Azure Management Portal

Azure Management Portal

Let us see how the management portal for azure looks like:On the left side, all the resources are listed. These resources can broadly be divided into the following categories:

Compute

It is used to process data on the cloud by making use of powerful processors which serve multiple instances at a time.

Storage Services

The storage as the name suggests, is used to store data in the cloud with the ability to scale as and when required. This data can be stored anywhere.

Database:The database domain is used to provide reliable relational and non relational database instances managed by Azure.

Networking:It includes services which provide a variety of networking features such as security, faster access etc.

Developer Tools:It includes services which provides services that ease the ability to code for an organization. For example: it eases the teams to share code, track work and ship software.

Management and Monitoring Tools

It includes services which can be used to manage and monitor your Azure instances.

Enterprise Integration:Services that bring functionalities like seamlessly integrating the enterprise and the cloud.

Security and Identity:It includes services for user authentication or limiting access to a certain set of audience on your Azure resources.

Web and Mobile Apps:These are mainly used to create web apps or mobile apps for any platform and any device.

Compute Services

Virtual Machine:Deploys any workload in any language and any operating system virtually. With Virtual Machines, you get the flexibility in virtualization for a wide range of computing solutions. This instance is just like your own personal server, the only difference is that it is only deployed only on the cloud.

VM Scale Set:VM Scale Sets are Azure compute resource that one can use to deploy and manage a setVM Scale Set - Azure Tutorial - Our institute of identical Virtual Machines. Since these VMs are configured exactly same, they support true autoscale, and hence are suitable for applications where the computing requirements vary over time.

Azure Container:Creates a container hosting solution optimized for Azure. A container is basically used to make your application portable to make it run on any system, without worrying about the different environments of the target or source system.

Container Registry:For storing and managing the above said container images, across all types of Azure deployments, azure came up with a service called Container Registry. It keeps the container images near the deployments, so as to reduce latency and costs.

Functions:Write code without worrying about the infrastructure and provisioning of servers. This type of Functions - Azure Tutorial - Our institutearchitecture is called ‘serverless’ architecture. But, functions cannot be used to deploy an application, it can only be used to execute background tasks.

Batch:Scale up to tens, hundreds or thousands of virtual machines along with staging data and executing compute pipelines. You can choose your platform i.e Windows or Linux depending on your workload. Also, you don’t have to wait in queues anymore, with batch all your work can be completed in seconds, irrespective of the workload. Best Part? Pay only for what you use.

Service Fabric:A compute service that orchestrates and manages the execution, lifetime, and resilience of cService Fabric - Azure Tutorial - Our instituteomplex, inter-related code components that can be either stateless or stateful. It can scale up to thousands of servers.

Cloud Services:It is a Platform as a Service (PaaS), in which you don’t have to worry about the underlying hardware, just upload your code and you are set!. It Supports Java, Node.js, PHP, Python, .NET and Ruby, so that you get to focus on apps, not hardware.

Storage Services

Blob Storage:It is an object storage service, its use cases include cloud applications, content distribution, backBlob Storage - Azure Tutorial - Our instituteup, archiving, disaster recovery, and big data analytics. It can store any type of data in the cloud as objects/blobs (such as text, binary or media file, etc.)

Queue Storage:It provides a managed message queuing service for communicating between decoupled application components. It makes components fault tolerant by, making the components independent, If part of your architecture goes down, messages are buffered and then naturally picked up by other message processing nodes, which maintains the integrity of your workload.

File Storage:Migrate your data to Azure File storage and then integrate with clients or applications throughFile Storage - Azure Tutorial - Our institute simple configuration changes. It is simple lift-and-shift cloud migration, without code changes. Plus, you no longer have to manage on-premises file servers or the hardware and cost.

Table Storage:Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also is not a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away.

Database Services

SQL Databases:With built-in intelligence that learns app patterns and adapts to maximize performance, reliability and data protection, Azure SQL Database is a cloud database built for developers. It makes building and maintaining applications easier and more productive. 

DocumentDB: A fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution and ease of development.

Redis Cache:Redis is an advanced key-value store, where keys can contain data structures such as strings, hashes, lists, sets and sorted sets. Redis supports a set of atomic operations on these data types. Redis also supports trivial-to-set-up master-subordinate replication, with very fast non-blocking first synchronization and auto-reconnection on net split.