AWS_Serverless_Web_Day

Mit “serverless” meinen wir, dass keine explizite Infrastruktur erforderlich ist – also ganz ohne Server und ohne Deployments. Diesen raffinierten Ansatz können Sie mit wenig Aufwand und nur mit der Hilfe von verwalteten Cloud-Services und eines Laptops selbst umsetzen.

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Serverless architectures allow you to build and run applications and services without having to manage infrastructure. With serverless architectures, your application still runs on servers, but all the server management is done by AWS. In this session, you will learn how to build applications and services using a serverless architecture. We will discuss how you can use AWS Lambda to run code for any type of application or backend service; Amazon DynamoDB to store application data with high scalability and redundancy; and Amazon API Gateway to create and manage secure API endpoints.

Language: German

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45:20
Getting Started with Serverless Architectures

Learn how GraphQL can help you bring structure to your serverless backend. In this session we will:

  • Explore what GraphQL is and how it solves new problems faced by developers building serverless applications.
  • Set up a GraphQL api using Graphcool.
  • Extend the GraphQL schema in a type safe way with serverless functions.

Language: English

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45:00
Building a Serverless Backend with GraphQL and Lambda

As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences.

Language: German

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47:03
Serverless Architectural Patterns and Best Practices

The Internet of Things is considered the third wave of the development of the internet adding billions of devices and increasing the number of data exponentially. This is only possible with a scalable backbone which is the public cloud made popular by Amazon with AWS. There have been in the past attempts to develop new products based on device data to leverage new business model. They had to cope with a limited amount of resources for their business cases. Such an example is the tracking of a large fleet of vehicles for compliance and optimization purposes. We at codecentric helped a customer to evolve his architecture from an application server with RDS to a serverless architecture with AWS IoT and Lambda. For that purpose, we built a PoC which was able to access real live (hot) and historic (cold) vehicle data. The resulting serverless scalable architecture and the performance results will be presented in this talk.

Language: German

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35:01
Serverless fleet tracking at scale with AWS IoT and Lambda