AWS Lambda and Serverless framework: lessons learned while building a serverless company
5 likes2,076 views
The document discusses lessons learned from building a serverless company. It introduces Planet 9 Energy and their use of AWS Lambda and the Serverless framework. Key topics covered include security, quality assurance, developer experience, costs, and lessons learned. Some challenges discussed are debugging, API Gateway custom domains, and Lambda limitations. The document emphasizes that serverless architectures provide infinite scalability at low cost but also have some limitations that require management.
1 of 82
Downloaded 56 times
Ad
Recommended
AWS Lambda from the Trenches
AWS Lambda from the TrenchesYan Cui The document discusses best practices and insights for deploying AWS Lambda in production, emphasizing the importance of testing, monitoring, and configuration management. It highlights strategies for cost efficiency, error handling, and serverless architecture design, while also stressing the need for centralizing logs and managing serverless functions effectively. Key aspects include leveraging end-to-end testing, maintaining clear documentation, and understanding the limits and capabilities of AWS Lambda services.
Microservices with AWS Lambda and the Serverless Framework
Microservices with AWS Lambda and the Serverless FrameworkRowell Belen This document provides an introduction to serverless computing using AWS Lambda and the Serverless Framework. It defines serverless computing as a cloud computing model that allows building and running applications without managing servers. Key differences between Platform as a Service (PaaS) and serverless are discussed, with scaling being a major distinction. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platforms from Microsoft, Google, and IBM are also mentioned. The Serverless Framework is defined as a toolkit for developing, deploying and managing serverless applications on AWS. Examples are provided of serverless application code and configuration using the Serverless Framework. Considerations for cloud-scale development and operations with serverless architectures are also discussed.
AWS Lambda
AWS LambdaScott Leberknight AWS Lambda allows users to run code without managing servers and charges only for execution time, offering automatic scalability and zero administration. Functions can be invoked synchronously or asynchronously from various sources, including the AWS console, API Gateway, and event triggers from AWS services like S3 and Kinesis. It includes features for versioning, deployment, permissions management, and monitoring via AWS CloudWatch.
AWS Lambda
AWS LambdaDanilo Poccia This document summarizes an AWS User Group Italy meeting presentation about AWS Lambda.
AWS Lambda allows writing code to automatically run in response to events, allowing building applications from small functions that are triggered by changes to data in AWS services. It provides an easy way to run code without having to manage infrastructure. Lambda functions can be triggered by events in services like S3, DynamoDB, and Kinesis. With Lambda, the focus is on writing business logic rather than managing servers. Lambda automatically scales as needed to handle event loads, and customers pay only for the compute time used rather than having to pay for unused capacity. A preview of Lambda is open for people to try it out with support for S3, Kinesis and Dynam
Serverless computing
Serverless computingDmitriy Ivanov This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
AWS Lambda from the trenches (Serverless London)
AWS Lambda from the trenches (Serverless London)Yan Cui This document discusses best practices and insights for deploying and managing AWS Lambda functions, emphasizing the importance of minimizing downtime, costs, and operational complexity in serverless architectures. It highlights testing strategies, including unit, integration, and acceptance testing, and the significance of continuous integration and delivery to enhance deployment efficiency. Additionally, it covers monitoring, alerting, and configuration management to ensure robust and maintainable serverless applications.
Lambda and serverless - DevOps North East Jan 2017
Lambda and serverless - DevOps North East Jan 2017Mike Shutlar The document discusses AWS Lambda, a serverless compute service that eliminates the need for server management and scales automatically, charging only for actual usage. It outlines features such as supported runtimes, function configurations, and the execution process, while also providing an example of a serverless application using AWS resources like S3, DynamoDB, and API Gateway. Additionally, it contrasts the benefits and drawbacks of serverless architectures compared to traditional server systems.
Serverless computing with AWS Lambda
Serverless computing with AWS Lambda Apigee | Google Cloud The document discusses the evolution of cloud computing towards serverless architecture with a focus on AWS Lambda, a serverless and event-driven compute service. It outlines its capabilities, benefits, and various use cases for real-time data processing, highlighting workflows using services such as Amazon S3, Kinesis, and DynamoDB. Additionally, it provides tips for effectively utilizing AWS Lambda, including automation and deployment strategies.
Tensorflow in production with AWS Lambda
Tensorflow in production with AWS LambdaFabian Dubois The document explores the integration of TensorFlow with AWS Lambda for deploying machine learning models in production, emphasizing scalability, resilience, and ease of maintenance. It discusses various deployment strategies, such as event-driven and batch processing, and provides practical steps for setting up a TensorFlow model environment on AWS. Key considerations include the absence of GPU support, model loading times, and infrastructure management cost reduction through serverless architecture.
Building a Machine Learning App with AWS Lambda
Building a Machine Learning App with AWS LambdaSri Ambati The document provides a detailed overview of building a machine learning application using AWS Lambda, highlighting its key features, such as automatic management of compute resources and server maintenance. It outlines the major steps involved, including training a model, exporting it, and deploying it as a Lambda function for domain name classification between legitimate and malicious domains. Additionally, it discusses performance metrics, common errors, pricing, and includes resources for further learning.
Universal JS Web Applications with React - Luciano Mammino - Codemotion Rome ...
Universal JS Web Applications with React - Luciano Mammino - Codemotion Rome ...Luciano Mammino This document outlines a presentation about building universal JavaScript web applications with React. It discusses:
1. The term "universal" in relation to JavaScript and some advantages it provides like maintainability and faster load times.
2. Building a frontend single page application with React and then making it universal by rendering on the server as well with React and Express.
3. Key aspects of universal apps like module sharing, routing, data retrieval and state management that work across client and server.
4. An example of building a universal JavaScript app with React called "Judo Heroes" that shows athlete data and profiles, using components, routing, data and building tools like Babel and Webpack.
Serverless Framework Intro
Serverless Framework IntroNikolaus Graf The document discusses the Serverless Framework, which is a build tool that makes it easy to setup and invoke Lambda functions on AWS. It allows developers to manage multiple Lambda functions across different regions and stages, and share code between functions. The Serverless Framework supports Node.js, Python, Java/Scala and other runtimes. Functions are defined in a serverless.yml file along with triggers like HTTP events, S3 uploads, schedules and more. The framework handles deployments to AWS and other cloud providers.
AWS Lambda - A quick introduction #advancedaws
AWS Lambda - A quick introduction #advancedawsChris Richardson This document discusses AWS Lambda, a platform as a service for event-driven microservices. It provides an introduction and overview of AWS Lambda and how it can be used to process events from services like S3, Kinesis, and DynamoDB using Node.js functions. Examples are given of how AWS Lambda could be used to build a serverless home security system that processes images uploaded to S3.
The Rise of Serverless Architectures
The Rise of Serverless ArchitecturesBenny Bauer This document discusses the rise of serverless architectures. It begins by defining serverless computing and functions as a service (FaaS), where code is deployed and automatically scales in response to events or triggers, with the vendor handling provisioning and management of servers. Examples of uses cases for FaaS include APIs, bots, file processing, and more. While advantages include scalability and paying only for usage, limitations include statelessness and cold starts. The document outlines the serverless ecosystem and frameworks and how serverless is changing business models, architectures, and operations practices in a more distributed, event-driven way.
