WAN NORAZIRA BINTI WAN AZHAR AMRAN

LINK [ WAN NORAZIRA ] VIDEO REFLECTION

https://youtu.be/40fYVF6W8BY

1) Mini Report

The reason I'm joining this program because I'm really interest about the Phyton programming considering how the current job applied Phyton language. Even though I'm in charge in multimedia, I really want to learn about the Phyton language. This program also shortly explained the basic programming used in this coding which is make more easier to understand the language. For the graduate attributes, this program emphasizes communication and effectives teamwork skills. It is because there are some activity like mentor mentee where the mentor can gives an explanation if the mentee have difficult to solve given the question given in this program. This program first start when all the participant register the event. Next, the teaching session start by teaching a basic Phyton language. After that, the mentor mentee session start and lastly take a picture together.

2)Self Reflection

During the Phyton programming program, I had numerous opportunities to collaborate with with fellow participants and mentor especially on quiz time. Trough these team-based activities  I developed essential teamworking skills and experienced the impact it had on my learning and personal growth. One notable impact was an improvement in my communication skills within a mentor and mentee setting. Although I'm a multimedia committee in this program, working  to helps others  members from different committee and skill sets allowed me to enhance my ability to effectively convey ideas, actively listen to others, and provide constructive feedback. This strengthened my overall communication skills and fostered a collaborative and productive team environment. Throughout the Python programming program, I was able to identify and leverage my self-strengths and advantages, which played a significant role in my success and growth. Here are some key self-strengths and advantages that I discovered during the program that is Strong problem-solving skills, solid foundation in thinking and adaptability and quick learning. Understanding and using more complex programming concepts and techniques proved to be one of my challenges. I dug further into more challenging subjects like object-oriented programming, data structures, and algorithm design as the programme went on.  At first, I had a hard time understanding these ideas and using them in my code, but I able to overcome this challenge by engaging in practice and coding exercises. I dedicated extra time to practicing coding exercises related to the challenging topics.

AWS, or Amazon Web Services, is an online platform that offers scalable and cost-effective cloud computing solutions. As we can see, since AWS services were created in 2002, they have made significant contributions to the globe, as seen by the fact that in 2019, AWS released about 100 cloud services. AWS recorded $14.8 billion in net revenue in the second quarter of 2021, putting it ahead of competing cloud computing platforms like Microsoft Azure. AWS has considerably surpassed its competitors in terms of size and presence in the computing world. According to one independent analysis, AWS holds over a third of the market (32.4 percent), followed by Azure (20 percent), and Google Cloud (9 percent) in the first quarter of 2021.

I've already seen ten AWS modules that have given me a thorough understanding of how AWS works. From module 1, I can define the AWS (Amazon Web Services) is Amazon's complete cloud computing platform, which comprises infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) product. I also learned that AWS pricing philosophy offers a pay-as-you-go pricing model for over 200 cloud services in module 2. In module 3, I can identify there are four global components of AWS and that is availability zones, region, edge locations and regional edge caches. The global infrastructure is built to help the customers to achieve lower latency and higher throughput, and to ensure that their data resides only in the AWS Region they specify. In module 4, I learned on how to secure my workloads and applications in the cloud as AWS provides you a data protection as AWS offers services to help you safeguard your data, accounts, and workloads from illegal access. AWS data security services monitor protects your accounts and workloads by encrypting and managing keys, as well as detecting threats. I also was able to create an AWS  Virtual  Private  Cloud and demonstrate when  to  use Amazon  Elastic Compute  Cloud  (EC2),  AWS Lambda  and  AWS  Elastic  Beanstalk by watching the video given in AWS module 5 and 6. From module 7, I can differentiate between Amazon  S3,  Amazon  EBS,  Amazon  EFS  and  Amazon S3  Glacier by comparing these based on characteristics for storage type, accessibility, availability, durability, size of data, usability, pricing, scalability to its users, performance and geographic interchangeability. The Well-Architected framework was created to aid cloud architects in the creation of the most secure, high-performing, resilient, and efficient infrastructure for their applications. This framework gives customers and partners a uniform way to analyse architectures, as well as direction on how to develop designs that will grow with your application's needs over time in module 9. Security, dependability, performance efficiency, cost optimization, and operational excellence are the five pillars of the AWS Well-Architected Framework. Lastly, I watched the module 10 video which explain about Elastic  Load  Balancing (ELB),  Amazon CloudWatch,  and  Auto  Scaling. For Amazon Web Services (AWS) installations, Elastic Load Balancing (ELB) is a load-balancing service. ELB distributes incoming application traffic automatically and scales resources to suit demand. An IT team can use ELB to change capacity based on incoming application and network traffic. Meanwhile, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, and visualizes it using automated dashboards so you can get a unified view of your AWS resources, applications, and services that run on AWS and on premises. AWS Auto Scaling continuously analyses your applications and adjusts capacity as needed to ensure consistent, predictable performance at the lowest feasible cost. AWS Auto Scaling simplifies scaling by providing recommendations that help you maximise performance, costs, or a combination of the two.

