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LP: https://docs.microsoft.com/en-us/learn/paths/az-900-describe-core-solutions-management-tools-azure/

find about days and hours of sla

Azure IoT fundamentals

LM https://docs.microsoft.com/en-us/learn/modules/iot-fundamentals/

Azure IoT Hub

Definition: Managed service hosted in the cloud. Central hub for bi-directional communication with devices and the cloud.

Features:

  • Device-to-cloud telemetry
  • File upload from devices
  • Control devices from the cloud
  • Monitoring of device creation, failures, connections

Key difference with IoT Central: More control, less managed (no dashboard). Telemetry analysis.

Azure IoT Central

Definition: Builds on IoT Hub with a dashboard to connect, monitor and manage IoT Devices

Features:

  • Dashboard for managing devices
  • Push firmware updates to devices
  • Provides starter templates for common scenarios

Key difference with IoT Central: Less control, more managed (dashboard included).

Azure Sphere

Definition: End-to-end, secure IoT solution. From hardware to OS and messaging from the device to the message hub.

Three parts:

  1. Azure Sphere Micro-Controller (MCU): Processes OS and signals from attached sensors.
  2. Custom Linux OS that handles communication with the security service
  3. Azure Sphere Security Service (AS3): Makes sure the device hasn't been compromised

Features:

  • Built-in communication and security features for IoT devices

Azure AI Fundamentals

LM https://docs.microsoft.com/en-us/learn/modules/ai-machine-learning-fundamentals/

Azure Machine Learning

Definition: Platform for working with models. Tools and services that allow you to connect to data, train, and deploy models.

Features:

  • Define how to obtain, handle, and split data in training and test sets.
  • Train and evaluate modules with programming languages like Python
  • Pipeline creation for compute-intensive tasks
  • Best-algorithm deployment with an API to a REST endpoint

Azure Cognitive Services

Definition: Provides pre-built ML models to see, hear, speak, understand and reasoning.

Features:

  • Solves generic problems, like text sentiment analysis, image or face recognition

4 categories:

  1. Language: Process NLP
  2. Speech: Speech-to-text, and text into natural sounding speech. Language translations
  3. Vision: Analyze and recognize pictures, videos or other visual content
  4. Decision: Automatic and Personalized recommendations for users. Detect abnormalities in Time Series data.

Azure Bot Service and Bot Framework

Definition: Platform for creating virtual agents that can reply to questions as a human.

Features:

  • Virtual agent that can communicate intelligently with humans
  • Uses other Azure services like Azure Cognitive Services to proces information better

Serverless Fundamentals

LM https://docs.microsoft.com/en-us/learn/modules/serverless-fundamentals/

Azure Functions

Definition: Use a programming language that responds to an event based on a queue, timer, or HTTP request.

Features:

  • Use common languages like C#, Python, JavaScript, Typescript, Java and PowerShell
  • Scales automatically
  • Stateless environment, but can be connected to storage to persist data
  • Orchestration possible with Durable functions, chaining functions together and maintaining state.

Key difference from Azure Logic Apps: Azure is a serverless compute service, not meant to be a long-running business-logic process that connects with other services.

Azure Logic Apps

Definition: A low-code/no-code platofrm that helps automate and orchestrate tasks, business processes and workflows.

Features:

  • Integration for apps, data, system, enterprise (EAI), and B2B
  • Web-based designer triggered from Azure services
  • Trigger from events like timers, a queue, or an HTTP request (like functions)
  • Over 200 pre-made solutions (connectors) for SalesForce, SAP, Oracle DB, and file shares

Key difference from Azure Functions: Logic Apps is an orchestration service. Pricing is dependent on the connector.

Azure DevOps & DevTest Labs

LM https://docs.microsoft.com/en-us/learn/modules/azure-devops-devtest-labs/

Azure DevOps

Definition: Suite of services for all stages of software development lifecycle

Services included:

  • Azure Repos: Source-code repositories
  • Azure Boards: Project management
  • Azure Pipelines: CI/CD automation tooling
  • Azure Artifacts: A repository for hosting artifacts that can be used in deployment or testing pipelines
  • Azure Test Plans: Automated testing tool for CI/CD pipelines that can ensure quality before a release

Key difference from GitHub: Enterprise development, with more project-management, planning tools and fine-grained access control.

