According to a survey on the purpose of cloud use for users of our product “Commvault Cloud Data Protection” (75% of users), 75% are “data backup”, 49 % Replied “disaster recovery”, 43% “data archive”, 39% replace “tape drive”, 36% replied “virtual machine backup” and 28% replied “cloud-native application backup” ing. In other words, many companies use the cloud to protect data.
Meanwhile, looking at recent initiatives by cloud vendors, we have built data centers everywhere to increase the number of cloud regions in order to shorten the latency of data transfer.
In addition, the environment surrounding data is becoming increasingly complex due to data related regulations of countries around the world including GDPR. As a result, managing and maintaining data becomes more complicated in a multi-cloud environment, managing data stored in several different public clouds and private clouds is even more complicated.
Five specific measures to manage and protect cloud data
Under these circumstances, in order to obtain agility (agility) which is a merit of the multi-cloud environment, it is necessary for the data on the cloud to be strategically managed and protected. In many organizations, this point has become an important issue and is frequently discussed.
In properly managing and protecting data on the cloud, it is necessary to clarify the following five points.
- How to manage cloud and on-premises data assets
- How to know where cloud and which cloud storage data is utilized against the demand for data usage
- A method for quickly recovering data and workloads stored in a multi-cloud environment
- How to apply global cloud strategy to the cloud where new regions are added like every month
- Formulation of data protection policy
It is expected that more and more companies will adopt multi-cloud in the future and the tendency to have such problems will increase. John Burke, chief information officer (CIO) and chief survey analyst at Nemertes Research, says about the cloud as follows.
- More than 95% of organizations are already in multi-cloud environments, and on average more than 7 SaaS applications are used
- More than 55% IT workload planned to run at IaaS, PaaS, SaaS by 2019
The amount of data that must be managed between clouds and cloud regions is huge. Agility-savvy IT companies realize data protection policies that span various SLAs and multiple regions, making it possible for organizations to actually use data stored in the cloud. These efforts are the key to successful data management in the cloud.
Five points to make data protection of multi-cloud more efficient
There are the following five points for efficiently protecting data in a multi-cloud environment.
(1) Tool integration
If you manage backup, recovery, e-discovery, disaster recovery with multiple products, that the IT team can not get agility. If the data can be moved, managed and used between the cloud and on-premises on a single data management platform, the work can be streamlined.
(2) Introduction of a single data viewer
With a single data viewer, you can act to meet SLA quickly and efficiently even if the IT team is large. Even if the physical location is different, if the data lifecycle can be managed using a common dashboard, the team will be able to make better decisions.
You can save time by using data protection products that provide automation, orchestration, AI and machine learning functions. Also, by eliminating many manual works, you will be able to concentrate on more strategic projects that are inherent in the IT team.
(4) Cloud support
It is desirable to select products that are natively integrated with the cloud and that can centrally manage on-premises and cloud data. This makes it possible to work with a common interface without going back and forth between multiple interfaces when backing up or recovering.
(5) Support for large-scale capacity
When introducing the cloud, the data volume becomes a large wall. Therefore, you can say that you should choose a data protection platform that can quickly move large workloads to the cloud. It is important to adopt appropriate tools such as Azure Data Box and AWS Snowball that support large data migration and data management platform that can handle large data migration as well.
Furthermore, when considering the data protection strategy of the multi-cloud environment, I’d like you to spend some time on the plan in advance. As a result, time, labor and stress on data availability can be reduced. And by using best practices for data protection, it will be possible to have maximum flexibility in a multi-cloud environment.
Original Article Source from https://news.mynavi.jp , Author: 伊吹山 正郁