In this talk, we share a real-world experience of how AWS securely implements Kubernetes network abstractions at scale. We also explore the pain points in the current Kubernetes networking design, best practices for troubleshooting, and future improvements.
Deep Dive on Container Networking at Scale on Amazon EKS, Amazon ECS, & Amazo...Amazon Web Services
In this advanced workshop, we dive deep on the different networking options for deploying containers at production scale across Amazon EC2, Amazon ECS, and Amazon EKS. We also review architectural best practices and the different relevant industry standards that are leveraged within these services. This workshop includes hands-on labs to facilitate a better understanding of the networking underpinnings of the various container deployment options. We recommend you bring your own laptop.
by Mikhail Prudnikov, Sr. Solutions Architect, AWS
Redis is an open source, in-memory data store that delivers sub-millisecond response times enabling millions of requests per second to power real-time applications. It can be used as a fast database, cache, message broker, and queue. Amazon ElastiCache delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. We’ll take a close look at Redis and how to use it to power different use cases.
Running a High-Performance Kubernetes Cluster with Amazon EKS (CON318-R1) - A...Amazon Web Services
How do you ensure that a containerized system can handle the needs of your application? Designing and testing for performance is a critical aspect of operating containerized architectures at scale. In this session, we cover best practices for designing perfomant containerized applications on AWS using Kubernetes. We also show you how State Street deployed a high-performance database at scale using Amazon Elastic Container Service for Kubernetes (Amazon EKS).
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
An overview of the Amazon ElastiCache managed service, with examples of how it can be used to increase performance, lower costs and augment other database services and databases to make things faster, easier and less expensive.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Amazon Virtual Private Cloud by Andrew Kane, Solution Architect
April 18, 2016
Full recorded presentation at https://www.youtube.com/watch?v=2UfAgCSKPZo for Tetrate Tech Talks on 2022/05/13.
Envoy's support for Kafka protocol, in form of broker-filter and mesh-filter.
Contents:
- overview of Kafka (usecases, partitioning, producer/consumer, protocol);
- proxying Kafka (non-Envoy specific);
- proxying Kafka with Envoy;
- handling Kafka protocol in Envoy;
- Kafka-broker-filter for per-connection proxying;
- Kafka-mesh-filter to provide front proxy for multiple Kafka clusters.
References:
- https://adam-kotwasinski.medium.com/deploying-envoy-and-kafka-8aa7513ec0a0
- https://adam-kotwasinski.medium.com/kafka-mesh-filter-in-envoy-a70b3aefcdef
Deep Dive on Container Networking at Scale on Amazon EKS, Amazon ECS, & Amazo...Amazon Web Services
In this advanced workshop, we dive deep on the different networking options for deploying containers at production scale across Amazon EC2, Amazon ECS, and Amazon EKS. We also review architectural best practices and the different relevant industry standards that are leveraged within these services. This workshop includes hands-on labs to facilitate a better understanding of the networking underpinnings of the various container deployment options. We recommend you bring your own laptop.
by Mikhail Prudnikov, Sr. Solutions Architect, AWS
Redis is an open source, in-memory data store that delivers sub-millisecond response times enabling millions of requests per second to power real-time applications. It can be used as a fast database, cache, message broker, and queue. Amazon ElastiCache delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. We’ll take a close look at Redis and how to use it to power different use cases.
Running a High-Performance Kubernetes Cluster with Amazon EKS (CON318-R1) - A...Amazon Web Services
How do you ensure that a containerized system can handle the needs of your application? Designing and testing for performance is a critical aspect of operating containerized architectures at scale. In this session, we cover best practices for designing perfomant containerized applications on AWS using Kubernetes. We also show you how State Street deployed a high-performance database at scale using Amazon Elastic Container Service for Kubernetes (Amazon EKS).
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
An overview of the Amazon ElastiCache managed service, with examples of how it can be used to increase performance, lower costs and augment other database services and databases to make things faster, easier and less expensive.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Amazon Virtual Private Cloud by Andrew Kane, Solution Architect
April 18, 2016
Full recorded presentation at https://www.youtube.com/watch?v=2UfAgCSKPZo for Tetrate Tech Talks on 2022/05/13.
