#aws

Have you ever wonder how to get the best out of your Lambda functions?If so, this talk will reveal the behind the scene one of the most popular serverless service and you will be exposed to a step by step guidance for optimizing your functions.During this session, I will walk you through the mindset to reduce your Lambda functions execution time. In the example presented I was able to reduce the execution time by 95% for warm start and over 50% with cold starts improving also the transactions per seconds served with this API.

Many companies are going all-in AWS and thus adopting their complete CodeSuite for their CI/CD processes. However, while CodePipeline is the platform for this process, it may not be the most user-friendly. In a Monorepo setup, it's typical to create multiple CI/CD pipelines for each package. However, there are several caveats to be aware of. For instance, you may encounter scenarios where multiple pipelines get triggered even if you just modified one file, or you may question the need to create multiple branches for each pipeline. In this talk, we provide valuable tips for building a sophisticated CodePipeline using CDK in a Monorepo environment. The techniques discussed in this talk are also transferrable to other CI/CD tools.

In this session, I share with you how AWS CDK and AWS Toolkit can simplify the developer experience to run serverless workloads in the cloudA session with no slides, just an IDE and a CLI for deploying an API in the cloud, update it quickly, and retrieve logs without leaving your favourite IDE!

In this talk I explain how the AWS Lambda service works explaining the architecture, how it scales and how a developer should think about when they design their software using Lambda functions

Observability is crucial for successfully operating large IoT fleets. IoT incorporates different components, including hardware, network, on-device software, and cloud. Devices operate under unreliable conditions and constraints, and need to be monitored remotely. Cloud applications become complex and costly, as they are built to handle device activity at scale. Answering questions such as:
-    Do I have a problem in my IoT application?
-    Where is the problem?
-    What is causing the problem?
-    How much of my fleet is affected?
-    Is my code expensive to run and if yes, how can I fix that? ,
can be challenging. Logging, monitoring and tracing are fundamental observability pillars. However, they are often viewed as non-functionals in IoT applications, and can fall off the radar, or are not standardized during development.

This session will show how to leverage Open Source tools, such as AWS Lambda PowerTools, in a fully functional Serverless IoT application, to ease adoption of best practices for modern application development, and integrate services such as Amazon X-Ray, Amazon CloudWatch and AWS IoT Core features, to achieve end-to-end observability.

CDK is growing in popularity in the AWS ecosystem, and is set to be the successor of CloudFormation, being built natively for the configuration of AWS resources. Learn how this is a game changer for NodeJS programmers & stacks.

We consider what IaC (Infrastructure as Code) is and why we should invest our time/money into it. It’s going to be a workshop-style talk and as the result, the end of it you will have complete infrastructure as code for React application on AWS written in TypeScript

In this talk, I will demonstrate how to create a CI/CD pipeline for a React application in AWS. We'll pull the source code from GitHub and run tests against the application before deploying it to an S3 bucket for static site hosting. The site will then be distributed using CloudFront which will point to the S3 bucket. All of the infrastructure will be built using Terraform. In addition, I'll make use of Terragrunt to show how to create this setup for multiple environments.

For years AWS has offered CloudFormation as an approach to Infrastructure as Code (IaC). CloudFormation allows application stacks to be provisioned from JSON or YAML formatted templates. Unfortunately, due to their size and complexity, CloudFormation templates have earned a reputation as being unwieldy to work with. The AWS Cloud Development Kid (CDK) mitigates some of the complexity associated with CloudFormation allowing developers to programmatically define their cloud architecture using familiar high-level languages such as JavaScript and TypeScript. CDK projects can then be deployed via CloudFormation, while retaining all of the benefits of CloudFormation, such as repeatable deployments and drift detection.
This talk will introduce the CDK in the context of Node.js and demonstrate how it can be leveraged to provision cloud native architectures.

AWS ushered in a new landscape for deploying JavaScript applications using Node.js hosted in AWS Lambda, and since then the management simplicity that it provides has made serverless applications and APIs grow exponentially in both popularity and use cases. However, operationally for many starting out, troubleshooting issues can be painful. I'll walk through some techniques to make this easier and provide an evolution of how we can get to a better solution with tips and tools you can use in your serverless deployments right away.

In this talk I’ll show how we can use a combination of GraphQL SDL along with a new DSL (GraphQL Transform) created the Amplify team to build out a full stack cloud application directly from your GraphQL schema. Using this GraphQL DSL, we’ll walk through how to model a Database, authorization rules, relationships, and custom access patterns. We’ll look at how to rapidly prototype an example application, and view some demos including a voting app capable of handling over 100,000 operations per second.

CDK (Cloud development kit) enables developers to build cloud infrastructure using popular programming languages like Python, Typescript, or JavaScript. CDK is a next-level abstraction in infrastructure as code, allowing developers who were traditionally unfamiliar with cloud computing to build scalable APIs and web services using their existing skillset, and do so in only a few lines of code.
In this talk, you’ll learn how to use the TypeScript flavor of CDK to build a hyper-scalable real-time API with GraphQL, Lambda, DynamoDB, and AWS AppSync . At the end of the talk, I’ll live code an API from scratch in just a couple of minutes and then test out queries, mutations, and subscriptions.
By the end of the talk, you should have a good understanding of GraphQL, AppSync, and CDK and be ready to build an API in your next project using TypeScript and CDK.

There's a lot that goes into building a modern application: the frontend for users, data persistence, user authentication and authorization, business logic, cloud deployment, and much more. The AWS Amplify Admin UI allows users to create and deploy an offline-ready application backend in clicks and then extend it with code, lowering the complexity of fullstack development for frontend and mobile developers. We'll build a fullstack application backed multiple AWS services including Cognito, Appsync, and S3 in minutes.

GraphQL is being used in some really interesting ways in parts of the developer ecosystem that you may be surprised to hear about, including Ethereum as well as for building comprehensive graphs from various third party APIs. In this talk, I'll show how to use a similar approach to build a cloud programming interface into AWS with GraphQL and why using this approach makes sense coming from a front end developer looking to leverage their existing skillset.