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.
Building a serverless company on AWS lambda and Serverless frameworkLuciano Mammino
Planet9energy.com is a new electricity company building a sophisticated analytics and energy trading platform for the UK market. Since the earliest draft of the platform, we took the unconventional decision to go serverless and build the product on top of AWS Lambda and the Serverless framework using Node.js. In this talk, I want to discuss why we took this radical decision, what are the pros and cons of this approach and what are the main issues we faced as a tech team in our design and development experience. We will discuss how normal things like testing and deployment need to be re-thought to work on a serverless fashion but also the benefits of (almost) infinite self-scalability and the peace of mind of not having to manage hundreds of servers. Finally, we will underline how Node.js seems to fit naturally in this scenario and how it makes developing serverless applications extremely convenient.
Technologies:
Backend
Frontend
Application architecture
Javascript
cloud computing
Building a Serverless company with Node.js, React and the Serverless Framewor...Luciano Mammino
Planet9energy.com is a new electricity company building a sophisticated analytics and energy trading platform for the UK market. Since the earliest draft of the platform, we took the unconventional decision to go serverless and build the product on top of AWS Lambda and the Serverless framework using Node.js. In this talk, I want to discuss why we took this radical decision, what are the pros and cons of this approach and what are the main issues we faced as a tech team in our design and development experience. We will discuss how normal things like testing and deployment need to be re-thought to work on a serverless fashion but also the benefits of (almost) infinite self-scalability and the piece of mind of not having to manage hundreds of servers. Finally, we will underline how Node.js seems to fit naturally in this scenario and how it makes developing serverless applications extremely convenient.
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.
Communication tool & Environment for Remote WorkerShotaro Sakamaki
Shotaro Sakamaki is a front-end engineer at PixelGrid.Inc, a company that develops JavaScript applications. He discusses the communication tools and development environment used by PixelGrid's remote workers. Key tools mentioned include Slack for chat, esa.io for documentation sharing, GitHub for source control, and ZenHub as a GitHub extension. Costs for these paid services range from $3.99 to $6.67 per user per month. While costs may seem high, the speaker argues they replace expenses from maintaining multiple free tools and reduce invisible maintenance costs.
Developer Experience at the Guardian, Equal Experts Sept 2021Akash Askoolum
The Guardian Developer Experience team’s mission statement is to “Enable teams to focus on delivering value at lightning speed by streamlining infrastructure management”.
In this session, the Guardian will describe how we’re working to fulfil our mission; we’ll give a brief history and a glimpse into the future.
How dorma+kaba leverages and deploys on CloudFoundry - CloudFoundry Summit Eu...Adriano Raiano
DORMA Group and Kaba Group, merged to form dorma+kaba in September 2015. The merger has created one of the top three companies in the global market for security and access solutions, with pro forma sales of more than CHF 2 billion and around 16,000 employees. dorma+kaba is active in over 50 countries and has a presence, through both production sites and distribution and service offices, in all relevant markets. In this presentation, you will take part of the journey of how dorma+kaba is leveraring Cloud Foundry for their access control as a service "exivo" and how they deploy on it.
Cloud Foundry makes it exceptionally simple to deploy and manage applications with simple commands like 'cf push'. However, as your application grows in complexity and the number of deployed components explodes it becomes difficult to keep an overview of the required services and bindings. Many organisations, like dorma+kaba, face these challenges sooner or later, especially with microservices architecture. Starting from the naive idea of automating deployments using shell scripts wrapping the Cloud Foundry cli, the pitfalls encountered with this approach, and the evolution towards sophisticated and reliable tooling. Finally dorma+kaba built their open framework to deploy 80+ applications through multiple deployment stages including production and open sourced it during the CF Summit
DevOps Days Tel Aviv - Serverless ArchitectureAntons Kranga
Slides from Serverless Architecture with AWS workshop that has been delivered in Tel Aviv at December 2016 and XP Days in Kyiv at November. We go in details about AWS Lambda and give few implementation blueprints targeted to web applications
My presentation about Serverless Architectures in JavaDay Lviv, June 2016. It covers AWS Lambda and related AWS Services. LiveDemo have got terraform and apex.
