Building a completely serverless restaurant rating app - 'Tomato Restaurant Rating' app using AWS services - Lambda, API Gateway, DynamoDB, Cognito and servereless framework.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Vorathep introduces himself as a remote software engineer and shares some personal details. He then provides an overview of serverless computing on AWS Lambda, describing how lambda functions are triggered by events and execute code without needing to manage servers. Vorathep explains that ClaudiaJS is a NodeJS tool that helps deploy lambda functions through the CLI and manage versions and permissions through code. Finally, he offers to connect further and shares his contact information.
AWS Community Day Bangkok 2019 - Building & Deploying AWS Lambda with Serverl...AWS User Group - Thailand
This document discusses deploying AWS Lambda functions using the Serverless Application Model (SAM). SAM allows defining serverless applications in a template file that specifies functions, events that trigger them, and permissions. It also covers packaging and deploying Lambda functions with SAM, managing credentials, continuous delivery options like CodePipeline, and safe deployment techniques like canary deployments.
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
AWS Community Day Bangkok 2019 - DevOps Cost Reduction using Jenkins & AWS Sp...AWS User Group - Thailand
This document discusses using Jenkins and AWS Spot Fleet to reduce DevOps costs. It recommends running Jenkins in a containerized, autoscaling architecture on AWS Spot Instances using the ec2-spot-jenkins plugin. This provides high availability, scalability, and cost optimization of up to 90% compared to on-demand instances while maintaining low maintenance. The document outlines how to set this up and provides an official AWS workshop lab to help with the implementation.
2017 September Golang Sydney meetup https://www.meetup.com/golang-syd/events/243263974/
Yun Zhi Lin wrote serverless-golang to bring about the perfect combination of strongly typed idiomatic Golang with the simplicity of Serverless Framework.
Serverless Golang currently forms the backbone of amaysim’s Serverless Realtime Event Driven Architecture, Anti-Corruption Layer and Single Customer View across 4 business verticals.
The library comes with easy to follow real world examples, and is entirely built and deployed immutably via Docker.
This document discusses how Kubernetes can be used as a platform for serverless applications. It introduces the Kubeless, Funktion, and Fission projects, which allow running serverless functions on Kubernetes. Kubeless extends the Kubernetes API to deploy and manage functions as third-party resources. Funktion uses Kubernetes primitives like deployments and config maps to run functions as containers with a flow-based programming model. Fission launches function containers in response to events using a pool manager. Kubernetes is a good fit for serverless as it provides infrastructure without needing to rebuild components.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Vorathep introduces himself as a remote software engineer and shares some personal details. He then provides an overview of serverless computing on AWS Lambda, describing how lambda functions are triggered by events and execute code without needing to manage servers. Vorathep explains that ClaudiaJS is a NodeJS tool that helps deploy lambda functions through the CLI and manage versions and permissions through code. Finally, he offers to connect further and shares his contact information.
AWS Community Day Bangkok 2019 - Building & Deploying AWS Lambda with Serverl...AWS User Group - Thailand
This document discusses deploying AWS Lambda functions using the Serverless Application Model (SAM). SAM allows defining serverless applications in a template file that specifies functions, events that trigger them, and permissions. It also covers packaging and deploying Lambda functions with SAM, managing credentials, continuous delivery options like CodePipeline, and safe deployment techniques like canary deployments.
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
AWS Community Day Bangkok 2019 - DevOps Cost Reduction using Jenkins & AWS Sp...AWS User Group - Thailand
This document discusses using Jenkins and AWS Spot Fleet to reduce DevOps costs. It recommends running Jenkins in a containerized, autoscaling architecture on AWS Spot Instances using the ec2-spot-jenkins plugin. This provides high availability, scalability, and cost optimization of up to 90% compared to on-demand instances while maintaining low maintenance. The document outlines how to set this up and provides an official AWS workshop lab to help with the implementation.
2017 September Golang Sydney meetup https://www.meetup.com/golang-syd/events/243263974/
Yun Zhi Lin wrote serverless-golang to bring about the perfect combination of strongly typed idiomatic Golang with the simplicity of Serverless Framework.
