AWS fornisce una suite di servizi e tools volti a eseguire workloads SAP HANA business-critical sul Cloud. In questa sessione, discuteremo come integrare i servizi AWS, i tools nativi SAP HANA per la high availability (HA), e software di terze parti per implementare i sistemi SAP HANA in HA sul Cloud AWS. Descriveremo le varie opzioni che fanno uso di diverse features AWS, di multi-Availability Zones, di global regions, e discuteremo i pros, cons, e costi correlati di ciascuna opzione.
[REPEAT 1] Deep Dive on Amazon Aurora with MySQL Compatibility (DAT304-R1) - ...Amazon Web Services
Amazon Aurora is a fully managed relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. With Aurora, we've completely reimagined how databases are built for the cloud, providing you higher performance, availability, and durability than previously possible. In this session, we dive deep into the architectural details of Aurora with MySQL compatibility, and we review recent innovations, such as parallel query, backtrack, serverless, and multi-master. We also share best practices for utilizing the power of relational databases at cloud scale.
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
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.
Transform Your Organization with Real Real-Time MonitoringAmazon Web Services
Acquia, a Drupal web experience provider, faced a common growing pain: with its expanding customer base and AWS workloads came numerous monitoring systems and scattered data from disparate sources and teams. The company knew it needed better insight into its customers’ resources and quicker access to data it could trust. Join our webinar to see why Acquia turned to SignalFx for real real-time monitoring for its AWS environment, enabling its entire organization with operational insights, from development all the way through sales. Learn how Acquia consolidated the number of monitoring services used, improved the quality of its customer services, and saved more than half a million dollars per year in costs.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Best Practices for Running Oracle Databases on Amazon RDS (DAT317) - AWS re:I...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) continues to be a popular choice for Oracle DBAs moving new and legacy workloads to the cloud. In this session, we discuss how Amazon RDS for Oracle helps DBAs focus their time where it matters most. We cover recent RDS Oracle features, and we go deep on key functionality that enables license optimization, performance, and high availability for Oracle databases. We also hear directly from an AWS customer about their journey to Amazon RDS and the best practices that helped make their move successful.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
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.
[REPEAT 1] Deep Dive on Amazon Aurora with MySQL Compatibility (DAT304-R1) - ...Amazon Web Services
Amazon Aurora is a fully managed relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. With Aurora, we've completely reimagined how databases are built for the cloud, providing you higher performance, availability, and durability than previously possible. In this session, we dive deep into the architectural details of Aurora with MySQL compatibility, and we review recent innovations, such as parallel query, backtrack, serverless, and multi-master. We also share best practices for utilizing the power of relational databases at cloud scale.
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
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.
Transform Your Organization with Real Real-Time MonitoringAmazon Web Services
Acquia, a Drupal web experience provider, faced a common growing pain: with its expanding customer base and AWS workloads came numerous monitoring systems and scattered data from disparate sources and teams. The company knew it needed better insight into its customers’ resources and quicker access to data it could trust. Join our webinar to see why Acquia turned to SignalFx for real real-time monitoring for its AWS environment, enabling its entire organization with operational insights, from development all the way through sales. Learn how Acquia consolidated the number of monitoring services used, improved the quality of its customer services, and saved more than half a million dollars per year in costs.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Best Practices for Running Oracle Databases on Amazon RDS (DAT317) - AWS re:I...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) continues to be a popular choice for Oracle DBAs moving new and legacy workloads to the cloud. In this session, we discuss how Amazon RDS for Oracle helps DBAs focus their time where it matters most. We cover recent RDS Oracle features, and we go deep on key functionality that enables license optimization, performance, and high availability for Oracle databases. We also hear directly from an AWS customer about their journey to Amazon RDS and the best practices that helped make their move successful.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
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.
Amazon Aurora Storage Demystified: How It All Works (DAT363) - AWS re:Invent ...Amazon Web Services
Amazon Aurora is a high performance, highly scalable database service with MySQL- and PostgreSQL-compatibility. One of its key components is an innovative storage system that is optimized for database workloads and specifically designed to take advantage of modern cloud technology. Hear from the team that built Amazon Aurora's storage system on how the system is designed, how it works, and what you need to know to get the most out of it.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. 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.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
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.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
AWS and SAP are longtime partners, with thousands of enterprise customers running their SAP workloads on AWS. AWS had a substantial presence at this year's SAP SAPPHIRE NOW conference in Orlando (June 4-7), announcing a range of new features and releases; hosting seven theatre sessions; and holding 38 in-booth sessions with customers and partners. Join our webinar for a recap of AWS announcements from the show, and learn how AWS and SAP collaboration can benefit your business.
