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The modern app is dynamic, it’s distributed, and it lives across multiple clusters and clouds. It’s likely made up of dozens, even hundreds, of microservices. And it can be spun up and scaled quickly to meet evolving user and market demands. However, architecture flexibility in a multi-cloud world often results in a lack of visibility. With services spread out across multiple cloud providers and on-premise infrastructure, cloud architects are finding it difficult to know whether modern applications are performing as intended.
This lack of visibility and awareness is a big problem in a world defined by application experience. I have spent decades working with customers who are desperately trying to solve the app resiliency problem, and I’ve observed that half of new applications fail to meet performance SLAs despite the fact that most enterprises overspend on cloud costs by two to three times. CTOs try to solve this problem by “breaking down silos.” An issue comes up, everyone jumps into a war room, identifies and solves the bottleneck, but then goes right back to living in disparate silos.
#service mesh #multi cloud #modern apps #cloud
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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.
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.
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.
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
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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
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The modern app is dynamic, it’s distributed, and it lives across multiple clusters and clouds. It’s likely made up of dozens, even hundreds, of microservices. And it can be spun up and scaled quickly to meet evolving user and market demands. However, architecture flexibility in a multi-cloud world often results in a lack of visibility. With services spread out across multiple cloud providers and on-premise infrastructure, cloud architects are finding it difficult to know whether modern applications are performing as intended.
This lack of visibility and awareness is a big problem in a world defined by application experience. I have spent decades working with customers who are desperately trying to solve the app resiliency problem, and I’ve observed that half of new applications fail to meet performance SLAs despite the fact that most enterprises overspend on cloud costs by two to three times. CTOs try to solve this problem by “breaking down silos.” An issue comes up, everyone jumps into a war room, identifies and solves the bottleneck, but then goes right back to living in disparate silos.
#service mesh #multi cloud #modern apps #cloud
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Why do we use more than one thing to solve a particular need? Sometimes we don’t have a choice. All my financial assets aren’t in one place because my employer-provided retirement account is at a different financial institution than my personal account. Other times, we purposely diversify. I could buy all my clothes at one retailer, but whether it’s a question of personal taste, convenience, or just circumstance, I buy shoes at one store (and often different stores for different types of shoes), shirts at another store and outerwear somewhere else.
Is it the same situation within your IT department? Based on organizational dynamics, past bets on technology, and current customer demands, I’d bet that you have a few solutions to any given problem. And it’s happening again with public clouds, as the statistics show that most of you are using more than one provider.
But all public clouds aren’t the same. To be sure, there’s commonality amongst them: every public cloud provider offers virtual compute, storage, and networking along with middleware services like messaging. But each cloud offers novel services that you won’t find elsewhere. And each operates within different geographic regions. Some clouds offer different security, data sovereignty, and hybrid capabilities than others. And the user experience—developer tools, web portals, automation capabilities—isn’t uniform and may appeal to different teams within your company.
Using multiple clouds may be becoming commonplace, but it’s not simple to do. There are different tools, skills, and paradigms to absorb. But don’t freak out. Don’t send your developers off to learn every nuance of every cloud, or take your attention away from delivering customer value. You do, however, need to prepare your technical teams, so that they’re prepared to make the most of multi-cloud. So what should you do, as a leader of technical teams? Here is some high-level advice to consider as you think about how to approach multi-cloud. And remember, there’s no universal right solution—only the right solution for your organization, right now.
#google cloud platform #hybrid cloud #cloud #multi-cloud
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For most businesses, an ideal cloud solution is not deploying a single cloud, whether public or private. Instead, the right choice is to set up two or more cloud solutions.
When deploying multiple clouds, a business has two options. Either set up a hybrid cloud or go with a multi-cloud strategy. While similar, these deployment types have differences a decision-maker must know when planning a move to the cloud.
This article outlines the main differences between multi and hybrid clouds. Read on to learn about both cloud computing strategies and see what factors you should consider when choosing between these deployment models.
Multi and hybrid clouds are similar, but these cloud deployment models have unique definitions and solve different business needs.
In a multi-cloud strategy, a company uses multiple cloud services of the same type from different providers. Partnering with several vendors enables a company to:
Most multi-cloud setups include a mix of public cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Bare Metal Cloud (BMC), Microsoft (Azure), and IBM. Every cloud in a multi-cloud setup handles specific workloads, so there are typically no workload integrations between infrastructures.
Our article about multi-clouds offers an in-depth analysis of the model’s benefits, challenges, and most suitable use cases.
In a hybrid cloud environment, a company combines a public cloud with a private cloud or an on-premise data center. The most popular hybrid strategy is running app code on an in-house setup (either a data center or a private cloud) and cloud bursting into the public infrastructure in times of high traffic.
Hybrid deployments are common, and the two most typical scenarios are:
Unlike a multi-cloud strategy, a hybrid setup relies on deep orchestration between different cloud platforms. The goal is to create a unified environment in which separate systems communicate and handle the same IT workloads.
#cloud computing #cloud #multi cloud #hybrid cloud