Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
In part one you will learn about benefits of moving Oracle Database Workloads to AWS, licensing and key aspects to consider. Part two is about understanding how to execute migrations, key success factors, and demonstration.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the six available database engines (with the seventh on the way), and examine customer success stories.
by Joyjeet Banerjee, Enterprise Solution Architect, AWS
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories. Level 100
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Amazon Web Services Korea
ccAmazon Aurora 데이터베이스는 클라우드용으로 구축된 관계형 데이터베이스입니다. Aurora는 상용 데이터베이스의 성능과 가용성, 그리고 오픈소스 데이터베이스의 단순성과 비용 효율성을 모두 제공합니다. 이 세션은 Aurora의 고급 사용자들을 위한 세션으로써 Aurora의 내부 구조와 성능 최적화에 대해 알아봅니다.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
In part one you will learn about benefits of moving Oracle Database Workloads to AWS, licensing and key aspects to consider. Part two is about understanding how to execute migrations, key success factors, and demonstration.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the six available database engines (with the seventh on the way), and examine customer success stories.
by Joyjeet Banerjee, Enterprise Solution Architect, AWS
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories. Level 100
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Amazon Web Services Korea
ccAmazon Aurora 데이터베이스는 클라우드용으로 구축된 관계형 데이터베이스입니다. Aurora는 상용 데이터베이스의 성능과 가용성, 그리고 오픈소스 데이터베이스의 단순성과 비용 효율성을 모두 제공합니다. 이 세션은 Aurora의 고급 사용자들을 위한 세션으로써 Aurora의 내부 구조와 성능 최적화에 대해 알아봅니다.
AWS Summit Seoul 2023 | 롯데면세점이 고객에게 차별화된 경험을 제공하는 방법: AWS Native 서비스를 활용한 초개인...Amazon Web Services Korea
AWS Native 서비스를 활용한 롯데면세점의 초개인화 마케팅 사례를 소개합니다. Amazon Redshift 및 Amazon SageMaker를 활용하여 면세점 이용자들의 행태를 분석하여 초개인화 마케팅을 어떻게 구축할 수 있는 지에 대한 사례를 공유하며 리테일 산업에서의 개인화 마케팅에 대한 방향성을 제시하고자 합니다.
Designing security & governance via AWS Control Tower & Organizations - SEC30...Amazon Web Services
Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we cover considerations, limitations, and security patterns when building a multi-account strategy. We explore topics such as thought pattern, identity federation, cross-account roles, consolidated logging, and account governance. We conclude by presenting an enterprise-ready landing-zone framework and providing the background needed to implement an AWS Landing Zone using AWS Control Tower and AWS Organizations.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about IPv4 vs IPv6, types of records, simple routing policy, weighted routing policy, latency routing policy, failover routing policy and geolocation routing policy
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
The benefits of running databases in the cloud are compelling but how do you get the data there? In this session we will explore how to use the AWS Database Migration Service and the AWS Schema Conversion Tool to help you to migrate, or continuously replicate, your on-premise databases to AWS.
Speaker: Jarrod Spiga, Solutions Architect, Amazon Web Services
by Isaiah Weiner, Sr. Manager of Solutions Architecture, AWS
Companies are using AWS to create and deploy efficient, fast, and cost-effective backup and restore capabilities to protect critical IT systems without incurring the infrastructure expense of a second physical site. In this session, we will talk about cloud-based services AWS provides to enable robust backup and rapid recovery of your IT infrastructure and data.
Introduction to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of Spot EC2 instances to reduce costs, and other Amazon EMR architectural best practices.
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.
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...Amazon Web Services Korea
LG 이노텍은 세계 시장을 선도하는 글로벌 소재·부품기업으로, Amazon Redshift 을 데이터 분석 플랫폼의 핵심 서비스로 활용하고 있습니다.지속적인 데이터 증가와 업무 확대에 따른 유연한 아키텍처 개선의 필요성에 대처하기 위해, 2022년에 AWS 에서 발표된 Redshift Serverless 를 활용한, 비용 최적화된 아키텍처 개선 과정의 실사례를 엿볼수 있는 기회가 됩니다.
