Internet of Things
- Azure IoT hub. PaaS. Managed and Secure, Ease of Deveployment, Scaling and Authentication
- IoT Central. SaaS. No Coding needed. Pre-made connectors.
- Azure Sphere. Use specific hardware chipsets, specific service for updates and maintenance, Azure Sphere OS
Big Data
- Big Data = better service, better products, more profits.
- Parallel Processing. Data Lake Analytics includes parallel processing
- HDInsights. Using all open source frameworks such as Hadoop, Spark, and Kafka
- Azure Databricks. Based on Apache Spark, distributed cluster-computing framework. Can run and process many computers simultaneously. Databricks provides all the computing power and integrates with other Azure Storage Services
- Azure Synapse Analytics. Synapse SQL language to manipulate data. Speed, Cost Reduction, Better Decision Making, New Products and Services
Machine Learning
- Models
- Knowledge Mining
- Built-in Apps
- Azure Bot Service. PaaS for building a Q&A bot, virtual assistants, and more. Create using a visual editor or programming. Natural Language and speech integration. Use your own branding.
- Azure Cognitive Services. Vision, Decision, Speech.
- Machine Learning Studio. Visual tool. Pre-made modules for your project.
- Machine Learning Service
- End-to-end Service
- Tooling
- Automation of models
Serverless
- yes there are servers, extreme PaaS
- Azure Functions. Single Task is performed every time. Basic Compute Unit
- Logic Apps. Connect Systems. Automation. Quick start
- Event Grid. Routing Service, Serverless, Ease of Use
DevOps
- Azure DevOps – platform consisting of 5 tools
- Azure Boards
- Azure Pipelines: CI/CD
- Azure Repos: Source Code
- Azure Test Plans: Design tests of applications to implement automatically
- Azure Artifacts: share applications and code libraries
- Azure DevTest Labs: allows developers and engineers to create environments for test and development
- Environment Management: create environments for test/development
- Cost Management: you won’t incur unexpected costs
- Templates: tailor development and test environments and re-use the with template deployments
- GitHub and GitHub Actions
- Code Repository service for lots of big and small projects
- A favorite among open-source communities
- GHActions: very similar to Azure Pipelines, build code/test/publish code, works with almost any platform such as AWS, GCP, and many more