Serverless Golang currently forms the backbone of amaysim’s Serverless Realtime Event Driven Architecture, Anti-Corruption Layer and Single Customer View across 4 business verticals.
The library comes with easy to follow real world examples, and is entirely built and deployed immutably via Docker.
This document discusses how Kubernetes can be used as a platform for serverless applications. It introduces the Kubeless, Funktion, and Fission projects, which allow running serverless functions on Kubernetes. Kubeless extends the Kubernetes API to deploy and manage functions as third-party resources. Funktion uses Kubernetes primitives like deployments and config maps to run functions as containers with a flow-based programming model. Fission launches function containers in response to events using a pool manager. Kubernetes is a good fit for serverless as it provides infrastructure without needing to rebuild components.
Kubeless is a Kubernetes-native serverless solution that allows deploying and managing serverless functions on Kubernetes. It uses custom resource definitions and a controller to create deployments, services, and ingress for functions. Kubeless supports instrumented runtimes with Prometheus client and provides a UI. Serverless Framework now supports deploying functions to Kubeless, allowing developers to write functions once and deploy them to multiple serverless platforms including AWS Lambda, Azure Functions, Google Cloud Functions, and Kubeless.
AWS Community Day Bangkok 2019 - How AWS Parallel Cluster can accelerate high...AWS User Group - Thailand
(1) AWS Parallel Cluster can accelerate high performance scientific computing by providing flexible compute clusters in AWS that are optimized for HPC workloads.
(2) Case studies show how computational chemistry and deep learning for drug discovery benefit from HPC resources for tasks like molecular simulations and property predictions.
(3) AWS offers compute instances, storage, networking and other services for building HPC clusters, along with tools like Parallel Cluster that simplify setup and management of these clusters for scientific applications.
Serverless Orchestration with Azure Durable FunctionsCallon Campbell
Durable Functions is an open source framework for Azure Functions. It allows you to write long-running orchestration as a single function while maintaining local state. All in code with no JSON schemas or UI designers.
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
This document discusses bridging the gap between serverless and containers by leveraging AWS Lambda container image support. It begins by introducing the speaker and their experience with serverless technologies. The rest of the document is organized into sections that discuss why serverless and containers make sense together, demonstrate how to implement and migrate to Lambda container images using examples, highlight some pitfalls to watch out for, and argue that containers can be improved with a serverless-first approach.
This document discusses strategies for testing serverless applications both locally and in the cloud. It outlines pros and cons of each approach and recommends a hybrid strategy of testing certain services locally like API Gateway and Lambda functions for easy debugging and short deploy times while testing other services like DynamoDB and S3 in the cloud for a production-like environment. It also provides tips for effective testing such as using distributed tracing, load testing, and testing cold starts and function memory allocation.
Slide deck from the session on Serverless containers at Global Azure Bootcamp Virtual Singapore event. The session covered Serverless offerings on Azure with Logic Apps and Azure Functions. Deployed Azure Functions on containers with Azure Kubernetes Service (AKS) cluster. Scaled containers in serverless environment using Virtual Node addon for AKS and Azure Container Instances (ACI)
The document discusses serverless architecture patterns. It outlines some core principles of serverless including using functions as the unit of deployment, automatic scaling per request, keeping functions stateless, and designing functions to do a single task. The document then lists several key patterns for serverless applications on AWS and Azure, including for web applications, batch processing, stream processing, event-driven automation, and more. Links are provided to slideshows with further information on these patterns.
Delivering Cloud-Native Data Pipelines with Kafka Connect on Kubernetes | Vik...HostedbyConfluent
Getting data between systems, particularly at scale, is a common challenge faced by data engineers. Pipelines need to be reliable, flexible, and scalable, and without requiring us to write the same boilerplate code each time.
Kafka Connect is a framework that provides scalable & fault-tolerant integration between Apache Kafka and other systems. It can be deployed on containers making it easy to scale for increased capacity, throughput, and resilience.
We will give a short intro to Kafka Connect and container technologies before proceeding to a deep dive into practical applications.
Attendees will learn about:
* Real-world Kafka Connect pipelines.