Accelerate Oracle to Aurora PostgreSQL Migration (GPSTEC313) - AWS re:Invent ...Amazon Web Services
There is a lot of interest these days in migrating data from commercial relational databases to open-source relational databases. PostgreSQL is a great choice for migration, offering advanced features, high performance, rock-solid data integrity, and a flexible open-source license. PostgreSQL is compliant with ANSI SQL. It supports drivers for nearly all development languages, and it has a strong community of active committers and companies to provide support. In this talk, we demonstrate an overall approach for migrating an application from your current Oracle database to an Amazon Aurora PostgreSQL database.
AWS Cloud Adoption Framework and WorkshopsTom Laszewski
The presentation covers the AWS Cloud Adoption Framework (CAF). AWS CAF helps organization accelerate their cloud adoption journey. The framework includes six perspectives - business, people, governance, security, operations, and platform. These six perspectives are used during CAF Envision, Alignment, and Cloud Capability Assessment workshops to enable the art of the possible, identify and mitigate organizational and technology impediments, and score the cloud capabilities of an organization.
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code to execute your data transformations and data loading processes.
Level: Intermediate
Speakers:
Ryan Malecky - Solutions Architect, EdTech, AWS
Rajakumar Sampathkumar - Sr. Technical Account Manager, AWS
Dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
0 best practices for architecting for the cloud
1. Enable Scalability
2. Use Disposable Resources
3. Automate Your Environment
4. Loosely Couple Your Components
5. Design Services, Not Servers
6. Choose the Right Database Solutions
7. Avoid Single Points of Failure
8. Optimize for Cost
9. Use Caching
10. Secure Your Infrastructure Everywhere
Speaker: Anson Shen
AWS Summit Seoul 2023 | 롯데면세점이 고객에게 차별화된 경험을 제공하는 방법: AWS Native 서비스를 활용한 초개인...Amazon Web Services Korea
AWS Native 서비스를 활용한 롯데면세점의 초개인화 마케팅 사례를 소개합니다. Amazon Redshift 및 Amazon SageMaker를 활용하여 면세점 이용자들의 행태를 분석하여 초개인화 마케팅을 어떻게 구축할 수 있는 지에 대한 사례를 공유하며 리테일 산업에서의 개인화 마케팅에 대한 방향성을 제시하고자 합니다.
Designing security & governance via AWS Control Tower & Organizations - SEC30...Amazon Web Services
Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we cover considerations, limitations, and security patterns when building a multi-account strategy. We explore topics such as thought pattern, identity federation, cross-account roles, consolidated logging, and account governance. We conclude by presenting an enterprise-ready landing-zone framework and providing the background needed to implement an AWS Landing Zone using AWS Control Tower and AWS Organizations.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about IPv4 vs IPv6, types of records, simple routing policy, weighted routing policy, latency routing policy, failover routing policy and geolocation routing policy
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
The benefits of running databases in the cloud are compelling but how do you get the data there? In this session we will explore how to use the AWS Database Migration Service and the AWS Schema Conversion Tool to help you to migrate, or continuously replicate, your on-premise databases to AWS.
Speaker: Jarrod Spiga, Solutions Architect, Amazon Web Services
by Isaiah Weiner, Sr. Manager of Solutions Architecture, AWS
Companies are using AWS to create and deploy efficient, fast, and cost-effective backup and restore capabilities to protect critical IT systems without incurring the infrastructure expense of a second physical site. In this session, we will talk about cloud-based services AWS provides to enable robust backup and rapid recovery of your IT infrastructure and data.
Introduction to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of Spot EC2 instances to reduce costs, and other Amazon EMR architectural best practices.
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.
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...Amazon Web Services Korea
LG 이노텍은 세계 시장을 선도하는 글로벌 소재·부품기업으로, Amazon Redshift 을 데이터 분석 플랫폼의 핵심 서비스로 활용하고 있습니다.지속적인 데이터 증가와 업무 확대에 따른 유연한 아키텍처 개선의 필요성에 대처하기 위해, 2022년에 AWS 에서 발표된 Redshift Serverless 를 활용한, 비용 최적화된 아키텍처 개선 과정의 실사례를 엿볼수 있는 기회가 됩니다.
