Responsible for overseeing a company's cloud  (Amazon Web Services (AWS))

 

is one of the most widely used cloud platforms, and the go-to for many organizations looking to reduce costs by adopting a cloud infrastructure strategy.    design your infrastructure to prevent failure.  

  • Exploring monitoring tools

  • Understanding CloudWatch

  • Using CloudWatch alarms

  • Monitoring EC2 memory

  • Using AWS Config

  • Understanding AWS logging and ElasticSearch

  • Combining CloudWatch and Lambda

  • Benefits of cloud services

  • Making architectures scalable

  • Examining cloud constraints

  • Virtual servers, EC2, and Elastic IP

  • Using the Amazon machine image

  • Elastic load balancing

  • Using CloudWatch for monitoring

  • Security Models

  • Elastic block storage

  • S3, CloudFront, and Elastic Beanstalk

  • Handling queues, workflows, and notifications

  • Caching options and services

  • Identity and access management

  • Creating a custom server image

  • Application deployment strategies

  • Serverless architectures

  • Why cloud tools matter

  • Storage choices on AWS

  • RDBMSs such as Core RDS, Aurora, and Oracle

  • Working with semistructured data in NoSQL

  • Connecting to data warehouses such as AWS Redshift and Snowflake

  • Graph databases and AWS Machine Learning

  • Working with Hadoop

  • Common data scenarios and architectures

  • Setting up your AWS account

  • Using AWS tools

  • Defining your minimum viable products 

  • Choosing computer, storage, and data services

  • Using S3, EC2, or Docker for website hosting

  • Developing an AWS website

  • Using a data warehouse

  • Developing a data processing pipeline

  • Developing an Internet of Things project with AWS

  • Understanding approaches to monitoring

  • Matching business application priorities to monitoring approaches

  • Tools for monitoring and logging

  • Monitoring core AWS Services

  • Using CloudFormation templates

  • Monitoring S3, EC2, Lambda, RDS, Kinesis, and EMR

  • Using core AWS tools for metrics and logging

  • Using AWS services for advanced monitoring

  • Simplifying HA with services

  • Metrics, tools, and levels of monitoring

  • Self-healing architectures

  • Scaling S3, EC2, ECS, Lambda, ElastiCache, and more

  • Script and code tools

  • Setting up the AWS CLI and SDK

  • Using third-party tools​

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