Envoy's support for Kafka protocol, in form of broker-filter and mesh-filter.
Contents:
- overview of Kafka (usecases, partitioning, producer/consumer, protocol);
- proxying Kafka (non-Envoy specific);
- proxying Kafka with Envoy;
- handling Kafka protocol in Envoy;
- Kafka-broker-filter for per-connection proxying;
- Kafka-mesh-filter to provide front proxy for multiple Kafka clusters.
References:
- https://adam-kotwasinski.medium.com/deploying-envoy-and-kafka-8aa7513ec0a0
- https://adam-kotwasinski.medium.com/kafka-mesh-filter-in-envoy-a70b3aefcdef
Intelligent Auto-scaling of Kafka Consumers with Workload Prediction | Ming S...HostedbyConfluent
In a typical deployment of Kafka with many topics and partitions, scaling the Kafka consumer efficiently is one of the important tasks in maintaining overall smooth Kafka operations. The traditional Kubernetes Horizontal Pod Scaling (HPA) that uses basic CPU and/or memory metrics is not suitable for scaling Kafka consumers. The more appropriate workload metric for Kafka consumer is the number of messages in Kafka broker queue. More specifically, the message production rate of a specific topic would be the right workload metric for a Kafka consumer.
While using message production rate is a better way to decide the number of consumer replicas, this is still a reaction based auto-scaling. Using machine-learning based forecasting, it is possible for predict the upcoming increase or decrease of message production rate. With predicted workload, scaling the Kafka consumers could be achieved in a more timely manner, resulting with better performance KPI's.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
A brief introduction to Amazon Virtual Private Cloud (VPC).
Amazon VPC is a very important service that provides a logically isolated area of the AWS cloud where you can launch AWS resources in a virtual network that you define.
[NEW LAUNCH!] Introducing Amazon Managed Streaming for Kafka (Amazon MSK) (AN...Amazon Web Services
Discover the power of running Apache Kafka on a fully managed AWS service. In this session, we describe how Amazon Managed Streaming for Kafka (Amazon MSK) runs Apache Kafka clusters for you, demo Amazon MSK and a migration, show you how to get started, and walk through other important details about the new service.
AWS Networking – Advanced Concepts and new capabilities | AWS Summit Tel Aviv...Amazon Web Services
Amazon Virtual Private Cloud (Amazon VPC) enables you to have complete control over your AWS virtual networking environment. In this session, we will work through the process and features involved to build an advanced hybrid and connected architecture exploring the new capabilities including VPC Shared Subnets, AWS Transit Gateway, Route 53 Resolver and AWS Global Accelerator. We dive into how they work and how you might use them.
(DEV307) Introduction to Version 3 of the AWS SDK for Python (Boto) | AWS re:...Amazon Web Services
In this session, we introduce Boto 3, the next major version of the AWS SDK for Python. You will learn about the new features in the SDK, such as the high-level resource APIs that simplify working with AWS collections and objects, and the eventing model that enables customizing your calls to AWS services. We use a sample application to demonstrate these features, and show how to integrate them with your existing projects.
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
Apache Kafka in the Airline, Aviation and Travel IndustryKai Wähner
Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. Coronavirus is just a piece of the challenge.
This presentation explores use cases, architectures, and references for Apache Kafka as event streaming technology in the aviation industry, including airline, airports, global distribution systems (GDS), aircraft manufacturers, and more.
Examples include Lufthansa, Singapore Airlines, Air France Hop, Amadeus, and more. Technologies include Kafka, Kafka Connect, Kafka Streams, ksqlDB, Machine Learning, Cloud, and more.
Overview of kubernetes network functionsHungWei Chiu
In this slides, I briefly introduce the network function in the kubernetes and explain how kubernetes implement them.
Those function includes the container network interface (CNI) and kubernetes service.
