Introduction:
Embarking on my cloud engineering journey, I stumbled upon an intriguing project on the Google Cloud Platform (GCP) resume challenge. Despite my limited knowledge, I decided to dive right in and explore the vast possibilities offered by cloud engineering. Little did I know that this project would present a series of hurdles to overcome and valuable lessons to learn. Join me as I recount my experiences and share the steps I took to create an impressive web application on GCP.
Step 1: HTML, CSS, and JS - A Designing Challenge
As a novice, I was well-versed in HTML, but designing my website using CSS and JavaScript proved to be more challenging than anticipated. Nevertheless, I embraced this opportunity to expand my skill set. Through persistence and a willingness to learn, I conquered the complexities of CSS and JavaScript, acquiring new knowledge and enhancing my design capabilities along the way.
Step 2: Storage Bucket, Load Balancer, and DNS - Navigating the Cloud Infrastructure
In this crucial step, I delved into the world of GCP's infrastructure. I acquired a DNS from hostinger and stored my website data in a multi-region storage bucket. To manage and distribute the incoming traffic effectively, I utilized a load balancer, which facilitated the control of HTTP/HTTPS traffic. By directing the DNS to the load balancer's IP, I ensured seamless navigation to my website. Though initially challenging, the experience was instrumental in understanding the foundational components of cloud infrastructure.
Step 3: Cloud Function and Firestore - Unleashing the Power of Python
Leveraging my proficiency in Python, I ventured into cloud functions and Firestore. While working with cloud functions, I encountered a learning curve involving new terminologies and the implementation of triggers. Additionally, I faced a stumbling block with my website's JavaScript code, which I resolved by discovering an enlightening YouTube video on the utilization of the fetch function. This breakthrough resolved a two-day struggle, showcasing the importance of perseverance and exploring various resources.
Step 4: Automation - Streamlining Backend Operations
Currently, I am immersed in the process of automating backend operations. The frontend repositories now communicate seamlessly with GCP, enabling the creation and copying of the required environments. I am nearing completion of the backend integration, including Loadbalancing and Firestore implementation within the Terraform file. This step signifies the culmination of my efforts, as I automate the essential backend processes, ensuring efficient and scalable operations.
Conclusion:
My journey into cloud engineering with GCP's resume challenge has been a remarkable adventure. From tackling design complexities to navigating cloud infrastructure, I have encountered numerous obstacles that ultimately propelled my growth. By sharing my experiences, I hope to inspire fellow beginners and emphasize the significance of perseverance and continual learning. As I continue to enhance my web application, I invite you to explore my site and refer to the accompanying documentation for further insights. Together, let's unlock the power of cloud engineering and embrace the limitless possibilities it offers.
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