Course Overview: Advanced Serverless Architectures with Microsoft Azure
Redefine your understanding of serverless architecture with our Advanced Serverless Architectures with Microsoft Azure course. Over two days, you’ll gain hands-on experience in building scalable, secure, and resilient serverless systems.
Learning Objectives:
- Master Function-as-a-Service with simple HTTP triggers.
- Develop serverless databases using Cosmos DB.
- Implement durable functions to enhance system reliability.
- Safeguard applications with API Management and Azure Active Directory B2C.
- Leverage observability tools like Azure Application Insights.
- Utilize chaos engineering to build resilient systems.
This course is ideal for anyone looking to build high-performance serverless architectures on Azure, with some familiarity in C# and basic front-end development being beneficial.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure you get the most out of the Advanced Serverless Architectures with Microsoft Azure course, the following minimum prerequisites are recommended:
These prerequisites ensure that learners have a foundational understanding that allows them to focus on the advanced topics presented in this course.
1. Introduction
Advanced Serverless Architectures with Microsoft Azure is designed for IT professionals aiming to master building scalable, efficient, and secure serverless systems using Azure.
2. Job Roles and Audience
Introduction: The Advanced Serverless Architectures with Microsoft Azure course is designed to equip students with the skills to build scalable, secure, and resilient serverless systems, leveraging advanced Azure functionalities for high performance and reliability.
Learning Objectives and Outcomes:
By the end of the course, students will be capable of building, securing, and maintaining complex serverless systems on Microsoft Azure to meet evolving platform requirements.
Observability is a practice in system engineering that involves tracking the internal states of a system by examining its outputs. It enables developers and operations teams to understand how their systems are performing in real-time and to foresee potential issues before they become critical. Observability involves collecting and analyzing data from various sources like logs, metrics, and traces. This depth of insight helps in proactive maintenance and quick troubleshooting, ensuring systems are efficient and reliable, which is crucial in environments like Microsoft Azure, where uptime and performance are critical.
Azure Application Insights is a feature within Microsoft Azure, a platform that offers a range of cloud services. It helps developers monitor the performance and availability of their applications. Whether you're taking an Azure cloud training or in an Azure architect course, learning about Application Insights is crucial. It collects detailed data on how applications are performing in real-time, which helps in detecting and diagnosing errors and issues swiftly. Those aiming for Azure foundation certification will find that understanding Application Insights aids in ensuring their applications can handle real-world use effectively.
Function-as-a-Service (FaaS) is a cloud computing service that allows you to execute code in response to events without the complexity of building and maintaining the infrastructure typically associated with developing applications. This model is part of the broader serverless architecture approach, where the cloud provider, like Microsoft Azure, fully manages the servers. FaaS is ideal for tasks that need to start and end within a short timespan. This makes development simpler and more cost-effective, as you pay only for the compute time you use, aligning perfectly with Azure Foundation Certification principles to maximize efficiency in cloud environments.
Serverless architecture is a way to build and run applications without dealing with servers. Essentially, developers write code tailored for a specific task, like processing data or handling a user request, which runs on servers fully managed by a cloud provider like Microsoft Azure. This allows developers to focus on their code alone without worrying about managing, scaling, or maintaining servers. Azure cloud training or an Azure architect course can be beneficial for understanding how to effectively use serverless architectures. Azure foundation certification might also help grasp core concepts needed for implementing serverless solutions in the Azure environment.
Serverless databases are a type of database management system hosted in the cloud that automatically scales to meet application demands. These databases eliminate the need for developers to manage server operations, allowing them to focus more on designing and improving applications. Microsoft Azure offers this technology, enabling seamless integration with Azure cloud services. Ideal for projects requiring high flexibility and minimal database management, serverless databases provide cost-efficient solutions by charging only for the resources used. They're particularly beneficial for applications with unpredictable traffic, reducing overhead and enhancing performance through Azure's robust cloud infrastructure.
Cosmos DB is a Microsoft Azure database service that's globally distributed and multi-model. It is designed to scale horizontally, with high availability, low latency, and tunable consistency. Cosmos DB supports schema-less data, which makes it flexible to evolve your applications effortlessly. It integrates well with other Azure services, enhancing performance and scalability. Ideal for businesses that require a highly responsive and always-on database for apps worldwide. This platform is covered extensively in azure cloud training and azure architect courses, aiming to boost proficiency with azure foundation certification.
API Management is the process of creating, promoting, and overseeing application programming interfaces (APIs) in a secure and scalable environment. This practice allows organizations to manage API lifecycles, from creation to deprecation, ensuring effective integration and communication between different software applications. API Management tools help in monitoring traffic, analyzing usage, enforcing policies, and ensuring the security of APIs. It supports businesses in maximizing the potential of their digital assets, improving interoperability across various platforms and applications, which is crucial for leveraging cloud solutions like Microsoft Azure.
Durable functions are a feature within Microsoft Azure, designed for complex, stateful workflows in a serverless environment. Essentially, they allow you to write long-running, reliable orchestrations of functions and activities. Using Azure, durable functions manage state, checkpoints, and restarts automatically, making them ideal for workflows like order processing or approval systems. This capability is part of the larger Azure Functions service, enhancing it for scenarios requiring tasks that persist over time. For professionals seeking deeper understanding, the Azure cloud training and Azure architect course offer extensive insights into implementing durable functions effectively.
Azure Active Directory B2C is a Microsoft cloud service that helps manage customer, consumer, and citizen access to internet-based applications. It provides identity and access management solutions, allowing users to sign in and use your applications with their existing social accounts or personal emails. This service lets businesses customize and control how customers sign up, sign in, and manage their profiles when using your apps, enhancing the user experience while securing user identities. Ideal for any size of business, Azure AD B2C integrates easily with Azure cloud environments, ensuring a scalable and secure user authentication solution.
Chaos engineering is a practice used to improve system resilience by intentionally introducing disturbances into systems to test and ensure they can withstand and recover from unexpected disruptions. This approach helps identify weaknesses before they become actual problems. In environments like Microsoft Azure, where systems are complex and dynamically changing, chaos engineering is crucial. It ensures that services remain reliable and efficient, even under stress, making it an essential technique for professionals pursuing Azure architect courses or azure cloud training. This method aligns well with Azure foundation certification goals, promoting robust cloud architecture.
1. Introduction
Advanced Serverless Architectures with Microsoft Azure is designed for IT professionals aiming to master building scalable, efficient, and secure serverless systems using Azure.
2. Job Roles and Audience
Introduction: The Advanced Serverless Architectures with Microsoft Azure course is designed to equip students with the skills to build scalable, secure, and resilient serverless systems, leveraging advanced Azure functionalities for high performance and reliability.
Learning Objectives and Outcomes:
By the end of the course, students will be capable of building, securing, and maintaining complex serverless systems on Microsoft Azure to meet evolving platform requirements.