"By 2022, at least 95% of cloud security failures will be caused by customer errors," said Jay Heiser, vice president of research at Gartner.
To avoid losses due to your own mistakes, you need to understand the following 7 common cloud data management traps:
1. No data protection strategy
It is very important to ensure the security of company data in static or transmission. If a disaster occurs, you need to make sure it is recoverable. You need to take into account the threats of malware, accidental deletions, and unrecoverable failures in your cloud infrastructure. If the worst happens, you should do more than just apologize for a refund, so having a coherent, long-lasting data protection strategy is critical.
2, no data security strategy
It is common practice for data center data to be mixed and co-located on shared devices with myriad unknown entities. Cloud providers may guarantee that your data is independent, but regulatory issues need to be determined. Access control can be considered because basic cloud file services often fail to provide the same user authentication or granular control as traditional IT systems. According to a research institute, the average cost of global data breaches is $3.6 million. You need a multi-layered data security and access control strategy to block unauthorized access and ensure that your data is stored securely and securely in any location.
3, no fast data recovery strategy
With storage snapshots and previous versions managed by dedicated NAS devices, you can recover quickly from data corruption, deletions, or other potentially catastrophic events. But few cloud native storage systems provide snapshots or provide the ability to easily roll back to previous versions, which will make you more dependent on current backups. You need flexible instant storage snapshots to provide fast recovery and rollback for business-critical data and applications.
4, no data performance strategy
Shared, multi-tenant infrastructure can lead to unpredictability of performance, and many cloud storage services lack the ability to optimize performance parameters. Excessive simultaneous requests, network overloads, or device failures can cause latency issues and degrade performance. You need to find a layer of performance control for your data so that all your applications and users can get the responsiveness they expect. You should also be able to adapt to the growth of demand and budget over time.
5, no data availability strategy
Hardware failures, human error... Downtime is often unavoidable for a variety of reasons. The best way to do this is to respond to the worst-case scenario, create a copy of the most important data, and take action to quickly switch between occasional failures. Look for cloud or storage vendors who are willing to provide SLA assurance for your business. If necessary, create a failsafe option and use a secondary storage controller to ensure that your application does not experience any disruption.
6. No cloudy interoperability strategy
According to Gartner analysts, by 2020, as many as 90% of companies will adopt hybrid infrastructure. As the company's demand for optimization efficiency and cost control continues to grow, there is a positive driving force behind it, but you must properly assess your choices and the impact this choice has on your business. It's best to make sure that you can easily change cloud providers in the future, as well as any code that might need to be rewritten. Vendors often want to bundle you with proprietary APIs and services, but you need to maintain the cloudy interoperability of data and applications to maintain agility and choice.
7, no disaster recovery strategy
A simple mistake, even if a developer accidentally writes a wrong code, may be enough to damage your data. Even your cloud provider may be hacked, causing loss of data and backups. Maintaining redundant, offline backups is the key to a complete restart of your IT infrastructure in the event of a disaster or hacker attack.
Last but not least, the savings and cost reductions are understandable, but in the long run, this one-sided idea may cost you a lot. Take the time to develop the right data management strategy and you can greatly reduce your risk.
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