Microservice Architecture on AWS using AWS Lambda and Docker Containers
Microservice Architecture on AWS using AWS Lambda and Docker ContainersDanilo Poccia This document summarizes microservice architecture on AWS using AWS Lambda and Docker containers. It discusses why organizations adopt microservices and how to design smaller loosely coupled services. It then covers how to use AWS services like EC2 Container Service, Lambda, ECS, and others to build and deploy microservices. Specific topics covered include distributed systems, security, testing, monitoring, discovery, deployment pipelines and more. Examples of Netflix and Hailo architectures on AWS are also mentioned.
Node.js vs Play Framework
Node.js vs Play FrameworkYevgeniy Brikman The document compares Node.js and the Play Framework, highlighting their features, performance, and use cases. Node.js is a single-threaded, non-blocking JavaScript runtime, suitable for small to medium projects, while the Play Framework is a full-stack, multithreaded framework ideal for larger projects. The document also includes code snippets, testing strategies, and deployment options for both technologies.
Bringing Cloud Native Innovation to the Enterprise
Bringing Cloud Native Innovation to the EnterpriseNicolas (Nick) Barcet The document discusses the role of OpenStack in driving digital transformation and cloud-native innovation within enterprises. It provides insights into customer usage of the Red Hat OpenStack platform and highlights the importance of simplified installation and community leadership for users. The collaboration between Ericsson and Red Hat aims to foster innovation and support customers in adopting next-generation solutions.
Serverless Architecture - introduction + AWS demo
Serverless Architecture - introduction + AWS demoJan van Zoggel The document discusses serverless architecture, highlighting the differences between backend-as-a-service (BaaS) and function-as-a-service (FaaS), along with the evolution of runtimes. It reviews platforms such as AWS Lambda, Google Functions, and Azure Functions, outlining their features, triggers, and supported technologies. Furthermore, it addresses challenges like lack of state and execution time limits, while also noting advantages such as scalability and reduced complexity.
Go Serverless with AWS Lambda and Apex
Go Serverless with AWS Lambda and ApexEdoardo Paolo Scalafiotti The document presents a discussion on serverless architecture, particularly focusing on Function as a Service (FaaS), which eliminates the need for managing servers. It highlights the benefits of serverless systems, including cost reduction, prototyping, and handling variable traffic efficiently. Additionally, it introduces Apex, a tool for building and deploying AWS Lambda functions with Go support.
OpenWhisk Introduction
OpenWhisk IntroductionIoana Baldini - IBM Bluemix OpenWhisk is a cloud platform that executes code in response to events. It provides a serverless deployment and operations model that hides infrastructural and operational complexity, allowing developers to focus on coding.
- OpenWhisk supports multiple programming languages and custom logic via Docker containers. It provides an open ecosystem to avoid vendor lock-in and accelerate development.
- The presenter demonstrated how OpenWhisk works, its programming model of triggers, actions, and rules, and its architecture. A live demo showed executing a Slack slash command that triggered an OpenWhisk action.
A quick introduction to AWS Lambda
A quick introduction to AWS Lambdaogeisser This document provides an introduction and overview of AWS Lambda. It discusses how Lambda allows executing code without provisioning or managing servers by uploading code and configuring triggers. Code can be written in Node.js, Java, or Python and executed in response to events from AWS services or API calls. Metrics and logs of Lambda function invocations are automatically sent to CloudWatch for monitoring. An example of using Lambda for thumbnail image creation in response to S3 uploads is also provided.
Serverless archtiectures
Serverless archtiecturesIegor Fadieiev This document discusses serverless architectures and provides examples of building serverless applications. It introduces serverless computing and explains why developers want to adopt serverless and DevOps approaches. Examples are given for static and dynamic websites built with serverless technologies like AWS Lambda, API Gateway, and S3 storage. The document also provides a case study of building a serverless application with services like Cognito, DynamoDB, and Lambda. Alternatives to AWS serverless options are mentioned along with takeaways about paying only for resources used.
Angular (v2 and up) - Morning to understand - Linagora
Angular (v2 and up) - Morning to understand - LinagoraLINAGORA The document discusses recent developments in Angular, focusing on new features, performance enhancements, and the advantages of using TypeScript for JavaScript development. It also highlights Angular's ecosystem, including tools like CLI, Material, and Protractor, emphasizing the platform's capabilities for creating responsive, maintainable applications. Additionally, it covers state management using RxJS and Redux for efficient data flow and app architecture.
Serverless microservices in the wild
Serverless microservices in the wildRotem Tamir The document discusses the implementation and challenges of serverless microservices at Atomdata, highlighting the benefits of AWS Lambda and API Gateway for managing resources without server maintenance. It addresses problems such as state persistence, monitoring, and debugging in a serverless environment, and introduces a logs pipeline to improve transaction-level insights using CloudWatch and Elasticsearch. Several resources and GitHub projects are provided for better serverless API logging and management.
Python in the Serverless Era (PyCon IL 2016)
Python in the Serverless Era (PyCon IL 2016)Benny Bauer This document discusses serverless architecture and the Python ecosystem for serverless applications. It introduces serverless computing and its benefits like automatic scaling and pay per use billing. Popular serverless platforms like AWS Lambda are examined along with their limitations. Frameworks for Python serverless development are presented, including the Serverless Framework for deploying AWS Lambda functions and Zappa for deploying WSGI applications on Lambda. The talk concludes that serverless architecture is the next evolution of cloud computing and an opportunity for Python developers.
서버리스(Serverless) 프레임웍 비교 - ClaudiaJS와 Chalice를 중심으로 (윤석찬)
서버리스(Serverless) 프레임웍 비교 - ClaudiaJS와 Chalice를 중심으로 (윤석찬)AWSKRUG - AWS한국사용자모임 The document compares serverless frameworks ClaudiaJS and Chalice. ClaudiaJS is described as a simple and robust deployment utility for serverless applications on AWS, while Chalice is a Python serverless microframework for AWS. Key differences are that ClaudiaJS supports Node.js and Python runtimes, while Chalice is exclusively for Python. ClaudiaJS enables some unit testing for Lambda functions, while Chalice does not support unit testing. Both aim to simplify deploying and managing serverless applications on AWS.
Building a Serverless company with Node.js, React and the Serverless Framewor...
Building a Serverless company with Node.js, React and the Serverless Framewor...Luciano Mammino The document discusses building a serverless architecture using Node.js, React, and the Serverless Framework, highlighting its history, advantages, cost considerations, and operation methods such as AWS Lambda. It emphasizes focusing on business logic and auto-scaling capabilities while addressing the importance of security, testing, and integration in a serverless environment. The presentation also covers practical implementation steps and examples to set up a serverless API and architecture efficiently.
Building a serverless company on AWS lambda and Serverless framework
Building a serverless company on AWS lambda and Serverless frameworkLuciano Mammino The document discusses the experiences of building a serverless company on AWS, focusing on Planet 9 Energy's approach to automating energy trading and transparency in billing. The authors cover their technology stack, organization of code, production paths, and lessons learned throughout the process. They also highlight the advantages of using serverless architectures, including reduced operational overhead and quicker feature development.
Run Code, Not Servers: AWS Lambda
Run Code, Not Servers: AWS LambdaÖzgür Çiçek The document discusses serverless computing, focusing on AWS Lambda and its functions, benefits, and limitations. It covers the transition from monolithic architecture to serverless, detailing the lifecycle of serverless applications, including deployment processes and error handling. Additional topics include monitoring tools, integrations with other services, and future expectations for improvements in serverless technologies.