Accelerate Oracle to Aurora PostgreSQL Migration (GPSTEC313) - AWS re:Invent ...Amazon Web Services
There is a lot of interest these days in migrating data from commercial relational databases to open-source relational databases. PostgreSQL is a great choice for migration, offering advanced features, high performance, rock-solid data integrity, and a flexible open-source license. PostgreSQL is compliant with ANSI SQL. It supports drivers for nearly all development languages, and it has a strong community of active committers and companies to provide support. In this talk, we demonstrate an overall approach for migrating an application from your current Oracle database to an Amazon Aurora PostgreSQL database.
AWS Cloud Adoption Framework and WorkshopsTom Laszewski
The presentation covers the AWS Cloud Adoption Framework (CAF). AWS CAF helps organization accelerate their cloud adoption journey. The framework includes six perspectives - business, people, governance, security, operations, and platform. These six perspectives are used during CAF Envision, Alignment, and Cloud Capability Assessment workshops to enable the art of the possible, identify and mitigate organizational and technology impediments, and score the cloud capabilities of an organization.
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code to execute your data transformations and data loading processes.
Level: Intermediate
Speakers:
Ryan Malecky - Solutions Architect, EdTech, AWS
Rajakumar Sampathkumar - Sr. Technical Account Manager, AWS
Dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
0 best practices for architecting for the cloud
1. Enable Scalability
2. Use Disposable Resources
3. Automate Your Environment
4. Loosely Couple Your Components
5. Design Services, Not Servers
6. Choose the Right Database Solutions
7. Avoid Single Points of Failure
8. Optimize for Cost
9. Use Caching
10. Secure Your Infrastructure Everywhere
Speaker: Anson Shen
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us to understand best practices for scaling your resources from one to millions of users. We’ll show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Migrating Oracle to Aurora PostgreSQL Utilizing AWS Database Migration Servic...Amazon Web Services
Appriss creates actionable information and insights gained from their data and analytics solutions, their customers are able to more effectively save lives, mitigate fraud, and reduce risk. They call it “knowledge for good”. One of the many challenges facing Appriss was how to migrate a multi-terabyte Oracle database from one of their own data centers into AWS with minimal disruption to their applications and customers while reducing cost and not sacrificing security, availability, and reliability. This session provides an overview and demo of Aurora PostgreSQL and AWS Database Migration Service (DMS) as Appriss discusses their primary drivers for choosing the combination, preparation, challenges faced throughout the process, results, and future plans.
Come scalare da zero ai tuoi primi 10 milioni di utenti.pdfAmazon Web Services
AWS Summit Milano 2018
Come scalare da zero ai tuoi primi 10 milioni di utenti
Speaker: Giorgio Bonfiglio, AWS Technical Account Manager - Enterprise Support
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
A growing number of organizations today need to deploy and operate Internet-scale applications, which requires Internet-scale database services. Join us to learn about the broad and deep AWS portfolio of database services, with solutions that provide the scalability, flexibility, resilience, security, and regulatory compliance to help enable you to achieve your mission, no matter how small or how large your needs might be. You’ll learn about how to manage data to meet a wide range of needs – from different data sizes, to varieties of data types, to differing requirements for speed and complexity. In this session you will also learn how you can achieve both cost savings and increase agility through AWS innovation that helps you move beyond legacy commercial databases.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
This session will highlight the most impactful announcements made at AWS re:Invent 2017 while giving you ideas on key use cases for new services and features. We’ll cover major themes of the conference, the new services and features within those themes and how they work together to make it faster and easier to build functionality into your app.