Patterns and practices for real-world event-driven microservicesRachel Reese
Jet.com is an e-commerce startup competing with Amazon. We're heavy users of F#, and have based our architecture around Azure-based event-driven functional microservices. Over the last several months, we've schooled ourselves on what works and what doesn't for F# and microservices. This session will walk you through the lessons we have learned on our way to developing our platform.
This document provides an introduction and overview of key AWS services, including:
- Infrastructure as a Service (IaaS) offerings like EC2, EBS, S3, and regions/availability zones.
- Platform as a Service (PaaS) like RDS, DynamoDB, Lambda, and analytics services.
- Software as a Service (SaaS) examples.
It discusses architecture principles of availability, fault tolerance, and scalability that AWS supports. Brief histories of AWS and its evolution are also presented.
Presentation given to NashJS (http://meetup.com/nashjs) on 6/14/2018 about serverless architecture in AWS using the Serverless framework (http://serverless.com).
Docker containers are an excellent solution to many problems: they can greatly simplify your deployment process, they provide an alternative approach to configuration management, and they offer excellent consistency and portability. However, running production environments on Docker containers can be challenging and requires careful consideration of various aspects such as high availability, scalability, storage persistence and more. In this webinar we will address some of the prominent issues you might encounter when designing Docker-based production environments on AWS, and present possible solutions to these issues.
Serverless APIs with JavaScript - Matt Searle - ChocPandaPaul Dykes
A presentation given by Scott Logic's Matt Searle at the JS Roundabout meetup in London on 9 July 2019, providing an introduction to building serverless APIs in JavaScript, with some tools, tips and best practices for getting started in this new environment.
2016 - Serverless Microservices on AWS with API Gateway and Lambdadevopsdaysaustin
Presentation by Matt Barlow
Someone just gave you an idea for a new microservice. How quickly can you build it?
Using Swagger, API Gateway, and Lambda, we'll go from idea to HTTP response with just a few edits. We'll look at how Swagger can auto generate our API Gateway service, docs, client libraries, monitors, and tests, saving us a ton of work. We'll make code changes, version them in Lambda, and evaluate them with curl or Postman in seconds.
This document provides an overview of a workshop on running Kubernetes on AWS. It outlines the prerequisites including installing Git, AWS CLI, kubectl, and cloning a GitHub repository. The workshop will cover basic Kubernetes concepts like pods, labels, replication controllers, deployments and services. It will demonstrate how to build a Kubernetes cluster on AWS using CloudFormation for infrastructure as code. Hands-on portions will include deploying containers, creating services, and observing the cluster architecture and networking. Additional topics are cluster add-ons like Kubernetes Dashboard and DNS, deploying applications, and cleaning up resources.
The document discusses serverless architectures using AWS Lambda and Amazon Kinesis. It describes how DAZN uses a serverless-first approach with services like API Gateway, SQS, SNS, Step Functions, and Kinesis. It provides examples of using Kinesis as a task queue, transaction log, and for building analytics pipelines. It also covers best practices for streaming data, security, observability, and challenges of building distributed systems with streams.
Peter Salnikov discusses continuous integration and continuous delivery (CI/CD) workflows in AWS using CodePipeline, CodeBuild, and CodeDeploy. CodePipeline can be used to automate multi-stage pipelines including source control, building, testing, and deploying serverless applications. CodeBuild is used to build and test Lambda functions. CodeDeploy is then used to deploy updated Lambda functions and API Gateway/DynamoDB resources by updating CloudFormation stacks.
Open stack ocata summit enabling aws lambda-like functionality with openstac...Shaun Murakami
Presentation delivered at the OpenStack summit Barcelona 2016.
https://www.openstack.org/videos/video/enabling-aws-s3-lambda-like-functionality-with-openstack-swift-and-openwhisk
Does the concept of server-less architecture intrigue you? OpenWhisk (https://git.io/vKeu3) accelerates innovation through creative chaining of microservices into highly scalable applications. By abstracting away infrastructure, OpenWhisk frees small teams to rapidly work on independent pieces of code simultaneously, keeping development focused solely on creating essential business logic. OpenWhisk allows you to create rules to connect events with actions and compose microservices that get executed independently and in parallel.
