MLB and hybrid cloud: How they’re running Anthos on bare metal and at the edge

Whether it’s calculating batting averages or hot dog sales, data is at the heart of baseball. For Major League Baseball (MLB), the governing body of the sport known as America’s National Pastime, processing, analyzing, and ultimately making decisions based on that data is key to running a successful organization, and they’ve increasingly turned to Google Cloud to help them do it.

MLB supports 30 teams spread across the US and Canada, running workloads in the cloud as well as at the edge with on-premises data centers at each of their ballparks. By using Anthos, they can containerize those workloads and run them in the location that makes the most sense for the application. We sat down with Kris Amy, VP of Technology Infrastructure at Major League Baseball, to learn more.

Eyal Manor: Can you tell us a little bit about MLB and why you chose Google Cloud?

Kris Amy: Major League Baseball is America’s pastime. We have millions of fans around the world, and we process and analyze extreme amounts of data. We know Google Cloud has tremendous expertise in containerization, AI and big data. Anthos enables us to take advantage of that expertise whether we’re running in Google Cloud, or running on-prem in our stadiums.

#google cloud platform #customers #hybrid cloud #anthos #cloud

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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

MLB and hybrid cloud: How they’re running Anthos on bare metal and at the edge

Whether it’s calculating batting averages or hot dog sales, data is at the heart of baseball. For Major League Baseball (MLB), the governing body of the sport known as America’s National Pastime, processing, analyzing, and ultimately making decisions based on that data is key to running a successful organization, and they’ve increasingly turned to Google Cloud to help them do it.

MLB supports 30 teams spread across the US and Canada, running workloads in the cloud as well as at the edge with on-premises data centers at each of their ballparks. By using Anthos, they can containerize those workloads and run them in the location that makes the most sense for the application. We sat down with Kris Amy, VP of Technology Infrastructure at Major League Baseball, to learn more.

Eyal Manor: Can you tell us a little bit about MLB and why you chose Google Cloud?

Kris Amy: Major League Baseball is America’s pastime. We have millions of fans around the world, and we process and analyze extreme amounts of data. We know Google Cloud has tremendous expertise in containerization, AI and big data. Anthos enables us to take advantage of that expertise whether we’re running in Google Cloud, or running on-prem in our stadiums.

#google cloud platform #customers #hybrid cloud #anthos #cloud

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

Edge Computing: Device Edge vs. Cloud Edge

It sometimes makes sense to treat edge computing not as a generic category but as two distinct types of architectures: cloud edge and device edge.

Most people talk about edge computing as a singular type of architecture. But in some respects, it makes sense to think of edge computing as two fundamentally distinct types of architectures: Device edge and cloud edge.

Although a device edge and a cloud edge operate in similar ways from an architectural perspective, they cater to different types of use cases, and they pose different challenges.

Here’s a breakdown of how device edge and cloud edge compare.

Edge computing, defined

First, let’s briefly define edge computing itself.

Edge computing is any type of architecture in which workloads are hosted closer to the “edge” of the network — which typically means closer to end-users — than they would be in conventional architectures that centralize processing and data storage inside large data centers.

#cloud #edge computing #cloud computing #device edge #cloud edge

Moving to Hybrid Cloud with Google Anthos

Let’s Start with basics. Now, we often hear the terminologies Multi and Hybrid cloud, Do you know the difference?

Multi cloud is about majorly working on multiple clouds while hybrid cloud is about connecting your on-prem to cloud i.e. mixed computing, storage, and services environment made up of on-premises infrastructure, private cloud services, and public cloud

Major Options we have for Hybrid Cloud

Hybrid Cloud Enabler

1. Azure Stack
2. AWS Outpost-
3. Google Anthos

Managed Kubernetes Provider

1. Rancher
2. Openshift
3. Azure Arc
4. Google Anthos
5. VMware Tanzu

In this Article, I will only touch Google Anthos, Above one is the figure taken from Platform9, For more generic knowledge before reading below, You can read this article.

#hybrid-cloud #anthos #gcp #multi-cloud #kubernetes #cloud