Originally presented at AWS User Group Bandung, Indonesia. In this session, let's learn how to use AWS Lambda layers and Lambda Runtimes. Including live demo(s) on how to build your own custom runtime and usage of Lambda layers.
Introduce AWS Lambda for newbie and Non-IT
อธิบาย ความเป็นมาของ Serverless และ AWS Lambda คืออะไร ดีอย่างไร เพื่อให้คนไม่รู้จักและคนที่ไม่ใช่ IT ได้เข้าใจง่ายๆ
Index
- What's Serverless
- What's AWS Lambda
- Working with AWS Lambda
- AWS Lambda Life-Cycle
- AWS Lambda Anatomy
- Beware Cold Start
- How to debug
- Do and Don't to implement
- Pricing structure and example
- Advantage/Disadvantage
Presentation is English Version
Blog is Thai Version : https://myifew.com/5166/understand-serverless-with-aws-lambda-for-newbie/
AWS Lambda is Amazon's serverless computing platform that allows you to run code without provisioning or managing servers. Code is run in response to events and AWS automatically manages the computing resources. Key advantages are only paying for the compute time used and not having to manage servers. Lambda supports Node.js, Python, Java, and C# and functions can be triggered by events from services like S3, DynamoDB, and API Gateway. Functions are configured and coded within the Lambda management console. Pricing is based on number of requests and compute time used, with the first million requests and 400,000 GB-seconds of compute time being free each month.
AWS Lambda is a computing service that allows you to run the prepared codes without the necessity of managing or provisioning servers. Lambda is destined to run your code only when it is highly needed and further scales it automatically. AWS Lambda allows you to run the codes virtually for almost all types of applications and back-end services. Along with that, it performs all of the administration operations such as computing the resources, OS maintenance, server maintenance, automatic scaling, capacity provisioning, code monitoring, and others. The only thing you need to do is put up your code in a Lambda understandable language. AWS Lambda is chargeable, and it bills you for the compute time consumed by you and does not charge you anything while your code is stationary.
To read further please visit https://www.whizlabs.com/blog/what-is-aws-lambda/
The document discusses architecting applications for the cloud, focusing on Amazon Web Services (AWS). It outlines the business benefits of cloud computing like lower costs, flexibility, and efficiency. It also describes the technical benefits like automation, scaling, and disaster recovery. The document then provides an overview of key AWS services like EC2, S3, CloudWatch, and Elastic Load Balancing and how they can be used to build scalable cloud applications.
Lambda Deployer is a Lambda function that automates continuous deployment of other Lambda functions to AWS. It packages functions, uploads code to S3, creates/updates Lambda functions and aliases. This allows developers to focus on code while Lambda Deployer handles releasing updates across many functions and stages. At KKStream, 12 developers used it to deploy 99 functions 4288 times with only 1 failed deployment.
AWS Lambda is considered to be a proficient serverless computing service that allows you to run your code for managing servers and containers. The scaling under AWS Lambda is done automatically by measuring the work intensity integrated onto it. There are several use cases to AWS Lambda that define its prime efficacy of executing code within the AWS cloud. Even though AWS Lambda is meant to be used within the cloud, local development attributes can also use it for diverse development needs. For further reading please visit https://www.whizlabs.com/blog/use-of-aws-lambda/
Amazon has proved its might in the field of offering diverse cloud services and has excelled in almost all scenarios to date. Amazon EC2 came into play in 2006 and has gained immense popularity since then. But, along with that, AWS Lambda is also a popular service that came out in 2014 and is now walking side-to-side with EC2 in terms of popularity and adaptation.
To know the major differences between AWS Lambda and CE2 please visit https://www.whizlabs.com/blog/aws-lambda-vs-ec2/
This document provides a tutorial on AWS Lambda. It begins by defining AWS Lambda as a computing service that runs code without servers. It then lists key features like custom logic integration, fault tolerance, RDS proxy support, provisioned concurrency, and Step Functions workflow support. The document outlines the steps to create, upload, and invoke an AWS Lambda function using the Eclipse toolkit, including creating a project, uploading the code to AWS, and invoking the function to display output. It concludes by recommending AWS Lambda for executing application/function codes and providing an informative guide.
Lambda is AWS's serverless compute service that allows you to run code without managing servers. With Lambda, you upload your code and AWS handles provisioning servers, scaling capacity automatically, and maintaining the servers. You are charged by the number of requests and amount of compute time used. Lambda functions can be triggered by various AWS services and events. It provides scaling and high availability without needing to manage servers or capacity planning.
This document summarizes AWS Lambda and API Gateway. It discusses that Lambda allows developing microservice functions in a serverless environment with no server management needed and very low costs. API Gateway provides an interface for HTTP APIs and integrates with Lambda. While Lambda and API Gateway are easy to use and scale automatically with no servers to manage, there are some limitations and restrictions to consider like package size limits, processing time restrictions, and limited Node.js version support in Lambda. Testing APIs locally can also be challenging when using AWS services.