Building self service framework
Building self service frameworkRovshan Musayev Rovshan Musayev presented on building a serverless self-service framework using AWS Lambda. He discussed how the need for automation led to creating a self-service model where teams can provision resources without asking. The framework uses AWS services like API Gateway, Lambda, SQS, and DynamoDB along with CI/CD tools. Testing is done through mocking and unit testing. Lessons learned include the importance of testing from the start and avoiding long living branches in source control.
More Related Content
Viewers also liked (18)
Tensorflow in production with AWS Lambda
Tensorflow in production with AWS LambdaFabian Dubois The document explores the integration of TensorFlow with AWS Lambda for deploying machine learning models in production, emphasizing scalability, resilience, and ease of maintenance. It discusses various deployment strategies, such as event-driven and batch processing, and provides practical steps for setting up a TensorFlow model environment on AWS. Key considerations include the absence of GPU support, model loading times, and infrastructure management cost reduction through serverless architecture.
Building a Machine Learning App with AWS Lambda
Building a Machine Learning App with AWS LambdaSri Ambati The document provides a detailed overview of building a machine learning application using AWS Lambda, highlighting its key features, such as automatic management of compute resources and server maintenance. It outlines the major steps involved, including training a model, exporting it, and deploying it as a Lambda function for domain name classification between legitimate and malicious domains. Additionally, it discusses performance metrics, common errors, pricing, and includes resources for further learning.
Universal JS Web Applications with React - Luciano Mammino - Codemotion Rome ...
Universal JS Web Applications with React - Luciano Mammino - Codemotion Rome ...Luciano Mammino This document outlines a presentation about building universal JavaScript web applications with React. It discusses:
1. The term "universal" in relation to JavaScript and some advantages it provides like maintainability and faster load times.
2. Building a frontend single page application with React and then making it universal by rendering on the server as well with React and Express.
3. Key aspects of universal apps like module sharing, routing, data retrieval and state management that work across client and server.
4. An example of building a universal JavaScript app with React called "Judo Heroes" that shows athlete data and profiles, using components, routing, data and building tools like Babel and Webpack.
Serverless Framework Intro
Serverless Framework IntroNikolaus Graf The document discusses the Serverless Framework, which is a build tool that makes it easy to setup and invoke Lambda functions on AWS. It allows developers to manage multiple Lambda functions across different regions and stages, and share code between functions. The Serverless Framework supports Node.js, Python, Java/Scala and other runtimes. Functions are defined in a serverless.yml file along with triggers like HTTP events, S3 uploads, schedules and more. The framework handles deployments to AWS and other cloud providers.
AWS Lambda - A quick introduction #advancedaws
AWS Lambda - A quick introduction #advancedawsChris Richardson This document discusses AWS Lambda, a platform as a service for event-driven microservices. It provides an introduction and overview of AWS Lambda and how it can be used to process events from services like S3, Kinesis, and DynamoDB using Node.js functions. Examples are given of how AWS Lambda could be used to build a serverless home security system that processes images uploaded to S3.
The Rise of Serverless Architectures
The Rise of Serverless ArchitecturesBenny Bauer This document discusses the rise of serverless architectures. It begins by defining serverless computing and functions as a service (FaaS), where code is deployed and automatically scales in response to events or triggers, with the vendor handling provisioning and management of servers. Examples of uses cases for FaaS include APIs, bots, file processing, and more. While advantages include scalability and paying only for usage, limitations include statelessness and cold starts. The document outlines the serverless ecosystem and frameworks and how serverless is changing business models, architectures, and operations practices in a more distributed, event-driven way.
Microservice Architecture on AWS using AWS Lambda and Docker Containers
Microservice Architecture on AWS using AWS Lambda and Docker ContainersDanilo Poccia This document summarizes microservice architecture on AWS using AWS Lambda and Docker containers. It discusses why organizations adopt microservices and how to design smaller loosely coupled services. It then covers how to use AWS services like EC2 Container Service, Lambda, ECS, and others to build and deploy microservices. Specific topics covered include distributed systems, security, testing, monitoring, discovery, deployment pipelines and more. Examples of Netflix and Hailo architectures on AWS are also mentioned.
Node.js vs Play Framework
Node.js vs Play FrameworkYevgeniy Brikman The document compares Node.js and the Play Framework, highlighting their features, performance, and use cases. Node.js is a single-threaded, non-blocking JavaScript runtime, suitable for small to medium projects, while the Play Framework is a full-stack, multithreaded framework ideal for larger projects. The document also includes code snippets, testing strategies, and deployment options for both technologies.
Bringing Cloud Native Innovation to the Enterprise
Bringing Cloud Native Innovation to the EnterpriseNicolas (Nick) Barcet The document discusses the role of OpenStack in driving digital transformation and cloud-native innovation within enterprises. It provides insights into customer usage of the Red Hat OpenStack platform and highlights the importance of simplified installation and community leadership for users. The collaboration between Ericsson and Red Hat aims to foster innovation and support customers in adopting next-generation solutions.
Serverless Architecture - introduction + AWS demo
Serverless Architecture - introduction + AWS demoJan van Zoggel The document discusses serverless architecture, highlighting the differences between backend-as-a-service (BaaS) and function-as-a-service (FaaS), along with the evolution of runtimes. It reviews platforms such as AWS Lambda, Google Functions, and Azure Functions, outlining their features, triggers, and supported technologies. Furthermore, it addresses challenges like lack of state and execution time limits, while also noting advantages such as scalability and reduced complexity.
Go Serverless with AWS Lambda and Apex
Go Serverless with AWS Lambda and ApexEdoardo Paolo Scalafiotti The document presents a discussion on serverless architecture, particularly focusing on Function as a Service (FaaS), which eliminates the need for managing servers. It highlights the benefits of serverless systems, including cost reduction, prototyping, and handling variable traffic efficiently. Additionally, it introduces Apex, a tool for building and deploying AWS Lambda functions with Go support.
OpenWhisk Introduction
OpenWhisk IntroductionIoana Baldini - IBM Bluemix OpenWhisk is a cloud platform that executes code in response to events. It provides a serverless deployment and operations model that hides infrastructural and operational complexity, allowing developers to focus on coding.
- OpenWhisk supports multiple programming languages and custom logic via Docker containers. It provides an open ecosystem to avoid vendor lock-in and accelerate development.
- The presenter demonstrated how OpenWhisk works, its programming model of triggers, actions, and rules, and its architecture. A live demo showed executing a Slack slash command that triggered an OpenWhisk action.
A quick introduction to AWS Lambda
A quick introduction to AWS Lambdaogeisser This document provides an introduction and overview of AWS Lambda. It discusses how Lambda allows executing code without provisioning or managing servers by uploading code and configuring triggers. Code can be written in Node.js, Java, or Python and executed in response to events from AWS services or API calls. Metrics and logs of Lambda function invocations are automatically sent to CloudWatch for monitoring. An example of using Lambda for thumbnail image creation in response to S3 uploads is also provided.
