Introduction to Cloud Computing

  Cloud Automation This week’s focus on cloud automation highlighted how powerful automated processes can be in improving efficiency, accuracy, and scalability in cloud environments. Automation in the cloud leverages software-driven solutions to handle routine, repetitive, or complex tasks with minimal human intervention. Examples include automatically provisioning or decommissioning virtual machines, configuring virtual networks, or deploying an entire cloud environment. One key takeaway from this module is that automation is only as good as the planning behind it . Predictable configurations, clear workflows, and proper triggers are essential for ensuring automated systems work as intended. The technology itself is powerful, but without well-documented processes and adequate user training, organizations risk misconfigurations or security oversights. The readings and resources reinforced how automation ties into both operational efficiency and security: AWS Systems Manager...

  Cloud Observability and Disaster Recovery: Keys to Resilient Cloud Operations This week’s learning focused on two critical aspects of managing cloud environments: observability and disaster recovery planning . As organizations increasingly rely on cloud services, understanding how to monitor resources effectively and prepare for inevitable disruptions is essential. Observability in the cloud means having the tools and processes in place to gain real-time insights into system performance and health. Services like Amazon CloudWatch , Azure Monitor , and Google Cloud’s monitoring tools enable IT teams to collect logs, metrics, and traces that help quickly detect anomalies or bottlenecks. This visibility is crucial for maintaining optimal performance while controlling costs, as it lets teams respond proactively before minor issues escalate. Another major takeaway for me is the importance of capacity management  planning and scaling cloud resources to meet demand without ov...