Achieving Compliance and Selling to Regulated Markets on AWSAmazon Web Services
Security is the top priority at AWS, and whether you are a startup or an enterprise our compliance programs can help you demonstrate the effectiveness of this security to your customers. In this session, you will learn how to build your own compliance programs on AWS, and how to show your customers evidence of this compliance. Bring both your business and technical hat as we will dive into a cross-functional strategy that will accelerate your path to compliance on AWS and your business growth in regulated markets.
by Itzik Paz, Solutions Architect, Martin Schade, Solutions Architect, and Rich Cowper, Solutions Architect Manager, AWS
Are you interested in processing images at scale without launching a single virtual machine? In this workshop, we show participants how to create an entirely serverless image processing platform using Amazon Cognito, AWS Lambda, Amazon Rekognition, and Amazon Elasticsearch Service (Amazon ES). Participants leave this workshop with a web portal where users can upload images that ultimately end up in a searchable index powered by Amazon ES and Kibana.
"Do you want to learn more about building predictive IoT applications using AWS IoT and Amazon Machine Learning (Amazon ML)? In this workshop, we walk step by step through configuring AWS IoT “things”, training machine learning models using Amazon ML, and then using those models with AWS Lambda to predict device failures in the field and take corrective action. This is a hands-on workshop that provides participants with all of the code and machine learning training data needed to build a fully functional real-world IoT simulation. Participants should have a basic familiarity with AWS and with using the AWS Management Console.
This workshop is hands-on and provides the participants with all of the code and machine learning training data necessary to build a fully functional real-world IoT simulation.
Participants should have a basic familiarity with AWS and be familiar with using the console."
Achieving Compliance and Selling to Regulated Markets on AWSAmazon Web Services
Security is the top priority at AWS, and whether you are a startup or an enterprise our compliance programs can help you demonstrate the effectiveness of this security to your customers. In this session, you will learn how to build your own compliance programs on AWS, and how to show your customers evidence of this compliance. Bring both your business and technical hat as we will dive into a cross-functional strategy that will accelerate your path to compliance on AWS and your business growth in regulated markets.
by Itzik Paz, Solutions Architect, Martin Schade, Solutions Architect, and Rich Cowper, Solutions Architect Manager, AWS
Are you interested in processing images at scale without launching a single virtual machine? In this workshop, we show participants how to create an entirely serverless image processing platform using Amazon Cognito, AWS Lambda, Amazon Rekognition, and Amazon Elasticsearch Service (Amazon ES). Participants leave this workshop with a web portal where users can upload images that ultimately end up in a searchable index powered by Amazon ES and Kibana.
"Do you want to learn more about building predictive IoT applications using AWS IoT and Amazon Machine Learning (Amazon ML)? In this workshop, we walk step by step through configuring AWS IoT “things”, training machine learning models using Amazon ML, and then using those models with AWS Lambda to predict device failures in the field and take corrective action. This is a hands-on workshop that provides participants with all of the code and machine learning training data needed to build a fully functional real-world IoT simulation. Participants should have a basic familiarity with AWS and with using the AWS Management Console.
This workshop is hands-on and provides the participants with all of the code and machine learning training data necessary to build a fully functional real-world IoT simulation.
Participants should have a basic familiarity with AWS and be familiar with using the console."
by Itzik Paz, Solutions Architect & Rich Cowper, Solutions Architect Manager, AWS
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront.
This presentation has the following objectives:
1.Understand Serverless Key Concepts.
2.Understand Event Processing Architecture.
3.Understand Operation Automation Architecture.
4.Understand Web Application Architecture.
5.Understand Data Processing Architecture.
a.Kinesis-based apps.
b.IoT-based apps.
Create a Serverless Image Processing Platform - ARC326 - re:Invent 2017Amazon Web Services
Are you interested in processing images at scale without launching a single virtual machine? In this workshop, we show participants how to create an entirely serverless image processing platform using Amazon Cognito, AWS Lambda, Amazon Rekognition, and Amazon Elasticsearch Service (Amazon ES). Participants leave this workshop with a web portal where users can upload images that ultimately end up in a searchable index powered by Amazon ES and Kibana. Bring your laptop, and AWS account with Admin access. Your laptop should have either SSH capability or have Putty installed.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon ECR Lifecycle Policies work to lower costs and reduce image sprawl
- How to configure and test rules for automated image cleanup
- Best practices for getting started using Lifecycle Policies today
Comparing Compute Options for Microservices - AWS Summti Sydney 2018Amazon Web Services
Comparing Container Options for Microservices on AWS
When building microservices on AWS, you have a wide-range of options for compute, monitoring, logging, and deployment. In this session we walk through what it takes to build, deploy, and manage a microservices-based application using different compute options, and cover application packaging, tooling, service discovery, monitoring, logging, and CI/CD.