* How to build custom connector container images
* Configuration, and orchestration of Kafka Connect pipelines with Kubernetes using GitOps.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
The document discusses serverless computing and OpenFaaS, an open source serverless framework. It introduces serverless functions and how OpenFaaS allows developers to easily write and deploy stateless functions. The document provides examples of how functions can be chained together and invoked asynchronously. It also shares several case studies of organizations using OpenFaaS and announces the launch of OpenFaaS Cloud.
We went from physical servers to the cloud and from running VMs in the cloud to running services in the cloud. And although the infrastructure got better and better, we still had to manage everything on our own. This is not the case anymore. Nowadays, we have the “serverless” services.
There are many implementations to the idea. The most famous are the AWS Lambda and the Azure Functions. They provide a robust infrastructure for running your code in a scalable manner in a cloud environment. And since the solution is scalable, it is, by definition, a stateless solution. Does this mean that serverless is not a good solution? Is it just a cool gimmick?
In this session, you are going to learn how we can manage state in a stateless, serverless environment on Azure, by utilizing Azure Durable Functions and how we can use the eco-system to build entire systems, completely serverless.
Building a Python Serverless Applications with AWS Chalice - AWS Online Tech...Amazon Web Services
AWS Lambda makes it easy for you to run your code in the cloud, without managing servers. In this session, we will show you how to build a development pipeline for a serverless application using AWS Chalice and AWS Lambda. Using Chalice, we will show you how to author a Restful service, and deploying the application to multiple stages using AWS CodePipline, AWS CodeBuild and the Serverless Application Model. We will teach you how to test your code and troubleshoot issues. By the end of the session, you will have enough information to build a solid continuous delivery pipeline for your Python serverless application.
Heat is OpenStack's orchestration service that automates deployment of cloud applications and infrastructure. It uses templates to deploy resources and supports capabilities like auto scaling. Auto scaling uses Ceilometer alarms and Heat's autoscaling group resource to dynamically scale the number of instances up or down based on performance conditions. When an alarm is triggered, a signal is sent to Heat's engine which executes scaling policies defined in the autoscaling group resource.
.NET Serverless Development on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get a recap of existing support of Lambda .Net Core 2.0
- Learn about the newest features in .NET Core 2.0 support of Lambda
- Learn how to build a serverless application in .Net Core 2.0
The Alfresco Development Framework (ADF) provides over 100 reusable Angular components and services, development tools to streamline building applications, and is based on standard technologies like Angular and Material Design; it has four pillars including the JavaScript library, Angular components, app generator, and example apps; and the framework core utilizes technologies like JavaScript, HTML5, CSS, TypeScript, Angular, and development tools like Node, NPM, and GitHub.
Alfresco Process Services (APS) and the Internet of ThingsNathan McMinn
The document discusses using Alfresco Process Services (APS) to manage processes triggered by Internet of Things (IoT) devices. APS can provide capabilities like device provisioning, decoupling process logic from event handling, and analytics on process activities triggered by IoT events. The document presents an architecture where IoT devices publish messages via MQTT and AWS IoT, which can trigger Lambda functions to start APS processes. APS can then update IoT device shadows stored in AWS IoT to communicate back to devices. This allows processes to manage state changes even if devices disconnect. Tools like Cloud9 and AWS IoT MQTT Client help develop and test IoT/APS integrations.
Application Lifecycle Management in a Serverless World | AWS Public Sector Su...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including ways to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality. We will also demonstrate how you can implement a Continuous Integration and Continuous Delivery pipeline for a serverless application within minutes using AWS CodeStar. Learn More: https://aws.amazon.com/government-education/
AWS August Webinar Series - Building Serverless Backends with AWS Lambda and ...Amazon Web Services
AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This webinar will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to DynamoDB.