This presentation will give information about What is Serverless? What service is exposed by AWS to support Function as a Service. Lambda is AWS service which support serverless.
AWS Lambda is a serverless compute service that runs code in response to events. It allows uploading code that can be run without having to manage infrastructure. Lambda manages capacity, scaling, monitoring, logging and security patching. Events from over 15 AWS services can trigger Lambda functions. Examples include S3 bucket uploads, DynamoDB changes, and API Gateway requests. Lambda functions support Node.js, Java, Python and C# and can be used to build automated workflows like resizing images or integrating apps. It offers 300 seconds of compute time per function for free each month.
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Data storage has been considered a real problem within IT enterprises in the present era. But, with the introduction of AWS cloud, data storage problems seem to soon get eradicated completely. Thus, it is quite important for people to gain insight into the Amazon Elastic Block Storage and Balancer and its attributes before they can take concern upon implementing it.
To know more please visit https://www.whizlabs.com/blog/amazon-elastic-block-storage-and-balancer/
This document discusses serverless architectures using AWS Lambda. It provides an overview of serverless computing and AWS Lambda, outlines some common use cases and challenges at OpsGenie, and describes their serverless technology stack. Some key points include:
- AWS Lambda allows running code without managing servers and only paying for the compute time used
- OpsGenie uses AWS Lambda along with other serverless AWS services like DynamoDB, S3, and API Gateway for various use cases including reporting, indexing data to Elasticsearch, and a service management pilot
- Challenges of using serverless include Java cold starts, proper monitoring without agents, and deployment processes
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 Tutorial For Beginners | What is AWS Lambda? | AWS Tutorial For Be...Simplilearn
This AWS Lambda Tutorial will help you understand what is AWS Lambda, why do we use AWS Lambda, how does AWS Lambda work, AWS Lambda concepts such as requests, containers and backups along with a demo on Backing up data on AWS S3 using AWS Lambda. AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. Now, let us deep dive into this presentation and understand what AWS Lambda actually is.
Below topics are explained in this AWS Lambda Tutorial:
1. Features of AWS Lambda
2. What is AWS Lambda?
3. Where is AWS Lambda used?
4. Use Case - Backing up data in S3 using AWS Lambda
This AWS certification training is designed to help you gain the in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready AWS certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com/
This document provides an introduction to Amazon Web Services (AWS) and AWS Lambda. It begins with an overview of cloud computing and an explanation of what AWS is and its core services. It then discusses AWS Lambda in more detail, describing it as a serverless computing service that allows users to run code without provisioning or managing servers. The document outlines benefits of AWS Lambda like scaling, availability, and low cost. It also provides examples of common use cases for Lambda and demonstrates its capabilities through an example application.
This AWS Lambda tutorial shall give you a clear understanding as to how a serverless compute service works. Towards the end, we will also create a full fledged project using AWS Lambda. Below are the topics covered in this tutorial:
1. AWS Compute Domain
2. Why AWS Lambda?
3. What is AWS Lambda?
4. AWS SDKs
5. Using AWS Lambda with Eclipse IDE
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
Slides for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
Wildrydes Serverless Workshop Tel AvivBoaz Ziniman
This document summarizes a serverless computing workshop on building a web application called Wild Rydes. The workshop will provide an overview of serverless computing and AWS services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. Attendees will complete four labs to build components of the application, including hosting a static website on S3, managing user registration with Cognito, creating a backend with Lambda and DynamoDB, and building a REST API with API Gateway.
Ci/CD for AWS Lambda Projects - JLM CTO ClubBoaz Ziniman
Lambda projects can grown really fast from a small POC using one or two functions, to huge projects, with dozens of functions, creating new and unique challenges to manage.
This session will focus on the unique challenges with managing Lambda projects and integrating them into CI/CD pipelines.
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to a serverless model using AWS services like Lambda, API Gateway, and others. It then covers the AWS Serverless Application Model (SAM) for defining serverless applications through CloudFormation templates. Finally, it discusses infrastructure as code (IaC) and how tools like CloudFormation can be used to manage resources on AWS.
AWS SAM(Serverless Application Model) 을 이용한 백오피스 마이그레이션 (현창훈, HBSmith) :: AWS...Amazon Web Services Korea
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to serverless, including using AWS SAM and Serverless Express to deploy Node.js apps as Lambda functions. It also discusses using Infrastructure as Code with tools like CloudFormation to manage serverless resources. The document concludes with information about AWS SAM, serverless databases, and using IaC to implement continuous delivery of serverless applications.