Arun Gupta, Principal OS Technologist, Amazon Web Services
"When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost.
In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones."
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS
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 re-usable 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. 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 organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
by Kashif Imran, Sr. Solutions Architect, AWS
In this workshop you'll learn to build a web application using a serverless architecture. With fresh funding from its seed investors, Wild Rydes (www.wildrydes.com) is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon S3.
Building Smart Applications with Amazon Machine Learning.pdfAmazon Web Services
Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
Modernizing on EKS (Keynote)- AWS Container Day 2019 BarcelonaAmazon Web Services
In this opening keynote, EKS GM Bob Wise covers how we got to our current container landscape, container best practices, and how EKS has developed in the past year of general availability. We also learn how AWS has contributed to the open source community.
Dow Jones & Wall Street Journal's journey to manage traffic spikes while miti...Amazon Web Services
Dow Jones, which produces the Wall Street Journal, engaged AWS Enterprise Support to plan for peak website usage during the United States presidential election in 2016. This preparation ensured that the Wall Street Journal website could scale to meet peak demands as election returns came in. They have since expanded their use of AWS services, including Lambda@Edge, AWS WAF, and AWS Shield.
Building Manageable Windows Workloads - ARC324 - re:Invent 2017Amazon Web Services
Do you want to know how to run Microsoft Windows workloads in the cloud using best practices? In this session, we dive deep into how to use AWS Directory Service to create a fully managed Active Directory in AWS. We provide guidance and tips from the experts on how to get the most out of Amazon EC2 Systems Manager. During this interactive hands-on session, participants will install and configure Active Directory, create Amazon EC2 instances that automatically join and unjoin an Active Directory Domain, and then show some great features of Systems Manager to show how customers can better manage Windows workloads on AWS.
by Harrell Stiles, Sr. Consultant, AWS ProServe
Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.
Cloud Computing with Amazon Web Services.
AWS Cloud Solutions - Websites, Archiving, Data Lakes and Analytics, Serverless Computing, Internet of Things and more.
Containers in AWS - Amazon Elastic Container Service, Fargate, and EKS
Big Data and the Data lake implementation in AWS
Machine Learning with Amazon SageMaker - Build, train, and deploy machine learning models at scale.
AWS Identity and Access Management (IAM) - Securely manage access to AWS services and resources.
AWS Pricing - How does AWS pricing work?
by Itzik Paz, Solutions Architect & Rich Cowper, Solutions Architect Manager, AWS
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront.
This presentation has the following objectives:
1.Understand Serverless Key Concepts.
2.Understand Event Processing Architecture.
3.Understand Operation Automation Architecture.
4.Understand Web Application Architecture.
5.Understand Data Processing Architecture.
a.Kinesis-based apps.
b.IoT-based apps.
Create a Serverless Image Processing Platform - ARC326 - re:Invent 2017Amazon Web Services
Are you interested in processing images at scale without launching a single virtual machine? In this workshop, we show participants how to create an entirely serverless image processing platform using Amazon Cognito, AWS Lambda, Amazon Rekognition, and Amazon Elasticsearch Service (Amazon ES). Participants leave this workshop with a web portal where users can upload images that ultimately end up in a searchable index powered by Amazon ES and Kibana. Bring your laptop, and AWS account with Admin access. Your laptop should have either SSH capability or have Putty installed.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon ECR Lifecycle Policies work to lower costs and reduce image sprawl
- How to configure and test rules for automated image cleanup
- Best practices for getting started using Lifecycle Policies today
Comparing Compute Options for Microservices - AWS Summti Sydney 2018Amazon Web Services
Comparing Container Options for Microservices on AWS
When building microservices on AWS, you have a wide-range of options for compute, monitoring, logging, and deployment. In this session we walk through what it takes to build, deploy, and manage a microservices-based application using different compute options, and cover application packaging, tooling, service discovery, monitoring, logging, and CI/CD.
Arun Gupta, Principal OS Technologist, Amazon Web Services
"When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost.
