As organizations increasingly migrate their IT infrastructure and services to the cloud, it is essential to understand the shared responsibility model. Cloud service providers offer a secure and scalable environment, but security and compliance are a shared responsibility between the provider and the customer. In this blog post, we will explore the shared responsibility model in cloud computing, emphasizing the crucial role it plays in maintaining a robust security posture and ensuring compliance. Understanding the Shared Responsibility Model The shared responsibility model defines the securit ..read more

Cloud computing has transformed the IT landscape, offering organizations a cost-effective and flexible approach to managing their computing resources. When adopting cloud services, it is essential to grasp the distinctions between capital expenditure (CapEx) and operating expenditure (OpEx). In this blog post, we will explore the differences between these two financial models in the context of cloud computing, enabling businesses to make informed decisions about resource allocation and budgeting. Capital Expenditure (CapEx): Capital expenditure refers to the upfront investment in physical infr ..read more

Cloud computing has revolutionized the way businesses approach IT infrastructure and services. When considering a move to the cloud, organizations are faced with various service models to choose from, each catering to specific needs and requirements. In this blog post, we will explore the key differences between the three primary cloud service models: public, private, and hybrid. Understanding these models will help businesses make informed decisions about the optimal approach to leverage the benefits of cloud computing.   Public Cloud: Public cloud services are provided by third-party se ..read more

A lot of Enterprises and organisation still have a traditional datacenter where they are in control of all aspects of the service they provide. But some are running large cloud migration projects to reduce the need for managing the hardware and also reduce the latency between need and deployment. When you are in control of racking and stacking the hardware, it needs to be available every time someone needs a server. With the raise of automation and virtualization the need to deploy hardware for each requirement is minimise and a large part of it is automated rather than a manual task. The next ..read more

Azure is Microsoft’s cloud computing platform with a wide range of services that can be used to help meet your needs. This could be anything from cloud storage, database hosting to more complex services based around Artificial Intelligence (AI) or the Internet of Things (IoT) The AZ 900 Azure Fundamentals course and exam focuses on providing an overview of these service. AZ900 is designed to give a brief introduction to a wide range of services that you may or may not use day to day. No matter what your end goal for learning Azure service is, AZ900 is the ideal first step into the Azure enviro ..read more

Introduction For AZ900 there are a number of terms and definitions that you need to know to successfully understand the content and resources discussed with the course. The Cloud Service Models are fundamental to understanding how various resources are can be used and where they fit into Cloud Services. There are three models: Infrastructure as a Service (IaaS) - On demand infrastructure, you deploy storage, networking or compute resources to fulfil your requirements. Platform as a Service (PaaS) - Development platforms and Managed Services, e.g. Azure SQL. Where underlying infrastructure ..read more

We looked at Azure's other solutions and services in the previous posts, including Internet of Things (IoT), Machine Learning, and Serverless services. This post will look at DevOps and Continuous Integration and Continuous Deployment (CI/CD) services. Microsoft has a set of tools to help implement DevOps processes and develop solutions using agile practices. Azure DevOps Azure DevOps is a suite of services that can be used for various stages of the development lifecycle. Azure Repos is a source-code repository where software development and DevOps engineering can publish code for review and ..read more

Azure offers a couple of different Serverless computing services. Serverless computing is a term for a managed cloud-hosted execution environment where the service provider manages and maintains the underlying infrastructure. All hardware concerns around high availability, scaling are looked after by Azure. You only have to worry about your code and then pay for the usage. Although the term used is "Serverless", this can be a bit misleading. There is a server or multiple servers involved in executing your code. "Serverless doesn't mean there are no servers, it means let's think about servers ..read more

In the previous post in the series, we discussed the Internet of Things (IoT) offerings Microsoft provides in Azure. We will now look at the various services hosted in Azure for Machine Learning and Artificial Intelligence (AI). AI is a large area of computing, based on creating systems that can adapt, learn, make decisions or mimic other cognitive functions without being explicitly programmed with a defined outcome. Azure Machine Learning Machine Learning is a sub-discipline of AI, where the systems learn by themselves, getting more competent and precise over time by using training data to i ..read more

During the AZ900 series we I have been looking at the core services offered by Azure. We will continue the series by looking at the Internet of Things (IoT) services Microsoft provides on the Azure platform. The Internet of Things is a term used to describe the network of devices with internet connected sensors, these sensors collect and relay data for analysis. Microsoft provides services within Azure that can collect this data and aggregate it to produce meaningful reports. The sensors transmit the data via messages to Azure, where managed services like Azure IoT Hub can be used to monitor a ..read more