All the Ops you need to know to Dev ServerlessChris Munns
Serverless application development has significantly changed the way that developers are building applications. One of the biggest challenges out there is understanding the operational aspects of this new world without the need to manage servers and operating systems, but still being responsible for availability and performance. What does it mean to have a 100% available system that can’t be monitored for uptime? How should you think about networking in an application where services are invoked via a managed API? If your application is idle for long periods of time, what should your operational dashboards show? I’ll address these questions as well as other common operational duties so that you’ll know, what you’ll need to know.
In this talk I'll cover the basics of operational duties and tasks that are important for serverless applications. As this is often a confusing topic for developers my aim is to de-mystify some of this and provide some good starting points and a few advanced topics/tricks.
CI/CD for AWS Lambda Projects - IsraelCloud MeetupBoaz Ziniman
AWS Code services provide an easy way to build and operate a CI/CD pipeline for serverless apps.
In this session, we will cover the different AWS code services (CodeCommit, CodeBuild, CodeDeploy, CodePipeline and CodeStar) and the integration of these tools into your Lambda project.
This document discusses building an image classification model using Amazon SageMaker and deploying it via an API Gateway and Lambda function. Key steps include:
1. Developing a Python Lambda function to preprocess images from API requests and call a SageMaker endpoint for predictions.
2. Creating an IAM role for the Lambda function to access SageMaker.
3. Building and deploying the SageMaker model.
4. Configuring API Gateway to invoke the Lambda function via a REST API, with the Lambda function returning classification results.
This allows building and deploying a machine learning model on SageMaker and serving predictions through a serverless API for image classification.
Lambda is AWS's serverless compute service that allows you to run code without managing servers. With Lambda, you upload your code and AWS handles provisioning servers, scaling capacity automatically, and maintaining the servers. You are charged by the number of requests and amount of compute time used. Lambda functions can be triggered by various AWS services and events. It provides scaling and high availability without needing to manage servers or capacity planning.
This document summarizes AWS Lambda and API Gateway. It discusses that Lambda allows developing microservice functions in a serverless environment with no server management needed and very low costs. API Gateway provides an interface for HTTP APIs and integrates with Lambda. While Lambda and API Gateway are easy to use and scale automatically with no servers to manage, there are some limitations and restrictions to consider like package size limits, processing time restrictions, and limited Node.js version support in Lambda. Testing APIs locally can also be challenging when using AWS services.
This presentation will give information about What is Serverless? What service is exposed by AWS to support Function as a Service. Lambda is AWS service which support serverless.
AWS Lambda is a serverless compute service that runs code in response to events. It allows uploading code that can be run without having to manage infrastructure. Lambda manages capacity, scaling, monitoring, logging and security patching. Events from over 15 AWS services can trigger Lambda functions. Examples include S3 bucket uploads, DynamoDB changes, and API Gateway requests. Lambda functions support Node.js, Java, Python and C# and can be used to build automated workflows like resizing images or integrating apps. It offers 300 seconds of compute time per function for free each month.
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Data storage has been considered a real problem within IT enterprises in the present era. But, with the introduction of AWS cloud, data storage problems seem to soon get eradicated completely. Thus, it is quite important for people to gain insight into the Amazon Elastic Block Storage and Balancer and its attributes before they can take concern upon implementing it.
To know more please visit https://www.whizlabs.com/blog/amazon-elastic-block-storage-and-balancer/
This document discusses serverless architectures using AWS Lambda. It provides an overview of serverless computing and AWS Lambda, outlines some common use cases and challenges at OpsGenie, and describes their serverless technology stack. Some key points include:
- AWS Lambda allows running code without managing servers and only paying for the compute time used
- OpsGenie uses AWS Lambda along with other serverless AWS services like DynamoDB, S3, and API Gateway for various use cases including reporting, indexing data to Elasticsearch, and a service management pilot
- Challenges of using serverless include Java cold starts, proper monitoring without agents, and deployment processes
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 Tutorial For Beginners | What is AWS Lambda? | AWS Tutorial For Be...Simplilearn
This AWS Lambda Tutorial will help you understand what is AWS Lambda, why do we use AWS Lambda, how does AWS Lambda work, AWS Lambda concepts such as requests, containers and backups along with a demo on Backing up data on AWS S3 using AWS Lambda. AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. Now, let us deep dive into this presentation and understand what AWS Lambda actually is.
Below topics are explained in this AWS Lambda Tutorial:
1. Features of AWS Lambda
2. What is AWS Lambda?
3. Where is AWS Lambda used?
4. Use Case - Backing up data in S3 using AWS Lambda
This AWS certification training is designed to help you gain the in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready AWS certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com/
This document provides an introduction to Amazon Web Services (AWS) and AWS Lambda. It begins with an overview of cloud computing and an explanation of what AWS is and its core services. It then discusses AWS Lambda in more detail, describing it as a serverless computing service that allows users to run code without provisioning or managing servers. The document outlines benefits of AWS Lambda like scaling, availability, and low cost. It also provides examples of common use cases for Lambda and demonstrates its capabilities through an example application.