In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones."
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS
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 re-usable 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. 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 organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
by Kashif Imran, Sr. Solutions Architect, AWS
In this workshop you'll learn to build a web application using a serverless architecture. With fresh funding from its seed investors, Wild Rydes (www.wildrydes.com) is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon S3.
Building Smart Applications with Amazon Machine Learning.pdfAmazon Web Services
Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
Modernizing on EKS (Keynote)- AWS Container Day 2019 BarcelonaAmazon Web Services
In this opening keynote, EKS GM Bob Wise covers how we got to our current container landscape, container best practices, and how EKS has developed in the past year of general availability. We also learn how AWS has contributed to the open source community.
Dow Jones & Wall Street Journal's journey to manage traffic spikes while miti...Amazon Web Services
Dow Jones, which produces the Wall Street Journal, engaged AWS Enterprise Support to plan for peak website usage during the United States presidential election in 2016. This preparation ensured that the Wall Street Journal website could scale to meet peak demands as election returns came in. They have since expanded their use of AWS services, including Lambda@Edge, AWS WAF, and AWS Shield.
Building Manageable Windows Workloads - ARC324 - re:Invent 2017Amazon Web Services
Do you want to know how to run Microsoft Windows workloads in the cloud using best practices? In this session, we dive deep into how to use AWS Directory Service to create a fully managed Active Directory in AWS. We provide guidance and tips from the experts on how to get the most out of Amazon EC2 Systems Manager. During this interactive hands-on session, participants will install and configure Active Directory, create Amazon EC2 instances that automatically join and unjoin an Active Directory Domain, and then show some great features of Systems Manager to show how customers can better manage Windows workloads on AWS.
by Harrell Stiles, Sr. Consultant, AWS ProServe
Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.
Cloud Computing with Amazon Web Services.
AWS Cloud Solutions - Websites, Archiving, Data Lakes and Analytics, Serverless Computing, Internet of Things and more.
Containers in AWS - Amazon Elastic Container Service, Fargate, and EKS
Big Data and the Data lake implementation in AWS
Machine Learning with Amazon SageMaker - Build, train, and deploy machine learning models at scale.
AWS Identity and Access Management (IAM) - Securely manage access to AWS services and resources.
AWS Pricing - How does AWS pricing work?
Building and scaling your containerized microservices on Amazon ECSAmazon Web Services
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
Automating Cloud Cluster Deployment: Beyond the BookBill Havanki
Speed and reliability in deploying big data clusters is key for effectiveness in the cloud. Drawing on ideas from his book Moving Hadoop to the Cloud, which covers essential practices like baking images and automating cluster configuration, Bill Havanki explains how you can automate the creation of new clusters from scratch and use metrics gathered using the cloud provider to scale up.
Moving Quickly with Data Services in the CloudMatthew Dimich
How is cloud changing data storage options for development teams at Thomson Reuters? Come hear how projects are changing the way they work with data in the cloud and what role a centralized cloud team can play in helping your business get products to market more quickly without worry about ending up on the front page of the news as the latest data breach. Any storage medium is up for discussion, but we’ll be primarily sticking to relational databases, elastic search, NoSQL and object storage. This will be useful to both teams that are looking to just get started in AWS to teams who already have production workloads in AWS. Although it assumes a basic knowledge of the relational database, elastic search, and NoSQL options in AWS, you will be able to get value if you haven’t used those technologies before.
15015 SRV318 Serverless Breakout Session Research at PNNL: Powered by AWS Pacific Northwest National Laboratory's rich data sciences capability has produced novel solutions in numerous research areas including image analysis, statistical modeling, and social media (and many more!). See how PNNL software engineers utilize AWS to enable better collaboration between researchers and engineers, and to power the data processing systems required to facilitate this work, with a focus on Lambda, EC2, S3, Apache Nifi and other technologies. Several approaches will be covered including lessons learned. AWS re:Invent 2017, Amazon, Giardinelli, Serverless, SRV318, EC2 11/28/2017 1:00:00 PM Tue Breakout Session
Research at PNNL: Powered by AWS - SRV318 - re:Invent 2017Amazon Web Services
Pacific Northwest National Laboratory's rich data sciences capability has produced novel solutions in numerous research areas including image analysis, statistical modeling, and social media (and many more!). See how PNNL software engineers utilize AWS to enable better collaboration between researchers and engineers, and to power the data processing systems required to facilitate this work, with a focus on Lambda, EC2, S3, Apache Nifi and other technologies. Several approaches will be covered including lessons learned.