With a bit of code, you can have OpenWhisk process events from your Swift Object Storage; similar to what you can do with Lambda functions and AWS S3 storage. As an example, we will demonstrate how you can create an OpenWhisk action to transform an image into a thumbnail whenever a new (larger) image is uploaded into a Swift Container.
Ever since the “CloudNative revolution” took over our development environment (devenv), we have never been more challenged (or more excited). With Kubernetes, Docker (Containerd) & many other microservice-related technologies, we have a handful of technologies to master before we write the first line of code.
This document provides an overview and summary of DevOps, microservices, and serverless architecture. It discusses key concepts like DevOps and how it relates to software delivery. Microservices and their rise in popularity for building loosely coupled services. Serverless architecture and how it abstracts away infrastructure management. It also summarizes different AWS services that can be used to build microservices and serverless applications, like ECS, Lambda, API Gateway, and provides examples of architectures using these services.
Quick introduction to Apache OpenWhisk, an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications.
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
DevOps Days Tel Aviv - Serverless ArchitectureAntons Kranga
Slides from Serverless Architecture with AWS workshop that has been delivered in Tel Aviv at December 2016 and XP Days in Kyiv at November. We go in details about AWS Lambda and give few implementation blueprints targeted to web applications
My presentation about Serverless Architectures in JavaDay Lviv, June 2016. It covers AWS Lambda and related AWS Services. LiveDemo have got terraform and apex.
Patterns and practices for real-world event-driven microservicesRachel Reese
Jet.com is an e-commerce startup competing with Amazon. We're heavy users of F#, and have based our architecture around Azure-based event-driven functional microservices. Over the last several months, we've schooled ourselves on what works and what doesn't for F# and microservices. This session will walk you through the lessons we have learned on our way to developing our platform.
This document provides an introduction and overview of key AWS services, including:
- Infrastructure as a Service (IaaS) offerings like EC2, EBS, S3, and regions/availability zones.
- Platform as a Service (PaaS) like RDS, DynamoDB, Lambda, and analytics services.
- Software as a Service (SaaS) examples.
It discusses architecture principles of availability, fault tolerance, and scalability that AWS supports. Brief histories of AWS and its evolution are also presented.
Presentation given to NashJS (http://meetup.com/nashjs) on 6/14/2018 about serverless architecture in AWS using the Serverless framework (http://serverless.com).
Docker containers are an excellent solution to many problems: they can greatly simplify your deployment process, they provide an alternative approach to configuration management, and they offer excellent consistency and portability. However, running production environments on Docker containers can be challenging and requires careful consideration of various aspects such as high availability, scalability, storage persistence and more. In this webinar we will address some of the prominent issues you might encounter when designing Docker-based production environments on AWS, and present possible solutions to these issues.
Serverless APIs with JavaScript - Matt Searle - ChocPandaPaul Dykes
A presentation given by Scott Logic's Matt Searle at the JS Roundabout meetup in London on 9 July 2019, providing an introduction to building serverless APIs in JavaScript, with some tools, tips and best practices for getting started in this new environment.
2016 - Serverless Microservices on AWS with API Gateway and Lambdadevopsdaysaustin
Presentation by Matt Barlow
Someone just gave you an idea for a new microservice. How quickly can you build it?
Using Swagger, API Gateway, and Lambda, we'll go from idea to HTTP response with just a few edits. We'll look at how Swagger can auto generate our API Gateway service, docs, client libraries, monitors, and tests, saving us a ton of work. We'll make code changes, version them in Lambda, and evaluate them with curl or Postman in seconds.