Serverless archtiectures
Serverless archtiecturesIegor Fadieiev This document discusses serverless architectures and provides examples of building serverless applications. It introduces serverless computing and explains why developers want to adopt serverless and DevOps approaches. Examples are given for static and dynamic websites built with serverless technologies like AWS Lambda, API Gateway, and S3 storage. The document also provides a case study of building a serverless application with services like Cognito, DynamoDB, and Lambda. Alternatives to AWS serverless options are mentioned along with takeaways about paying only for resources used.
Angular (v2 and up) - Morning to understand - Linagora
Angular (v2 and up) - Morning to understand - LinagoraLINAGORA The document discusses recent developments in Angular, focusing on new features, performance enhancements, and the advantages of using TypeScript for JavaScript development. It also highlights Angular's ecosystem, including tools like CLI, Material, and Protractor, emphasizing the platform's capabilities for creating responsive, maintainable applications. Additionally, it covers state management using RxJS and Redux for efficient data flow and app architecture.
Serverless microservices in the wild
Serverless microservices in the wildRotem Tamir The document discusses the implementation and challenges of serverless microservices at Atomdata, highlighting the benefits of AWS Lambda and API Gateway for managing resources without server maintenance. It addresses problems such as state persistence, monitoring, and debugging in a serverless environment, and introduces a logs pipeline to improve transaction-level insights using CloudWatch and Elasticsearch. Several resources and GitHub projects are provided for better serverless API logging and management.
Python in the Serverless Era (PyCon IL 2016)
Python in the Serverless Era (PyCon IL 2016)Benny Bauer This document discusses serverless architecture and the Python ecosystem for serverless applications. It introduces serverless computing and its benefits like automatic scaling and pay per use billing. Popular serverless platforms like AWS Lambda are examined along with their limitations. Frameworks for Python serverless development are presented, including the Serverless Framework for deploying AWS Lambda functions and Zappa for deploying WSGI applications on Lambda. The talk concludes that serverless architecture is the next evolution of cloud computing and an opportunity for Python developers.
서버리스(Serverless) 프레임웍 비교 - ClaudiaJS와 Chalice를 중심으로 (윤석찬)
서버리스(Serverless) 프레임웍 비교 - ClaudiaJS와 Chalice를 중심으로 (윤석찬)AWSKRUG - AWS한국사용자모임 The document compares serverless frameworks ClaudiaJS and Chalice. ClaudiaJS is described as a simple and robust deployment utility for serverless applications on AWS, while Chalice is a Python serverless microframework for AWS. Key differences are that ClaudiaJS supports Node.js and Python runtimes, while Chalice is exclusively for Python. ClaudiaJS enables some unit testing for Lambda functions, while Chalice does not support unit testing. Both aim to simplify deploying and managing serverless applications on AWS.
Similar to AWS Lambda and Serverless framework: lessons learned while building a serverless company (20)
Building a Serverless company with Node.js, React and the Serverless Framewor...
Building a Serverless company with Node.js, React and the Serverless Framewor...Luciano Mammino The document discusses building a serverless architecture using Node.js, React, and the Serverless Framework, highlighting its history, advantages, cost considerations, and operation methods such as AWS Lambda. It emphasizes focusing on business logic and auto-scaling capabilities while addressing the importance of security, testing, and integration in a serverless environment. The presentation also covers practical implementation steps and examples to set up a serverless API and architecture efficiently.
Building a serverless company on AWS lambda and Serverless framework
Building a serverless company on AWS lambda and Serverless frameworkLuciano Mammino The document discusses the experiences of building a serverless company on AWS, focusing on Planet 9 Energy's approach to automating energy trading and transparency in billing. The authors cover their technology stack, organization of code, production paths, and lessons learned throughout the process. They also highlight the advantages of using serverless architectures, including reduced operational overhead and quicker feature development.
Run Code, Not Servers: AWS Lambda
Run Code, Not Servers: AWS LambdaÖzgür Çiçek The document discusses serverless computing, focusing on AWS Lambda and its functions, benefits, and limitations. It covers the transition from monolithic architecture to serverless, detailing the lifecycle of serverless applications, including deployment processes and error handling. Additional topics include monitoring tools, integrations with other services, and future expectations for improvements in serverless technologies.
Building self service framework
Building self service frameworkRovshan Musayev Rovshan Musayev presented on building a serverless self-service framework using AWS Lambda. He discussed how the need for automation led to creating a self-service model where teams can provision resources without asking. The framework uses AWS services like API Gateway, Lambda, SQS, and DynamoDB along with CI/CD tools. Testing is done through mocking and unit testing. Lessons learned include the importance of testing from the start and avoiding long living branches in source control.
Serverless Node.js
Serverless Node.jsThe Software House The document discusses serverless architecture, specifically focusing on AWS Lambda as a function as a service (FaaS) platform. It highlights advantages such as reduced operational costs, dynamic scaling, and outsourcing server management, while also addressing concerns like vendor lock-in and limitations on execution. Additionally, it outlines the process of migrating existing services to a serverless model and provides insights into configuration, use cases, and optimization strategies.
Building Cloud-agnostic Serverless APIs
Building Cloud-agnostic Serverless APIsPostman The document discusses building cloud-agnostic serverless APIs using Postman and various cloud platforms. It outlines the integration of design, documentation, development, deployment, and ongoing testing processes while highlighting common issues such as latency, performance tuning, and the importance of connection pooling. Additionally, it emphasizes managing large projects and ensuring functions do not run excessively or incur unnecessary costs.
Serverless Architecture - A Gentle Overview
Serverless Architecture - A Gentle OverviewCodeOps Technologies LLP The document provides an overview of serverless architecture, explaining concepts such as lambda functions, event-driven execution, and characteristics of serverless applications. It discusses the evolution from traditional servers to serverless models, emphasizing benefits like rapid deployment and scalability. Additionally, it outlines use cases and popular technologies in serverless computing, including AWS Lambda and Google Cloud Functions.
Going Serverless with AWS Lambda at ReportGarden
Going Serverless with AWS Lambda at ReportGardenJay Gandhi This document discusses using AWS Lambda for serverless web scraping. It provides an example use case of scraping business directory websites to check for incorrect or missing business listings. Traditionally this would require writing separate code for each directory, but with serverless it can be done more flexibly. The benefits of the serverless approach include increased scalability, reduced costs since functions only run when needed, and easier integration with other AWS services. The document demonstrates setting up a serverless framework for asynchronous web scraping using AWS Lambda, SNS, and API Gateway.
Čtvrtkon #64 - AWS Serverless - Michal Haták
Čtvrtkon #64 - AWS Serverless - Michal HatákCtvrtkoncz The document provides an overview of serverless architecture, notably using AWS Lambda, which allows for applications to operate without permanent infrastructure, offering benefits like scalability, zero maintenance, and event-driven functionalities. It details how serverless applications function through APIs and ephemeral containers, contrasting traditional web servers with serverless models. Additionally, it discusses deployment processes, pricing models, and examples of use cases in different programming languages.
Building Serverless APIs (January 2017)
Building Serverless APIs (January 2017)Julien SIMON The document discusses the AWS Lambda service and various serverless frameworks for building APIs and applications, highlighting their features and use cases. It introduces tools like the Serverless Framework, Gordon, and AWS Chalice, which simplify the deployment and management of serverless applications across multiple programming languages. Additionally, it covers development workflows, the AWS Serverless Application Model (SAM), and the Lambda@Edge feature for running code at AWS edge locations.
