Tutorial / Cram Notes
There are several DR strategies that you can employ on AWS, ranging from simple and low-cost to more complex and higher-cost options. Here’s a brief outline of the strategies:
- Backup and Restore: Regularly take backups and store in Amazon S3, then restore these to new instances when needed.
- Pilot Light: A minimal version of an environment is always running in the cloud; in case of disaster, you can quickly scale this up.
- Warm Standby: A scaled-down but functional version of your full environment is always running and can be scaled up in case of a disaster.
- Multi-Site: The full production environment is duplicated across two or more regions, providing the highest level of business continuity.
Automated Backups and Versioning
AWS Certified DevOps Engineer – Professional candidates should be familiar with automated backup solutions provided by AWS.
- Amazon RDS Snapshots: Set up automatic snapshots for RDS databases to protect data.
- Amazon EBS Snapshots: Automate EBS volume backups using Amazon Data Lifecycle Manager policies.
- Amazon S3 Versioning: Enable versioning on S3 buckets to keep multiple versions of an object in the same bucket.
Infrastructure as Code
Infrastructure as Code (IaC) services like AWS CloudFormation enable you to create and manage AWS resources with templates. These templates help in recovery processes as they allow you to quickly provision and configure resources during disaster recovery.
Amazon Route 53
Amazon Route 53 can be used in DR strategies to route traffic across different regions, providing a way to shift traffic to a standby environment in case of failure.
- Health Checks: Configure health checks to monitor the health of the application and endpoint.
- Failover Routing: Use failover routing to automatically route traffic to the backup site if the primary site fails.
Automation with AWS Lambda
AWS Lambda can automate recovery tasks. For instance, you can trigger Lambda functions with Amazon CloudWatch alarms to perform specific remediation actions when certain metrics breach their thresholds.
Example Scenario: S3 Bucket Replication
Consider the scenario where you need to replicate the data across two AWS regions to ensure data durability and resilience.
- Enable versioning on your source S3 bucket.
- Set up a Cross-Region Replication (CRR) rule on the source bucket.
- Specify the destination bucket in another region.
{
“Version”: “2012-10-17”,
“Statement”: [{
“Effect”: “Allow”,
“Action”: [
“s3:GetReplicationConfiguration”,
“s3:ListBucket”
],
“Resource”: [
“arn:aws:s3:::source-bucket”
]
}, {
“Effect”: “Allow”,
“Action”: [
“s3:GetObjectVersionForReplication”,
“s3:GetObjectVersionAcl”,
“s3:GetObjectVersionTagging”
],
“Resource”: [
“arn:aws:s3:::source-bucket/*”
]
}, {
“Effect”: “Allow”,
“Action”: [
“s3:ReplicateObject”,
“s3:ReplicateDelete”,
“s3:ReplicateTags”,
“s3:GetObjectRetention”,
“s3:GetObjectLegalHold”
],
“Resource”: “arn:aws:s3:::destination-bucket/*”
}]
}
Table: Recovery Time Objective (RTO) & Recovery Point Objective (RPO)
Strategy | RTO | RPO | Cost | Complexity | Use Case |
---|---|---|---|---|---|
Backup & Restore | High | High | Low | Low | Non-critical workloads |
Pilot Light | Medium | Low | Medium | Medium | Important workloads requiring fast recovery |
Warm Standby | Low | Low | High | High | Critical workloads needing rapid failover |
Multi-Site | Near-Zero | Near-Zero | Very High | Very High | Mission-critical applications |
Post-Recovery Testing
After a recovery procedure, it is crucial to test and ensure that the system operates as expected. Automating the testing can reduce human error and enhance the recovery process.
Conclusion
For the AWS Certified DevOps Engineer – Professional exam, you should be comfortable designing and implementing recovery procedures that minimize downtime and data loss. This includes understanding various AWS services, implementing RTO and RPO designs, and automating recovery steps with AWS services like Lambda, CloudFormation, and S3. The ability to implement these procedures will demonstrate your expertise in maintaining resilient and reliable operational processes on the AWS platform.
Practice Test with Explanation
True or False: The AWS Elastic Beanstalk platform does not have any recovery procedures that can handle application failures automatically.
- True
- False
Answer: False
Explanation: AWS Elastic Beanstalk can automatically handle certain types of failures by restarting services or replacing unhealthy instances.
In AWS, Point-In-Time Recovery (PITR) is available for which of the following services?
- Amazon EC2
- Amazon S3
- Amazon RDS
- Amazon DynamoDB
Answer: Amazon RDS, Amazon DynamoDB
Explanation: Amazon RDS and Amazon DynamoDB support Point-In-Time Recovery (PITR), which allows you to restore your database to any second in time within your retention period.