This AWS Lambda tutorial shall give you a clear understanding as to how a serverless compute service works. Towards the end, we will also create a full fledged project using AWS Lambda. Below are the topics covered in this tutorial:
1. AWS Compute Domain
2. Why AWS Lambda?
3. What is AWS Lambda?
4. AWS SDKs
5. Using AWS Lambda with Eclipse IDE
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
Slides for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
Wildrydes Serverless Workshop Tel AvivBoaz Ziniman
This document summarizes a serverless computing workshop on building a web application called Wild Rydes. The workshop will provide an overview of serverless computing and AWS services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Cognito, and Amazon S3. Attendees will complete four labs to build components of the application, including hosting a static website on S3, managing user registration with Cognito, creating a backend with Lambda and DynamoDB, and building a REST API with API Gateway.
Ci/CD for AWS Lambda Projects - JLM CTO ClubBoaz Ziniman
Lambda projects can grown really fast from a small POC using one or two functions, to huge projects, with dozens of functions, creating new and unique challenges to manage.
This session will focus on the unique challenges with managing Lambda projects and integrating them into CI/CD pipelines.
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to a serverless model using AWS services like Lambda, API Gateway, and others. It then covers the AWS Serverless Application Model (SAM) for defining serverless applications through CloudFormation templates. Finally, it discusses infrastructure as code (IaC) and how tools like CloudFormation can be used to manage resources on AWS.
AWS SAM(Serverless Application Model) 을 이용한 백오피스 마이그레이션 (현창훈, HBSmith) :: AWS...Amazon Web Services Korea
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to serverless, including using AWS SAM and Serverless Express to deploy Node.js apps as Lambda functions. It also discusses using Infrastructure as Code with tools like CloudFormation to manage serverless resources. The document concludes with information about AWS SAM, serverless databases, and using IaC to implement continuous delivery of serverless applications.
All the Ops you need to know to Dev ServerlessChris Munns
Serverless application development has significantly changed the way that developers are building applications. One of the biggest challenges out there is understanding the operational aspects of this new world without the need to manage servers and operating systems, but still being responsible for availability and performance. What does it mean to have a 100% available system that can’t be monitored for uptime? How should you think about networking in an application where services are invoked via a managed API? If your application is idle for long periods of time, what should your operational dashboards show? I’ll address these questions as well as other common operational duties so that you’ll know, what you’ll need to know.
In this talk I'll cover the basics of operational duties and tasks that are important for serverless applications. As this is often a confusing topic for developers my aim is to de-mystify some of this and provide some good starting points and a few advanced topics/tricks.
CI/CD for AWS Lambda Projects - IsraelCloud MeetupBoaz Ziniman
AWS Code services provide an easy way to build and operate a CI/CD pipeline for serverless apps.
In this session, we will cover the different AWS code services (CodeCommit, CodeBuild, CodeDeploy, CodePipeline and CodeStar) and the integration of these tools into your Lambda project.
This document discusses building an image classification model using Amazon SageMaker and deploying it via an API Gateway and Lambda function. Key steps include:
1. Developing a Python Lambda function to preprocess images from API requests and call a SageMaker endpoint for predictions.
2. Creating an IAM role for the Lambda function to access SageMaker.
3. Building and deploying the SageMaker model.
4. Configuring API Gateway to invoke the Lambda function via a REST API, with the Lambda function returning classification results.
This allows building and deploying a machine learning model on SageMaker and serving predictions through a serverless API for image classification.
Gluecon 2018 - The Best Practices and Hard Lessons Learned of Serverless Appl...Chris Munns
In November 2014, AWS Lambda introduced developers to serverless compute with automatic scaling, pay-per-request billing, and built-in high availability. As a result, startups and enterprises are changing the way they build their applications. Since then, we've learned a lot from our customers about what it takes to build successful serverless applications. We’ve also seen some common and not so common missteps that developers building serverless applications have made along the way. Today, we're going to share those learnings, and show you how you can build the best serverless application that you can.
Serverless use cases with AWS Lambda - More Serverless EventBoaz Ziniman
AWS Lambda allows you to run you code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how can we AWS Lambda to build smarter and better systems.
