Multi-Cloud: Worst Practice or the Future of Public Cloud?

Corey Quinn, cloud economist at The Duckbill Group, recently argued that multi-cloud is “the worst practice to be avoided by default”. Not everyone agrees.

The author of the Last Week in AWS newsletter defines multi-cloud as running the same workload across multiple cloud providers in an agnostic way. He suggests that the approach is promoted by smaller cloud providers that cannot have a significant market share and third-party vendors that build tools for multiple cloud providers. The key issue of multi-cloud approaches is the lowest common denominator:

If you treat all of those environments as being the same thing, that means that every additional service that is any higher-order than those baseline primitive offerings is closed to you.

Multi-cloud can as well limit negotiating leverage for enterprises and he explains that the cost of managing multiple providers is often underestimated:

Before you go whole hog into a second cloud provider, first spin up an active-active environment across two regions in your current provider. With complete service and API compatibility between those regions, it should, by your theory, be a piece of cake. Come back and talk to me after you have done that, and we will see how “simple and straightforward” this really is.

Not everyone agrees with Corey Quinn’s analysis. According to the 2020 State of the Cloud Report published by Flexera, most companies embrace multi-cloud, with 93 percent of enterprises having a multi-cloud strategy.

Debanjan Saha, general manager of data analytics at Google Cloud, and Eyal Manor, vice president of engineering and product at Google Cloud, recently explained why a multi-cloud approach is the future:

We are seeing so many benefits in how people use information, with more to come, as multi-cloud computing moves from a better way to access data to a platform for using information better. All these multi-cloud capabilities are designed to offer customers flexibility and choice to run their applications in the most efficient manner (…) giving customers maximum access and decision-making power to their most valuable technology asset: their data.

They explain that the definition of multi-cloud itself is open to debate:

The term multi-cloud can mean different things to different users and customers. For some customers, multi-cloud refers to leveraging multiple public cloud technologies at once, others refer to it as using public cloud in parallel with traditional non-cloud systems, and still others mean using multiple public clouds simultaneously for different workloads.

#google cloud #aws #cloud adoption #cloud and 'lock in' #cloud #development #culture & methods #news

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Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

• Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

• Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

• Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Data Governance for the Multi-Public Cloud: Top 10 AWS Best Practices

This article discusses the need for data governance for the multi-public cloud by outlining the top 10 AWS best practices that organizations should implement.

“Cloud computing offers individuals’ access to data and applications from nearly any point of access to the Internet, offers businesses a whole new way to cut costs for technical infrastructure, and offers big computer companies a potentially giant market for Hardware and services”- Jamais Cascio

Over the past few years, companies have been massively shifting their data and applications to the cloud that ended up raising a community of data users. They are encouraged to capture, gather, analyze, and save data for business insights and decision-making. More organizations are leading towards the use of multi-cloud, and the threat of losing data and securing has become challenging. Therefore, managing security policies, rules, metadata details, content traits is becoming critical for the multi-cloud. In this regard, the enterprises are in search of expertise and cloud tool vendors that are capable of providing the fundamental cloud security data governance competencies with excellence.

#cloud computing #public cloud #cloud #aws #multi-public cloud

Multi-Cloud: Worst Practice or the Future of Public Cloud?

Corey Quinn, cloud economist at The Duckbill Group, recently argued that multi-cloud is “the worst practice to be avoided by default”. Not everyone agrees.

The author of the Last Week in AWS newsletter defines multi-cloud as running the same workload across multiple cloud providers in an agnostic way. He suggests that the approach is promoted by smaller cloud providers that cannot have a significant market share and third-party vendors that build tools for multiple cloud providers. The key issue of multi-cloud approaches is the lowest common denominator:

If you treat all of those environments as being the same thing, that means that every additional service that is any higher-order than those baseline primitive offerings is closed to you.

Multi-cloud can as well limit negotiating leverage for enterprises and he explains that the cost of managing multiple providers is often underestimated:

Before you go whole hog into a second cloud provider, first spin up an active-active environment across two regions in your current provider. With complete service and API compatibility between those regions, it should, by your theory, be a piece of cake. Come back and talk to me after you have done that, and we will see how “simple and straightforward” this really is.

Not everyone agrees with Corey Quinn’s analysis. According to the 2020 State of the Cloud Report published by Flexera, most companies embrace multi-cloud, with 93 percent of enterprises having a multi-cloud strategy.

Debanjan Saha, general manager of data analytics at Google Cloud, and Eyal Manor, vice president of engineering and product at Google Cloud, recently explained why a multi-cloud approach is the future:

We are seeing so many benefits in how people use information, with more to come, as multi-cloud computing moves from a better way to access data to a platform for using information better. All these multi-cloud capabilities are designed to offer customers flexibility and choice to run their applications in the most efficient manner (…) giving customers maximum access and decision-making power to their most valuable technology asset: their data.

They explain that the definition of multi-cloud itself is open to debate:

The term multi-cloud can mean different things to different users and customers. For some customers, multi-cloud refers to leveraging multiple public cloud technologies at once, others refer to it as using public cloud in parallel with traditional non-cloud systems, and still others mean using multiple public clouds simultaneously for different workloads.

#google cloud #aws #cloud adoption #cloud and 'lock in' #cloud #development #culture & methods #news

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Data Patterns in a Multi-cloud Future

Multi-cloud is becoming the norm. What does this mean for data science and data engineering when your data is spread across multiple clouds and on-premise?

The most important asset for any organization is their data. But that is also the asset that’s the most challenging to manage. I’ve written how cloud computing has evolved to keep in tune with the changing dynamic of world economics and trade and why it’s imperative for every organization to have a multi-cloud strategy. While keeping pace with changing dynamics is important for businesses to thrive and grow, it also brings in a new set of challenges.

Especially when you bring in multiple cloud platforms where your enterprise data is spread across different clouds, how does it change the data science equation? Are you still able to leverage all the data from all the clouds and on-premise to still connect the dots and extract meaningful analytics out of them?

#data-science #google #google-cloud-platform #cloud-computing #cloud #multi-cloud