In the last, I introduce the multus CNI which is designed for multiple networks in the container and it's necessary in some use case, such as SDN/NFV/5G
Amazon Elastic Fabric Adapter: Anatomy, Capabilities, and the Road Aheadinside-BigData.com
In this deck from the 2019 OpenFabrics Workshop in Austin, Raghu Raja from Amazon presents: Amazon Elastic Fabric Adapter: Anatomy, Capabilities, and the Road Ahead.
Elastic Fabric Adapter (EFA) is the recently announced HPC networking offering from Amazon for EC2 instances. It allows applications such as MPI to communicate using the Scalable Reliable Datagram (SRD) protocol that provides connectionless and unordered messaging services directly in userspace, bypassing both the operating system kernel and the Virtual Machine hypervisor. This talk presents the designs, capabilities, and an early performance characterization of the userspace and kernel components of the EFA software stack. This includes the open-source EFA libfabric provider, the generic RDM-over-RDM (RxR) utility provider that extends the capabilities of EFA, and the device driver itself. The talk will also discuss some of Amazon's recent contributions to libfabric core and future plans."
Watch the video: https://wp.me/p3RLHQ-k2I
Learn more: https://www.openfabrics.org/2019-workshop-agenda-and-abstracts/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Mastering Kubernetes on AWS (CON301-R1) - AWS re:Invent 2018Amazon Web Services
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage master nodes or the etcd operator. In this session, we cover what you need to know to get your application up and running with Kubernetes on AWS. We show how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging.
Intelligent Auto-scaling of Kafka Consumers with Workload Prediction | Ming S...HostedbyConfluent
In a typical deployment of Kafka with many topics and partitions, scaling the Kafka consumer efficiently is one of the important tasks in maintaining overall smooth Kafka operations. The traditional Kubernetes Horizontal Pod Scaling (HPA) that uses basic CPU and/or memory metrics is not suitable for scaling Kafka consumers. The more appropriate workload metric for Kafka consumer is the number of messages in Kafka broker queue. More specifically, the message production rate of a specific topic would be the right workload metric for a Kafka consumer.
While using message production rate is a better way to decide the number of consumer replicas, this is still a reaction based auto-scaling. Using machine-learning based forecasting, it is possible for predict the upcoming increase or decrease of message production rate. With predicted workload, scaling the Kafka consumers could be achieved in a more timely manner, resulting with better performance KPI's.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
A brief introduction to Amazon Virtual Private Cloud (VPC).
Amazon VPC is a very important service that provides a logically isolated area of the AWS cloud where you can launch AWS resources in a virtual network that you define.
[NEW LAUNCH!] Introducing Amazon Managed Streaming for Kafka (Amazon MSK) (AN...Amazon Web Services
Discover the power of running Apache Kafka on a fully managed AWS service. In this session, we describe how Amazon Managed Streaming for Kafka (Amazon MSK) runs Apache Kafka clusters for you, demo Amazon MSK and a migration, show you how to get started, and walk through other important details about the new service.
AWS Networking – Advanced Concepts and new capabilities | AWS Summit Tel Aviv...Amazon Web Services
Amazon Virtual Private Cloud (Amazon VPC) enables you to have complete control over your AWS virtual networking environment. In this session, we will work through the process and features involved to build an advanced hybrid and connected architecture exploring the new capabilities including VPC Shared Subnets, AWS Transit Gateway, Route 53 Resolver and AWS Global Accelerator. We dive into how they work and how you might use them.
(DEV307) Introduction to Version 3 of the AWS SDK for Python (Boto) | AWS re:...Amazon Web Services
In this session, we introduce Boto 3, the next major version of the AWS SDK for Python. You will learn about the new features in the SDK, such as the high-level resource APIs that simplify working with AWS collections and objects, and the eventing model that enables customizing your calls to AWS services. We use a sample application to demonstrate these features, and show how to integrate them with your existing projects.
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
Apache Kafka in the Airline, Aviation and Travel IndustryKai Wähner
Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. Coronavirus is just a piece of the challenge.
This presentation explores use cases, architectures, and references for Apache Kafka as event streaming technology in the aviation industry, including airline, airports, global distribution systems (GDS), aircraft manufacturers, and more.