Learning Objectives:
Understand key AWS Lambda and Amazon API Gateway features
Learn how to set up a serverless backend using Amazon API Gateway and AWS Lambda
Explore sample use cases, best practices and tips on using AWS Lambda with Amazon API Gateway
Kubeless is a Kubernetes-native serverless solution that allows deploying and managing serverless functions on Kubernetes. It uses custom resource definitions and a controller to create deployments, services, and ingress for functions. Kubeless supports instrumented runtimes with Prometheus client and provides a UI. Serverless Framework now supports deploying functions to Kubeless, allowing developers to write functions once and deploy them to multiple serverless platforms including AWS Lambda, Azure Functions, Google Cloud Functions, and Kubeless.
AWS Community Day Bangkok 2019 - How AWS Parallel Cluster can accelerate high...AWS User Group - Thailand
(1) AWS Parallel Cluster can accelerate high performance scientific computing by providing flexible compute clusters in AWS that are optimized for HPC workloads.
(2) Case studies show how computational chemistry and deep learning for drug discovery benefit from HPC resources for tasks like molecular simulations and property predictions.
(3) AWS offers compute instances, storage, networking and other services for building HPC clusters, along with tools like Parallel Cluster that simplify setup and management of these clusters for scientific applications.
Serverless Orchestration with Azure Durable FunctionsCallon Campbell
Durable Functions is an open source framework for Azure Functions. It allows you to write long-running orchestration as a single function while maintaining local state. All in code with no JSON schemas or UI designers.
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
This document discusses bridging the gap between serverless and containers by leveraging AWS Lambda container image support. It begins by introducing the speaker and their experience with serverless technologies. The rest of the document is organized into sections that discuss why serverless and containers make sense together, demonstrate how to implement and migrate to Lambda container images using examples, highlight some pitfalls to watch out for, and argue that containers can be improved with a serverless-first approach.
This document discusses strategies for testing serverless applications both locally and in the cloud. It outlines pros and cons of each approach and recommends a hybrid strategy of testing certain services locally like API Gateway and Lambda functions for easy debugging and short deploy times while testing other services like DynamoDB and S3 in the cloud for a production-like environment. It also provides tips for effective testing such as using distributed tracing, load testing, and testing cold starts and function memory allocation.
Slide deck from the session on Serverless containers at Global Azure Bootcamp Virtual Singapore event. The session covered Serverless offerings on Azure with Logic Apps and Azure Functions. Deployed Azure Functions on containers with Azure Kubernetes Service (AKS) cluster. Scaled containers in serverless environment using Virtual Node addon for AKS and Azure Container Instances (ACI)
The document discusses serverless architecture patterns. It outlines some core principles of serverless including using functions as the unit of deployment, automatic scaling per request, keeping functions stateless, and designing functions to do a single task. The document then lists several key patterns for serverless applications on AWS and Azure, including for web applications, batch processing, stream processing, event-driven automation, and more. Links are provided to slideshows with further information on these patterns.
Delivering Cloud-Native Data Pipelines with Kafka Connect on Kubernetes | Vik...HostedbyConfluent
Getting data between systems, particularly at scale, is a common challenge faced by data engineers. Pipelines need to be reliable, flexible, and scalable, and without requiring us to write the same boilerplate code each time.
Kafka Connect is a framework that provides scalable & fault-tolerant integration between Apache Kafka and other systems. It can be deployed on containers making it easy to scale for increased capacity, throughput, and resilience.
We will give a short intro to Kafka Connect and container technologies before proceeding to a deep dive into practical applications.
Attendees will learn about:
* Real-world Kafka Connect pipelines.
* How to build custom connector container images
* Configuration, and orchestration of Kafka Connect pipelines with Kubernetes using GitOps.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
The document discusses serverless computing and OpenFaaS, an open source serverless framework. It introduces serverless functions and how OpenFaaS allows developers to easily write and deploy stateless functions. The document provides examples of how functions can be chained together and invoked asynchronously. It also shares several case studies of organizations using OpenFaaS and announces the launch of OpenFaaS Cloud.
We went from physical servers to the cloud and from running VMs in the cloud to running services in the cloud. And although the infrastructure got better and better, we still had to manage everything on our own. This is not the case anymore. Nowadays, we have the “serverless” services.
There are many implementations to the idea. The most famous are the AWS Lambda and the Azure Functions. They provide a robust infrastructure for running your code in a scalable manner in a cloud environment. And since the solution is scalable, it is, by definition, a stateless solution. Does this mean that serverless is not a good solution? Is it just a cool gimmick?
