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Serverless Microservices On Aws In 10 Hours

Course

SERVERLESS MICROSERVICES ON AWS IN 10 HOURS

Category

Amazon AWS Computer Courses

Eligibility

Freshers and Career Changers

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Amazon AWS What will you learn?

•Understand the concepts in Amazon AWS
•Learn by example, by writing exciting programs
•Learn To Create Amazon AWS Programs The Easy Way
•Different Amazon AWS practical questions asked during real time interviews .
•The Concepts Of Amazon AWS Language From Basic To advance
•Amazon AWS – Learn how to set up your Amazon AWS script.
•Easy learning Mastering Amazon AWS 4 with hands-on theory and practice guides
•Understand Amazon AWS and how to use to build web applications on to Amazon AWS.
•Get to know tips and tricks to work more quickly and effectively in Amazon AWS.

serverless microservices on aws in 10 hours Course Features

•Additional Sessions for Doubt Clearing
•Training by Industry expert professionals
•Flexible batch timings – Weekend & weekdays.
•Classes are Accessible on Website and Mobile Apps
•Highly Experienced Trainer with 10+ Years in MNC Company
•Access to a huge closet containing information about Hadoop
•Affordable fee structure to help as many students strive career in IT industry
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Amazon AWS

•Amazon Web Services Administration, Cloud Database Administration, Hadoop Bigdata Administration, Openstack Database Administration, Salesforce Database
•Java Developer, .net c#.net asp.net vb.net sqlserver, oracle, mainframe cobol cics db2 jcl, banking financial services, telecom, ccna ccnp networking mcse, W2
•Java, .NET, Software Testing, Android Developer, IOS Developer, Engineering, SAP, BI, PHP, UI Designer, Big Data, PHP5, HTML5, Linux
•OBIEE, OBIA, ODI, PHP, QA, Oracle Apps DBA, SQL Sever DBA, Dot Net Developer, Automation Testing, Informatica Developer, UI Designer, Agile PLM
•Sharepoint, Java J2ee, Oracle EBS, Peoplesoft, Oracle, Data, UI/ UX Designers/ Developers, HTML Developer, .net Developers, Mainframe, MBBS, AV Engineer, Audio

SERVERLESS MICROSERVICES ON AWS IN 10 HOURS Syllabus

•Building a Scalable Serverless Microservice REST Data API
•The Course Overview
•Monolithic and Microservice Architectures
•Virtual Machines Containers and Serverless Computing
•Serverless Computing in AWS
•Setting Up Your Serverless Environment in AWS
•Overview of Security in AWS
•Overview of AWS Identity and Access Management IAM
•Securing Your Serverless Microservice
•Building a Serverless Microservice Data API
•Setting Up a Lambda in the AWS Management Console
•Setting Up the API Gateway and Integrating It with a Lambda Proxy
•Creating and Writing to a NoSQL Database Called DynamoDB
•Creating a Lambda to Query DynamoDB
•Connecting API Gateway Lambda and DynamoDB
•Unit Testing Your Python Lambda Code
•Running and Debugging Your AWS Lambda Code Locally
•Integration Testing Using Real Test Data
•Performance and EndtoEnd Testing at Scale
•Overview of Serverless Stack Build and Deploy Options
•Creating an S Bucket IAM Policies and IAM Roles Resources
•Building and Deploying API Gateway Lambda and DynamoDB
•Building a Scalable Serverless Microservice Data API Conclusions
•Next Course
•Test Your Knowledge
•Implementing Serverless Microservices Architecture Patterns
•Overview of Microservice Integration Patterns
•Communication Styles and Decomposition Microservice Patterns
•Serverless Computing to Implement Microservice Patterns
•Implementing Database Per Service and Shared Database Patterns
•Accessing DynamoDB from API Gateway Via a Lambda Function
•Accessing DynamoDB Directly from API Gateway
•Implementing the Transaction Log Tailing Pattern
•Implementing the Saga Pattern
•Securing Your DynamoDB Databases
•Relational Versus NonRelational Databases
•Overview of Amazon Virtual Private Cloud
•Setting Up Amazon Virtual Private Cloud for Accessing RDS and Aurora
•Setting Up RDS and Accessing It from Your Local Network
•Accessing RDS from API Gateway Via a Lambda Function
•Accessing Aurora from API Gateway Via a Lambda Function
•Securing Your RDS and Aurora Databases
•API Gateway and API Composition Patterns
•Implementing the Serverless API Composition Patterns
•Event Sourcing and CQRS Patterns
•Architectures of the Serverless Event Sourcing Pattern
•Implementing the Serverless Event Sourcing Pattern
•Architectures of the Serverless CQRS Pattern
•Implementing the Serverless CQRS Pattern
•Securing Your Event Streams and Queries
•Monitoring and Observability Patterns
•Implementing Serverless Metrics and Health Check API Patterns
•Implementing the Serverless Centralized Logging Pattern
•Implementing the Serverless Audit Logging Pattern
•Implementing the Serverless Distributed Tracing Pattern
•Creating a Serverless Discovery Service and Catalogue
•Continuous Integration and Continuous Delivery
•Serverless Continuous Integration and Continuous Delivery Setup
•Using CodeCommit for the Serverless Data API Code
•Using CodeBuild to BuildTest the Serverless Data API Stack
•Using CodePipeline as CICD for the Serverless Data API Stack
•Using Other CICD Solutions with the Serverless Data API Stack
•When to Use and Not Use Serverless Computing
•Estimating Serverless Stack Costs
•Database and Event Streaming Scalability
•Web Scale Best Practices
•Virtual Machines, Containers, and Serverless Computing
•Overview of AWS Identity and Access Management (IAM)
•Connecting API Gateway, Lambda, and DynamoDB
•Performance and End-to-End Testing at Scale
•Creating an S3 Bucket, IAM Policies, and IAM Roles Resources
•Building and Deploying API Gateway, Lambda, and DynamoDB
•Relational Versus Non-Relational Databases
•Using CodeBuild to Build-Test the Serverless Data API Stack
•Using CodePipeline as CI/CD for the Serverless Data API Stack
•Using Other CI/CD Solutions with the Serverless Data API Stack
•When to Use and Not Use Serverless Computing?
•Conclusion