Data Store Backup and Restore

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Data Store Backup and Restore by Mind Map: Data Store Backup and Restore

1. Data Stores

1.1. Mongo DB

1.2. Orient DB

1.3. My SQL

1.4. Elastic Search

1.5. Stardog

1.6. Kafka

2. Tasks common across all the data stores

2.1. Query each data store individually and export the results in a comparable format

2.2. Provision VM with all the data stores installed

2.2.1. Same version of data store exists

2.3. Copy backup of all the data stores into the VM on a time stamped basis

2.3.1. A scheduled job to backup the data stores and copy them to the provisioned VM

2.4. Script to Back up and restore the data store Backups

2.4.1. Back up script is configurable to run via IP

2.4.2. Back up script is configurable to backup any environemnt

2.4.3. Restore script is configurable to run via IP

2.5. Validation Approach for the restored data stores

2.6. Schedule jenkins job end to end

2.7. Externalize Jenkins task per data store per environment

3. Gap

3.1. Query each data store individually and export the results in a comparable format

3.2. Validation approach for the restored data stores

3.3. Learning curve to be accounted for the unfamiliar data stores

4. Action Items

4.1. L2/DevOps

4.1.1. Provision VMs and Install all the data stores

4.1.2. Coply all the back ups in VM on a daily basis

4.2. Chandra/Aswathy

4.2.1. Integrate the queries together for an end to end experience

4.2.1.1. Individual Jenkins job per data store per environment

4.3. V2/Abhilash

4.3.1. Externalizing the queries

4.3.2. Validation approach