Deepali  Jain

Deepali Jain

1666770155

Which Cloud Platform Should You Choose for Your Enterprise?

Various organizations rapidly move to the cloud to run their operations more cheaply, quickly, and creatively. Amazon, Google, and Microsoft are the most trustworthy, adaptable, and secure cloud service providers that dominate the cloud market.
Customers can access various storage, networking, and computation choices through AWS, Azure, and Google Cloud's respective cloud platforms.

This blog can assist you in starting in this flourishing industry if you are new to cloud computing or want to add cloud experience to your resume. This article will contrast the top cloud providers: AWS, Azure, and Google Cloud. To assist you in choosing which cloud platform to learn from, we will examine the top three in more detail and highlight their main distinctions. But before we jump to this main thread, let's briefly overview each.

A BRIEF OVERVIEW OF 3 CLOUD PLATFORMS
AMAZON WEB SERVICES (AWS)
Amazon Web Services (AWS) is Amazon's cloud computing platform, which combines packaged software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS). Various businesses are benefited from AWS services as they receive tools like database storage, computing power, and content delivery services.

AWS offers many solutions and tools businesses, and software developers can use in data centers. In addition, AWS services are available to organizations like governmental bodies, academic institutions, non-profits, and for-profit businesses.

AZURE
Azure is a cloud computing service from Microsoft. It offers a variety of IaaS, PaaS, and SaaS options to deliver services and applications on the Microsoft data center infrastructure. To assist you in quickly overcoming your most difficult problems, Microsoft Azure offers more than a hundred services.

You can iterate quickly and deploy code utilizing an end-to-end cloud development platform thanks to Azure's agility and integrated Development Operations (DevOps). No matter what language you use or the open-source technology you prefer, the platform allows you to debug more quickly and easily than ever before.

GOOGLE CLOUD
The Google Cloud Platform has expanded since its 2010 inception to include over 100 services covering big data, networking, computing, and much more. Google Workspace, business Android, and Chrome OS are now among the services GCP offers.

GCP is the newest of the three cloud service providers compared to AWS and Azure. Despite this, it offers a wide range of cloud services capable of running and supporting any application.

AWS VS. AZURE VS. GOOGLE CLOUD
Various international businesses, such as Airbnb, Netflix, etc., prefer to use any of the three cloud platform providers. However, if you are a beginner, it may be difficult for you to choose the ideal platform because of its varying costs, features, and various other aspects. To know more, visit the original link: https://www.grepixit.com/blog/aws-vs-azure-vs-google-cloud-which-cloud-platform-should-you-choose-for-your-enterprise.html

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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

The Layers of a Cloud Data Platform

In this article, we’ll layer some of the critical and more advanced functionality needed for most data platforms today. Without this added layer of sophistication, your data platform would work but it wouldn’t scale easily, nor would it meet the growing data velocity challenges. It would also be limited in terms of the types of data consumers (people and systems who consume the data from the platform) it supports, as they’re also growing in both numbers and variety.

Let’s take a deeper dive into a more complex cloud data platforms architecture:

  • Exploring which functional layers exist in modern platform architectures and the roles they play;
  • Introducing the concepts of fast/slow storage, streaming vs batch, metadata management, ETL overlays, and data consumers;

#data-platforms #cloud-platform #big-data #cloud-data-platform #cloud

Google Cloud: Caching Cloud Storage content with Cloud CDN

In this Lab, we will configure Cloud Content Delivery Network (Cloud CDN) for a Cloud Storage bucket and verify caching of an image. Cloud CDN uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content close to our users. Caching content at the edges of Google’s network provides faster delivery of content to our users while reducing serving costs.

For an up-to-date list of Google’s Cloud CDN cache sites, see https://cloud.google.com/cdn/docs/locations.

Task 1. Create and populate a Cloud Storage bucket

Cloud CDN content can originate from different types of backends:

  • Compute Engine virtual machine (VM) instance groups
  • Zonal network endpoint groups (NEGs)
  • Internet network endpoint groups (NEGs), for endpoints that are outside of Google Cloud (also known as custom origins)
  • Google Cloud Storage buckets

In this lab, we will configure a Cloud Storage bucket as the backend.

#google-cloud #google-cloud-platform #cloud #cloud storage #cloud cdn

Zelma  Gerlach

Zelma Gerlach

1619050860

Cloud Operations Overview for Google Cloud Professional Architect

Operations Suite (Stackdriver) is a hybrid monitoring, logging, and diagnostics tool suite for applications on the Google Cloud Platform and AWS.

GCP Purchased Stackdriver and was rebranded to Google Stackdriver after the purchase.

Google has now rebranded the Stackdriver Suite as “Cloud Operations” This is important to know in case the exam has not been updated to reflect the change.

Cloud Operations monitors the clouds service layers in a single SaaS solution. Cloud Operations maintains native integration with Google Cloud data tools BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Datalab, and out-of-the-box integration with all your other application components.

In a nutshell Cloud Operations Suite allows you to Monitor, troubleshoot, and improve application performance on your Google Cloud environment.

#google-cloud-platform #google-cloud #cloud-computing #cloud-architecture #cloud