Search result for 'aws'

This script lists all the resource ARNs in a region using the AWS Resource Groups Tagging API.

•Use Case: Automatically categorize incidents based on predefined criteria (e.g., severity, affected services, etc.) to streamline the triage process.

•DagKnows can integrate with incident management tools like PagerDuty or AWS SNS to automatically categorize incidents as they occur.

•The platform can use metadata from alerts or incidents (e.g., source, affected service, time of oc...

Amazon Redshift allows users to create snapshots, which are point-in-time backups of their data warehouse clusters. These snapshots can be vital for disaster recovery scenarios, testing, or data replication. When a user needs to restore a cluster from a snapshot, AWS Redshift creates a new cluster and populates it with the data from the snapshot. The new cluster will inherit the configuration ...

In AWS Redshift, when restoring a cluster from a snapshot, it's essential to track the restoration progress to ensure timely data availability and system readiness. Monitoring the progress allows users to estimate when the cluster will be operational and identify any potential issues during the restoration process. Checking the restoration progress helps in maintaining transparency and ensurin...

•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 o...

•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 objec...

•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 d...

•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 failov...

•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 redepl...

•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,...

In AWS Redshift, snapshots are backups that capture the entire system state of a cluster at a specific point in time. Users may need to fetch or list these available snapshots for various reasons, such as monitoring, auditing, or planning a recovery operation. By fetching the list of snapshots, users can view details like snapshot creation time, source cluster, and snapshot size. Retrieving th...

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 Case: Optimize the use of Reserved Instances (RIs) and Savings Plans by automating the purchase, modification, or sale of RIs based on usage patterns using AWS Cost Optimization Hub

•The platform can automate the management of RIs and Savings Plans to maximize cost savings and minimize waste based on AWS Cost Optimization Hub Recommnedations.

•Use Case: Detect and alert on unusual or unexpected spikes in AWS spending that could indicate inefficiencies or potential issues.

•DagKnows can integrate with cost management tools to monitor spending patterns and detect anomalies.

•The platform can automatically alert teams when spending deviates significantly from the norm, allowing for quick investigation and remediation....

•Use Case: Ensure that all AWS resources are properly tagged for cost allocation and chargeback purposes.

•DagKnows can automate the auditing of AWS resources to ensure that they are tagged according to organizational policies.

•The platform can automatically notify teams of any non-compliant resources or enforce tagging policies by applying missing tags.