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Development with AWS Services - Domain 1 - Coggle Diagram
Development with AWS Services - Domain 1
Develop code for app hosted on AWS
Patterns
Orchestration
Step Functions can use to orchestrate workflows
Can handle states Amazon EventBridge could be better
Fanout
publish messages for several endpoints
Event-driven
AWS Step Function to monitor workflow design and do tasks
Syncrhonous and asynchronous
AWS Services depth
AWS SDK
The build of your development
AWS CloudFormation
API Gateway
AWS SAM
Amazon Cognito
CodeBuild
Amazon DynamoDB
Tips
Dive deeper to use Amazon SQS, Amazon SNS, Amazon Kinesis Data Streams, Amazon Kinesis Services, Amazon DynamoDB streams, AWS Internet of Tings, Amazon MQ, AWS Step Functions and your microservice architecture in AWS.
Develop code for AWS Lambda
handle errors
integrate AWS service integrations
Process items from a stream
Configure permissions
Define environment variables
Tune your functions
Invoke functions
know how to optmize
Memory
Initialization
AWS Services
Filtering
Use data stores in application development
Data Strategy
Use appropriate data store for requirements and specific data
Choose the appropriate database consistency model
Use, manage, and maintain data stores
Both read and write calculations
Tips
Learn databases, Aurora, RDS, DynamoDB
Global secondary indexes good to know
Ensure to understand patterns storage
Storage patterns
Ephemeral and persist storage
Required throughput
Frequency of access and update
Availability and durability
Data persistence layer
Integrity, confidentiality, availability
Lifecycle management
Data management
Integrity, confidentiality, availability
Persistent data stores
Caching
Keys and schema design
Scans and queries
Tips
dive deeper caching
Loading the data to store ETL tools: AWS Glue, Glue catalog, EMR, Lambda, Kinesis, Data Pipeline and more
Dive deep DynamoDb and partition keys. Differences and queries and scans
Walk through
tips
looking for key words
identify the correct response