True or False: AWS CodeDeploy can automatically roll back a deployment if specific CloudWatch alarms are triggered.
- True
- False
Answer: True
Explanation: AWS CodeDeploy can be configured to automatically roll back deployments if CloudWatch alarms are activated.
What is the purpose of the AWS Backup service?
- To increase the performance of your storage devices.
- To centrally manage and automate backups across AWS services.
- To improve content delivery from cache stored around the globe.
- To monitor application and infrastructure health in AWS environments.
Answer: To centrally manage and automate backups across AWS services.
Explanation: AWS Backup is a service designed to centralize and automate backup tasks for various AWS services.
True or False: Amazon S3 provides automatic versioning and the restoration of previous versions of an object.
- True
- False
Answer: True
Explanation: Amazon S3 allows you to enable versioning for a bucket, which keeps multiple versions of an object and enables restoration to a previous version.
AWS Disaster Recovery Options include all EXCEPT which of the following?
- Pilot Light
- Warm Standby
- Hot Site
- Cold Site
- Digital Elasticity
Answer: Digital Elasticity
Explanation: Digital Elasticity is not a recognized disaster recovery option. Pilot Light, Warm Standby, Hot Site, and Cold Site are established disaster recovery strategies on AWS.
True or False: It is possible to automate database failover with Amazon RDS Multi-AZ Deployments.
- True
- False
Answer: True
Explanation: Amazon RDS Multi-AZ Deployments are designed for high availability and failover is automatically handled by AWS without administrative intervention.
Which AWS service is primarily used for disaster recovery and backing up EC2 instances?
- Amazon EBS
- AWS Backup
- AWS Shield
- AWS Direct Connect
Answer: AWS Backup
Explanation: AWS Backup is designed to protect EC2 instances by backing them up according to a defined policy.
True or False: AWS CloudFormation cannot be used for disaster recovery purposes.
- True
- False
Answer: False
Explanation: AWS CloudFormation can be utilized to automate the provisioning of AWS resources and can be a critical component of disaster recovery strategies due to its ability to rapidly recreate an entire environment from templates.
The Amazon S3 cross-region replication feature is primarily used for what purpose?
- Load balancing
- Data analysis
- Data archiving
- Disaster recovery
Answer: Disaster recovery
Explanation: S3 cross-region replication is used to replicate data across different AWS regions, which is useful for disaster recovery to prevent regional outages affecting data availability.
In the context of AWS, the term RTO refers to what?
- Recovery Time Objective
- Recovery Test Operations
- Resource Transition Objective
- Resource Transfer Outline
Answer: Recovery Time Objective
Explanation: Recovery Time Objective (RTO) is a metric that defines the maximum acceptable amount of time within which systems, applications, or functions must be restored after a disaster.
True or False: Amazon EC2 Auto Recovery can be used to automatically recover instances when they become impaired due to an underlying hardware failure.
- True
- False
Answer: True
Explanation: Amazon EC2 Auto Recovery is a feature that can be set up to recover your instance automatically in case of an underlying hardware failure.
Interview Questions
How would you implement and manage a disaster recovery strategy in AWS?
To implement a disaster recovery strategy on AWS, you would need to determine the recovery point objective (RPO) and recovery time objective (RTO) for your application. You could use services such as Amazon Route 53 for DNS failover, AWS Elastic Beanstalk or Amazon EC2 Auto Scaling for automated scaling and recovery, AWS Backup for backing up AWS resources, and AWS CloudFormation for infrastructure as code to quickly re-deploy resources. Cross-Region replication in services like Amazon S3 and Amazon RDS also plays a crucial role in ensuring data is consistently backed up to a different geographic location.
What are the primary differences between the four disaster recovery strategies on AWS: Backup and Restore, Pilot Light, Warm Standby, and Multi-Site?
Backup and Restore is the most basic and cost-effective approach, where data is backed up, and systems are restored from those backups after a disaster. Pilot Light involves having a minimal version of an environment always running in the cloud, with key services such as databases in a ready state. Warm Standby is a scaled-down but functional version of the full environment which can be scaled up on demand. Multi-Site involves running a full-scale production environment in more than one geographic location, usually with active-active configuration, providing the highest level of availability and fault tolerance.
How does AWS CloudFormation aid in the recovery process during a disaster?
AWS CloudFormation helps in the recovery process by allowing you to define your infrastructure as code, which can be version controlled and easily replicated. This facilitates quick redeployment of your architecture in case of disaster. CloudFormation templates can be used to provision and configure your resources consistently, mitigating the risk of human error during the recovery process, and ensuring that the resources are readily available when needed.