APIs are changing the way that developers build their applications, from simple websites and mobile apps to Internet of Things applications. At the same time, many developers are moving away from traditional monolithic application architectures to creating smaller microservices, each with its own API. Building microservices has benefits like increased speed to market, reduced potential for errors when deploying updates, and greater flexibility in application design. In this session, we’ll talk about how you can get started building API-based microservices by using Amazon API Gateway. We’ll cover API Gateway’s core features, including how it can help you create standardized APIs and its authentication and authorization features. By the end, you’ll have a foundation for how you can build public or private APIs for backends running on server-based or container-based applications and serverless applications.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Application Modernization using the Strangler PatternTom Laszewski
Modernization of applications on mainframe and UNIX servers can be challenging because the applications and databases are highly integrated and interdependent. Utilizing the strangler pattern, organizations can break free of legacy debt on mainframe and UNIX systems. This presentations discusses the strangler pattern, and how enterprise customers utilized the pattern to move to AWS serverless services and cloud native architectures.
Modern Applications Web Day | Impress Your Friends with Your First Serverless...AWS Germany
"Build and run applications without thinking about servers". You want it? You get it! We will start this session with a motivation why serverless applications are a thing. Once we got there, we will actually start building one, of course with making use of a serverless CI/CD pipeline. After we will have looked into how we can still test it locally, we shall also dive into analyzing and debugging our app - of course in a serverless manner.
Speaker: Dirk Fröhner, Senior Solutions Architect, AWS
This document discusses infrastructure as code using the AWS Cloud Development Kit (CDK). It begins by describing manual infrastructure creation and then imperative and declarative infrastructure as code approaches. It introduces the CDK, which allows defining infrastructure in familiar programming languages like JavaScript. With the CDK, constructs can be used to provision many underlying AWS resources with a single class, making infrastructure definition more abstract and code-like.
Modern Application Development for StartupsDonnie Prakoso
Startups are increasingly building products that are heavily influenced by technology and to be more competitive, startups must create better products by increasing agility. Modern application development is an approach to increase the agility of your teams and the reliability, security, and scalability of your applications. Join us in this session to understand fundamental aspects for your startup to do rapid innovation.
Operating Microservices at Hyperscale — Tech in Asia PDC 2019Donnie Prakoso
Presented at Tech in Asia PDC 2019 in Jakarta.
Most developers today are adopting a microservices based application design. Microservices can provide higher system reliability, fine-grained scalability, and faster development cycles. At hyperscale (thousands to millions of requests per second), however, additional thought, careful design, and greater operational rigor are required. In this session, learn fundamental design principles and best practices for hyperscale applications.
Learn how AWS services for containers take the pain out of managing infrastructure, and best practices for developing new services rapidly while running them at scale.
Serverless Text Analytics with Amazon ComprehendDonnie Prakoso
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
This deck provides how to build your own text analytics using Amazon Comprehend and integration with other AWS services. On top of that, this deck also provides an introduction to Amazon Lex.
Building Serverless Microservices with AWSDonnie Prakoso
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features.
For those who are building microservices, this deck provides you a guideline on what AWS services you can use to build microservices, starting from development, deployment tools to coordination.
Design, Build, and Modernize Your Web Applications with AWSDonnie Prakoso
Cloud makes it super easy for you to spin off your desired IT resources. But, the true value of cloud lies in its capability to provide you a set of building blocks for your applications. Join us in this hands-on session to understand how to use Amazon Virtual Private Cloud (VPC) and Amazon Elastic Compute Cloud (EC2) along with Amazon EC2 Auto Scaling and Elastic Load Balancer to design your scalable architecture and build your applications in no time. Moreover, we will discover how to modernize your application with the help of our serverless service AWS Lambda.
Improving Developer Productivity With DORA, SPACE, and DevExJustin Reock
Ready to measure and improve developer productivity in your organization?
Join Justin Reock, Deputy CTO at DX, for an interactive session where you'll learn actionable strategies to measure and increase engineering performance.
Leave this session equipped with a comprehensive understanding of developer productivity and a roadmap to create a high-performing engineering team in your company.
Multistream in SIP and NoSIP @ OpenSIPS Summit 2025Lorenzo Miniero
Slides for my "Multistream support in the Janus SIP and NoSIP plugins" presentation at the OpenSIPS Summit 2025 event.
They describe my efforts refactoring the Janus SIP and NoSIP plugins to allow for the gatewaying of an arbitrary number of audio/video streams per call (thus breaking the current 1-audio/1-video limitation), plus some additional considerations on what this could mean when dealing with application protocols negotiated via SIP as well.
Agentic AI - The New Era of IntelligenceMuzammil Shah
This presentation is specifically designed to introduce final-year university students to the foundational principles of Agentic Artificial Intelligence (AI). It aims to provide a clear understanding of how Agentic AI systems function, their key components, and the underlying technologies that empower them. By exploring real-world applications and emerging trends, the session will equip students with essential knowledge to engage with this rapidly evolving area of AI, preparing them for further study or professional work in the field.