Examples include Lufthansa, Singapore Airlines, Air France Hop, Amadeus, and more. Technologies include Kafka, Kafka Connect, Kafka Streams, ksqlDB, Machine Learning, Cloud, and more.
Overview of kubernetes network functionsHungWei Chiu
In this slides, I briefly introduce the network function in the kubernetes and explain how kubernetes implement them.
Those function includes the container network interface (CNI) and kubernetes service.
In the last, I introduce the multus CNI which is designed for multiple networks in the container and it's necessary in some use case, such as SDN/NFV/5G
Amazon Elastic Fabric Adapter: Anatomy, Capabilities, and the Road Aheadinside-BigData.com
In this deck from the 2019 OpenFabrics Workshop in Austin, Raghu Raja from Amazon presents: Amazon Elastic Fabric Adapter: Anatomy, Capabilities, and the Road Ahead.
Elastic Fabric Adapter (EFA) is the recently announced HPC networking offering from Amazon for EC2 instances. It allows applications such as MPI to communicate using the Scalable Reliable Datagram (SRD) protocol that provides connectionless and unordered messaging services directly in userspace, bypassing both the operating system kernel and the Virtual Machine hypervisor. This talk presents the designs, capabilities, and an early performance characterization of the userspace and kernel components of the EFA software stack. This includes the open-source EFA libfabric provider, the generic RDM-over-RDM (RxR) utility provider that extends the capabilities of EFA, and the device driver itself. The talk will also discuss some of Amazon's recent contributions to libfabric core and future plans."
Watch the video: https://wp.me/p3RLHQ-k2I
Learn more: https://www.openfabrics.org/2019-workshop-agenda-and-abstracts/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Mastering Kubernetes on AWS (CON301-R1) - AWS re:Invent 2018Amazon Web Services
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage master nodes or the etcd operator. In this session, we cover what you need to know to get your application up and running with Kubernetes on AWS. We show how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging.
Chan Kwun-hok, Solutions Architect, AWS
Running and managing a Kubernetes environment at scale is not simple. In this session we will share some expert tips that can help you run production grade Kubernetes deployments on AWS. We will review native AWS services you can use to improve security, deployments, networking, logging and monitoring, and CI/CD. We will also highlight third party services that are popular across a multitude of customers.
Expert Tips for Successful Kubernetes Deployment - AWS Summit Sydney 2018Amazon Web Services
Expert Tips for Successful Kubernetes Deployment on AWS
Running and managing a Kubernetes environment at scale is not simple. In this session we will share some expert tips that can help you run production grade Kubernetes deployments on AWS. We will review native AWS services you can use to improve security, deployments, networking, logging and monitoring, and CI/CD. We will also highlight third party services that are popular across a multitude of customers.
Mitch Beaumont, Solutions Architect, Amazon Web Services
Black Belt tips makes a comeback for the fifth consecutive year. How you used the AWS platform last year should be different to how you utilise it today. In this advanced technical session, learn about latest changes in compute, networking, and security. Understand how new architecture patterns will allow you to maximise performance efficiency, reliability, and security on AWS today.
Speaker: Joshua Shanks, Solutions Architect AWS
Run Kubernetes with Amazon EKS - SRV318 - Chicago AWS SummitAmazon Web Services
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon EKSmakes it easy to run Kubernetes on AWS without having to manage the Kubernetes Control Plane. In this session, see how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging. Learn what we’re doing to make AWS an even better place to run Kubernetes and watch a demo of AWS customers starting to use Amazon EKS.
CON411-R - Advanced network resource management on Amazon EKSClaes Mogren
Different Kubernetes users have different requirements for their cluster network setup. They might want high pod density, or no overlay networking, or separate security groups, or separate network interface for each pod. Having a centralized network resource provider instead of a per-node IPAM daemon enables network assets available as a schedulable Kubernetes resource. This makes it possible to simplify the management of networking resources and offer further customizable networking solutions. In this session, we discuss how the Amazon Elastic Kubernetes Service (Amazon EKS) team has approached meeting these customer needs, and share the solution to manage network resources centrally.
