How to Assign Computing Resources for Four Different Cloud Kubernetes Services: AKS,EKS...

Introduction

In this post, I show you how to specify computing resources for a Kubernetes node for four different cloud types:

1. Minikube, a popular method to train with or test Kubernetes on your local workstation(s) (sandbox);
2. The Elastic Kubernetes Service (EKS) for Amazon Web Services (AWS) cloud;
3. Azure Kubernetes Service (AKS) for Microsoft Azure cloud;
4. Google Kubernetes Engine (GKE) for Google Cloud Platform (GCP) cloud.

We start with a working definition of cloud, Kubernetes, node, node pool, cluster, and virtual machine.

What is a Cloud?

A cloud is a myriad of heterogeneous hardware, each with its own operating systems, that hosts your applications, which you want to replicate (scale) and start up again if the service fails (fault tolerance).

Note: I use “application” as a generic term for a microservice, service, application, package, network resource, storage service, or Application as a Service (AaaS_ == Saas)._

The cloud vendors realized that compute engines are commodities offered as generic compute types specified by the generic resources.

The cloud vendors combined…

• networked computing engine commodities with

…to offer you the ability to lease different types of computing engines for your different types of applications.

Note: Cloud vendors became feasible with open-source licensing, price-free licensing, and high bandwidth. Imagine the cost of managing licensing payments versus the maintenance cost of the open-source by the cloud vendor.

#kubernetes

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50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

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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.

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Cloud Computing Services | SaaS, PaaS, IaaS - WebClues Infotech

Cloud Computing Services

Data Management has taken a new turn with the introduction of Cloud Storage which has resulted in requirements for Cloud Computing. It is nothing but the data processing system that takes away a load of data management from the hands of individual devices.

Want to use cloud computing like Amazon Web Services (AWS) for your business data?

WebClues Infotech has been an expert in helping businesses with AWS cloud computing for years. We have helped the majority of our client base with AWS cloud computing to solve their data management needs.

Want to know more about our AWS cloud computing services?

Visit: https://www.webcluesinfotech.com/cloud-computing-aws-services/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

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Best Cloud Computing (AWS) Development Company

Mobile App Development India engineers, who hold years of experience in building data centers in the cloud. Being AWS partner, our app developer’s offer spearhead integration services for Cloud to Cloud and Business-to-Business for all three models - SaaS, PaaS and IaaS.

Contact: https://www.mobile-app-development-india.com/cloud-computing-aws/

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Clearing the air by debunking The Myths associated with Cloud Computing

Cloud computing is a one-stop solution to what can be the biggest problems for businesses in the future, i.e., storage of data. Therefore, whether your company belongs to the private or public sector, you should consider including cloud computing services in all your day to day work. Opting for cloud would help your organization to stay afloat in this rapidly changing business scenario in the long run.

Let us head straight to the top 7 myths that are prevalent in the tech market related to cloud computing and know them in detail.

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