Serverless presentation
Serverless presentationjasonsich The document discusses serverless architectures and focuses on Node.js, AWS Lambda, and the Serverless Framework. It provides an overview of serverless architectures and their advantages like pay-per-use and easy scaling. It also describes Node.js, AWS Lambda functions, and how the Serverless Framework can help manage serverless projects. Some disadvantages discussed are limitations on AWS Lambda functions and challenges with debugging serverless applications. The document concludes that serverless can be cost effective for event-driven workloads but may not be a good fit for all projects.
AWS Serverless with Lambda, ApiGateway
AWS Serverless with Lambda, ApiGatewayRavi Soni This document discusses serverless computing using AWS Lambda and API Gateway. It provides an overview of serverless concepts and benefits, describes AWS serverless services like Lambda and API Gateway, and how they can be used to build REST APIs and backend services for applications. The presentation includes definitions of serverless, examples of serverless platforms, advantages like scalability and cost effectiveness, and a demo of creating a REST API with Lambda and API Gateway.
Building applications with Serverless Framework and AWS Lambda - JavaZone 2019
Building applications with Serverless Framework and AWS Lambda - JavaZone 2019Fredrik Vraalsen The document outlines a workshop by Fredrik Vraalsen on building applications with the serverless framework and AWS Lambda, covering setup, deployment, and use cases of serverless architecture. It emphasizes key features such as quick deployment, pay-per-use, and auto-scaling. Throughout the presentation, examples and exercises illustrate the creation of backend APIs, event processing, and orchestration using AWS Lambda and related services.
Serverless architectures-with-aws-lambda
Serverless architectures-with-aws-lambdasaifam The document provides an overview and best practices for building serverless applications with AWS Lambda. It defines serverless as applications that don't require managing servers. AWS Lambda is introduced as a serverless compute service that runs code in response to events. The document covers Lambda function code, event sources, and configuration. It then discusses best practices for serverless architectures, development, and sample architectures. Serverless allows focusing on business logic rather than server management and enables automatic scaling.
Serverless Go at BuzzBird
Serverless Go at BuzzBirdVladislav Supalov The document outlines Vladislav Supalov's experiences and insights on implementing a serverless architecture at Buzzbird, a company focused on influencer marketing. It discusses the shift from a monolithic application to a more flexible, service-oriented structure, highlighting the technology choices made, the challenges faced, and the lessons learned during the transition. Key takeaways include an emphasis on focusing on core business needs, improved developer experience, and significant cost savings in infrastructure.
Operational challenges behind Serverless architectures
Operational challenges behind Serverless architecturesLaurent Bernaille The document discusses the operational challenges associated with serverless architectures, highlighting issues in observability, event-based architecture, and security. It emphasizes the importance of monitoring functions, understanding service behavior, and managing new services like DynamoDB and Kinesis. Additionally, it addresses continuous delivery challenges and the need for new practices in deploying and testing serverless applications.
Primeros pasos en desarrollo serverless
Primeros pasos en desarrollo serverlessjavier ramirez The document discusses the shift towards serverless computing, highlighting its advantages such as faster feature releases, increased agility, and reduced overhead for organizations. It emphasizes the adoption of services like AWS Lambda and Fargate, which allow developers to focus on business logic without managing servers. Additionally, it covers the operational models and tools provided by AWS to facilitate serverless application development and manageability.
Building serverless apps with Node.js
Building serverless apps with Node.jsJulien SIMON This document summarizes serverless computing using AWS Lambda. It discusses how AWS Lambda allows developers to deploy code without managing infrastructure. Various frameworks are presented that simplify development and deployment of serverless applications using AWS Lambda, including the Serverless framework, Gordon, and the new AWS Serverless Application Model (SAM). Serverless architectures with AWS Lambda provide scalability and pay-per-use pricing for event-driven applications.
The future will be Serverless (FrontConf Munich 2017)
The future will be Serverless (FrontConf Munich 2017)Luciano Mammino The document discusses the evolution and future of serverless computing, detailing its transition from bare metal to cloud-based services. It covers fundamental concepts of serverless architecture, benefits, challenges, and use cases, emphasizing its focus on eliminating server management. Additionally, the document provides guidance for companies considering adopting serverless solutions.
Serverless Computing, AWS Way: SourceFuse Technologies
Serverless Computing, AWS Way: SourceFuse Technologies Sarmishtha Sinha The document outlines SourceFuse's expertise in serverless computing, leveraging AWS to build applications without server management, enabling flexible scaling and high availability. It details AWS services such as Lambda and API Gateway, focusing on features like code execution, event sources, and monitoring capabilities. Additionally, it highlights specific projects developed using AWS serverless architecture, showcasing the company's innovative solutions and inviting potential clients to connect for further collaboration.
Ad
More from Luciano Mammino (20)
Serverless Rust: Your Low-Risk Entry Point to Rust in Production (and the ben...
Serverless Rust: Your Low-Risk Entry Point to Rust in Production (and the ben...Luciano Mammino Ready to ignite your enterprise with Rust, but struggling to justify the investment? Performance isn't enough. Instead of massive rewrites, what if you could start small with a low-risk path to production? This talk shows you how. Discover the power of Rust & serverless as a fast, safe, and sustainable entry point, delivering significant short & long-term benefits. Walk away armed with compelling arguments to persuade your leadership and hands-on code samples to begin your Serverless Rust journey today.
Did you know JavaScript has iterators? DublinJS
Did you know JavaScript has iterators? DublinJSLuciano Mammino The document contains code snippets in various programming languages to calculate a total from a list of financial transactions, indicating whether the user is financially sound or not. Each snippet processes a series of 'paid' and 'received' transactions, adjusting the total accordingly and outputting messages based on the resulting balance. Additionally, it touches on the concept of lazy iterators and the utility of iterators in efficiently handling data streams.
What I learned by solving 50 Advent of Code challenges in Rust - RustNation U...
What I learned by solving 50 Advent of Code challenges in Rust - RustNation U...Luciano Mammino The document discusses using iterator combinators in Rust to solve an Advent of Code puzzle in a more functional style compared to a classic imperative approach. It shows code to parse input data into batches, map lines to values, sum the values, and take the maximum. It then extends this to sort batches descending and take the top 3 sums to solve part 2 of the puzzle in a flexible way using combinators.
Building an invite-only microsite with Next.js & Airtable - ReactJS Milano
Building an invite-only microsite with Next.js & Airtable - ReactJS MilanoLuciano Mammino The document outlines steps to build an invite-only website using Next.js and Airtable. It discusses:
1) Organizing guest data like name and favorite color in an Airtable database.
2) Setting up a Next.js project and retrieving invite data from Airtable using its API and creating an Invite interface.
3) Creating a Next.js API to fetch invite data based on an invite code parameter.
From Node.js to Design Patterns - BuildPiper
From Node.js to Design Patterns - BuildPiperLuciano Mammino The document discusses asynchronous programming in JavaScript, describing the differences between blocking and non-blocking I/O operations. It covers the use of callbacks, promises, and async/await to handle asynchronous tasks more effectively, addressing pitfalls like callback hell. Real-world examples illustrate the concepts of fetching, cancelling, and refunding bookings through various asynchronous approaches.
Let's build a 0-cost invite-only website with Next.js and Airtable!
