Greetings, fellow learners! Today marks another insightful chapter in my AWS DevOps certification journey, and I'm eager to share the knowledge gained on Day 7 through Stéphane Maarek's Udemy course.
💡 Course Progress - Day 7: Unveiling AWS Auto Scaling, ALB Rules, Multi-AZ Architectures, and More!
As we navigate through AWS intricacies, let's delve into the diverse topics covered and gain valuable insights for our cloud endeavors.
🔍 Key Learnings
🌐 AWS Auto Scaling Groups
AWS Auto Scaling Groups is a service that automatically adjusts the number of Amazon EC2 instances in a group based on the demand for the application. Auto Scaling Groups can be used to maintain application availability and scale capacity up or down based on the application’s needs.
🔄 Auto Scaling Policies
Auto Scaling Policies are rules that define how Auto Scaling should adjust the number of instances in a group based on changes in demand. Auto Scaling Policies can be used to scale up or down the number of instances in a group based on metrics such as CPU utilization, network traffic, or other custom metrics.
🔄 Lifecycle Hooks in Auto Scaling Groups
Auto Scaling Lifecycle Hooks are a way to perform custom actions when instances are launched or terminated in an Auto Scaling Group. Lifecycle Hooks can be used to perform tasks such as installing software, configuring instances, or performing other custom actions.
🌐 Event Notification in Auto Scaling Group
Event Notification in Auto Scaling Group is a feature that allows you to receive notifications when certain events occur in your Auto Scaling Group. You can use Amazon SNS or Amazon EventBridge to receive notifications when instances are launched or terminated, or when other events occur in your Auto Scaling Group.
🔄 Termination Policies in Auto Scaling Group
Termination Policies in Auto Scaling Group are rules that determine which instances should be terminated when scaling in. Termination Policies can be used to control which instances are terminated first when scaling in, based on criteria such as instance age, launch configuration, or other custom criteria.
🌐 Warm Pools in Auto Scaling Group
Warm Pools in Auto Scaling Group is a feature that allows you to maintain a pool of pre-warmed instances that can be used to quickly scale up your application. Warm Pools can be used to reduce the time it takes to launch new instances when scaling up, by keeping a pool of pre-warmed instances ready to use.
🌐 Application Auto Scaling
Application Auto Scaling is a service that lets you automatically scale resources in response to demand for your applications. Application Auto Scaling can be used to scale Amazon EC2 instances, Amazon ECS tasks, Amazon DynamoDB tables, and other AWS resources.
🌐 Elastic Load Balancer ALB Rules
Elastic Load Balancer ALB Rules are a way to route traffic to different target groups based on the content of the request. ALB Rules can be used to route traffic based on the URL path, host header, HTTP header, or query string parameters.
🔒 NAT Gateway
NAT Gateway is a service that allows you to provide outbound internet connectivity to resources in a private subnet. NAT Gateway can be used to allow resources in a private subnet to access the internet, while still maintaining a secure environment.
🔄 Multi-AZ Architectures in AWS
Multi-AZ Architectures in AWS are architectures that span multiple Availability Zones in a region. Multi-AZ Architectures can be used to provide high availability and fault tolerance for applications, by ensuring that resources are available even if an entire Availability Zone becomes unavailable.
🔄 Blue-Green Architecture
Blue-Green Architecture is a deployment strategy that involves running two identical environments, one active and one inactive. Blue-Green Architecture can be used to minimize downtime during deployments, by switching traffic from the inactive environment to the active environment once the deployment is complete.
🌐 Multi-Region Architecture in AWS
Multi-Region Architecture in AWS is an architecture that spans multiple regions. Multi-Region Architectures can be used to provide high availability and disaster recovery for applications, by ensuring that resources are available even if an entire region becomes unavailable.
🚨 AWS Disaster Recovery
AWS Disaster Recovery is a set of tools and services that can be used to recover from disasters such as natural disasters, cyber-attacks, or other events that can cause data loss or downtime. AWS Disaster Recovery can be used to replicate data across regions, automate failover, and provide other disaster recovery capabilities.
🕐 RTO (Recovery Time Objective) and RPO (Recovery Point Objective)
RTO (Recovery Time Objective) and RPO (Recovery Point Objective) are two key parameters for disaster recovery planning. RTO is the maximum amount of time it should take to restore normal operations following an outage or data loss. RPO is the maximum amount of data the organization can tolerate losing. This parameter is measured in time: from the moment a failure occurs to your last valid data backup.
For example, if a company has an RTO of 4 hours and an RPO of 1 hour, it means that the company can tolerate losing up to 1 hour of data and it should take no more than 4 hours to restore normal operations following an outage or data loss.
✨ The Journey Continues: As Day 7 wraps up, I'm excited about the depth of understanding gained and the practical skills acquired. Stay tuned for more updates as my AWS DevOps journey continues to unfold!