GitHib and GitHub Actions

Definition: Git Source-code repositories and CI/CD automation

Features:

  • Shared repos that allow code reviews, comments, questions, and discussions before merging code
  • Helps project management with Kanban boards included
  • Issue reports, discussion, and tracking
  • CI/CD pipelines via GitHub Actions
  • Wiki for collaborative docs
  • SaaS or on-premise capabilities

Key difference from Azure DevOps: More lightweight, less customizable, less project-management and planning tools.

Azure DevTest Labs

Definition: Service for automating building, setup, and tearing down of VMs that build software projects.

Features:

  • Test across a variety of environments and builds
  • Support for anything that ARM templates can deploy
  • Shutdown or fully deprovision VMs after completion

Management Fundamentals

LM https://docs.microsoft.com/en-us/learn/modules/management-fundamentals/2-identify-product-options

Azure Portal

Definition: Web-based UI to access almost every feature and service of Azure.

Features:

  • View all services you are using
  • Create new services
  • Configure new or existing services
  • View reports

Azure Mobile App

Definition: iOS and Android mobile app to access Azure resources remotely.

Features:

  • Monitor health and status of services
  • Check alerts
  • Restart web apps or VMs
  • Run the CLI or PowerShell commands to manage Azure resources

Azure PowerShell

Definition: A shell where you can execute commands called cmdlets (command-lets) that call into the Azure REST API for resource/service management.

Features:

  • Execute independently or combined to orchestrate setup, teardown, or maintenance or 1 or more resources
  • Deploy an entire infrastructure wich might contain hundreds of resources
  • Use imperative code
  • Create repeatable+automatable processes by using code
  • Windows, Linux, OSX, and browser availability via Azure Cloud Shell

Azure CLI

Definitio: A CLI tool to execute commands in Bash that call the Azure REST API for resource/service management.

It is almost the same as Azure PowerShell

Key difference: The syntax used. If you are proficient in Bash, then use the Azure CLI.

Features:

  • Execute independently or combined to orchestrate setup, teardown, or maintenance or 1 or more resources
  • Deploy an entire infrastructure wich might contain hundreds of resources
  • Use imperative code
  • Create repeatable+automatable processes by using code
  • Windows, Linux, OSX, and browser availability via Azure Cloud Shell

ARM Templates

Definition: Describe infrastructure in a declarative way using JSON.

Features:

  • ARM templates are verified before execution
  • Orchestration of resources in parallel
  • Define only the desired state and configuration of each resource
  • Templates can use PowerSHell or the Azure CLI for before/after actions

Monitoring Fundamentals

LM https://docs.microsoft.com/en-us/learn/modules/monitoring-fundamentals/

Azure Advisor

Definition: Evaluates your Azure resources and makes recommendations for reliability, security, performance, and reduce costs.

Features:

  • Get alerts on new recommendations that you can use, dismiss, or postpone
  • Personalized recommendations for all your subscriptions
  • Available in the Azure Portal and the REST API

5 categories:

  • Reliability: Improve availability of applications
  • Security: Detect threats and vulnerabilities
  • Performance: Improve speed of applications
  • Cost: Optimize/reduce Azure spending
  • Operational Excellence: Deployment best-practices, efficiency workflow, resource management

Azure Monitor

Definition: Platform to collect, analyze, visualize, and take action based on data from your entire Azure and on-premise environment

Features:

  • Monitor applications, integrating them with PagerDuty, Jira, or Azure DevOps
  • Monitor and optimize your infrastructure, including VMs, K8s, and Storage
  • Monitor and diagnose your network, trigger packet capture or analyze routing issues
  • Supports an extensive query language to analyze and get insights from operational data
  • Visualize, analyze, gain insights, and set alerts based on monitoring data

Application Insights uses Azure Monitor under the hood

Azure Service Health

Definition: A personalized view of Azure services, regions, and resources health.

status.azure.com does not provide the full picture. as its main informational dashabord

Features:

  • Both major and smaller health displays, localized to issues that affect you
  • Peronalizable to services and regions that are interesting to you
  • Set up alerts to help triage outages
  • Provides official incident reports and Root Cause Analyses (RCAs)
  • Advertises Planned Maintenance that can affect availability
  • Publishes Health Advisories that include service retirements (sunsetting) or breaking changes.

Key difference with status.azure.com: The status dashboard is not personalized and not granular to issues that might affect you directly.