In this session, you are going to learn how we can manage state in a stateless, serverless environment on Azure, by utilizing Azure Durable Functions and how we can use the eco-system to build entire systems, completely serverless.
Building a Python Serverless Applications with AWS Chalice - AWS Online Tech...Amazon Web Services
AWS Lambda makes it easy for you to run your code in the cloud, without managing servers. In this session, we will show you how to build a development pipeline for a serverless application using AWS Chalice and AWS Lambda. Using Chalice, we will show you how to author a Restful service, and deploying the application to multiple stages using AWS CodePipline, AWS CodeBuild and the Serverless Application Model. We will teach you how to test your code and troubleshoot issues. By the end of the session, you will have enough information to build a solid continuous delivery pipeline for your Python serverless application.
Heat is OpenStack's orchestration service that automates deployment of cloud applications and infrastructure. It uses templates to deploy resources and supports capabilities like auto scaling. Auto scaling uses Ceilometer alarms and Heat's autoscaling group resource to dynamically scale the number of instances up or down based on performance conditions. When an alarm is triggered, a signal is sent to Heat's engine which executes scaling policies defined in the autoscaling group resource.
.NET Serverless Development on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get a recap of existing support of Lambda .Net Core 2.0
- Learn about the newest features in .NET Core 2.0 support of Lambda
- Learn how to build a serverless application in .Net Core 2.0
The Alfresco Development Framework (ADF) provides over 100 reusable Angular components and services, development tools to streamline building applications, and is based on standard technologies like Angular and Material Design; it has four pillars including the JavaScript library, Angular components, app generator, and example apps; and the framework core utilizes technologies like JavaScript, HTML5, CSS, TypeScript, Angular, and development tools like Node, NPM, and GitHub.
Alfresco Process Services (APS) and the Internet of ThingsNathan McMinn
The document discusses using Alfresco Process Services (APS) to manage processes triggered by Internet of Things (IoT) devices. APS can provide capabilities like device provisioning, decoupling process logic from event handling, and analytics on process activities triggered by IoT events. The document presents an architecture where IoT devices publish messages via MQTT and AWS IoT, which can trigger Lambda functions to start APS processes. APS can then update IoT device shadows stored in AWS IoT to communicate back to devices. This allows processes to manage state changes even if devices disconnect. Tools like Cloud9 and AWS IoT MQTT Client help develop and test IoT/APS integrations.
Application Lifecycle Management in a Serverless World | AWS Public Sector Su...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including ways to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality. We will also demonstrate how you can implement a Continuous Integration and Continuous Delivery pipeline for a serverless application within minutes using AWS CodeStar. Learn More: https://aws.amazon.com/government-education/
AWS August Webinar Series - Building Serverless Backends with AWS Lambda and ...Amazon Web Services
AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This webinar will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to DynamoDB.
Learning Objectives:
Understand key AWS Lambda and Amazon API Gateway features
Learn how to set up a serverless backend using Amazon API Gateway and AWS Lambda
Explore sample use cases, best practices and tips on using AWS Lambda with Amazon API Gateway
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Serverless applications make it easy for you to run your code without managing servers. In this session, we show how to build a full development pipeline for a serverless application using AWS Chalice. We will cover using Chalice to author a Restful service, and deploying the application to multiple stages using CodePipline, CodeBuild and the Serverless Application Model. We will teach you how to test your code and troubleshoot issues. By the end of the session, you will have enough information to build a solid continuous delivery pipeline for your production Python serverless application.
Speaker: James Saryerwinnie, Senior Software Dev Engineer, Amazon Web Services
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
This document provides an overview of serverless applications and how to build one. It discusses what serverless means, common use cases, how to bundle and deploy code, continuous integration and delivery, versioning, monitoring, and more. Specific AWS services for building serverless applications are also covered, including AWS Lambda, API Gateway, DynamoDB, S3, CloudFormation, CodeBuild, CodePipeline, X-Ray and CloudWatch.