Let's build a 0-cost invite-only website with Next.js and Airtable!Luciano Mammino The document describes building an invite-only website using Next.js and Airtable. It outlines:
1) Organizing guest data like names and preferences in an Airtable database.
2) Creating a Next.js project and APIs to retrieve invite data from Airtable by invite code.
3) Authenticating access to Next.js pages by checking for a valid invite code parameter.
Everything I know about S3 pre-signed URLs
Everything I know about S3 pre-signed URLsLuciano Mammino The document discusses a meetup presentation about AWS, focusing on implementing a profile picture upload feature using Lambda and S3 pre-signed URLs. It explains request structures for uploading images, the limitations of API Gateway, and the benefits of using S3 for uploads, highlighting that S3 pre-signed URLs allow for arbitrarily large files to be securely uploaded. Additionally, it touches on the generation and security aspects of pre-signed URLs while providing code examples for usage with the AWS SDK for JavaScript.
Serverless for High Performance Computing
Serverless for High Performance ComputingLuciano Mammino The document discusses the implementation of a serverless architecture for high-performance computing (HPC) at AWS, focusing on improving risk modeling and analytics. It outlines the obstacles faced with on-prem solutions, the goals for increased performance, and the successful outcomes achieved, including reduced execution times and operational costs. Key components of the architecture include AWS Lambda, Step Functions, and a custom event-driven job scheduler to optimize processing and scaling.
Serverless for High Performance Computing
Serverless for High Performance ComputingLuciano Mammino The document discusses the feasibility of using serverless technology for high-performance computing (HPC), highlighting a case study that illustrates the transition from traditional on-premise solutions to AWS serverless architecture. The migration resulted in significant performance increases, reduced costs, and enhanced agility for business operations, particularly in financial modeling and deal analytics. Challenges such as job scheduling and data throughput were addressed through innovative solutions, establishing a 'serverless supercomputer' for HPC workloads.
JavaScript Iteration Protocols - Workshop NodeConf EU 2022
JavaScript Iteration Protocols - Workshop NodeConf EU 2022Luciano Mammino The document discusses JavaScript iteration protocols including generators, iterators, iterables, async iterators, and async iterables.
It provides examples of using generator functions to create custom iterables. It explains that generator objects are both iterators and iterables.
The document also explains the iterator and iterable protocols, defining what makes an object an iterator and what makes an object iterable. It shows how to implement these protocols using generator functions, anonymous objects, and classes.
Finally, it covers async iteration protocols, showing how to create async iterators and async iterables, typically using async generator functions. It provides examples of built-in Node.js async iterables like readable streams.
Building an invite-only microsite with Next.js & Airtable
Building an invite-only microsite with Next.js & AirtableLuciano Mammino Imagine you are hosting a private event and you want to create a website to invite all your guests. Of course you'd like to have an easy way to just share a URL with every guest and they should be able to access all the details of the event. Everyone else should not be allowed to see the page. Even nicer if the website is customized for every guest and if you could use the same website to collect information from the guests (who is coming and who is not). Ok, how do we build all of this? But, most importantly, how do we build it quickly? How do we keep it simple and possibly host it 100% for FREE? I had to do something like this recently so, in this talk, I am going to share my solution, which involves a React SPA (built with Next.js & Vercel) and AirTable as a backend!
Let's take the monolith to the cloud 🚀
Let's take the monolith to the cloud 🚀Luciano Mammino The document discusses the transition of a monolithic application to a cloud-based infrastructure to enhance reliability and scalability while minimizing changes due to limited team skills. It outlines a roadmap for implementing AWS services, including load balancers, EC2, S3, RDS, and Elasticache, as well as the importance of Infrastructure as Code (IaC) for consistent deployments. Key challenges include maintaining low cognitive load and managing the migration effectively without extensive code rewrites.
A look inside the European Covid Green Certificate - Rust Dublin
A look inside the European Covid Green Certificate - Rust DublinLuciano Mammino The document provides an overview of the European COVID-19 Green Certificate, detailing its necessity for secure and verifiable proof of vaccination or recovery from COVID-19. It discusses the cryptographic model, data encoding, and decoding processes necessary for the certificate's functionality, including the use of Base45 encoding and zlib compression. Additionally, it outlines how to decode the certificates programmatically using Rust.
Monoliths to the cloud!
Monoliths to the cloud!Luciano Mammino The document outlines a transition plan for moving a monolithic application to a scalable cloud architecture, addressing scalability and reliability concerns. It discusses key AWS components, including load balancers, EC2 instances, S3 for storage, and RDS for databases, while emphasizing the importance of keeping the transition minimally invasive for the existing team. The document also covers the necessity of adopting Infrastructure as Code practices for consistent environment management.
The senior dev
The senior devLuciano Mammino The document outlines the expectations for senior software engineers, focusing on essential skills, both technical and soft, as well as the mindset required to thrive in diverse environments. It emphasizes the importance of being a team player, understanding trade-offs in technology, and maintaining effective communication with stakeholders. Additionally, the document encourages continuous growth through learning, collaboration, and overcoming challenges within teams.
Node.js: scalability tips - Azure Dev Community Vijayawada
Node.js: scalability tips - Azure Dev Community VijayawadaLuciano Mammino The document offers scalability tips for Node.js developers, emphasizing the importance of establishing performance baselines. It includes illustrative code snippets for creating a QR code server using Node.js and the qrcode library. The main takeaway is that scalability in services results in improved performance proportional to added resources.
A look inside the European Covid Green Certificate (Codemotion 2021)
A look inside the European Covid Green Certificate (Codemotion 2021)Luciano Mammino The document presents an overview of the European COVID Green Certificate, detailing the need for a digital system to verify vaccination, testing, or recovery status during the pandemic. It discusses technical aspects such as cryptographic models, data encoding, and the information included in the certificates. The presentation aims to educate the audience on these technologies while emphasizing their secure and cross-border applicability.
AWS Observability Made Simple
AWS Observability Made SimpleLuciano Mammino 1. The document discusses observability in AWS and introduces a tool called SLIC Watch that automates the configuration of CloudWatch alarms and dashboards for serverless applications.
2. SLIC Watch generates CloudFormation templates that set up application-specific dashboards and alarms using metrics from services like Lambda, DynamoDB, and API Gateway to help operators more quickly identify issues.
3. The document provides an example of how SLIC Watch could help diagnose issues like DynamoDB throttling and Lambda timeouts by automating the creation of relevant metrics and alarms without requiring manual configuration of CloudWatch.
Semplificare l'observability per progetti Serverless
Semplificare l'observability per progetti ServerlessLuciano Mammino The document discusses simplifying observability for serverless projects, emphasizing the use of AWS CloudWatch for monitoring and managing metrics, logs, and alarms. It advocates for best practices and automation tools like Slic Watch to enhance the configuration and usability of observability in serverless applications. The author provides insights into setup and customization, highlighting the importance of proper configuration for effective observability.
Finding a lost song with Node.js and async iterators - NodeConf Remote 2021
Finding a lost song with Node.js and async iterators - NodeConf Remote 2021Luciano Mammino The document presents a solution for finding a lost song using Node.js and async iterators, specifically with the Last.fm API. It details the process of fetching recent tracks, handling paginated responses, and implementing a generalized reader to access track information efficiently. Additionally, the author shares their personal experience in trying to recall a song based on partial memories and demonstrates how to retrieve and display the song data programmatically.