In order to respond to today’s rapid changing business climate, companies need to take advantage of the new possibilities enabled by the cloud. Learn why more customers, including BP, Kellogg, Brigade Group and DoHome are running their SAP software, including production environments, on AWS. In this session we will cover how to deploy SAP HANA on AWS in 1 hour and dive deep on the migration approach with customer examples. We will also share how you can design highly available architecture to support mission critical SAP workloads.
Speaker: Derek Ewell, Solutions Architect, Amazon Web Services APAC
by Gowri Balasubramanian, AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. It combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this session, we cover some of the key innovations in the database engine and storage layers, explain recently announced features, such as Aurora Serverless, Aurora Multi-Master, and Aurora Parallel Query, and discuss best practices and optimal configurations. See why Aurora is a great fit for new application development and for migrations from overpriced, restrictive commercial databases.
ElastiCache: Deep Dive Best Practices and Usage Patterns - AWS Online Tech TalksAmazon Web Services
"Learning Objectives:
- What is Redis and why do you need it
- Get an inside look at Amazon ElastiCache for Redis design and architecture
- Hear about common usage patterns"
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
by Jon McCamant, Sr. Technical Delivery Manager & Mikhail Prudnikov, Sr. Solutions Architect, AWS
A decade ago, relational databases were used for nearly every use case. Today, new technologies are enabling a revolution in databases, creating new options for document, key:value, in-memory, search, and graph capabilities that do not use relational tables. We’ll discuss this revolution in database options and who is using them.
Design, Deploy, and Optimize Microsoft SQL Server on AWS (GPSTEC314) - AWS re...Amazon Web Services
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon EC2 and Amazon RDS. We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
New Features for Building Powerful Containerized Microservices on AWS - AWS O...Amazon Web Services
"Learning Objectives:
- Learn the basics of DNS service discovery
- Learn common implementation patterns for service discovery
- Learn how to start using Amazon ECS service discovery"
Microsoft SQL Server is a commonly-used commercial relational database, especially for organizations that use Microsoft development tools. We’ll look at how to run SQL Server on the AWS Cloud, with examples of organizations using it.
ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores (DAT302-R1) ...Amazon Web Services
In this session, we provide a behind the scenes peek to learn about the design and architecture of Amazon ElastiCache. See common design patterns with our Redis and Memcached offerings and how customers use them for in-memory data processing to reduce latency and improve application throughput. We review ElastiCache best practices, design patterns, and anti-patterns.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
Amazon Aurora Storage Demystified: How It All Works (DAT363) - AWS re:Invent ...Amazon Web Services
Amazon Aurora is a high performance, highly scalable database service with MySQL- and PostgreSQL-compatibility. One of its key components is an innovative storage system that is optimized for database workloads and specifically designed to take advantage of modern cloud technology. Hear from the team that built Amazon Aurora's storage system on how the system is designed, how it works, and what you need to know to get the most out of it.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. 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.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
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.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
AWS and SAP are longtime partners, with thousands of enterprise customers running their SAP workloads on AWS. AWS had a substantial presence at this year's SAP SAPPHIRE NOW conference in Orlando (June 4-7), announcing a range of new features and releases; hosting seven theatre sessions; and holding 38 in-booth sessions with customers and partners. Join our webinar for a recap of AWS announcements from the show, and learn how AWS and SAP collaboration can benefit your business.
In order to respond to today’s rapid changing business climate, companies need to take advantage of the new possibilities enabled by the cloud. Learn why more customers, including BP, Kellogg, Brigade Group and DoHome are running their SAP software, including production environments, on AWS. In this session we will cover how to deploy SAP HANA on AWS in 1 hour and dive deep on the migration approach with customer examples. We will also share how you can design highly available architecture to support mission critical SAP workloads.
Speaker: Derek Ewell, Solutions Architect, Amazon Web Services APAC
by Gowri Balasubramanian, AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. It combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this session, we cover some of the key innovations in the database engine and storage layers, explain recently announced features, such as Aurora Serverless, Aurora Multi-Master, and Aurora Parallel Query, and discuss best practices and optimal configurations. See why Aurora is a great fit for new application development and for migrations from overpriced, restrictive commercial databases.
