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Actifio GO for Google Cloud


OVERVIEW

Enterprise class SaaS data protection in Google Cloud and on-premises.

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Actifio GO for GCP is a SaaS offering which enables powerful enterprise class backup and recovery for GCP resident and on-premises workloads.

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Enterprise-Class SaaS Data Protection in Google Cloud and On-Premises.

CHALLENGES

Enterprises face many challenges with Data Protection in Google Cloud.

Features & Benefits

Actifio GO For Google Cloud Features.

Self-service sign up, simple deployment and central management

Simple and easy to use SaaS platform to deliver backup and recovery of VMs, SQL Server and SAP HANA databases inside of Google Cloud and on-premises VMware VMs.

Application consistent incremental forever capture of databases and VMs

Deliver small and efficient backup windows while ensuring database recoverability inside of Google Cloud

SLA driven data management

Powerful SLA engine ensures consistent protection policies across on-premises and one or more Google Cloud regions.

Instant recovery on-premises or in the cloud

Minimize downtime by recovering VMs and databases in minutes regardless of size either on-premises or inside of Google Cloud.

Multi-region disaster recovery

Enable disaster recovery in a single Google Cloud region or across regions with the ability to instantly access 1000’s of datasets in parallel.

Google like search catalog for file / folder restore directly from Persistent Disk or Nearline/Coldline to the VM of choice

Simple individual file recovery to accelerate single file restore requests.

Data encryption in transit and at rest

Ensure that data is safely secured in block and object storage to meet business and regulatory requirements.

Enterprise-class backup and recovery for Google Cloud, now available in the Google Marketplace.

Frequently Asked Questions

Actifio GO for GCP Architecture

Actifio GO for GCP solution consists of the following components:

Actifio Global Manager (AGM): The management control plane that is automatically deployed in GCP. Users use AGM to setup backup SLAs, recover files/folders/VMs, DR in GCP. AGM is also used to administer, monitor, and manage one or more Actifio Sky data movers.

Actifio Sky Data mover: A VM appliance that is deployed in the customer’s data center to protect on-premises workloads, or customer’s GCP cloud project to protect GCP VMs. Sky is the core data mover engine that performs incremental forever backups, instant recoveries, instant database cloning.

Actifio Sky Data Mover leverages VMWare’s VADP API to protect VMWare VMs with application consistency & incremental forever backups. No agents need to be deployed in the Guest OS. Actifio Sky Data Mover also provides instant recovery for VMWare VMs, allowing VMs to boot directly off Actifio. Once booted these VMs can be moved to their production storage using VMWare’s Storage vMotion.

Actifio provides a light-weight connector that is required to be deployed on physical servers, Azure, Google, AWS and other hypervisor VMs. Actifio Sky Data Mover establishes a secure connection with the connector to trigger application consistent incremental forever backups and instant recovery.

Actifio provides a light-weight connector that is installed on the Hyper-v Servers. Actifio presents a virtual staging disk of the appropriate size to the Hyper-v server and the connector performs Hyper-V VM backups to the virtual staging disk in an application consistent incremental forever manner.

Actifio provides a light-weight connector that is required to be deployed on GCP VMs. Actifio Sky Data Mover establishes a secure connection with the connector to trigger application consistent incremental forever backups and instant recovery.

  • Users can use simple google like search interface in Actifio Global Manager UI and perform granular file/folder restores.
  • Users can perform instant mount of the backup image and access the entire database/volume/files/folders. The mounts are very fast as the data is not copied. To the recovery machine. Instead Actifio presents a virtual disk with all the data in it via iSCSI or NFS. With this approach, even a 10 TB database or volume can be accessed within minutes in GCP, thus reducing the RTO to minutes.
  • Users can also perform full machine recoveries of on-premises VMs, physical servers and GCP VMs in any GCP region a s anative GCP VM. Actifio ensures that the system state is restored properly and mounts the rest of the non-system volumes instantly, thus reducing the RTO.
  • And last but not the least, Actifio also allows users to perform the traditional restores where the data is restored from its backups to a recovery machine.

Actifio GO for GCP Differentiation

FEATURE ACTIFIO OTHERS COMMENTS
GCP VM backup and recovery Yes Yes
Integrated Billing in GCP Yes Yes
Catalog and perform granular file/folder restores Yes Yes
Backup and Recover on-premises workloads to GCP Yes No Others do not support in their SaaS offering
Application consistent & incremental forever backup of mission-critical databases Yes No Others perform only crash consistent snapshot backups of databases
Instant Mount and Recovery from backups stored in GCP PD/NL/CL Yes No Others can’t perform instant recoveries from persistent disk or nearline/coldline storage. They can perform instant mounts of native cloud snapshots but it takes too much time to hydrate data from snapshots to persistent disk thus increasing RTO.
Data Immutability option in software. Yes No This capability in Actifio ensures even an admin, or a rogue user/admin can’t delete backups before their scheduled retention expiry.
Access data instantly even after Unsubscribing Yes No Delivers peace of mind that data is always accessible even after unsubscribing from the SaaS. Eliminates lockdown to a vendor because of data retention needs.
Low Total Cost of Ownership Yes No Unlike others, the option to store the majority of backups by Actifio in an incremental forever manner in Google NL/CL inexpensive object storage lowers the TCO.