Can you explain the role of AWS Elastic Beanstalk in recovery procedures?
AWS Elastic Beanstalk simplifies application deployment and scalability. During recovery, Elastic Beanstalk can quickly restore application services because it manages the underlying infrastructure, handles deployment details like capacity provisioning, load balancing, auto-scaling, and application health monitoring. This enables a faster recovery as it reduces the time to redeploy applications and services.
What AWS services can be used for point-in-time recovery of databases, and how would you configure them?
AWS services such as Amazon RDS and Amazon Aurora support point-in-time recovery. To configure them, you would enable automatic backups and specify the backup retention period. For RDS, you can use the AWS Management Console, AWS CLI, or RDS API to recover a database to a specific point in time within the retention period. With Aurora, you can recover data from the continuous backup to Amazon S3 to any point within the backup retention period.
How could you leverage Amazon S3 for disaster recovery?
Amazon S3 can be leveraged for disaster recovery by storing backups and enabling versioning to keep historical versions of objects, which allows for point-in-time recovery. Cross-Region replication can automatically replicate data to different AWS Regions to mitigate the risk of region-specific failures. S3 Lifecycle policies also help manage objects by automatically archiving or deleting data according to the defined rules.
Describe how Amazon Route 53 can help achieve high availability and disaster recovery.
Amazon Route 53 can help achieve high availability and disaster recovery through DNS failover mechanisms. By monitoring the health of resources (e.g., web servers, application servers) and routing traffic only to healthy endpoints, Route 53 can prevent user traffic from being directed to failed resources. Additionally, it supports the routing of traffic across multiple AWS Regions, enhancing disaster recovery by distributing load if one region experiences an outage.
How would you use AWS Backup for unified backup across AWS services?
AWS Backup provides a centralized backup service for automating and managing backups across various AWS services such as EC2 instances, EBS volumes, RDS databases, DynamoDB tables, and more. You would configure backup policies (backup plans) to define how frequently and when backups occur, specify retention periods, and manage backup storage locations. Cross-account backup is also supported for enhanced security and compliance.
What considerations should be taken into account for the networking component of a disaster recovery plan on AWS?
Networking considerations for disaster recovery on AWS include ensuring redundant connectivity, using AWS Direct Connect for private connections, leveraging multiple Availability Zones and Regions, using Route 53 for DNS failover and traffic routing, configuring Virtual Private Cloud (VPC) peering or AWS Transit Gateway for network connectivity between VPCs and accounts, and using Network Access Control Lists (NACLs) and security groups for network security and control.
Explain the purpose of AWS Disaster Recovery Readiness Checklist and how it assists in preparing for disaster recovery.
The AWS Disaster Recovery Readiness Checklist is a comprehensive guide intended to help organizations evaluate their preparedness for a disaster. It covers everything from business impact analysis to networking and security. The checklist prompts organizations to consider various aspects of disaster recovery, encourages the implementation of best practices, and helps identify areas for improvement. It assists in ensuring that the necessary steps are taken for a robust and effective disaster recovery strategy.
How does AWS Organizations contribute to recovery procedures and disaster preparedness?
AWS Organizations helps by allowing the management of multiple AWS accounts. It contributes to recovery procedures by enabling centralized backup policies, consolidated billing, and standardized controls across accounts, which can simplify the management and recovery process. Cross-account access, service control policies (SCPs), and the use of organizational units (OUs) ensure that recovery practices are uniformly applied across the enterprise, aiding in overall preparedness and swift response.
Discuss the use of Amazon CloudWatch in monitoring the effectiveness of your recovery procedures.
Amazon CloudWatch can be utilized to monitor the effectiveness of recovery procedures by tracking metrics, setting alarms, and reacting to changes in your AWS environment. By using CloudWatch, you can observe resource usage patterns during recovery operations and trigger events or alarms if there are any deviations from expected performance. Log analysis and monitoring can provide insights into the success of backup jobs and the health of recovering systems, enabling quick corrective actions when necessary.
This blog on recovery procedures for the AWS Certified DevOps Engineer exam is super helpful!
Can someone explain the difference between RTO and RPO in disaster recovery?
I appreciate the detailed recovery strategies shared in this post.
What is the best way to automate disaster recovery using AWS?
Great article, thanks for sharing!
Does anyone have a step-by-step guide for setting up AWS Backup for a large-scale enterprise?
I’m confused about the use of AMIs in recovery scenarios. Can anyone clarify?
This blog doesn’t go deep enough into automation scripts.