*** Brand New Course 2017: up-to-date content ***
*** NEW: Amazon ECS and Amazon Kinesis (Stream, Firehose, Analytics) lectures added ***
Become An Expert In AWS - Concept, Handson, 450+ Exam Prep Questions, In-depth Coverage
AWS Certified Solutions Architect Guide & Question Bank provides a structured introduction to AWS and prepares you to get certified at the Associate Level (Architect, Sysops Admin, Developer).
This is the second and concluding part of the two-part course series on getting certified at Associate Level. (NOTE: For Part 1, Look for the course 1. AWS Certified Solutions Architect Guide & Question Bank)
In Part 1 of this course, we learned about core services that form the foundation of AWS Cloud Platform. That included networking, storage, compute, automatic scaling, security, monitoring and tools for estimating cost of a solution.
In this course, we will start with services that offer Queueing, Notification and Email capabilities. Then we will focus on Lambda server-less compute capability provided by AWS and API Gateway to provide RESTful front end for your Lambda functions. AWS also provides a range of Cloud Database offerings including RDS, NoSQL, In-Memory, Columnar, ElasticSearch and we will explore what their strengths and weaknesses are. Learn how to manage streaming data with Amazon Kinesis (Stream, Firehose, Analytics). Learn about Amazon ECS, Containers and Dockers. This course also introduces programmatic integration of AWS Services from your application.
As we learn these topics, we will look into architectural best practices and patterns for building cost-effective and highly scalable solutions. We will also look at disaster recovery options that are enabled by AWS.
At-Least-Once Delivery, Sampling, Exactly-Once Processing, Deduplication
Feedback Loop For Email Hard Bounce, Soft Bounce, Spam Complaint, Auto Response, Delivered
A must watch video (60 minutes)
Direct Link: https://www.youtube.com/watch?v=b7UMoc1iUYw
"As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility."
Setup VPC, Subnet Group, Security Group, EC2 instance, MySQL Client Install, MySQL WorkBench Install
***After completing installation of Anaconda Python, restart your machine for the new settings to take effect. ***
Please download aws_integration_check.zip and unzip to extract the ipynb file
Please download dynamoDB_integration.zip and unzip to extract the ipynb file
Chandra Lingam spent 15 years at Intel, developing and managing systems that handled hundreds of terabytes of worldwide factory data.
Chandra is an expert on Amazon Web Services, mission critical systems and machine learning. He has a rich background in systems development in both traditional IT data center and Cloud based infrastructure. For those new to AWS, he is uniquely positioned to guide you to become an expert in AWS Cloud Platform.
He has a Master's degree in Computer Science from ASU and Bachelor's degree in Computer Science from Thiagarajar College of Engineering, Madurai