Join us for this advanced-level talk to learn about Pokemon's journey defending against DDoS attacks and bad bots with AWS WAF, AWS Shield, and other AWS services. We go through their initial challenges and the evolution of their bot mitigation solution, which includes offline log analysis and dynamic updates of badbot IPs along with rate-based rules. This is an advanced talk and assumes some knowledge of Amazon DynamoDB, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, AWS Firewall Manager, AWS Shield, and AWS WAF.
by Greg McConnel, Sr. Solutions Architect, AWS
We take an in-depth look at the AWS Identity and Access Management (IAM) policy language. We start with the basics of the policy language and how to create and attach policies to IAM users, groups, and roles. As we dive deeper, we explore policy variables, conditions, and other tools to help you author least privilege policies. Throughout the session, we cover some common use cases, such as granting a user secure access to an Amazon S3 bucket and launching an Amazon EC2 instance of a specific type.
by Omar Lari, Partner Solutions Architect, AWS
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
With the rise of micro-services and large-scale distributed architectures, software systems have grown increasingly complex and hard to understand. Adding to that complexity, the velocity of software delivery has also dramatically increased, resulting in failures being harder to predict and contain.
While the cloud allows for high availability, redundancy and fault-tolerance, no single component can guarantee 100% uptime. Therefore, we have to understand availability but especially learn how to design architectures with failure in mind.
And since failures have become more and more chaotic in nature, we must turn to chaos engineering in order to identify failures before they become outages.
In this talk, Adrian deep dives into availability, reliability and large-scale architectures and make an introduction to chaos engineering, a discipline that promotes breaking things on purpose in order to learn how to build more resilient systems.
by Greg McConnel, Sr. Solutions Architect, AWS
We take an in-depth look at the AWS Identity and Access Management (IAM) policy language. We start with the basics of the policy language and how to create and attach policies to IAM users, groups, and roles. As we dive deeper, we explore policy variables, conditions, and other tools to help you author least privilege policies. Throughout the session, we cover some common use cases, such as granting a user secure access to an Amazon S3 bucket and launching an Amazon EC2 instance of a specific type.
by Omar Lari, Partner Solutions Architect, AWS
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
With the rise of micro-services and large-scale distributed architectures, software systems have grown increasingly complex and hard to understand. Adding to that complexity, the velocity of software delivery has also dramatically increased, resulting in failures being harder to predict and contain.
While the cloud allows for high availability, redundancy and fault-tolerance, no single component can guarantee 100% uptime. Therefore, we have to understand availability but especially learn how to design architectures with failure in mind.
And since failures have become more and more chaotic in nature, we must turn to chaos engineering in order to identify failures before they become outages.
In this talk, Adrian deep dives into availability, reliability and large-scale architectures and make an introduction to chaos engineering, a discipline that promotes breaking things on purpose in order to learn how to build more resilient systems.
Resiliency and Availability Design Patterns for the CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers but also new patterns like cell-based architecture and shuffle sharding. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
The Future of API Management Is ServerlessChris Munns
Gone are the days of needing to manage servers for running your API based applications, of needing to think about capacity management and the gamble of provisioning too much or too little infrastructure. By leveraging serverless API management services, you can easily build and deploy traditional REST and GraphQL based APIs without the need for provisioning or managing any servers or infrastructure. I’ll share how AWS customers are running secure APIs with high availability and automated scaling, all while significantly reducing their operational overhead, and how you can do the same.
Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...Amazon Web Services
Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
[NEW LAUNCH!] Introducing Amazon SageMaker RL - Build and Train Reinforcement...Amazon Web Services
Reinforcement Learning is an exciting area within machine learning that enables development of many intelligent applications such as autonomous vehicles and robots. The applications with Reinforcement Learning can span across many areas including energy management, financial portfolio management, operations research, natural language processing, and many more. In this interactive workshop, you will learn the basics of Reinforcement Learning (RL) and how you can build and train RL models with the newly announced Amazon SageMaker RL. We will model a simulation environment to represent real-world problems. Further, we will train RL models in this environment and tune them to obtain the required results. By the end of this workshop, you will become familiar with Reinforcement Learning and be able to use SageMaker RL for your own business problems to build intelligent applications.