Ad
Recently uploaded (20)
The Future of Technology: 2025-2125 by Saikat Basu.pdf
The Future of Technology: 2025-2125 by Saikat Basu.pdfSaikat Basu A peek into the next 100 years of technology. From Generative AI to Global AI networks to Martian Colonisation to Interstellar exploration to Industrial Nanotechnology to Artificial Consciousness, this is a journey you don't want to miss. Which ones excite you the most? Which ones are you apprehensive about? Feel free to comment! Let the conversation begin!
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...Edge AI and Vision Alliance For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/key-requirements-to-successfully-implement-generative-ai-in-edge-devices-optimized-mapping-to-the-enhanced-npx6-neural-processing-unit-ip-a-presentation-from-synopsys/
Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit.
In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based neural networks. He reviews the distinct attributes of transformers, their advantages over conventional convolutional neural networks and how they enable generative AI.
Cooper then covers key requirements that must be met for neural processing units (NPU) to support transformers and generative AI in edge device applications. He uses transformer-based generative AI examples to illustrate the efficient mapping of these workloads onto the enhanced Synopsys ARC NPX NPU IP family.
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash Coordinated Disclosure for ML - What's Different and What's the Same
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019 A presentation at Internetware 2025.
"Database isolation: how we deal with hundreds of direct connections to the d...
"Database isolation: how we deal with hundreds of direct connections to the d...Fwdays What can go wrong if you allow each service to access the database directly? In a startup, this seems like a quick and easy solution, but as the system scales, problems appear that no one could have guessed.
In my talk, I'll share Solidgate's experience in transforming its architecture: from the chaos of direct connections to a service-based data access model. I will talk about the transition stages, bottlenecks, and how isolation affected infrastructure support. I will honestly show what worked and what didn't. In short, we will analyze the controversy of this talk.
UserCon Belgium: Honey, VMware increased my bill
UserCon Belgium: Honey, VMware increased my billstijn40 VMware’s pricing changes have forced organizations to rethink their datacenter cost management strategies. While FinOps is commonly associated with cloud environments, the FinOps Foundation has recently expanded its framework to include Scopes—and Datacenter is now officially part of the equation. In this session, we’ll map the FinOps Framework to a VMware-based datacenter, focusing on cost visibility, optimization, and automation. You’ll learn how to track costs more effectively, rightsize workloads, optimize licensing, and drive efficiency—all without migrating to the cloud. We’ll also explore how to align IT teams, finance, and leadership around cost-aware decision-making for on-prem environments. If your VMware bill keeps increasing and you need a new approach to cost management, this session is for you!
CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025
CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025pcprocore 👉𝗡𝗼𝘁𝗲:𝗖𝗼𝗽𝘆 𝗹𝗶𝗻𝗸 & 𝗽𝗮𝘀𝘁𝗲 𝗶𝗻𝘁𝗼 𝗚𝗼𝗼𝗴𝗹𝗲 𝗻𝗲𝘄 𝘁𝗮𝗯> https://pcprocore.com/ 👈◀
CapCut Pro Crack is a powerful tool that has taken the digital world by storm, offering users a fully unlocked experience that unleashes their creativity. With its user-friendly interface and advanced features, it’s no wonder why aspiring videographers are turning to this software for their projects.
Security Tips for Enterprise Azure Solutions
Security Tips for Enterprise Azure SolutionsMichele Leroux Bustamante Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.
Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash Lessons Learned from Developing Secure AI Workflows
Creating Inclusive Digital Learning with AI: A Smarter, Fairer Future
Creating Inclusive Digital Learning with AI: A Smarter, Fairer FutureImpelsys Inc. Have you ever struggled to read a tiny label on a medicine box or tried to navigate a confusing website? Now imagine if every learning experience felt that way—every single day.
For millions of people living with disabilities, poorly designed content isn’t just frustrating. It’s a barrier to growth. Inclusive learning is about fixing that. And today, AI is helping us build digital learning that’s smarter, kinder, and accessible to everyone.
Accessible learning increases engagement, retention, performance, and inclusivity for everyone. Inclusive design is simply better design.
9-1-1 Addressing: End-to-End Automation Using FME
9-1-1 Addressing: End-to-End Automation Using FMESafe Software This session will cover a common use case for local and state/provincial governments who create and/or maintain their 9-1-1 addressing data, particularly address points and road centerlines. In this session, you'll learn how FME has helped Shelby County 9-1-1 (TN) automate the 9-1-1 addressing process; including automatically assigning attributes from disparate sources, on-the-fly QAQC of said data, and reporting. The FME logic that this presentation will cover includes: Table joins using attributes and geometry, Looping in custom transformers, Working with lists and Change detection.
cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2 מרכז עיבודים תעשייתי בעל 3/4/5 צירים, עד 22 החלפות כלים עם כל אפשרויות העיבוד הדרושות. בעל שטח עבודה גדול ומחשב נוח וקל להפעלה בשפה העברית/רוסית/אנגלית/ספרדית/ערבית ועוד..
מסוגל לבצע פעולות עיבוד שונות המתאימות לענפים שונים: קידוח אנכי, אופקי, ניסור, וכרסום אנכי.
Improving Data Integrity: Synchronization between EAM and ArcGIS Utility Netw...
Improving Data Integrity: Synchronization between EAM and ArcGIS Utility Netw...Safe Software Utilities and water companies play a key role in the creation of clean drinking water. The creation and maintenance of clean drinking water is becoming a critical problem due to pollution and pressure on the environment. A lot of data is necessary to create clean drinking water. For fieldworkers, two types of data are key: Asset data in an asset management system (EAM for example) and Geographic data in a GIS (ArcGIS Utility Network ). Keeping this type of data up to date and in sync is a challenge for many organizations, leading to duplicating data and creating a bulk of extra attributes and data to keep everything in sync. Using FME, it is possible to synchronize Enterprise Asset Management (EAM) data with the ArcGIS Utility Network in real time. Changes (creation, modification, deletion) in ArcGIS Pro are relayed to EAM via FME, and vice versa. This ensures continuous synchronization of both systems without daily bulk updates, minimizes risks, and seamlessly integrates with ArcGIS Utility Network services. This presentation focuses on the use of FME at a Dutch water company, to create a sync between the asset management and GIS.
The Future of AI Agent Development Trends to Watch.pptx
The Future of AI Agent Development Trends to Watch.pptxLisa ward The Future of AI Agent Development: Trends to Watch explores emerging innovations shaping smarter, more autonomous AI solutions for businesses and technology.
War_And_Cyber_3_Years_Of_Struggle_And_Lessons_For_Global_Security.pdf
War_And_Cyber_3_Years_Of_Struggle_And_Lessons_For_Global_Security.pdfbiswajitbanerjee38 Russia is one of the most aggressive nations when it comes to state coordinated cyberattacks — and Ukraine has been at the center of their crosshairs for 3 years. This report, provided the State Service of Special Communications and Information Protection of Ukraine contains an incredible amount of cybersecurity insights, showcasing the coordinated aggressive cyberwarfare campaigns of Russia against Ukraine.
It brings to the forefront that understanding your adversary, especially an aggressive nation state, is important for cyber defense. Knowing their motivations, capabilities, and tactics becomes an advantage when allocating resources for maximum impact.