AWS, or Amazon Web Services, is an online platform that offers scalable and cost-effective cloud computing solutions. As we can see, since AWS services were created in 2002, they have made significant contributions to the globe, as seen by the fact that in 2019, AWS released about 100 cloud services. AWS recorded $14.8 billion in net revenue in the second quarter of 2021, putting it ahead of competing cloud computing platforms like Microsoft Azure. AWS has considerably surpassed its competitors in terms of size and presence in the computing world. According to one independent analysis, AWS holds over a third of the market (32.4 percent), followed by Azure (20 percent), and Google Cloud (9 percent) in the first quarter of 2021.

I've already seen ten AWS modules that have given me a thorough understanding of how AWS works. From module 1, I can define the AWS (Amazon Web Services) is Amazon's complete cloud computing platform, which comprises infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) product. I also learned that AWS pricing philosophy offers a pay-as-you-go pricing model for over 200 cloud services in module 2. In module 3, I can identify there are four global components of AWS and that is availability zones, region, edge locations and regional edge caches. The global infrastructure is built to help the customers to achieve lower latency and higher throughput, and to ensure that their data resides only in the AWS Region they specify. In module 4, I learned on how to secure my workloads and applications in the cloud as AWS provides you a data protection as AWS offers services to help you safeguard your data, accounts, and workloads from illegal access. AWS data security services monitor protects your accounts and workloads by encrypting and managing keys, as well as detecting threats. I also was able to create an AWS  Virtual  Private  Cloud and demonstrate when  to  use Amazon  Elastic Compute  Cloud  (EC2),  AWS Lambda  and  AWS  Elastic  Beanstalk by watching the video given in AWS module 5 and 6. From module 7, I can differentiate between Amazon  S3,  Amazon  EBS,  Amazon  EFS  and  Amazon S3  Glacier by comparing these based on characteristics for storage type, accessibility, availability, durability, size of data, usability, pricing, scalability to its users, performance and geographic interchangeability. The Well-Architected framework was created to aid cloud architects in the creation of the most secure, high-performing, resilient, and efficient infrastructure for their applications. This framework gives customers and partners a uniform way to analyse architectures, as well as direction on how to develop designs that will grow with your application's needs over time in module 9. Security, dependability, performance efficiency, cost optimization, and operational excellence are the five pillars of the AWS Well-Architected Framework. Lastly, I watched the module 10 video which explain about Elastic  Load  Balancing (ELB),  Amazon CloudWatch,  and  Auto  Scaling. For Amazon Web Services (AWS) installations, Elastic Load Balancing (ELB) is a load-balancing service. ELB distributes incoming application traffic automatically and scales resources to suit demand. An IT team can use ELB to change capacity based on incoming application and network traffic. Meanwhile, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, and visualizes it using automated dashboards so you can get a unified view of your AWS resources, applications, and services that run on AWS and on premises. AWS Auto Scaling continuously analyses your applications and adjusts capacity as needed to ensure consistent, predictable performance at the lowest feasible cost. AWS Auto Scaling simplifies scaling by providing recommendations that help you maximise performance, costs, or a combination of the two.