ElastiCache: Deep Dive Best Practices and Usage Patterns - AWS Online Tech TalksAmazon Web Services
"Learning Objectives:
- What is Redis and why do you need it
- Get an inside look at Amazon ElastiCache for Redis design and architecture
- Hear about common usage patterns"
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
by Jon McCamant, Sr. Technical Delivery Manager & Mikhail Prudnikov, Sr. Solutions Architect, AWS
A decade ago, relational databases were used for nearly every use case. Today, new technologies are enabling a revolution in databases, creating new options for document, key:value, in-memory, search, and graph capabilities that do not use relational tables. We’ll discuss this revolution in database options and who is using them.
Design, Deploy, and Optimize Microsoft SQL Server on AWS (GPSTEC314) - AWS re...Amazon Web Services
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon EC2 and Amazon RDS. We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
New Features for Building Powerful Containerized Microservices on AWS - AWS O...Amazon Web Services
"Learning Objectives:
- Learn the basics of DNS service discovery
- Learn common implementation patterns for service discovery
- Learn how to start using Amazon ECS service discovery"
Microsoft SQL Server is a commonly-used commercial relational database, especially for organizations that use Microsoft development tools. We’ll look at how to run SQL Server on the AWS Cloud, with examples of organizations using it.
ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores (DAT302-R1) ...Amazon Web Services
In this session, we provide a behind the scenes peek to learn about the design and architecture of Amazon ElastiCache. See common design patterns with our Redis and Memcached offerings and how customers use them for in-memory data processing to reduce latency and improve application throughput. We review ElastiCache best practices, design patterns, and anti-patterns.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
Enabling Your Organization’s Amazon Redshift Adoption – Going from Zero to He...Amazon Web Services
Ever wonder why some companies are able to achieve business goals around Amazon Redshift adoption at breakneck speed? Does figuring out the right architecture for a Amazon Redshift deployment for your organization keep you up at night? Proven patterns and “quickstart” environments are the keys to success. As a stakeholder in your company’s success, you want to bring a clear and concise business solution to the table that fits the business need. In this session, we focus on using infrastructure as code to present a variety of common Amazon Redshift deployment patterns used across other AWS customers so that you can hit the ground running. Additionally, presentations coupled with hands-on labs reinforce the patterns presented in this session.
Resiliency Testing: Verify That Your System Is as Reliable as You Think (ARC4...Amazon Web Services
In this workshop, we illustrate how to set up your own resiliency testing. We set up a simple three-tier architecture and explore the failure modes with Bash and Python scripts. To participate, you need an account that can run AWS CloudFormation, AWS Step Functions, AWS Lambda, Application Load Balancers, Amazon EC2, Amazon RDS (MySQL), and the AWS Database Migration Service, and Route53.
Training Overview:
This free, online training will provide an introduction to the core AWS services for compute, storage, database, and networking. Our AWS technical expert will provide an overview of AWS, sharing key features, use cases, best practices, and walk through technical demos. There will be AWS experts available to answer your questions one-on-one.
Who should attend:
Virtual AWSome Day is ideal for IT managers, system engineers, system administrators, and architects who are eager to learn more about AWS cloud computing.
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Amazon Web Services
"Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop/Spark to AWS in order to save costs, increase availability, and improve performance. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. This session focuses on key motivations to move to the cloud. It details key architectural changes and the benefits of migrating Hadoop/Spark workloads to the cloud.
"
[NEW LAUNCH!] Deep Dive on Amazon RDS on Vmware (DAT375) - AWS re:Invent 2018Amazon Web Services
Amazon RDS on VMware makes it easy for you to set up, operate, and scale databases in on-premises and hybrid environments, and to migrate them to AWS. We'll cover how it automates management of your on-premises databases, and enables business continuity and workload migration through hybrid database architectures - all using a single, simple interface. See examples of Amazon RDS on VMware in action, with functionality including simple backup and restore, performance monitoring and optimization, and hybrid disaster recovery scenarios.
