by Kashif Imran, Sr. Solutions Architect, AWS
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, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatchAmazon Web Services
You may already know that you can use Amazon CloudWatch to view graphs of your AWS resources like Amazon Elastic Compute Cloud instances or Amazon Simple Storage Service. But, did you know that you can monitor your on-premises servers with Amazon CloudWatch Logs? Or, that you can integrate CloudWatch Logs with Elasticsearch for powerful visualization and analysis? This session will offer a tour of the latest monitoring and automation capabilities that we’ve added, how you can get even more done with Amazon CloudWatch.
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.
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
(DVO315) Log, Monitor and Analyze your IT with Amazon CloudWatchAmazon Web Services
You may already know that you can use Amazon CloudWatch to view graphs of your AWS resources like Amazon Elastic Compute Cloud instances or Amazon Simple Storage Service. But, did you know that you can monitor your on-premises servers with Amazon CloudWatch Logs? Or, that you can integrate CloudWatch Logs with Elasticsearch for powerful visualization and analysis? This session will offer a tour of the latest monitoring and automation capabilities that we’ve added, how you can get even more done with Amazon CloudWatch.
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.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
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.
This session is focused on diving into the AWS IAM policy categories to understand the differences, learn how the policy evaluation logic works, and go over some best practices. We will then walk through how to use permission boundaries to truly delegate administration in AWS.
Elastic Load Balancing allows the incoming traffic to be distributed automatically across multiple healthy EC2 instances.
ELB serves as a single point of contact to the client.
ELB helps to being transparent and increases the application availability by allowing addition or removal of multiple EC2 instances across one or more availability zones, without disrupting the overall flow of information.
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/
Designing security & governance via AWS Control Tower & Organizations - SEC30...Amazon Web Services
Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we cover considerations, limitations, and security patterns when building a multi-account strategy. We explore topics such as thought pattern, identity federation, cross-account roles, consolidated logging, and account governance. We conclude by presenting an enterprise-ready landing-zone framework and providing the background needed to implement an AWS Landing Zone using AWS Control Tower and AWS Organizations.
AWS is architected to be one of the most flexible and secure cloud computing environments available today. It provides an extremely scalable, highly reliable platform that enables customers to deploy applications and data quickly and securely. When using AWS, not only are infrastructure headaches removed, but so are many of the security issues that come with them.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
This talk will be a 2-300 level discussion on Serverless Architectures on AWS. We’ll first explore the Serverless ecosystem on AWS, looking at some particular use cases for Serverless. Looking through the lens of AWS customers, we’ll look at the typical Serverless journey, as well some of the key emerging patterns and benefits of Serverless Architectures. We’ll also touch some of the key challenges in a distributed environment and some potential solutions and tools that customers might want to consider.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
by Heeki Park, Sr. Consultant, AWS
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, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
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, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
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.
This session is focused on diving into the AWS IAM policy categories to understand the differences, learn how the policy evaluation logic works, and go over some best practices. We will then walk through how to use permission boundaries to truly delegate administration in AWS.
Elastic Load Balancing allows the incoming traffic to be distributed automatically across multiple healthy EC2 instances.
ELB serves as a single point of contact to the client.
ELB helps to being transparent and increases the application availability by allowing addition or removal of multiple EC2 instances across one or more availability zones, without disrupting the overall flow of information.
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/
Designing security & governance via AWS Control Tower & Organizations - SEC30...Amazon Web Services
Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we cover considerations, limitations, and security patterns when building a multi-account strategy. We explore topics such as thought pattern, identity federation, cross-account roles, consolidated logging, and account governance. We conclude by presenting an enterprise-ready landing-zone framework and providing the background needed to implement an AWS Landing Zone using AWS Control Tower and AWS Organizations.
AWS is architected to be one of the most flexible and secure cloud computing environments available today. It provides an extremely scalable, highly reliable platform that enables customers to deploy applications and data quickly and securely. When using AWS, not only are infrastructure headaches removed, but so are many of the security issues that come with them.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
This talk will be a 2-300 level discussion on Serverless Architectures on AWS. We’ll first explore the Serverless ecosystem on AWS, looking at some particular use cases for Serverless. Looking through the lens of AWS customers, we’ll look at the typical Serverless journey, as well some of the key emerging patterns and benefits of Serverless Architectures. We’ll also touch some of the key challenges in a distributed environment and some potential solutions and tools that customers might want to consider.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about cloud watch key concepts, workflow, dashboard, metrics, cloud watch agent, alarms, events and logs.