Gaining Better Observability of Your VMs with Amazon CloudWatch - AWS Online ...Amazon Web Services
Learning Objectives:
- Leverage CloudWatch Agent to easily monitor VM health in a unified way
- Combine utilization, performance, and alarms to build operational dashboard
- Understand how RackSpace is leveraging CloudWatch Agent to manage AWS resources
Achieving Global Consistency Using AWS CloudFormation StackSets - AWS Online ...Amazon Web Services
Learning Objectives:
- Understand how AWS CloudFormation StackSets work and how to use them
- Use StackSets to manage AWS resources across multiple regions in multiple AWS accounts
- Incorporate StackSets into Disaster Recovery and account isolation strategies
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
How to Effectively Plan for Disaster Recovery on AWS (CMP204-S) - AWS re:Inve...Amazon Web Services
Although the AWS Cloud provides a new level of durability and resiliency, no workload is immune to disasters—be it due to accidental reasons or malicious intent. Even in the cloud, you have to ensure continuity. Traditional disaster recovery (DR) solutions are not optimized for the cloud and often result in higher costs, increased complexity, and operational challenges. To maintain compliance and business continuity service-level agreements, AWS DR planning requires a completely different approach to deal with cross-account, cross-region workload testing and failover. In this session, learn how you can set up an effective DR plan for your AWS environments. This session is brought to you by AWS partner, Druva.
How to build scalable and resilient applications in the cloud - AWS Summit Ca...Amazon Web Services
Speaker: Adrian Hornsby, AWS
Level: 300
Ever wondered how companies delivering global services like Amazon or Netflix are architecting and testing their software systems? If you are curious and wanna learn how they do it - this is for you! In this session, will deep dive 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.
Lessons Learned from a Large-Scale Legacy Migration with Sysco (STG311) - AWS...Amazon Web Services
Migrating enterprise applications to the cloud requires thorough planning and consideration for a number of variables. Should you move your application to a similar infrastructure in the cloud (in a lift-and-shift scenario)? Or should you refactor your application to take advantage of cloud-native services for object storage, serverless, auto-scaling, and so on? In this session, an AWS expert walks through the ten commandments that enterprises should follow when moving applications to the cloud and refactoring them for optimal performance. Then, a representative of Sysco Corporation, a Fortune 50 company, shares how the company migrated mission-critical legacy business systems and modernized them to take advantage of the AWS Cloud. Learn how the company moved its enterprise purchasing system, which processes millions of dollars in sales daily, to the AWS Cloud while achieving a 60% decrease in run costs. Also discover the lessons learned and highlights of the migration, which resulted in 30% increase in performance, 3x improvement in user accessibility, and a significant decrease in order backlogs and outages.
Accelerate Analytics at Scale with Amazon EMR - AWS Summit Sydney 2018Amazon Web Services
Accelerate Data Analytics at Scale with Amazon EMR
In this session you will learn the best practices and various use cases for performing data analytics at scale with Amazon EMR. We will introduce you to Amazon EMR design patterns and share how to use big data analytics to provide business insights.
Jonathan Fritz, Principal Product Manager, Amazon Web Services
When Fujirebio Diagnostics, a leading producer of in vitro diagnostics, shifted to virtualization and the cloud, it wanted to replace its costly, unreliable, and cumbersome backup solution. Fujirebio turned to Amazon Web Services (AWS) and Rubrik for a more modern solution. The company used Rubrik Cloud Data Management to eliminate complex tape backup and archive mission critical production systems on AWS, as well as extend on-site storage capacity. The solution automates backup, recovery, and archival on AWS, helping the company drive operational efficiency and resilience. In this webinar, you will learn how Fujirebio Diagnostics used AWS and Rubrik to simplify data protection, achieve fast recovery, reduce management time, and lower total cost of ownership by 75 percent.
AWS Speaker: Mike Ruiz, Partner Solutions Architect
Rubrik Speakers: Kenneth Hui, Technical Marketing Engineer & Mark Haus, Sales Engineer
How UCSD Simplified Data Protection with Rubrik and AWS (STG207-S) - AWS re:I...Amazon Web Services
Are you dealing with legacy system complexities when integrating your backup and recovery solution with the cloud? Rubrik can help you simplify data protection with its policy-based backup, recovery, and archival capabilities for hybrid applications. In this session, learn how University of California San Diego (UCSD) leverages Rubrik and AWS to help simplify data protection, achieve rapid data recovery, and scale for data growth. Join us to learn how UCSD replaced expensive and unreliable backup tapes with AWS storage, and how to move data to AWS and protect your cloud-native workloads running on AWS. This session is brought to you by AWS partner, Rubrik.
Similar to Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) - 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.