Deep Dive into AWS X-Ray: Monitor Modern Applications (DEV324) - AWS re:Inven...Amazon Web Services
Are you spending hours trying to understand how customers are impacted by performance issues and faults in your service-oriented applications? In this session, we show you how customers are using AWS X-Ray to reduce mean time to resolution, get to the root cause faster, and determine customer impact. In addition, one of our X-Ray customers, ConnectWise, presents a case study and best practices on how it is leveraging X-Ray in its production environment. We also show you how to use X-Ray with applications built using AWS services, such as Amazon Elastic Container Service for Kubernetes (Amazon EKS), AWS Fargate, Amazon Elastic Container Service (Amazon ECS), and AWS Lambda to achieve the above.
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
Architecting SAP on Amazon Web Services - SVC216 - Chicago AWS SummitAmazon Web Services
In this session, meet SAP-on-AWS experts to discuss what it takes to implement an SAP landscape on AWS. Starting with a typical customer requirement and sizing, we talk through the process involved in choosing the right organization and procedures to deploy SAP on AWS, from compute configurations and storage to security, management, and monitoring.
Module 1: AWS Cloud Concepts, VPC, and Security Groups - Virtual AWSome Day J...Amazon Web Services
Module 1: AWS Cloud Concepts / Infrastructure, VPC, and Security Groups
Virtual AWSome Day:
- Step-by-step introduction to the core AWS services for compute, storage, database, and networking.
- ideal for IT managers, system engineers, system administrators, and architects who are eager to learn more about cloud computing.
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
This session will focus on how leveraging Fargate and its serverless approach to deploying and managing containers will help increase operational efficiencies and reduce the time to ramp up your operations to run production containerized workloads. Datree will share their journey to adopt containers and the steps they were able to accelerate and avoid by using Fargate as well do a demo.
ENT202 Breaking Barriers: Move Enterprise SAP Customers to SAP HANA on AWS in...Amazon Web Services
An amazing number of enterprise customers are moving their entire SAP landscapes, including production environments, to AWS to increase business agility and reduce costs. Some examples of enterprise customers running their core businesses on AWS today are British Petroleum, Kellogg’s, and Lionsgate. Learn how SAP customers are running mission-critical workloads on AWS and how we guide Fortune 50 companies as they rapidly adopt emerging technologies and accelerate greater innovation with the AWS Cloud.
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...Amazon Web Services
AWS App Mesh is a service mesh that makes it easy to monitor and control communications for containerized microservices running on AWS. Join us to learn about how AWS can give you end-to-end visibility, and help manage traffic routing to ensure high availability for your services. We will cover the benefits of service mesh, capabilities provided by AWS App Mesh and how you can use AWS App Mesh with AWS, partner, and community tools.
Inside AWS: Technology Choices for Modern Applications (SRV305-R1) - AWS re:I...Amazon Web Services
AWS offers a wide range of cloud computing services and technologies, but we rarely state opinions about which services and technologies customers should choose. When it comes to building our own services, our engineering groups have strong opinions, and they express them in the technologies they pick. Join Tim Bray, Senior Principal Engineer, to hear about the high-level choices that developers at AWS and our customers have to make. Here are a few: Are microservices always the way to go? Serverless, containers, or serverless containers? Is relational over? Is Java over? The talk is technical and based on our experience in building AWS services and working with customers on their cloud-native apps.
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
Similar to SAP-HANA in high Availability su AWS-Webinar (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.
14. AWS Global Infrastructure
Region
The AWS Cloud infrastructure:
• A Region (19) is a physical location in the world where we
have multiple Availability Zones
• Availability Zones (57) consist of one or more discrete
data centers, each with redundant power, networking, and
connectivity, housed in separate facilities. Applications and
Data are replicated in real time and consistent in the
different AZs
1
N
2 1
N
2
1
N
2
Low-latency
ensures real
data replication
Distance
ensures
high
availability
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2
1
N
2 1
N
2
1
N
2 1
N
2
1
N
2 1
N
2
1
N
2 1
N
2
1
N
2 1
N
2
1
N
2 1
N
21
N
2 1
N
2 1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
1
N
2 1
N
2
1
N
2
AWS Regions (19)
AZs (57)
1
N
2 1
N
2
1
N
2
1
N
2
N. Virginia
Ohio
N. California
Oregon
Mumbai
Seoul
Singapore
Sydney
Tokyo
Canada
Beijing
Frankfurt
IrelandLondonSão Paulo GovCloud (US-West)
1
N
2 1
N
2
Ningxia
1
N
2 1
N
2
1
N
2
Paris
1
N
2