Keynote delivered by Madhusudan Sekhar on the topic "Chaos Engineering: Why breaking things should be practiced" presented at AWS Community Day, Bangalore 2018
Building Applications with Apache MXNetApache MXNet
This deck quickly walks through fundamentals of Deep Learning and describes how symbolic engine of MXNet implements such networks. It then introduces gluon and provides code examples. The last section of the presentation introduces latest developments in gluon family of tools to include GluonNLP, an NLP toolkit with SOTA implementation of NLP algorithms, GluonCV, a Computer Vision toolkit with SOTA implementation of Vision algorithms, and MXNet backend for Keras.
Introduction to Amazon Route 53 Resolver for Hybrid Cloud (NET215) - AWS re:I...Amazon Web Services
Amazon Route 53 Resolver provides recursive DNS for your Amazon VPC and on-premises networks over VPN or AWS Direct Connect. This session will review common use cases for Route 53 Resolver and go in depth on how it works.
Best Practices for Scalable Monitoring (ENT310-S) - AWS re:Invent 2018Amazon Web Services
A successful transition to a modern elastic, containerized, microservice architecture requires automating all things, including your monitoring and alerting infrastructure. In this talk, we share some of the techniques and best practices we learned at New Relic for applying "infrastructure as code" (IaC) techniques to monitoring and alerting during our 10-year journey from a single-region monolithic application to a global multi-region deployment of hundreds of microservices. This session is brought to you by AWS partner, New Relic.
Run Production Workloads on Spot, Save up to 90% (CMP306-R1) - AWS re:Invent ...Amazon Web Services
Amazon EC2 Spot Instances enable you to use spare EC2 computing capacity— capacity that is often 90% less than On-Demand prices. In this session, learn how to effectively harness Spot Instances for production workloads. We explore application requirements for using Spot Instances, best practices learned from thousands of customers, and the services that make it easy to use. Finally, we run through practical examples of how to use Spot for the most common production workloads, the common pitfalls customers run into, and how to avoid them.
Advanced Serverless Data Processing (GPSWS406) - AWS re:Invent 2018Amazon Web Services
In this hands-on workshop, you learn best practices and architectural patterns for building streaming data processing pipelines without servers. Using Amazon Kinesis, AWS Lambda, and other services, you have the opportunity to build, deploy, and monitor an application to ingest and process high-velocity data at scale. This advanced workshop assumes that you have experience writing Lambda functions and understand the basics of the AWS serverless platform, so come ready to dive into the deep end. Bring your laptop with a full keyboard. We provide a sandbox AWS account for you to use during the workshop.
Predictive Scaling for More Responsive Applications (API330) - AWS re:Invent ...Amazon Web Services
Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide.
Moving to DevOps the Amazon Way (DEV210-R1) - AWS re:Invent 2018Amazon Web Services
DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.
Five New Security Automations Using AWS Security Services & Open Source (SEC4...Amazon Web Services
In this session, we dive deep into the actual code behind various security automation and remediation functions. We demonstrate each script, describe the use cases, and perform a code review explaining the various challenges and solutions. All use cases are based on customer and C-level feedback and challenges. We look at things like IAM policy scope reduction, alert and ticket integration for security events, forensics and research on AWS resources, secure pipelines, and more. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
The Theory and Math Behind Data Privacy and Security Assurance (SEC301) - AWS...Amazon Web Services
Data privacy and security are top concerns for customers in the cloud. In this session, the AWS Automated Reasoning group shares the advanced technologies, rooted in mathematical proof, that help provide the highest levels of security assurance in today's data-driven world. The Automated Reasoning group co-presents with Bridgewater, a customer that has leveraged these technologies to help confirm that security requirements are being met, an assurance not previously available from conventional tools.
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.