3 types of computing resources - VM, App service (for web site hosting), functions (serverless) storage types - blob storage (file), queue storage (hold the tasks in sequence) and backup strrage account contains: blobs (in containers - buckets) - images, files etc queues - messages file system (smb protocol) - similar to blob but can be mounted as a drive to your local machine upto 5TB tables - NOSQL data store stores structured non-relational data, has the partition key and the rowkey azure vm - windows sever 2022, 1vpu / 1GB ruchira1, mhrvk!632034 Z drive - \\rvkstoragegroup.file.core.windows.net\rkfileshare pw - e+2ikyeaZQKiIqpZXW0pVUno3NaGXYRQykihrLvug1spvFnF1oF9du/oVjkhXfpG8O5aw5JYosKd+AStJhX/uQ== user - localhost\rvkstoragegroup azure AD - multi-tenant, cloud based directory and IAM service 3 types - azude ad basic, premiun1, premium2 create doimains before adding users Azure devops tools - azure boards (planning the project, work items, backlogs, sprints, dashboards, boards), azure repos (source repository), azure pipelines (building code and deliver to diff env), azure artifacts (store the dependencies related to a single project), azure test plans should navigate to dev.azure.com to create an azure devops organization for devops select -> azure devops organizations and create a new org req hierachy = Epic -> Feature -> User story GIT is integrated with Azure devops via VS code As soon as someone checks in a code, Azure piprlines automatically triggers build job Azure Data factory: for building ETL pipelines Azure synapse analytics (earlier sql data warehouse) azure data factory design site - adf.azure.com Azure ML: azure ML studio helps to automate the data pre-processing and model selection first need to crate an ML workspace using Azure machine learning option launch the studio in ml.azure.com Azure IoT: Azure IoT Cenetral - SaaS (like gmail, application and data owned by third party) Azure IoT accelarator - PaaS (operator has to build the apps) Azure bot - self learning chat not qnamaker.ai - before creatong the bot first create knowledgebase then by creating a page in facebook, can link the chatbot to the page link to page via developers.facebook.com -> new app id -> messenger Security: Azure uses Azure SDL - security development lifecycle Roles - web role, worker role, VM role ASG - VM scale sets Azure availablity sets - grouping of VMs for HA fault domains, update domains break-fix issues - technical problems azure AD - PaaS based service, IAM for azure, can connect cloud and on-prem apps and enable access, no need for a VPN azure service fabric - similar to service mesh learn networking and security