This document provides an overview of a workshop on running Kubernetes on AWS. It outlines the prerequisites including installing Git, AWS CLI, kubectl, and cloning a GitHub repository. The workshop will cover basic Kubernetes concepts like pods, labels, replication controllers, deployments and services. It will demonstrate how to build a Kubernetes cluster on AWS using CloudFormation for infrastructure as code. Hands-on portions will include deploying containers, creating services, and observing the cluster architecture and networking. Additional topics are cluster add-ons like Kubernetes Dashboard and DNS, deploying applications, and cleaning up resources.
The document discusses serverless architectures using AWS Lambda and Amazon Kinesis. It describes how DAZN uses a serverless-first approach with services like API Gateway, SQS, SNS, Step Functions, and Kinesis. It provides examples of using Kinesis as a task queue, transaction log, and for building analytics pipelines. It also covers best practices for streaming data, security, observability, and challenges of building distributed systems with streams.
Peter Salnikov discusses continuous integration and continuous delivery (CI/CD) workflows in AWS using CodePipeline, CodeBuild, and CodeDeploy. CodePipeline can be used to automate multi-stage pipelines including source control, building, testing, and deploying serverless applications. CodeBuild is used to build and test Lambda functions. CodeDeploy is then used to deploy updated Lambda functions and API Gateway/DynamoDB resources by updating CloudFormation stacks.
Open stack ocata summit enabling aws lambda-like functionality with openstac...Shaun Murakami
Presentation delivered at the OpenStack summit Barcelona 2016.
https://www.openstack.org/videos/video/enabling-aws-s3-lambda-like-functionality-with-openstack-swift-and-openwhisk
Does the concept of server-less architecture intrigue you? OpenWhisk (https://git.io/vKeu3) accelerates innovation through creative chaining of microservices into highly scalable applications. By abstracting away infrastructure, OpenWhisk frees small teams to rapidly work on independent pieces of code simultaneously, keeping development focused solely on creating essential business logic. OpenWhisk allows you to create rules to connect events with actions and compose microservices that get executed independently and in parallel.
With a bit of code, you can have OpenWhisk process events from your Swift Object Storage; similar to what you can do with Lambda functions and AWS S3 storage. As an example, we will demonstrate how you can create an OpenWhisk action to transform an image into a thumbnail whenever a new (larger) image is uploaded into a Swift Container.
Ever since the “CloudNative revolution” took over our development environment (devenv), we have never been more challenged (or more excited). With Kubernetes, Docker (Containerd) & many other microservice-related technologies, we have a handful of technologies to master before we write the first line of code.
This document provides an overview and summary of DevOps, microservices, and serverless architecture. It discusses key concepts like DevOps and how it relates to software delivery. Microservices and their rise in popularity for building loosely coupled services. Serverless architecture and how it abstracts away infrastructure management. It also summarizes different AWS services that can be used to build microservices and serverless applications, like ECS, Lambda, API Gateway, and provides examples of architectures using these services.
Quick introduction to Apache OpenWhisk, an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications.
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
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.
Talk @ API Days Paris, 13/12/2016
Simplifying development and deployment of serverless applications with Open Source frameworks and tools: Serverless, Gordon, Chalice, etc.
An introduction to serverless architectures (February 2017)Julien SIMON
An introduction to serverless
AWS Lambda
Amazon API Gateway
Demo: writing your first Lambda function
Demo: building a serverless pipeline
Additional resources
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.
Webinar: Serverless Architectures with AWS Lambda and MongoDB AtlasMongoDB
It’s easier than ever to power serverless architectures with our managed MongoDB as a service, MongoDB Atlas. In this session, we will explore the rise of serverless architectures and how they’ve rapidly integrated into public and private cloud offerings.
The document summarizes James Beswick's presentation on AWS re:Invent 2020 recaps for the ServerlessToronto meetup group. It highlights several new features from re:Invent including Lambda extensions and container image support, larger Lambda functions with more memory and CPUs, and other service releases. It also lists some on-demand sessions from re:Invent on serverless topics. Beswick thanks the attendees and invites them to join the ServerlessToronto community.
Aws lambda and accesing AWS RDS - ClouddictiveClouddictive
Implement a Lambda function which integrates with RDS. How to implement this new function in Java using Spring Framework.