GCP Infrastructure Costs During DR

Each tenant uses their own cloud account. Thus each tenant is charged by GCP based on consumption.

Assuming 1000 VMs protected to GCP nearline storage, 400 restore jobs per month, 500 MB restored per restore job, the monthly cost would be approximately $26.00. Details below:

  • 400 restore jobs x 500 MB per restore job = 200 GB of total data restored from the cloud per month.
  • GCP nearline charges $0.01 per GB for data access. Thus data access charges = $0.01 per GB x 200 GB = $2.00 per month.
  • Google also charges for the data that leaves GCP cloud to the internet at a rate of $0.12 per GB in USA. Thus network costs = $0.12 per GB x 200 GB =  $24.00 per month.
  • Thus total costs in the month = $2.00 access charges +$24.00 egress charges = $26.00

Note that it’s uncommon to restore dozens of entire VMs back to on-premises. This might happen in a situation where a farm of VMs got deleted or corrupted and there is no local backup copy.

Assuming GCP nearline was used to store backups, with each VM being 200 GB in size, when 50 VMs are recovered from GCP back to on-premises, the cost would be approximately $1,210. Details below:

  • GCP nearline storage charges $0.01 per GB for data access, and network egress costs are $0.11 per GB in USA (for 1 to 10 TB)
  • Total data required to be restored = 50 VMs x 200 GB per VM = 10 TB
  • Access and Egress charges = ($0.01 access charges + $0.11 data egress charges) per GB x 10 TB = $1,200
  • Assuming 1 MB object size was used for backup, # of objects read for recovering 50 VMs with 10 TB = 10 TB/1MB = 10,000,000 objects. GCP nearline storage charges $0.01 per 10,000 Read APIs. Thus, Read API costs = (10,000,000/10,000)*$0.01 = $10
  • Total costs = $1,200+$10 = $1,210 for the specific incident when 50 VMs with each 200 GB size are recovered from GCP back to on-premises.

To recover 500 VMs on-demand in GCP with an average size of 200 GB per VM in Google Cloud Platform (GCP), with each DR test running for 3 days, using Actifio’s Instant mount of backups from GCP nearline storage, the total costs will be approximately $9,250.

Note that this approach delivers low RTO with post DR IO performance that is as good as what Google Nearline IO can deliver. Cost details below:

  • For simplicity sake, assume all of them are RHEL and an average VM would need 4 cores and 15 GB of memory using n1-standard-4.
  • The compute costs for 3 days would be approximately $9,000 per DR test.
  • With Actifio GO for GCP, you can mount data instantly from GCP nearline without having to copy the data to block storage. Let’s assume that as part of your DR testing, you access 25% of the total data. Total data size = 500 VMs x 200 GB per VM = 100 TB. 25% of 100 TB = 25 TB. The data access charges for 25 TB = $0.01 per GB x 25 TB = $250.
  • Total costs for each DR test = $9,000 for compute + $250 for data access = $9,250

To recover 500 VMs on-demand in GCP with an average size of 200 GB per VM in Google Cloud Platform (GCP), with each DR test running for 3 days without using Actifio instant mount, the total costs will be $11,780.

Note that approach increases RTO because of copy from NL to PD storage and delivers post DR performance that is as good as SSD PD. Cost details Below:

  • As explained above for 500 VM DR in GCP, the on-demand compute costs will be $9,000 per DR test.
  • In this use case, data needs to be ‘restored’ from nearline to persistent disk. Assume SSD class persistent disk in GCP is used. 100 TB of SSD persistent disk storage costs $560 per day. Thus block storage costs for a DR test = $560 per day x 3 days = $1,680 per DR test.
  • Data access charges from object storage (during restore) = 100 TB x $0.01 per GB = $1,000 per DR test.
  • Read API costs to read 100 TB from Google Nearline Object Storage = $100
  • Total charges per DR test = $9,000 for compute + $1,680 for block storage + $1000 for data access from object storage + $100 for Read APIs = $11,780

Note that cloud infrastructure costs will vary in different regions and might change over time and will vary based on many factors. The examples are given below to provide rough approximations.