Cloud basierende Lösungen für IaaS, PaaS oder SaaS Infrastrukturen benötigen ein gut geplantes Design, damit durch sie die geforderten Geschäftserfolge zu erreichen sind.
DIESES SEMINAR WIRD DURCH DAS NEUE SEMINAR AZ-300 MIT DER SEMINARNUMMER 29496 ANGELÖST. TERMINE SIND VERFÜGBAR.
Folgende Voraussetzungen werden von Microsoft empfohlen:
This course is intended for students who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have a thorough understanding of most services offered on the Azure platform.
For the interactive component, this course offers students the opportunity to deploy Azure solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags and Role-Based Access Control.
The candidates targeted by this training have intermediate experience in designing, implementing and monitoring Azure solutions. Candidates are also proficient with the tools, techniques, and approaches used to build solutions on the Azure platform.
Before attending this course, students must have the following technical knowledge:
Wir empfehlen vorab die Teilnahme an den Seminaren MOC20532 und MOC20533.
Das Seminar MOC 20535 behandelt die folgenden Themen:
Module 1: Application Architecture Patterns in Azure
This module introduces and reviews common Azure patterns and architectures as prescribed by the Microsoft Patterns & Practices team. Each pattern is grouped into performance, resiliency, and scalability categories and described in the context of similar patterns within the category.
Module 2: Deploying Resources with Azure Resource Manager
This module establishes a basic understanding of Azure Resource Manager and the core concepts of deployments, resources, templates, resource groups, and tags. The module will dive deeply into the automated deployment of resources using ARM templates.
Module 3: Building Azure IaaS-Based Server Applications
This module identifies workloads that are ideally deployed using Infrastructure-as-a-Service services in Azure. The module focuses on the VM Scale Sets and Virtual Machine services in Azure and how to best deploy workloads to these services using best practices and features such as Availability Sets.
Module 4: Creating Managed Server Applications in Azure
This module describes services that use infrastructure but manage the infrastructure on behalf of the user instead of obfuscating the infrastructure resources. The module focuses on infrastructure-backed PaaS options such as Azure Service Fabric, Container Service, and App Service Environments. The module will explore how to deploy custom workloads to these services such as an HPC batch processing task.
Module 5: Authoring Serverless Applications in Azure
This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.
Module 6: Backing Azure Solutions with Azure Storage
This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure. The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution.
Module 7: Comparing Database Options in Azure
This module compares the various relational and non-relational data storage options available in Azure. Options are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake).
Module 8: Networking Azure Application Components
This module describes the various networking and connectivity options available for solutions deployed on Azure. The module explores connectivity options ranging from ad-hoc connections to long-term hybrid connectivity scenarios. The module also discusses some of the performance and security concerns related to balancing workloads across multiple compute instances, connecting on-premise infrastructure to the cloud and creating gateways for on-premise data.
Module 9: Managing Security and Identity for Azure Solutions
This module discusses both security and identity within the context of Azure. For security, this module reviews the various options for monitoring security, the options available for securing data and the options for securing application secrets. For identity, this module focuses specifically on Azure Active Directory (Azure AD) and the various features available such as Multi-Factor Authentication (MFA), Managed Service Identity, Azure AD Connect, ADFS and Azure AD B2B/B2C.
Module 10: Integrating SaaS Services Available on the Azure Platform
This module introduces multiple SaaS services available in Azure that are available for integration into existing Azure solutions. These services include Cognitive Services, Bot Service, Machine Learning and Media Services.
Module 11: Integrating Azure Solution Components using Messaging Services
This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform. Messaging services described include Azure Storage Queues, Service Bus Queues, Service Bus Relay, IoT Hubs, Event Hubs, and Notification Hubs. Integration services include Azure Functions and Logic Apps.
Module 12: Monitoring and Automating Azure Solutions
This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed. The module reviews services that are used to monitor individual applications, the Azure platform, and networked components. This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure.
Am ersten Kurstag um 10.00 Uhr: Ca. 15 Minuten sind vor Kursbeginn für die Registrierung vorgesehen. An den nachfolgenden Tagen sind die Kurszeiten von 9.00 - 17.00 Uhr.
|Startdatum||07.10.2019 - 09:00|
|Enddatum||11.10.2019 - 17:00|
|Reduzierter Preis||€ 2.270,50 (Until 01.11.2019 00:00)|