AWS Module 10 - Automatic Scaling and Monitoring

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Section 1: Load Balancing

• Distributes incoming app or network traffic across multiple targets in a single or multiples AZ
• Scales your load balance as traffic to your aapp changes over time

Types of loads balancers

How Elastic Loads Balancing works

• With Application Load Balncers and Network Load Balancers, you register targets in traffic to the target groups
• With Classic Load Balancers, you register instance with the load balancer
• Load balancer performs health checks to monitor health of registered targets

Elastic Load Balancing use cases

• High available and fault-tolerant app
• Containerized app
• Elasticity and scalability
• VPC
• Hybrid environments
• Incoke Lambad functions over HTTP(S)

Load balancer monitoring

• Amazon CloudWatch metrics
  • Used to verify that the system is performing as expected and creates an alarm to initiate an action if a metric goes outside an acceptable range
• Access logs
  • Capture detailed information about requests sent to your load balancer
• AWS CloudTrail logs
  • Capture the who, what, when, and where of API interactions in AWS services

Section 2: Amazon CloudWatch

Monitoring AWS resources

To use AWS efficiently, you need insight into your AWS resources:

• How do you know when you should launch more Amazon EC2 instances ?
• Is your app’s performance or availability being affected by a lack of sufficient capacity ?
• How much of your infrastructure is actually being used ?

Amazon CloudWatch

• Monitors
  • AWS resources
  • App that run on AWS
• Collect and track
  • Standard metrics
  • Custom metrics
• Alarms
  • Send notifications to an Amazon SNS topic
  • Perform Amazon EC2 Auto Scaling or Amazon EC2 actions
• Events
  • Define rules to match changes in AWS environment and route these events to one or more target functions or streams for processing

CloudWatch alarsm

• Create alarms basde on
  • Static threshold
  • Anomlay detection
  • Metric math expression
• Specify
  • Namespace
  • Metric
  • Statistic
  • Period
  • Conditions
  • Additional configuration
  • Actions

Section 3: Amazon EC2 Auto Scaling

Why is scaling important ?

Scaling is the ability ot increase of decrease the compute capacity of your app.

• First graph: unused capacity on most days of the week, not cost optimized
• Second graph: under capacity on certain days

Automatic capacity scaling is necessary to support the fluctuating demands for service.

Amazon EC2 Auto Scaling

• Hels you maintaint app
• Enables you to automatically add or remove EC2 instances according to conditions that you define
• Detects impaired EC2 instances and unhealthy app, and replaces the instances without your intervention
• Provides several scaling options
  • Manual
  • Scheduled
  • Dynamic (on-demand)
  • Predictive

Typical weekly traffic at Amazon.com

November traffic to Amazon.com

Auto Scaling groups

An Auto Scaling group is a collection of EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management.

Scaling ou vs scaling in

How Amazon EC2 Auto Scaling works

Implementing dynamic scaling

AWS Auto Scaling

• Monitors you app and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost
• Provides a simple, powerful user interface that enables you to build scaling plans for resources, including
  • Amazon EC2 instances and Spot Fleet
  • Amazon Elastic Container Service (Amazon ECS) Tasks
  • Amazon DynamoDB tables and indexes
  • Amazon Aurora Replicas

Wrap-up

Which service would you sue to send alerts base on Amazon CloudWatch alarms ?

1. Amazon Simple Notification Service
2. AWS CloudTrail
3. AWS Trusted Advisor
4. Amazon Route 53

Answer

Keywords:

• send alerts
• Amazon CloudWatch Alarms

Answer: 1.