Data Virtualization: Bringing the Power of FME to Any ApplicationSafe Software
Imagine building web applications or dashboards on top of all your systems. With FME’s new Data Virtualization feature, you can deliver the full CRUD (create, read, update, and delete) capabilities on top of all your data that exploit the full power of FME’s all data, any AI capabilities. Data Virtualization enables you to build OpenAPI compliant API endpoints using FME Form’s no-code development platform.
In this webinar, you’ll see how easy it is to turn complex data into real-time, usable REST API based services. We’ll walk through a real example of building a map-based app using FME’s Data Virtualization, and show you how to get started in your own environment – no dev team required.
What you’ll take away:
-How to build live applications and dashboards with federated data
-Ways to control what’s exposed: filter, transform, and secure responses
-How to scale access with caching, asynchronous web call support, with API endpoint level security.
-Where this fits in your stack: from web apps, to AI, to automation
Whether you’re building internal tools, public portals, or powering automation – this webinar is your starting point to real-time data delivery.
Jeremy Millul - A Talented Software DeveloperJeremy Millul
Jeremy Millul is a talented software developer based in NYC, known for leading impactful projects such as a Community Engagement Platform and a Hiking Trail Finder. Using React, MongoDB, and geolocation tools, Jeremy delivers intuitive applications that foster engagement and usability. A graduate of NYU’s Computer Science program, he brings creativity and technical expertise to every project, ensuring seamless user experiences and meaningful results in software development.
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld
Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.
As data privacy regulations become more pervasive across the globe and organizations increasingly handle and transfer (including across borders) meaningful volumes of personal and confidential information, the need for robust contracts to be in place is more important than ever.
This webinar will provide a deep dive into privacy contracting, covering essential terms and concepts, negotiation strategies, and key practices for managing data privacy risks.
Whether you're in legal, privacy, security, compliance, GRC, procurement, or otherwise, this session will include actionable insights and practical strategies to help you enhance your agreements, reduce risk, and enable your business to move fast while protecting itself.
This webinar will review key aspects and considerations in privacy contracting, including:
- Data processing addenda, cross-border transfer terms including EU Model Clauses/Standard Contractual Clauses, etc.
- Certain legally-required provisions (as well as how to ensure compliance with those provisions)
- Negotiation tactics and common issues
- Recent lessons from recent regulatory actions and disputes
Grannie’s Journey to Using Healthcare AI ExperiencesLauren Parr
AI offers transformative potential to enhance our long-time persona Grannie’s life, from healthcare to social connection. This session explores how UX designers can address unmet needs through AI-driven solutions, ensuring intuitive interfaces that improve safety, well-being, and meaningful interactions without overwhelming users.
UiPath Community Berlin: Studio Tips & Tricks and UiPath InsightsUiPathCommunity
Join the UiPath Community Berlin (Virtual) meetup on May 27 to discover handy Studio Tips & Tricks and get introduced to UiPath Insights. Learn how to boost your development workflow, improve efficiency, and gain visibility into your automation performance.
📕 Agenda:
- Welcome & Introductions
- UiPath Studio Tips & Tricks for Efficient Development
- Best Practices for Workflow Design
- Introduction to UiPath Insights
- Creating Dashboards & Tracking KPIs (Demo)
- Q&A and Open Discussion
Perfect for developers, analysts, and automation enthusiasts!
This session streamed live on May 27, 18:00 CET.
Check out all our upcoming UiPath Community sessions at:
👉 https://community.uipath.com/events/
Join our UiPath Community Berlin chapter:
👉 https://community.uipath.com/berlin/
Microsoft Build 2025 takeaways in one presentationDigitalmara
Microsoft Build 2025 introduced significant updates. Everything revolves around AI. DigitalMara analyzed these announcements:
• AI enhancements for Windows 11
By embedding AI capabilities directly into the OS, Microsoft is lowering the barrier for users to benefit from intelligent automation without requiring third-party tools. It's a practical step toward improving user experience, such as streamlining workflows and enhancing productivity. However, attention should be paid to data privacy, user control, and transparency of AI behavior. The implementation policy should be clear and ethical.
• GitHub Copilot coding agent
The introduction of coding agents is a meaningful step in everyday AI assistance. However, it still brings challenges. Some people compare agents with junior developers. They noted that while the agent can handle certain tasks, it often requires supervision and can introduce new issues. This innovation holds both potential and limitations. Balancing automation with human oversight is crucial to ensure quality and reliability.
• Introduction of Natural Language Web
NLWeb is a significant step toward a more natural and intuitive web experience. It can help users access content more easily and reduce reliance on traditional navigation. The open-source foundation provides developers with the flexibility to implement AI-driven interactions without rebuilding their existing platforms. NLWeb is a promising level of web interaction that complements, rather than replaces, well-designed UI.
