Backup And Disaster Recovery Automation Scope

•Use Case: Regularly backup Kubernetes cluster state, including ConfigMaps, Secrets, and Persistent Volume Claims, to ensure recovery in case of accidental deletion or cluster failure.

•DagKnows can integrate with tools like Velero to automate the backup of Kubernetes cluster resources.

•The platform can schedule regular backups, store them in secure S3 buckets, and automate restoration processes when needed.

•Use Case: Schedule regular snapshots of Amazon RDS instances to ensure that you have up-to-date backups that can be restored in the event of a database failure.

•DagKnows can automate the scheduling of RDS snapshots at specified intervals, such as hourly, daily, or weekly.

•The platform can also automate retention policies, ensuring that only the necessary number of snapshots are retained, thereby optimizing storage costs.

In AWS Redshift, snapshots provide point-in-time backups of clusters. This runbook aims to restore Redshift clusters from a Snapshot for recovery purposes or any other purpose, users can restore these snapshots, resulting in the creation of a new cluster with data from the chosen snapshot. As the data is restored, the new cluster's status indicates the progress until it becomes 'available' for use. Importantly, this action neither alters the original cluster nor the snapshot; it only creates a new instance. In the broader AWS ecosystem, this means potential changes to resource utilization, costs, and data management dynamics.

•Use Case: Regularly create snapshots of EBS volumes attached to critical EC2 instances to protect against data loss due to hardware failures or accidental deletions.

•DagKnows can automate the creation of EBS snapshots, ensuring that backups are taken regularly and stored securely.

•The platform can also automate the restoration of EBS volumes from snapshots in case of data loss or corruption.

•Use Case: Ensure that all critical data stored in S3 buckets is regularly backed up to another region or bucket for disaster recovery purposes.

•DagKnows can automate the replication of S3 buckets to another region or a secondary bucket, ensuring data redundancy and disaster recovery capability.

•The platform can monitor for changes and automatically replicate new or updated objects, maintaining an up-to-date backup.

•Use Case: Regularly test disaster recovery processes to ensure that recovery plans work as expected and can be executed in a timely manner.

•DagKnows can automate the scheduling and execution of disaster recovery drills, simulating failures and testing recovery workflows.

•The platform can generate reports on the outcomes of these drills, identifying areas for improvement in the disaster recovery plan.

•Use Case: Automatically trigger failover to a standby RDS instance in another AWS region in case of a regional outage or RDS failure.

•DagKnows can automate the configuration of cross-region read replicas for RDS and automate failover procedures, including DNS updates and application reconfiguration.

•The platform can monitor the health of primary RDS instances and initiate failover processes automatically when necessary.

•Use Case: Ensure that critical applications running on EKS (Elastic Kubernetes Service) have regular backups and can be quickly restored in case of a disaster.

•DagKnows can automate the backup of EKS applications, including their Kubernetes manifests and associated persistent volumes.

•The platform can streamline the recovery process, ensuring that applications are quickly redeployed and operational after a failure.

•Use Case: Ensure that DynamoDB tables are replicated across multiple AWS regions for disaster recovery purposes.

•DagKnows can automate the configuration of DynamoDB cross-region replication, ensuring that data is kept in sync across multiple regions.

•The platform can automate failover procedures, redirecting traffic to the replica table in another region if the primary region fails.

•Use Case: Regularly validate that backups are complete and can be restored successfully, ensuring data integrity and recovery reliability.

•DagKnows can automate the validation of backups by periodically restoring them in a sandbox environment and running integrity checks.

•The platform can generate reports on the success of these validations and alert teams if any issues are detected.

•Use Case: Automatically provision and maintain a secondary infrastructure in a different AWS region, ready to take over in case of a disaster using CloudFormation, Terraform or any other IaC.

•DagKnows can automate the provisioning and maintenance of secondary infrastructure across AWS regions, ensuring that it is always ready for failover.

•The platform can automate DNS failover, load balancer reconfiguration, and application deployment in the secondary region when needed or a full infra rebuild using jenkins, terraform, cloudformation template etc.