1) Setup RDS instance
2) Implement RequestHandler in java
4) Create lambda function
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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Procedural Animation: Field Driver tag for procedural animation.
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Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
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Adobe Master Collection CC (Creative Cloud) is a comprehensive subscription-based package that bundles virtually all of Adobe's creative software applications. It provides access to a wide range of tools for graphic design, video editing, web development, photography, and more. Essentially, it's a one-stop-shop for creatives needing a broad set of professional tools.
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The Master Collection includes apps like Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, Audition, and many others.
Subscription-based:
You pay a recurring fee for access to the latest versions of all the software, including new features and updates.
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Adobe Photoshop: For image editing and manipulation.
Adobe Illustrator: For vector graphics and illustration.
Adobe InDesign: For page layout and desktop publishing.
Adobe Premiere Pro: For video editing and post-production.
Adobe After Effects: For visual effects and motion graphics.
Adobe Audition: For audio editing and mixing.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
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Pixologic ZBrush, now developed by Maxon, is a premier digital sculpting and painting software renowned for its ability to create highly detailed 3D models. Utilizing a unique "pixol" technology, ZBrush stores depth, lighting, and material information for each point on the screen, allowing artists to sculpt and paint with remarkable precision .
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
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Aws Lambda in Swift - NSLondon - 3rd December 2020
1. AWS Lambda in Swift
Andrea Scuderi - Lead iOS @ Shpock
@andreascuderi13
NSLondon - 3rd of December 2020
2. AWS Lambda in Swift
Agenda
• What is a Lambda?
• How can I code a Lambda with Swift?
• Development Tools
• Building Tools
• Deployment Tools
• Introduction to a Serverless REST API in Swift
4. HW, VM, Container vs Serverless
What are the advantages of it?
λServers Virtual Machines Containers
Function as a Service
FaaS
Abstraction LevelHW SW
5. HW, VM, Container vs Serverless
What are the advantages of it?
λServers Virtual Machines Containers
Function as a Service
FaaS
Deployment SpeedDays μs (micro-seconds)
6. HW, VM, Container vs Serverless
What are the advantages of it?
λServers Virtual Machines Containers
Function as a Service
FaaS
ScalabilitySPoF
(Single Point of Failure)
Auto-Scaling
7. HW, VM, Container vs Serverless
What are the advantages of it?
λServers Virtual Machines Containers
Function as a Service
FaaS
Business ModelPay Upfront Pay Per Use
14. Hello World
Add your code to main.swift
import AWSLambdaRuntime
struct Request: Codable {
let name: String
}
struct Response: Codable {
let message: String
}
Lambda.run { (context, request: Request, callback: @escaping (Result<Response, Error>) -> Void) in
let response = Response(message: "Hello!: (request.name)")
callback(.success(response))
}
15. Hello World
Run your Lambda locally
> export LOCAL_LAMBDA_SERVER_ENABLED=tru
e
> swift run HelloWorldLambd
a
> curl --location --request POST 'http://localhost:7000/invoke'
--header 'Content-Type: text/plain'
--data-raw '
{
"name": "Andrea
"
}
'
{"message":"Hello!: Andrea"
}
16. Apple - Swift NIO
https://github.com/apple/swift-nio
• SwiftNIO - NIO == non-blocking I/O
• cross-platform
• asynchronous event-driven network application framework
• for rapid development of maintainable high performance protocol servers &
clients.
• Low level framework
• use-cases: where"thread-per-connection" model of concurrency is inef
f
icient or
untenable.
• Is the fundamental part of most of the Server Side Swift frameworks
17. Apple - Swift NIO
https://github.com/apple/swift-nio
• EventLoop:
• The event loop is an object that waits for events (usually I/O) to happen and then
f
ires
some kind of callback when they do.
• EventLoopFuture<T>:
• manage operations that complete asynchronously.
• a container for the return value of a function that will be populated at some time in the
future
• EventLoopPromise<T>:
• Each EventLoopFuture<T> has a corresponding EventLoopPromise<T>, which is the object
that the result will be put into. When the promise is succeeded, the future will be ful
f
illed.