Intelligence shows Russia is on a cyber rampage, leveraging FSB, SVR, and GRU resources to professionally target Ukraine’s critical infrastructures, military, and international diplomacy support efforts.
The number of total incidents against Ukraine, originating from Russia, has steadily increased from 1350 in 2021 to 4315 in 2024, but the number of actual critical incidents has been managed down from a high of 1048 in 2022 to a mere 59 in 2024 — showcasing how the rapid detection and response to cyberattacks has been impacted by Ukraine’s improved cyber resilience.
Even against a much larger adversary, Ukraine is showcasing outstanding cybersecurity, enabled by strong strategies and sound tactics. There are lessons to learn for any enterprise that could potentially be targeted by aggressive nation states.
Definitely worth the read!
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.
"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...
"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...Fwdays We will explore how e-commerce projects prepare for the busiest time of the year, which key aspects to focus on, and what to expect. We’ll share our experience in setting up auto-scaling, load balancing, and discuss the loads that Silpo handles, as well as the solutions that help us navigate this season without failures.
Information Security Response Team Nepal_npCERT_Vice_President_Sudan_Jha.pdf
Information Security Response Team Nepal_npCERT_Vice_President_Sudan_Jha.pdfICT Frame Magazine Pvt. Ltd. Artificial Intelligence (AI) is rapidly changing the face of cybersecurity across the globe. In Nepal, the shift is already underway. Vice President of the Information Security Response Team Nepal (npCERT) and Information Security Consultant at One Cover Pvt. Ltd., Sudan Jha, recently presented an in-depth workshop on how AI can strengthen national security and digital defenses.
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...Edge AI and Vision Alliance
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
Information Security Response Team Nepal_npCERT_Vice_President_Sudan_Jha.pdf
Information Security Response Team Nepal_npCERT_Vice_President_Sudan_Jha.pdfICT Frame Magazine Pvt. Ltd.
AWS Lambda and Serverless framework: lessons learned while building a serverless company
- 1. AWS Lambda & Serverless framework Lessons learned while building a serverless company 26/01/2017@Podgeypoos79 - @loige
- 2. Luciano Mammino ● @loige on Twitter ● Lmammino on GitHub ● Blog at loige.co ● Co-author of: Node.js Design Patterns(Second Edition)
- 3. Padraig O’Brien (a.k.a “Podge”) ● @podgeypoos79 on Twitter ● Does not have a book (yet…) ● Organiser of Nodeschool Dublin and Dun Laoghaire ● Organiser of Dublin Serverless meetup ● He is writing his own database, unicorndb
- 4. Agenda ● Planet 9 Energy ● Serverless ● Security ● Quality ● Developer Experience ● Costs ● Lessons learned
- 7. 17.520 * * 24 Meter readings Customer size Data versions ≈4 billion data pts / year (tot.) SMALL customer ≈3 mln data pts / year MEDIUM customer ≈20 mln data pts / year BIG customer ≈110 mln data pts / year ( Per customer / year )
- 8. ● Limited number of “Full stack” engineers ● Write & deploy quality code as fast as possible ● Adopt hot and relevant technologies ● No servers... or more to the point, NO CALLS AT 2 AM! Our requirements
- 14. Anatomy of Serverless.yml Serverless.yml header
- 15. Defining functions and events
- 16. Why?
- 17. What is a lambda? ● Function as a service (FAAS) ● Pay for invocation / processing time ● Virtually “infinite” auto-scaling ● Focus on business logic, not on servers daaaa!
- 18. Lambda as micro-services ● Events are first-class citizens ● Every lambda scales independently ● Agility (develop features quick and in an isolated fashion) Classic micro-services concerns: ● Granularity (how to separate features? BDD? Bounded Contexts?) ● Orchestration (dependencies between lambdas, service discovery…)
- 19. Anatomy of a Lambda in Node.js
- 20. Some use cases ● REST over HTTP (API Gateway) ● SNS messages ● Schedule/Cron ● DynamoDB data changes ● S3 files changes ● IoT
- 21. HTTP REQUEST - API Call POST /hello/Elvis?foo=bar { “test”: “body” }
- 23. Authentication (JWT tokens) Custom “authorizer lambda” “Who is the current user?”
- 24. Users API 1 Authentication Authorizer API 2 API 3 Credentials API Request JWT token JWT tokenVerify credentials Validate token & extract userId User: Podge Pass: Unicorns
- 25. Authorization “Can Podge trade for Account23 ?” User Action Resource
- 26. Authorization ● Custom ACL library imported by every lambda ● Built on top of: ○ node-acl ○ Knex.js ● Persistence in Postgres User Action Resource Podge trade Account23 Podge changeSettings Account23 Luciano delete * ... ... ...
- 27. ACL Lib Example
- 32. Unit Testing ● Split business logic into small testable modules ● Use dependency injection for external resources (DB, Filesystem, etc.) ● Mock dependencies with Sinon ● Aim for 100% coverage
- 33. ● Use child_process.exec to launch “serverless invoke local” ● Use node-tap to make assertions on the output ● Test environment recreated locally with docker (e.g. Postgres test DB). ● Cannot always test locally (Redshift, SNS, SQS…) Functional Testing
- 34. Functional test with sls invoke local
- 36. Babel custom preset (transpile to Node 4.3.2)
- 37. Build process JSdoc Up to 90% code size reduction Using Webpack 2 “tree-shaking”
- 38. Continuous Integration Git-Flow ● Check code style (ESLint) ● Run unit tests ● Build the project ● Run functional tests ● If commit is on “master”: Create deployable artifact ● Develop features/fixes locally using git branches ● Push to GitHub
- 39. Deployments local test dev qa production Deploy lambdas and React apps
- 42. Downloading the artifact from CircleCI
- 43. Deploying the code using Serverless
- 45. ● Develop locally - Invoke local. ● Deploy to AWS. ● Invoke on AWS and stream the logs. ● This is a SLOW feedback loop. ● Lots of requests to improve local dev. ● Plugins are helping to improve this. Local development
- 48. Serverless Api Gateway Logs
- 49. Serverless Mocha
- 50. Monitoring
- 63. $ = Time * Memory * Invocation
- 65. Our current Lambda costs
- 66. Lessons learned ( we found out…)
- 67. DEBUGGING
- 68. How do we do debug then... ● console.log … ● Using debug module ● Enabling detailed logs only when needed (per feature)
- 73. Api Gateway Custom domain mapping It is a manual step…
- 74. With Api Gateway... You have 10 30 seconds!
- 75. AWS Lambda limitations ● 512 MB of TMP space ● Lambdas can only execute for 300 seconds ● Request Response size of 6 MB ● Event size of 128 Kb ● Max 50 MB for deployment package
- 77. Cold starts... ☃
- 79. serverlessbeer.com is a real thing! Well… it’s not, but it’s a good idea! (read the tutorial)
- 80. Recap ● Serverless architectures are COOL! ○ Infinite scalability at low cost ○ Managed service ○ Still has some limitations ● Managing a project might be hard but: ○ Technology progress and open source projects (Serverless.com) will make things easier
- 81. Planet 9 Energy tech-team We are hiring :) Peter Saŝa Podge Luciano YOU? Alberto Joe DomagojHugh Gus Ruth Check out Loki.js
- 82. THANK YOU Planet9energy.com - [email protected] Special Thanks to @johnbrett_ Use the , Luke!