Complete Guide To Model Deployment Using Flask in Google Cloud Platform

In real-world, training and model prediction is one phase of the machine learning life-cycle. But it won’t be helpful to anyone other than the developer as no one will understand it. So, we need to create a front end graphical tool that users can see on their machine. The easiest way of doing it is by deploying the model using Flask.

In this article, we will discuss how to use Flask for the development of our web applications. Further, we will deploy the model on google platform environment.

What is Flask?

Flask is an API of Python that allows us to build up web-applications. It is designed for quick and easy initiation, with the ability to scale up to complex applications.

Getting the dataset

The dataset is taken from Kaggle, you can find it from this link . It has four attributes, describing a profile of a candidate and offering a salary to the candidate…

#machine learning #model deployment #python flask #restapi

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Complete Guide To Model Deployment Using Flask in Google Cloud Platform
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

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

Jessica Smith

Jessica Smith

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Google Cloud Platform Hosting Services in USA | SISGAIN

We strive to provide every customer business with google cloud hosting web services and managed series that are entirely personalized around the commercial and development goals of the company in USA. Businesses that work with us will see a marked improvement in efficiency. Managed Google Cloud Platform services from SISGAIN helps organisations leverage this relative newcomer’s big data and machine learning capabilities via our team of approachable experts. From solution design to in-life support we take the operational burden off dev and product development teams. For more information call us at +18444455767 or email us at hello@sisgain.com

#google cloud platform services #google cloud hosting web services #google cloud web hosting #gcp web hosting #google cloud server hosting #google vps hosting

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

Google Cloud EMEA Retail & Consumer Goods Summit: The Future of Retail

The way consumers make their everyday decisions is evolving, as digital ways of working, shopping and communicating have become the new normal. So now it’s more important than ever for companies in the retail sector to prioritise an insights-driven technology strategy and understand what’s truly important for their customers.

Through its partnerships with some of the world’s leading retailers and brands, Google Cloud provides solutions that address the retail sector’s most challenging problems, whether it’s creating flexible demand forecasting models to optimize inventory or transforming e-commerce using AI-powered apps. Over the past few years, we’ve been observing and analyzing the many facets of changing consumer behaviour. We are here to support retailers and brands as they transform their businesses to adapt to this new landscape.

Featuring consumer research and insights from your peers, Google Cloud’s Retail & Consumer Goods Summit will offer candid conversations to help you solve your challenges. We’ll be joined by industry innovators, including Carrefour Belgium and L’Oréal, who’ll discuss the future of retail and consumer goods.

#cloud native #google cloud platform #google cloud in europe #cloud #google cloud