18. HTTPSLambda
Swift NIO + AsyncHTTPClient
import AWSLambdaRuntime
import AsyncHTTPClient
import NIO
struct Event: Codable {
let url: String
}
struct Response: Codable {
let content: String
}
struct HTTPSLambda: EventLoopLambdaHandler {
// MARK: - In & Out
typealias In = Event
typealias Out = Response
// MARK: - Lambda Handler
func handle(context: Lambda.Context, event: Event) -> EventLoopFuture<Response> {
guard let request = try? HTTPClient.Request(url: event.url) else {
return context.eventLoop.makeFailedFuture(LambdaError.invalidRequest)
}
return httpClient.execute(request: request, deadline: nil)
.flatMapThrowing { (response) throws -> String in
guard let body: ByteBuffer = response.body,
let value: String = body.getString(at: 0, length: body.readableBytes) else {
throw LambdaError.invalidContent
}
return value
}.map { content -> Response in
return Response(content: content)
}
}
> git clone https://github.com/Andrea-Scuderi/HelloWorldLambda
19. HTTPSLambda
Swift NIO + AsyncHTTPClient
// MARK: - HTTPClient Configuration
let httpClient: HTTPClient
static let lambdaRuntimeTimeout: TimeAmount = .seconds(30)
static let timeout = HTTPClient.Configuration.Timeout(
connect: lambdaRuntimeTimeout,
read: lambdaRuntimeTimeout
)
static let configuration = HTTPClient.Configuration(timeout: timeout)
// MARK: - LambdaError
enum LambdaError: Error {
case invalidRequest
case invalidContent
}
// MARK: - Init
init(context: Lambda.InitializationContext) {
// Use HTTPClient on the same EventLoop used by AWSLambda
self.httpClient = HTTPClient(
eventLoopGroupProvider: .shared(context.eventLoop),
configuration: HTTPSLambda.configuration
)
}
}
Lambda.run(HTTPSLambda.init)
20. AWS Lambda Swift Runtime
Lambda Architecture & Building pipeline
User Lambda Swift Code
AWS Lambda Swift Runtime
bootstrap
Swift Libraries for Runtime
swift:5.3-amazonlinux2
❌
To run the Lambda on AWS we need:
- build the binary for Amazon Linux 2
- copy all the Swift runtime libraries required
in the zip bundle
21. AWS Lambda in Swift
Development Tools
Code
Build+
Deploy
Swift Amazon Linux 2
Swift 5.x
22. Build AWS Lambda in Swift
• Requirements: Docker Desktop, Bash
> git clone https://github.com/Andrea-Scuderi/HelloWorldLambd
a
> cd HelloWorldLambd
a
> ./scripts/build-and-package.sh HelloWorldLambd
a
> ls .build/lambda/HelloWorldLambda/lambda.zi
p
swift:5.3-amazonlinux2
23. AWS Lambda Deployment tools
Pick your favourite…, mine is Serverless framework
• AWS Management Console (manual upload)
• AWS CLI - Command line interface (Scripting)
• AWS CloudFormation: Infrastructure as code
• AWS SAM Serverless Application Model: deployment tool
• Serverless: Cloud Agnostic Multiplatform deployment tool
• ….
24. Deploy AWS Lambda in Swift
After you have created your account on AWS, you need to install:
• AWS CLI: https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2-
mac.html
• Serverless framework:
> curl -o- -L https://slss.io/install | bas
h
> ./scripts/serverless-deploy.s
h
28. REST API
AWS Serverless Architecture
• API Gateway
• Lambda
• Create
• Read
• Update
• Delete
• List
• DynamoDB
29. AWS Serverless Swift API Template
Full working Demo
• https://github.com/swift-sprinter/aws-serverless-swift-api-template
• `Product` demo API in Swift
• Use SOTO Library (AWS SDK for Swift)
• YAML template for Serverless
• Deployments Scripts
30. Question Time
Tanks for listening
• Follow me!
• Twitter: @andreascuderi13
• Linkedin: https://www.linkedin.com/in/andreascuderi/
• Medium: https://medium.com/@andreascuderi73