• Introduction of Model Context Protocol
MCP provides a standardized method for connecting AI models with diverse tools and data sources. This approach simplifies the development of AI-driven applications, enhancing efficiency and scalability. Its open-source nature encourages broader adoption and collaboration within the developer community. Nevertheless, MCP can face challenges in compatibility across vendors and security in context sharing. Clear guidelines are crucial.
• Windows Subsystem for Linux is open-sourced
It's a positive step toward greater transparency and collaboration in the developer ecosystem. The community can now contribute to its evolution, helping identify issues and expand functionality faster. However, open-source software in a core system also introduces concerns around security, code quality management, and long-term maintenance. Microsoft’s continued involvement will be key to ensuring WSL remains stable and secure.
• Azure AI Foundry platform hosts Grok 3 AI models
Adding new models is a valuable expansion of AI development resources available at Azure. This provides developers with more flexibility in choosing language models that suit a range of application sizes and needs. Hosting on Azure makes access and integration easier when using Microsoft infrastructure.
Measuring Microsoft 365 Copilot and Gen AI SuccessNikki Chapple
Session | Measuring Microsoft 365 Copilot and Gen AI Success with Viva Insights and Purview
Presenter | Nikki Chapple 2 x MVP and Principal Cloud Architect at CloudWay
Event | European Collaboration Conference 2025
Format | In person Germany
Date | 28 May 2025
📊 Measuring Copilot and Gen AI Success with Viva Insights and Purview
Presented by Nikki Chapple – Microsoft 365 MVP & Principal Cloud Architect, CloudWay
How do you measure the success—and manage the risks—of Microsoft 365 Copilot and Generative AI (Gen AI)? In this ECS 2025 session, Microsoft MVP and Principal Cloud Architect Nikki Chapple explores how to go beyond basic usage metrics to gain full-spectrum visibility into AI adoption, business impact, user sentiment, and data security.
🎯 Key Topics Covered:
Microsoft 365 Copilot usage and adoption metrics
Viva Insights Copilot Analytics and Dashboard
Microsoft Purview Data Security Posture Management (DSPM) for AI
Measuring AI readiness, impact, and sentiment
Identifying and mitigating risks from third-party Gen AI tools
Shadow IT, oversharing, and compliance risks
Microsoft 365 Admin Center reports and Copilot Readiness
Power BI-based Copilot Business Impact Report (Preview)
📊 Why AI Measurement Matters: Without meaningful measurement, organizations risk operating in the dark—unable to prove ROI, identify friction points, or detect compliance violations. Nikki presents a unified framework combining quantitative metrics, qualitative insights, and risk monitoring to help organizations:
Prove ROI on AI investments
Drive responsible adoption
Protect sensitive data
Ensure compliance and governance
🔍 Tools and Reports Highlighted:
Microsoft 365 Admin Center: Copilot Overview, Usage, Readiness, Agents, Chat, and Adoption Score
Viva Insights Copilot Dashboard: Readiness, Adoption, Impact, Sentiment
Copilot Business Impact Report: Power BI integration for business outcome mapping
Microsoft Purview DSPM for AI: Discover and govern Copilot and third-party Gen AI usage
🔐 Security and Compliance Insights: Learn how to detect unsanctioned Gen AI tools like ChatGPT, Gemini, and Claude, track oversharing, and apply eDLP and Insider Risk Management (IRM) policies. Understand how to use Microsoft Purview—even without E5 Compliance—to monitor Copilot usage and protect sensitive data.
📈 Who Should Watch: This session is ideal for IT leaders, security professionals, compliance officers, and Microsoft 365 admins looking to:
Maximize the value of Microsoft Copilot
Build a secure, measurable AI strategy
Align AI usage with business goals and compliance requirements
🔗 Read the blog https://nikkichapple.com/measuring-copilot-gen-ai/
Protecting Your Sensitive Data with Microsoft Purview - IRMS 2025Nikki Chapple
Session | Protecting Your Sensitive Data with Microsoft Purview: Practical Information Protection and DLP Strategies
Presenter | Nikki Chapple (MVP| Principal Cloud Architect CloudWay) & Ryan John Murphy (Microsoft)
Event | IRMS Conference 2025
Format | Birmingham UK
Date | 18-20 May 2025
In this closing keynote session from the IRMS Conference 2025, Nikki Chapple and Ryan John Murphy deliver a compelling and practical guide to data protection, compliance, and information governance using Microsoft Purview. As organizations generate over 2 billion pieces of content daily in Microsoft 365, the need for robust data classification, sensitivity labeling, and Data Loss Prevention (DLP) has never been more urgent.
This session addresses the growing challenge of managing unstructured data, with 73% of sensitive content remaining undiscovered and unclassified. Using a mountaineering metaphor, the speakers introduce the “Secure by Default” blueprint—a four-phase maturity model designed to help organizations scale their data security journey with confidence, clarity, and control.
