Thurman  Mills

Thurman Mills

1619148540

The Google Cloud Associate Engineer Exam

Cloud Technology is growing at an exceptional speed; Cloud Engineers have long agreed to accept the challenge of AWS and Azure certifications.

Now the cloud platform that has consistent demand is Google Cloud. Google Cloud is a niche play still, but with that comes some great salary demand.

In the meantime, Google Cloud Platform has some of the highest salaries out there for certified professionals and consistently beating out AWS the last few years.

“For the second straight year, the GCP Cloud Architect certification is associated with the highest salaries in IT. This newer credential-it launched in 2017-allows IT professionals to certify as a cloud architect on the GCP platform. It demonstrates the ability to design, develop and manage a secure, scalable and reliable cloud architecture.” -Global Knowledge Salary Survey dated Feb 2020

#google-cloud #cloud-computing #cloud-services #cloud-engineering #google-cloud-platform

What is GEEK

Buddha Community

The Google Cloud Associate Engineer Exam
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

What Are Google Compute Engine ? - Explained

What Are Google Compute Engine ? - Explained

The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.

https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html

#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation

Thurman  Mills

Thurman Mills

1619148540

The Google Cloud Associate Engineer Exam

Cloud Technology is growing at an exceptional speed; Cloud Engineers have long agreed to accept the challenge of AWS and Azure certifications.

Now the cloud platform that has consistent demand is Google Cloud. Google Cloud is a niche play still, but with that comes some great salary demand.

In the meantime, Google Cloud Platform has some of the highest salaries out there for certified professionals and consistently beating out AWS the last few years.

“For the second straight year, the GCP Cloud Architect certification is associated with the highest salaries in IT. This newer credential-it launched in 2017-allows IT professionals to certify as a cloud architect on the GCP platform. It demonstrates the ability to design, develop and manage a secure, scalable and reliable cloud architecture.” -Global Knowledge Salary Survey dated Feb 2020

#google-cloud #cloud-computing #cloud-services #cloud-engineering #google-cloud-platform

Rusty  Shanahan

Rusty Shanahan

1597833840

Overview of Google Cloud Essentials Quest

If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out, Link.

Google Could Essentials is an introductory level Quest which is useful to learn about the basic fundamentals of Google Cloud. From writing Cloud Shell commands and deploying my first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

Let’s see what was the Quest Outline:

  1. A Tour of Qwiklabs and Google Cloud
  2. Creating a Virtual Machine
  3. Getting Started with Cloud Shell & gcloud
  4. Kubernetes Engine: Qwik Start
  5. Set Up Network and HTTP Load Balancers

A Tour of Qwiklabs and Google Cloud was the first hands-on lab which basically gives an overview about Google Cloud. There were few questions to answers that will check your understanding about the topic and the rest was about accessing Google cloud console, projects in cloud console, roles and permissions, Cloud Shell and so on.

**Creating a Virtual Machine **was the second lab to create virtual machine and also connect NGINX web server to it. Compute Engine lets one create virtual machine whose resources live in certain regions or zones. NGINX web server is used as load balancer. The job of a load balancer is to distribute workloads across multiple computing resources. Creating these two along with a question would mark the end of the second lab.

#google-cloud-essentials #google #google-cloud #google-cloud-platform #cloud-computing #cloud

Studying for the Google Cloud Associate Engineer Certification

Introduction

With the growing usage of cloud, Google’s Cloud Associate Engineer (ACE) certification offers a great way of demonstrating your aptitude with cloud engineering and cloud development.

This article provides resources and suggestions to aide in your studying for the ACE exam.

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I. Evaluation

Should you take this exam?

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Photo by Wes Hicks on Unsplash

1. Is cloud engineering for you?

If cloud computing sounds relevant to the work you’re doing or want to be doing, then cloud engineering is a skill you’re going to want to have.

  • If you’re new to Google Cloud Platform (GCP):
  • Google’s online courses on Coursera is a great learning tool and will give you the skills to build in the cloud.
  • If you already interact with Google Cloud Platform (GCP):
  • Studying for and taking the exam is a sure way to round out your skillset and introduce you to elements offered by GCP that you perhaps were unaware of. (Ex. Google’s private ip network to reduce latency and costs.)

2. Is certification beneficial?

  • Validate your skillset
  • Certification is a great validator of your skillset, both internally (you will be more confident of your skillset) and externally (you can prove you know what you’re talking about).
  • Increase employability
  • This one is pretty obvious.
  • Access to Google’s Certified Directory
  • Passing this exam will earn you placement on Google’s Certified Directory. You’ll also gain early release access to many GCP products.
  • Deadline as a motivator
  • The certification exam can serve as a motivator & deadline for your learning goal.

#cloud-engineer #google-cloud-platform #cloud-computing #google-cloud #data-science #big data