Multi-cloud solutions for your data storage needs
What is multi-cloud?
Multi-cloud, as the term suggests, is the deployment of workloads in more than one cloud; these can be public clouds or private clouds. The computing model doesn’t suggest an entire collection of services offered by various cloud service providers; rather, even an environment using two clouds is classified as a multi-cloud setup. Multi-cloud refers to the implementation of multiple SaaS (Software as a Service) and PaaS (Platform as a service) cloud offerings. There is a highly competitive market in terms of cloud technology. This industry requires continuous innovative options. Through multiple cloud options any enterprise can devise reliable backup and disaster recovery plans.
When an enterprise uses more than one cloud (such as Microsoft Azure, AWS, OpenStack etc.) for storage, backup or any other purpose; that’s referred to as multi-cloud computing. For instance, an enterprise may be using Amazon Web Services for data storage and then creating replicas in Microsoft Azure in order to ensure data recoverability. This feels like an effective multi-cloud solution but it requires rigorous management and an efficient multi-cloud strategy.
Benefits of Multi-cloud Solutions:
There are times when one vendor is suitable for your enterprise.
- Prevents vendor lock-in: Due to the flexibility that multi-cloud computing model delivers, businesses are no longer restricted by vendor lock-ins. Enterprise IT environments can choose between the available services of different vendors and pick the best suitable for their requirements.
- Cost efficiency: Without vendor lock-ins, businesses don’t have to pay for that one
serviceof your vendor that’s too expensive. If you can find a better cost effectivesolution, multi-cloud computing model enables you to acquire it and set it up. This results in a rather complex contract situation; however, if done right, it can enhance overall cost efficiency.
- Improved Availability and Performance: Multi-cloud computing model allows your infrastructure to have data redundancy to optimize fault tolerance and improve availability and performance.
- Compliance: Multi-cloud computing model delivers data redundancy and taps into the security protocols of more than one cloud(s); this facilitates businesses in pursuing industry compliance.
- Improved Mobility: In terms of acquisition and setup,
cloud basedservices have no comparison. Multi-cloud services are no exception. They are easier to deploy and facilitate enhanced accessibility for the Enterprise IT environment.
- Business Continuity/High Availability: Multi-cloud computing model delivers data redundancy ensuring data availability and business continuity. If an IT environment relies on a sole vendor and that vendor experiences downtime or an outage, the IT environment also suffers. With multi-cloud computing model, the IT environment can continue to operate even when one or more of the vendors go down.
- Improves geo-presence: By using multiple clouds you have more options for geographic targeting to manage the latency issues and address data sovereignty.
Considerations for deploying multi-cloud computing model:
When you are going to
- Prevention form Vendor Lock-in:
IT environments are battling with vendor lock-in for many years. In this
- Acquiring appropriate IT experts
: Eachcloud has its own security protocols and compatabilityissues. An expert well adeptto a specific cloud may not be very efficient when it comes to handling a different cloud environment. If your IT infrastructure is deploying a multi-cloud environment, then you have to setupa team of experts that are well adept to all of the clouds you are going to use.
- Financial considerations: Multi-cloud environments are tough and complex to manage. They are costly as well. The prices vary as multi-clouds comprise of different services and payment models.
- Connectivity: One of the key considerations is the connectivity. Even if you’re deploying a single cloud environment, connectivity has an integral role in effective data management and handling. Without a fast enough network, all of your deployment models and cloud computing models are useless.
Why do enterprises need multi-cloud computing model?
If your IT infrastructure has cloud backup solutions deployed, then you might be wondering: why does the environment need multiple clouds?
Let’s say that the service provider’s data center was hit by a disaster and it resulted in the loss of your data. If you had a multi-cloud backup solution deployed in this instance, you would not lose your data entirely. This additional layer of redundancy is what makes multi-cloud computing model necessary for IT environments that cannot tolerate data loss at all.
Multi-cloud environments can also play a vital role
hybrid cloud: How are they different?
There’s a fine line between multi-cloud and hybrid cloud computing models. Sometimes, one is mixed with the other.
Multi-clouds in its simplest form is the utilization of more than one cloud. However, in this computing model, the kind of cloud remains the same. The use of multiple public clouds like Azure, AWS, Google etc. qualifies as a multi-cloud environment.
Hybrid-cloud, not to be confused with hybrid infrastructure or hybrid solutions, is the utilization of different kinds of clouds. For instance, an IT infrastructure has their own private cloud setup and they’re also using Microsoft Azure or AWS; this is a hybrid cloud setup.
Multi-Cloud Computing Trends:
According to the survey of EMA (Enterprise Management Associates) in 2017 the percentage of enterprises that have a strategy to use multiple clouds grew to 85 percent (vs. 82 percent in 2016).
What an enterprise needs to incorporate multi-cloud models:
Let’s see what an enterprise needs to do to effectively use these computing models:
- Analyze data – determine the importance, priority and access frequency.
- Develop data management policies – to effectively leverage all kinds of enterprise data with the help of the previously collected information.
- Develop a professional IT team to deploy and follow the data management policies.
- Analyze the available private or public cloud services available in the market
- Deploy the solution as per the analysis and the policies.