will conclude with a practical walkthrough of the CloudTrail console to view recent events.
This lesson establishes the foundational knowledge for selecting appropriate storage solutions on GCP. It begins by covering the key decision-making criteria for any storage system, such as data structure, access patterns, consistency models, and latency requirements. The main focus will be a deep dive into Google Cloud Storage, the primary service for unstructured data. We will cover the hierarchy of projects, buckets, and objects, and best practices for naming buckets to avoid performance issues ('hotspotting'). A significant portion will be dedicated to understanding and comparing the four main storage classes: Standard, Nearline, Coldline, and Archive, analyzing the trade-offs between cost and retrieval time for each. The lesson will conclude with an overview of location options (regional, dual-regional, multi-regional) and their impact on availability and performance.
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