🔐 Key Topics and Microsoft 365 Security Features Covered:
Microsoft Purview Information Protection and DLP
Sensitivity labels, auto-labeling, and adaptive protection
Data discovery, classification, and content labeling
DLP for both labeled and unlabeled content
SharePoint Advanced Management for workspace governance
Microsoft 365 compliance center best practices
Real-world case study: reducing 42 sensitivity labels to 4 parent labels
Empowering users through training, change management, and adoption strategies
🧭 The Secure by Default Path – Microsoft Purview Maturity Model:
Foundational – Apply default sensitivity labels at content creation; train users to manage exceptions; implement DLP for labeled content.
Managed – Focus on crown jewel data; use client-side auto-labeling; apply DLP to unlabeled content; enable adaptive protection.
Optimized – Auto-label historical content; simulate and test policies; use advanced classifiers to identify sensitive data at scale.
Strategic – Conduct operational reviews; identify new labeling scenarios; implement workspace governance using SharePoint Advanced Management.
🎒 Top Takeaways for Information Management Professionals:
Start secure. Stay protected. Expand with purpose.
Simplify your sensitivity label taxonomy for better adoption.
Train your users—they are your first line of defense.
Don’t wait for perfection—start small and iterate fast.
Align your data protection strategy with business goals and regulatory requirements.
💡 Who Should Watch This Presentation?
This session is ideal for compliance officers, IT administrators, records managers, data protection officers (DPOs), security architects, and Microsoft 365 governance leads. Whether you're in the public sector, financial services, healthcare, or education.
🔗 Read the blog: https://nikkichapple.com/irms-conference-2025/
AI Emotional Actors: “When Machines Learn to Feel and Perform"AkashKumar809858
Welcome to the era of AI Emotional Actors.
The entertainment landscape is undergoing a seismic transformation. What started as motion capture and CGI enhancements has evolved into a full-blown revolution: synthetic beings not only perform but express, emote, and adapt in real time.
For reading further follow this link -
https://akash97.gumroad.com/l/meioex
Contributing to WordPress With & Without Code.pptxPatrick Lumumba
Contributing to WordPress: Making an Impact on the Test Team—With or Without Coding Skills
WordPress survives on collaboration, and the Test Team plays a very important role in ensuring the CMS is stable, user-friendly, and accessible to everyone.
This talk aims to deconstruct the myth that one has to be a developer to contribute to WordPress. In this session, I will share with the audience how to get involved with the WordPress Team, whether a coder or not.
We’ll explore practical ways to contribute, from testing new features, and patches, to reporting bugs. By the end of this talk, the audience will have the tools and confidence to make a meaningful impact on WordPress—no matter the skill set.
Create Your First AI Agent with UiPath Agent BuilderDianaGray10
Join us for an exciting virtual event where you'll learn how to create your first AI Agent using UiPath Agent Builder. This session will cover everything you need to know about what an agent is and how easy it is to create one using the powerful AI-driven UiPath platform. You'll also discover the steps to successfully publish your AI agent. This is a wonderful opportunity for beginners and enthusiasts to gain hands-on insights and kickstart their journey in AI-powered automation.
UiPath Community Zurich: Release Management and Build PipelinesUiPathCommunity
Ensuring robust, reliable, and repeatable delivery processes is more critical than ever - it's a success factor for your automations and for automation programmes as a whole. In this session, we’ll dive into modern best practices for release management and explore how tools like the UiPathCLI can streamline your CI/CD pipelines. Whether you’re just starting with automation or scaling enterprise-grade deployments, our event promises to deliver helpful insights to you. This topic is relevant for both on-premise and cloud users - as well as for automation developers and software testers alike.
📕 Agenda:
- Best Practices for Release Management
- What it is and why it matters
- UiPath Build Pipelines Deep Dive
- Exploring CI/CD workflows, the UiPathCLI and showcasing scenarios for both on-premise and cloud
- Discussion, Q&A
👨🏫 Speakers
Roman Tobler, CEO@ Routinuum
Johans Brink, CTO@ MvR Digital Workforce
We look forward to bringing best practices and showcasing build pipelines to you - and to having interesting discussions on this important topic!
If you have any questions or inputs prior to the event, don't hesitate to reach out to us.
This event streamed live on May 27, 16:00 pm CET.
Check out all our upcoming UiPath Community sessions at:
👉 https://community.uipath.com/events/
Join UiPath Community Zurich chapter:
👉 https://community.uipath.com/zurich/
Cyber Security Legal Framework in Nepal.pptxGhimire B.R.
The presentation is about the review of existing legal framework on Cyber Security in Nepal. The strength and weakness highlights of the major acts and policies so far. Further it highlights the needs of data protection act .