Building Serverless Backends with AWS Lambda and Amazon API GatewayAmazon Web Services
AWS Lambda is a compute service that runs your code without provisioning or managing servers. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This session will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to Amazon DynamoDB. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments.
AWS DevDay San Francisco, June 21, 2016.
Presenters: Vyom Nagrani, Ceci Deng
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this session, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline, a continuous delivery service based on Amazon’s internal release automation tooling. We will discuss how to use versioning, which enables you to better manage the different variations of your Lambda functions and API Gateway methods in your development workflow (e.g., development, staging, and production). We will walk through how to automate the entire release process of your application from development, to staging, and finally to production; performing automated integration tests at each stage.
Experiences in Architecting & Implementing Platforms using Serverless.pdfSrushith Repakula
This document provides an overview of Srushith Repakula's experiences architecting and implementing serverless platforms. It discusses various serverless services like AWS Lambda, API Gateway, DynamoDB, SNS, SQS, Step Functions and EventBridge. It also summarizes design patterns for building event-driven applications on serverless including hub and spoke, static event flow and filtered event flow models. Finally, it outlines best practices for serverless development and potential challenges.
Serverless for Developers: Event-Driven & Distributed Apps - Pop-up Loft TLV ...Amazon Web Services
Serverless architectures simplify operations and maintenance of production applications, abstracting from the underlining infrastructure and OS. But what about development? In this session you will see some of the key points that can empower a serverless developer: from event-driven design, to simplification (less is more, especially for a small team), extending the functionalities of the platform (per prefix stats for S3, geohash for DynamoDB, API authentication, and so on), integrating new products.
This document discusses serverless application development using AWS SAM (Serverless Application Model). It covers building and deploying serverless applications, using CloudFormation templates and SAM templates to define application infrastructure. It also discusses continuous integration and delivery practices for serverless apps using AWS CodeBuild and CodePipeline for building, testing, and deploying application code. Finally, it discusses techniques for managing multiple stages and versions of serverless applications.
This document summarizes a presentation about new features of AWS Lambda and serverless applications. It discusses capabilities of serverless platforms, CI/CD pipelines for serverless apps using CodePipeline and CodeBuild, environment variables for Lambda functions, and the AWS Serverless Application Model (SAM) for describing serverless apps. It also covers new Lambda features like dead letter queues, .NET Core support, and X-Ray for tracing serverless apps. Demos show packaging apps with SAM and serverless CI/CD pipelines.
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
This document discusses new features of AWS Lambda including:
- AWS Serverless Application Model (SAM) which provides a common language for describing serverless applications across the ecosystem.
- Serverless continuous integration/continuous delivery (CI/CD) pipelines using services like AWS CodePipeline and AWS CodeBuild to build and deploy Lambda applications.
- Dead letter queues which allow unprocessed events to be sent to an SQS queue or SNS topic to preserve events if the function code has an issue.
- Environment variables which can now be used within Lambda functions.
- Support for C# and .NET Core runtimes for Lambda functions.
- AWS Step Functions which allows orchestrating multiple Lambda
SMC305 Building CI/CD Pipelines for Serverless ApplicationsAmazon Web Services
Continuous Integration and Continuous Delivery help developers rapidly and reliably release updates for their applications in a standardized and safe manner. The faster you can release new features and fix bugs, the quicker you can innovate and respond to customer needs. Serverless computing has changed the game for application development, including how to properly perform CI/CD for your application. AWS provides developer tools that help you automate the end-to-end lifecycle of your serverless application. In this session, we’ll discuss how to build multi-stage pipelines that let you build and test your application in an automated way using AWS CodePipeline and AWS CodeBuild. We’ll also cover the built-in capabilities of AWS Lambda and Amazon API Gateway that allow you to create multiple versions, stages, and environments for your serverless applications.
This document provides an overview of serverless development using AWS Lambda. It discusses common use cases for serverless applications including web apps, data processing, chatbots, backends, and IT automation. It also covers topics like pricing, resource allocation, available event sources and services, and development tools. The document contains code samples and screenshots related to building serverless applications on AWS Lambda.
Similar to Serverless Workshop - Tomato Restaurant Rating App (20)
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations.
