One way to reduce cloud provisioning costs on Amazon Web Services (AWS) is by using spot instances. Spot instances are spare compute capacity on AWS that is available at a discounted price. By using spot instances, you can access the same types of EC2 instances as on-demand instances, but at a lower cost.
Creating and deploying a custom provider with Terraform is a relatively simple process, but it can be time-consuming if you’re new to the platform. In this tutorial, we’ll walk through the steps necessary to create and deploy a custom provider, as well as discuss some of the more advanced features and techniques that you can use to make your provider more powerful and effective.
Serverless architectures are becoming increasingly popular as businesses seek to take advantage of the scalability, flexibility, and cost-efficiency of the cloud. One key design pattern for serverless architectures is the messaging fanout pattern, which can be implemented using Amazon Simple Notification Service (SNS).
The rise of cloud computing has fundamentally changed the way businesses and organizations operate, providing access to scalable and flexible computing resources on demand. As a result, designing and implementing effective cloud architectures has become a critical skill for IT professionals. In this article, we will explore the key principles and best practices for designing and implementing cloud architectures, with a focus on popular cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. We will also discuss the challenges and considerations involved in migrating to the cloud, and provide guidance for building robust and secure cloud architectures that can support your organization’s needs.
As artificial intelligence (AI) continues to advance and become more widespread, it is important to consider the ethical implications of its use. While AI has the potential to provide numerous benefits, it also raises serious concerns about its potential for misuse and harm.
Governments can start AI regulation by tackling pressing problems of unethical existing AI. Ethical training is of the essence in the Computer Science curriculum.
While AI can greatly improve our safety. It is there to remind us of what we can be forgetful about or make us aware of inherent risks. However, we should be careful when counting on it to be our angel guardian.
While it is exciting to make Artificial Intelligence projects that can interact with human beings. It is of essence for AI designers and developers to be mindful of all possible user input data, as it can be very dangerous.
Artificial Intelligence & the advancement of machine learning is inevitably going to impact the world we live in. Here are five major ways it’ll impact our everyday lives.
When we run regression, we hope to be able to generalize the sample model to the entire population. To do so we have to meet several assumptions of the multiple linear regression model. If we are violating these assumptions it stops our generalizing conclusions to our target population because the results might be biased or misleading, so what are the assumptions ? how do we check them ?