Anton Palyonko

Anton Palyonko

1621211640

Beyond Federation: Automating Multi-cloud Workloads... Kevin (Zefeng) Wang

Sponsored Lightning Talk: Beyond Federation: Automating Multi-cloud Workloads with K8s Native APIs - Kevin (Zefeng) Wang, Huawei

How do you manage workloads and resources in multiple Kubernetes clusters across clouds? Suffering from API incompatibility, worried about in-house customization, etc.?

In this talk, Kevin will share:

  1. The challenges and lessons learned from using existing multi-cluster projects e.g. Kubefed to do the dirty work.
  2. Reasons why K8s native APIs are important, and how would this way benefit users more comparing to other options.
  3. Practices and experiences of building simplified automation with K8s native APIs.

#kubernetes #cloud

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Beyond Federation: Automating Multi-cloud Workloads... Kevin (Zefeng) Wang
Adaline  Kulas

Adaline Kulas

1594162500

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

Adaline  Kulas

Adaline Kulas

1594166040

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

Anton Palyonko

Anton Palyonko

1621211640

Beyond Federation: Automating Multi-cloud Workloads... Kevin (Zefeng) Wang

Sponsored Lightning Talk: Beyond Federation: Automating Multi-cloud Workloads with K8s Native APIs - Kevin (Zefeng) Wang, Huawei

How do you manage workloads and resources in multiple Kubernetes clusters across clouds? Suffering from API incompatibility, worried about in-house customization, etc.?

In this talk, Kevin will share:

  1. The challenges and lessons learned from using existing multi-cluster projects e.g. Kubefed to do the dirty work.
  2. Reasons why K8s native APIs are important, and how would this way benefit users more comparing to other options.
  3. Practices and experiences of building simplified automation with K8s native APIs.

#kubernetes #cloud

Multi Cloud vs Hybrid Cloud: A Definite Comparison

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-Cloud vs Hybrid Cloud: Definition

Multi and hybrid clouds are similar, but these cloud deployment models have unique definitions and solve different business needs.

Multi-Cloud

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:

  • Use best-of-breed services for each app and task.
  • Eliminate the risk of vendor lock-in.
  • Ensure each team relies on the right cloud solution.
  • Optimize business planning by choosing the most affordable services.

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.

Hybrid Cloud

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:

  • A business moves partly to the cloud and decides that it is too resource-intensive to migrate all the way.
  • A company decides to keep some processes and sensitive data in a controlled environment while capitalizing on the low overhead of a public cloud.

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

Thurman  Mills

Thurman Mills

1619140980

The Roadblocks of Cloud Native

Cloud native applications take full advantage of the cloud’s operational model, driving business value by being auto-provisioning, scaling, and redundant. By breaking down monolithic applications into independent but connected containers, developers create applications that can scale seamlessly according to demand. At its core, cloud native computing allows you to write and deploy code anywhere, in any one of and most likely several private, hybrid, and public cloud environments.

While the cloud native landscape is becoming more vast and complex each day, Kubernetes and other foundational tools have crossed the chasm and reached a size and scope where they must move beyond the early adopters and into the enterprise.

#cloud-project #cloud-computing #cloud-native #multi-cloud #cloud