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
by Heeki Park, Sr. Consultant, AWS
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, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
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, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
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.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions). We will discuss how to use serverless architectures for a variety of use cases including data processing, website backends, serverless applications, and “operational glue.” You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We will also discuss considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organization and understand areas of potential savings and increased agility.
Building API-Driven Microservices with Amazon API Gateway - AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn patterns for building APIs for various backend technologies
- Learn how to secure your APIs
- Learn how to handle updates, versioning, and environments using Amazon API Gateway
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning.
This session will give you an high level review of the different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
Building Serverless Enterprise Applications - SRV315 - Anaheim AWS SummitAmazon Web Services
In this session, learn how to design, develop, deliver, and monitor enterprise applications as they take advantage of the AWS serverless platform and developer toolset. We discuss the common serverless patterns that enterprises use, and we explain how to implement the operational and security features that are used by large and mature organizations.
Serverless on AWS: Architectural Patterns and Best PracticesVladimir Simek
When speaking about serverless on AWS, most people think about AWS Lambda. But there's more than than. AWS provides a set of fully managed services that you can use to build and run serverless applications. Serverless applications don’t require provisioning, maintaining, and administering servers for backend components such as compute, databases, storage, stream processing, message queuing, and more. You also no longer need to worry about ensuring application fault tolerance and availability. Instead, AWS handles all of these capabilities for you. This allows you to focus on product innovation while enjoying faster time-to-market.
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the Approved open-source AWS SAM translator, and see how AWS SAM works under the hood.
Serverless Architectural Patterns and Best Practices (ARC305-R2) - AWS re:Inv...Amazon Web Services
As serverless architectures become more popular, customers need a framework of patterns to help them identify how to leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility.
This session will help you to get basic understanding of the AWS platform and discuss the core services of Infrastructure, compute, network and storage components. In addition, we will discuss the higher level managed services that will allow you to focus on your core business and leave the heavy lifting to AWS.
Become a Serverless Black Belt - Optimizing Your Serverless Applications - AW...Amazon Web Services
Learning Objectives:
- Learn how to optimize Lambda function performance and cost
- Understand how to improve cold start latency
- Best practices for event invocations and concurrency
Understand how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users.
In the session, we shared the components of a web application such as web server, app server, database, components, application compute, database engine, storage and delivery.
Learn how to build a simple serverless web application using AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon Cognito application.
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.
The Future of Enterprise Applications is Serverless (ENT314-R1) - AWS re:Inve...Amazon Web Services
At re:Invent 2014, we announced AWS Lambda and ushered in a whole new world of application design, one without the need to manage or think about traditional server infrastructure. Since then, serverless has become one of the hottest topics in the industry. Customers like Capital One and Coca Cola talk about how serverless saved them time and money, helped them reduce their operational burden, and drove developer agility and innovation. What is serverless, and what are the key trends you should be aware of? Where does one start on the journey of building serverless applications? We cover all of this and more in this session.
Build Enterprise-Grade Serverless Apps - SRV315 - Atlanta AWS SummitAmazon Web Services
In this session, we explore how developers can design, develop, deliver, and monitor cloud applications as they take advantage of the AWS serverless platform and developer toolset. We discuss common serverless patterns used by enterprises, and we dive into the operational and security features used by large and mature organizations.
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We will also discuss considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organization and understand areas of potential savings and increased agility.
Similar to Getting Started with AWS Lambda and Serverless (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
20. “Book a Hotel”
“Can I go ahead
with the booking?
“Book a Hotel in
NYC”
Automatic Speech
Recognition
Hotel Booking
New York City
Natural Language
Understanding
Intent/Slot
Model
UtterancesHotel Booking
City New York City
Check In Nov 30th
Check Out Dec 2nd
“Your hotel is booked for
Nov 30th”
Amazon Polly
Confirmation: “Your hotel
is booked for Nov 30th”
Book Hotel
NYC
a
in