AWS Lambda

What is Serverless : 

 Pay for what you use

Service automatically scales up or down accordingly. 

AWS Lambda allows upload the code to Amazon aws without the need of the server. 

AWS Lambda is a Function as a service (FaaS) which is a serverless architecture that developers can use to write custom backend functions and deploy the function code directly to the cloud infrastructure

It falls under the Compute services in AWS. 

Process :

1. Create a lambda function

2. Uplaod to AWS 

3. Test and trigger

Lambda execution models:

1. Synchronous 

2. Aysnchronous

3. Pull stream based

AWS Certified Cloud Practitioner Exam CLF-C02

Cloud Concepts - 24%

Security and Compliance - 30%

Cloud Technology and Services - 34%

Billing, Pricing and Support - 12%

AWS Storage

 1. S3 (Simple Storage Service) - File storage

2. Glacier

3. CloundFront

4. EBS (Elastic Block Stoarge) - Block storage

5. Storage Gateway

6. Snow Family

7. Databases

S3 Storage Class:

It is all about Object Storage through buckets. Objects could be a file or any chunk of data. AWS stores them and makes available to at least 3 available zones. 

Supports Encryption.

Ways to get data into S3 buckets:

1. Through API

2. AWS Direct Connect

3. Storage Gateway

4. Kinesis Firehose

5. Transfer Acceleration

6. Snowball, snowball edge and snowmobile

S3 Concepts:

1. Bucket

2. Regions

3. Objects

4. Keys

5. Object URLs

6. Eventual Consistency

7. Prefixes and Delimiters

Operations on S3:

1. Creating and deleting buckets

2. Reading objects

3. Writing objects

4. Deleting objects

AWS Compute

 1. EC2

2. Lambda

3. Batch

4. Serverless Application Repository

5. AWS Outposts

6. AWS App Runner

Cloud Computing and AWS

Internet-based solution which operates on other servers. We don't have details about the server infrastructure details. On-premise system piloted on other servers. 

Examples: Google Drive, Dropbox

Benefits:

  1. Cost reduced due to hardware sharing, operationa cost reduction as no one particularly managing physical servers and reduced deployment cost.

  2. Increased Resiliency, Performance and capacity (storage)

Models: 

Hybrid

IAAS (Infrastructure as a service) 

PAAS  (Platform as a service) - like webhosting

SAAS (Software as a service) - Email application like gmail 

 Players: 

 1. AWS 

  2. Azure 

  3. GCP

AWS History:

AWS launched first time with SQS in 2004.

2006 - EC2, S3 buckets

2007 - Simple DB solution

2008 - Elastic IP 

2009 - Management Console and VPC

2010 - Route 53, SNS, IAM

2011 - Elastic Cache

2012 - Dynamo DB

2013 - Kinesis and lots of new features

2014 - Redshift and 560 new features

2015 - CloudTrail and 720 new features

AWS Core Foundation elements:

Compute

Storage

Database

Network

Security 

Compute

1. EC2

2. Elastic Beanstalk

3. Lambda

4. Elastic Containers

Storage:

1. S3 - Storage of data in small chunks called Buckets

2. Glacier - used for archival purposes

3. Storage gateway

Databases:

1. Dynamo DB - NoSQL

2. ElasticCache - Fast retrieval

3. Redshift 

4. SnowBall

Network:

1. VPC

2. CloudFront

3 Route53 - DNS

4. ApiGateway

Management 

1. Cloud Watch

2. Cloud Formation

3. Cloud Trail

4. AutoScale

Media Services

1. Kinesis video streams

Machine Learning

1. Rekognition

Analtics

AWS Products Overview:

Security, Identity and Compliance:

IAM

Cognito

Cloud HSM

WAF and Shied

AWS Cost Management:

Mobile Services:

Mobile Hub

Application Integration:

SQS - handle application process

SNS - Getting notification

IOT

Regions and Availabilities: