Abdelrahman Omran

This course equipped us to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine and Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in both courses. Through a combination of presentations, design activities, and hands-on labs, we learned to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

Learnings:

• Secure cloud applications, data, and infrastructure.
• Apply a tool set of questions, techniques, and design considerations.
• Decompose application requirements to find the right microservice boundaries.
• Define application requirements and express them objectively as KPIs, SLOs and SLIs.
• Leverage Google Cloud developer tools to set up modern, automated deployment pipelines.
• Implement reliable, scalable, resilient applications balancing key performance metrics with cost.
• Choose the appropriate Cloud Storage services based on application requirements.
• Choose the right Google Cloud deployment services for our applications.
• Monitor service level objectives and costs using Google Cloud tools.
• Architect cloud and hybrid networks.

Skills: Disaster Recovery, Site Reliability Engineering, Google Cloud Platform, Cloud Computing