As companies shift workloads into the cloud, IT organizations are required to manage an increasing number of cloud resources. AWS provides a broad set of services that help IT organizations with provisioning, tracking, auditing, configuration management, and cost management of their AWS resources. In this session, we will explore the AWS Management Tools suite of services that support the lifecycle management of AWS resources at scale and enable IT governance and compliance. The Deep Dive on AWS Management Tools session will benefit both new and experienced IT administrators, systems administrators, and developers operating infrastructure on AWS and interested in learning about the AWS resource management capabilities.
Cost is often the conversation starter when customers think about moving to the cloud. AWS helps lower costs for customers through its “pay only for what you use” pricing model, frequent price drops, and pricing model choice to support variable & stable workloads. In this session, you will learn about the financial considerations of owning and operating a traditional data center or managed hosting provider versus utilizing AWS. We will detail our TCO methodology and showcase cost comparisons for some common customer use-cases. We’ll also cover a few AWS cost optimization areas, including Spot and Reserved Instances, EC2 Auto Scaling, and consolidated billing.
Presenter:
Amit Sharma, Solution Architect, Amazon Internet Services
Krishnenjit Roy, Director IT Operations, Freshdesk
Webcast: DevOps in AWS is different! How can containers help? Applatix
How is the public cloud different than the private cloud? How can containers help you run your public scale effectively at scale? These are the slides that accompanied a webcast on our YouTube site.
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
Security Architecture recommendations for your new AWS operation - Pop-up Lof...Amazon Web Services
An organisation’s security controls are defined in part as a result of a need to comply with external industry regulatory requirements, and in part as a result of the organisation’s own risk appetite and culture. In this session we discuss our recommendations for producing a highly-secure AWS baseline environment, comprising multiple AWS accounts to enforce separation of duty, and each configured with a set of base controls for implementing access control, log capture and aggregation, and attack mitigation. We then map common sets of security controls to this architecture, and show how such an architecture can meet the requirements of various external standards.
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.
5. A couple of general best practices
• Rely on the public API
• Use the right tool for the job
• Secure your services
• Be a good microservices citizen
• Organizational changes matters
• Automate where plausible
6. How do I deploy my containers to hosts?
How do I do zero downtime or blue green deployments?
How do I keep my containers alive?
How can my containers talk to each other?
How do I do service discovery?
What about secrets?
How do I best optimize my "pool of compute”?
17. Beware points of failure
• Source/version control all the things
• e.g. git and AWS CodeCommit, registries
• Smart image tagging
• Shared dependencies
• Deploy fast and often (and small!)
• For Kubernetes: fault tolerance requires an extra step! Make
sure you have tolerance for failure, and use autoscaling
groups.
18. Smaller images mean faster builds and
deploys
• Go smaller
• Private image repository
• e.g. Amazon ECR
• Shared where possible
• Avoid unnecessary add-ons CACHE
19. Alerts are (mostly) good
• Alert responsibly
• Take advantage of the built-in AWS alert systems
• e.g. aws-log driver or CloudWatch
• Put checks or limits on services or clusters scaling
• Log sorting for severity is important to avoid unnecessarily
sending an alert
20. Monitoring and logging are key
• Utilize tools
• e.g. AWS CloudWatch, Datadog
• Logging for both containers and hosts
• Avoid unnecessary noise here too:
• Log levels!
• Meaningful log messages (don’t just log the default)
• Logs should actually help
21. Automation where plausible
• Scripts!
• Utilize built-in AWS features
• e.g. CodeCommit, CodePipeline, CodeDeploy
• …but add checks by a human
• Templates and tools are your friends!
• CloudFormation, etc: use tools to help setup and
create repeatable infrastructure
22. Maximize your resources
• Set sensible resource limits
• Use a scaling policy to scale up or down and preclude
resources from running idle
• Utilize TaskPlacement policies
23. The right tools for the job
• ALB vs ELB
• Not all languages need to build the same
• Set Service level scaling policies, plus cluster scaling policies
• Regardless of orchestration tool, use a VPC!
• Multi AZ
• Bottom line: use what works for you!
24. Checking for issues
• Debugging
• Monitor performance with tools like X-Ray
• Connection draining settings
• Health checks
• Check for actual health
• Look for number of failed checks before declaring
unhealthy