CMP315_Optimizing Network Performance for Amazon EC2 InstancesAmazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features—such as enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-effective manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
Deep Dive into Container Networking (CON410-R1) - AWS re:Invent 2018Amazon Web Services
Building microservices lets you decouple parts of your application so you can develop and deploy code faster. But once your microservices are running, how do you ensure they can seamlessly communicate with each other? In this session, we dive deep into microservices networking. We discuss how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application. We also cover key topics like service discovery, deployments, latency, and service mesh.
Container Networking Deep Dive with Amazon ECS - CON401 - re:Invent 2017Amazon Web Services
Deep dive into how Amazon ECS can enable secure, natively addressable, and highly performant network interfaces for containers using the recently launched the awsvpc task networking mode. In this session, we focus on how CNI plugins were integrated with the Amazon ECS container agent and discuss the backend changes necessary to enable elastic network interface provisioning for tasks. Shakeel Sorathia, VP of engineering at FOX Digital, discusses best practices for working with Amazon ECS to enable such use cases as network isolation and IP-based routing for service discovery.
CON410 - Deep Dive into Container Networking (re:Invent 2018)aniait
Building microservices lets you decouple parts of your application so you can develop and deploy code faster. But once your microservices are running, how do you ensure they can seamlessly communicate with each other? In this session, we dive deep into microservices networking. We discuss how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application. We also cover key topics like service discovery, deployments, latency, and service mesh.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Francisco Javier Ramírez Urea - IT Architect, Hoplasoftware
Guillaume Morini - SE, Docker
The integration of Kubernetes orchestration into the Docker Enterprise Platform presents deployments with interesting new abstractions for application connectivity. Devs and Ops are often challenged with rationalizing how pod networking (with CNI plugins like Calico or Flannel), Services (via kube-proxy) and Ingress work in concert to enable application connectivity within and outside a cluster. Similarly, given the dynamic and transient nature of containerized microservice workloads, how to leverage scalable and declarative approaches like network policies to express segmentation and security primitives. This session provides an illustrative walkthrough of these core concepts by going through common deployment architectures providing design, operations, and scale considerations based on experience from numerous production deployments. We will discuss Kubernetes publishing methods and deep dive into Ingress Controllers. This session will also showcase how to complement application and operations workflows with policy-driven business, compliance and security controls typically required in enterprise production deployments including going further into limiting traffic to services, session persistence, rewriting, and activating container health checks.
Migrating to AWS Fargate (CON311-R1) - AWS re:Invent 2018Amazon Web Services
AWS Fargate makes it easy to run containers by removing the need to provision, scale, or manage servers. In this session, learn the rationale behind some of the design decisions by the Fargate team and how that should influence your application design and best practices for building on Fargate. In addition, Turner Broadcasting System (TBS) dives deep into how it migrated to Fargate, the decisions that helped it along the way, and the tools it created in the process.
Running and managing a Kubernetes environment at scale can be easier than you think! In this session we will share some expert tips that can help you run production grade Kubernetes deployments on AWS. We will review native AWS services you can use to improve security, deployments, networking, logging and monitoring, and CI/CD. We will also highlight third party services that are popular across a multitude of customers.
Speaker: Mitch Beaumont, Solutions Architect, AWS
From One to Many: Diving Deeper into Evolving VPC Design (ARC310-R2) - AWS re...Amazon Web Services
Most organizations today run their production workloads inside Amazon Virtual Private Cloud (Amazon VPC). This software-defined network structure provides the boundaries that are needed for the security that an organization and its customers require. For most organizations, the natural evolution in their architecture, security, and environment involves migrating from a single VPC to multiple VPCs in the same AWS Region and across many other AWS Regions. The question of how to enforce security policies while simplifying the flow of traffic between multiple VPCs, the data center, and remote offices while adhering to AWS best practices becomes an intricate one to answer. In this chalk talk, we provide solutions to scenarios like these and more. Topics include Amazon security groups, NACLs, static and dynamic VPNs, AWS Direct Connect, IPS and IDS, transit VPC architectures, designing for security, and more.
Similar to Kubernetes Networking in Amazon EKS (CON412) - AWS re:Invent 2018 (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.