I had a wonderful time to teach Microsoft’s customers "MS Azure deep dive" course at HackerU collage.
In this course we covered topics such as: Fundamentals of Cloud Computing, Cloud design and architecture, deploying smart, efficient and optimized infrastructures. the course covered the following topics: Virtual Machines, Web Apps, Storage, Networking, Active Directory, backup, automation, privacy, security, monitoring. And we also had time to cover advanced networking and security.
The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity. By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration.
Microsoft Azure - Is a collection of various cloud computing services, including remotely hosted and managed versions of proprietary Microsoft technologies, and open technologies, created by Microsoft for building, testing, deploying, and managing applications and services through a global network of Microsoft-managed data centers.
This course teaches IT Professionals how to manage their Azure subscriptions, including access, policies, and compliance, as well as how to track and estimate service usage and related costs. Students also learn how cloud resources are managed in Azure through user and group accounts. Students learn how to grant appropriate access to Azure AD users, groups, and services through Role-based access control (RBAC). Students also discover the core monitoring tools and capabilities provided by Azure, including Azure Alerts and Activity Log. Students are then introduced to Log Analytics as a broad data analytics solution, and use this service to query and analyze operational data. Students then learn about the Azure Resource Manager deployment model, and how to work with resources, resource groups and ARM templates.
Check out our New Microsoft Azure Cloud Computing Deep dive Labs course.
I had the honor to complete 5 days of "Microsoft Azure deep dive" course at HackerU Collage for Microsoft Partners. In this course we covered topics like: Cloud solutions design and architecture, deploying smart and efficient infrastructures in the cloud. We also covered topics like Virtual Machines, Storage, Networking, Active Directory, backup, automation, privacy, security, monitoring and many more.
The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity.
By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration.
Check out our Cloud Computing Essentials course for Amazon Web Services (AWS).
The cloud is a term referring to accessing computer, information technology (IT), and software applications through a network connection, often by accessing data centers using wide area networking (WAN) or Internet connectivity.
By moving your IT infrastructure and resources to the cloud you can benefit with cost savings, mobility, security and easy collaboration.
Cloud computing boasts several attractive benefits for businesses and end users.Main benefits of cloud computing are:
Self-service provisioning: End users can spin up compute resources for almost any type of workload on demand. This eliminates the traditional need for IT administrators to provision and manage compute resources.
Elasticity: Companies can scale up as computing needs increase and scale down again as demands decrease. This eliminates the need for massive investments in local infrastructure, which may or may not remain active.
Pay per use: Compute resources are measured at a granular level, enabling users to pay only for the resources and workloads they use.
Workload resilience: Cloud service providers often implement redundant resources to ensure resilient storage and to keep users' important workloads running -- often across multiple global regions.
Migration flexibility: Organizations can move certain workloads to or from the cloud -- or to different cloud platforms -- as desired or automatically for better cost savings or to use new services as they emerge.
Cloud computing deployment models (private, public or hybrid)
Private cloud services are delivered from a business's data center to internal users. This model offers the versatility and convenience of the cloud, while preserving the management, control and security common to local data centers.
Public cloud model, a third-party cloud service provider delivers the cloud service over the internet. Services are sold on demand, typically by the minute or hour, or even long-term commitments. Customers only pay for the CPU cycles, storage or bandwidth they consume.
Hybrid cloud is a combination of public cloud services and an on-premises private cloud, with orchestration and automation between the two. Companies can run mission-critical workloads or sensitive applications on the private cloud and use the public cloud to handle workload bursts or spikes in demand.
For more information check the course page:
"Cloud Computing Essentials course for Amazon AWS, Microsoft Azure and Google Cloud computing":
A computer cluster is a single logical unit consisting of multiple computers that are linked through a LAN or WAN. The networked computers essentially act as a single, much more powerful machine or as active / standby servers. A computer cluster provides much faster processing speed, larger storage capacity, better data integrity, superior reliability and wider availability of resources. Organizations often use computer clusters to maximize processing time, increase database storage and implement faster data storing & retrieving techniques.
The major advantages of using computer clusters are clear when an organization requires large scale processing. When used this way, computer clusters offer:
Cost efficiency: The cluster technique is cost effective for the amount of power and processing speed being produced. It is more efficient and much cheaper compared to other solutions like setting up mainframe computers.
Processing speed: Multiple high-speed computers work together to provided unified processing, and thus faster processing overall.
Improved network infrastructure: Different LAN or WAN topologies are implemented to form a computer cluster. These networks create a highly efficient and effective infrastructure that prevents bottlenecks.
Flexibility: Unlike mainframe computers, computer clusters can be upgraded to enhance the existing specifications or add extra components to the system.
High availability of resources: If any single component fails in a computer cluster, the other machines continue to provide uninterrupted processing. This redundancy is lacking in mainframe systems.
This Course is designed for people who have experience with Linux or UNIX, System administrators, developers, architects, decision makers can all benefit from the content covered in this class, especially if they are looking to work with High availability & Redundancy cluster computing.
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