We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures.
Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
Lessons Learned from Building a Serverless Notifications System.pdfSrushith Repakula
Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients.
This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions.
The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.
With autoscaling, high tolerance, high availability, and a pay-as-you-go billing model out of the box, Serverless is proving to be a complete game changer. With developers only having to focus on the business logic and not worry about scale, infrastructure planning, maintenance, security patching, and many more, it has become the gateway to getting started with Cloud the new norm.
Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications by handling events from applications and AWS services. AWS Step Functions allows combining Lambda functions and services into workflows with steps. It provides orchestration, parallel processing, and retry capabilities. AWS AppSync is a managed GraphQL service that can handle high volumes of requests and integrates with databases. It supports subscriptions using websockets.
In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
Become Thanos of the LambdaLand: Wield all the Infinity StonesSrushith Repakula
This document discusses how to wield the Infinity Stones of serverless computing on AWS Lambda to optimize performance and costs. It provides tips for reducing code size and duplication using Lambda layers to wield the Space Stone. It recommends building "nano-services" instead of "monoliths" and using code orchestration like Step Functions to wield the Mind Stone. Metrics are given on how memory size and amount of code affects cold start times and costs to wield the Time and Power Stones. Design principles are outlined for concurrency, failures, and cloud-native design to wield the Soul and Reality Stones.
The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and discussing how serverless architectures can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some of the benefits of serverless platforms like AWS Lambda in allowing developers to run code without managing servers and only paying for the compute time used.
Lambda land: Running a serverless ticketing platform for less than $2 a monthSrushith Repakula
The presentation covers the various aspects involved in a ticketing platform, architectural design decisions made, discussing the pros and cons of the decisions while considering various factors like cost, scalability, performance and security etc.
An introductory presentation on Chatbots with Serverless (AWS Lambda). It covers AWS Lez, its terminologies and AWS Lambda in detail. It also showcases on how to connect your Lex bot to Facebook Messenger.
An introductory presentation to 'Serverless Technology' presented at India Serverless Summit, Bangalore. It covers three use-cases: Chatbot (BookBot), Real-time processing (TwwetBot) and a Web Application (Quiz).
This document provides an overview of AWS Lambda and serverless computing. It discusses key Lambda features like automatic scaling, integrated security model, and pay per use model. It demonstrates how to develop, deploy and test Lambda functions using the AWS console, SDKs and CLI. The document also covers Lambda execution environment, logging, integration with other AWS services, common use cases and provides a demo of building a Lambda function to auto retweet from Twitter.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
2. Srushith Repakula
Co-Founder, Head of Engineering at KonfHub
Serverless Consultant
Co-organiser of one of the largest Serverless
meetup group - Serverless Architecture Meetup
Group, Bangalore
Mentor at GirlScript Bangalore
@SrushithR
6. The function lifecycle
Bootstrap the
runtime
Start your
code
Partial
cold start
Download
your code
Start new
Execution
environment
Full cold
start
AWS optimization
Warm start
Your optimization
Content Source: ReInvent talk - https://www.youtube.com/watch?v=5rMiq-jw1Ig
9. 01
02
03
04
Parts of lambda
function code
Dependencies, configuration
information
(Impact on cold start!)
Your handler code
Common helper
functions
Business logic
subfunctions
10. Handler() function
Function to be
executed upon
invocation
Anatomy of Lambda
function
Event object
Data sent during
Lambda function
invocation
Context object
Methods available to
interact with runtime
information (request
ID,
log group, more)
14. ● If you have steady, predictable traffic, choose reserved capacity. Since you know you need a
certain amount of capacity at all times, you can save from reduced rates.
● If you have variable, predictable traffic, choose provisioned capacity. Imagine you have significant
traffic during the day but no traffic overnight. Reserved capacity would be wasted overnight, but
your patterns are predictable enough that you could scale up your provisioned capacity when you
need it.
● If you have variable, unpredictable traffic, choose on-demand. If your application gets random
spikes, it can be hard to provision capacity to match demand. Use the on-demand feature so you
don't throttle your users.
Understanding DynamoDB pricing