This document provides a summary of Amazon RDS and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using RDS over managing databases yourself, and how to configure, scale, secure, monitor, and back up databases using RDS. It also provides an overview of Amazon Aurora, describing its high-performance distributed architecture and how it achieves significantly better performance than MySQL.
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum and optimizing your overall capital expense can be challenging. This session presents AWS features and services along with disaster recovery architectures that you can leverage when building highly available and disaster-resilient strategies.
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.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
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
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.
Amazon S3 hosts trillions of objects and is used for storing a wide range of data, from system backups to digital media. This presentation from the Amazon S3 Masterclass webinar we explain the features of Amazon S3 from static website hosting, through server side encryption to Amazon Glacier integration. This webinar will dive deep into the feature sets of Amazon S3 to give a rounded overview of its capabilities, looking at common use cases, APIs and best practice.
See a recording of this video here on YouTube: http://youtu.be/VC0k-noNwOU
Check out future webinars in the Masterclass series here: http://aws.amazon.com/campaigns/emea/masterclass/
View the Journey Through the Cloud webinar series here: http://aws.amazon.com/campaigns/emea/journey/
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum and optimizing your overall capital expense can be challenging. This session presents AWS features and services along with disaster recovery architectures that you can leverage when building highly available and disaster-resilient strategies.
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.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
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
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.
Amazon S3 hosts trillions of objects and is used for storing a wide range of data, from system backups to digital media. This presentation from the Amazon S3 Masterclass webinar we explain the features of Amazon S3 from static website hosting, through server side encryption to Amazon Glacier integration. This webinar will dive deep into the feature sets of Amazon S3 to give a rounded overview of its capabilities, looking at common use cases, APIs and best practice.
See a recording of this video here on YouTube: http://youtu.be/VC0k-noNwOU
Check out future webinars in the Masterclass series here: http://aws.amazon.com/campaigns/emea/masterclass/
View the Journey Through the Cloud webinar series here: http://aws.amazon.com/campaigns/emea/journey/
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
This document provides an introduction to Amazon Aurora, AWS's managed relational database service. It discusses how Aurora was built to provide the speed and availability of commercial databases at the simplicity and cost-effectiveness of open source databases. The document outlines key Aurora features like automatic scaling, continuous backups, replication across Availability Zones, and integration with other AWS services. Customer case studies show how Aurora provides better performance at lower costs than alternative database options. The document also covers migration options and how Aurora offers a simpler, more cost-effective database solution than on-premises or self-managed options.
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
RDS provides a fully managed relational database service. Key features include automated provisioning and scaling, high availability, data encryption at rest, backups and read replicas. RDS supports multiple database engines like MySQL, PostgreSQL, Oracle and SQL Server. Customers can migrate databases to RDS by backing up to S3 and restoring onto a new RDS instance.
Migrating Your Databases to AWS - Deep Dive on Amazon RDS and AWS Database Mi...Amazon Web Services
The document discusses migrating databases to AWS using Amazon Relational Database Service (RDS) and AWS Database Migration Service (DMS). It outlines that RDS provides a managed relational database service and discusses engines, availability, scaling, backups and security. It then discusses DMS for migrating or replicating databases to AWS targets like RDS and Redshift. The Schema Conversion Tool is also covered for converting schemas during migrations. Real customer examples like Expedia migrating from SQL Server to AWS are provided to illustrate use cases.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
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.
Speaker: Samir Karande - Sr. Manager, Solutions Architecture, AWS
This presentation provides an overview of Amazon Elastic Block Store (EBS) and key performance concepts. EBS provides persistent block level storage volumes for use with EC2 instances. It discusses the different volume types (standard and provisioned IOPS), factors that impact performance like block size and queue depth, and best practices for architecting storage for performance and availability. The presentation also provides examples of how enterprises and applications use EBS and guidelines for minimum, production and large-scale usage.
The document discusses Amazon Aurora, a database service from AWS that is compatible with PostgreSQL and MySQL. It provides summaries of Aurora's architecture, performance advantages, and customer benefits compared to traditional databases. Specifically, the document notes that Aurora achieves higher performance and availability than PostgreSQL by using a distributed, scalable storage system and replicating data across Availability Zones. It shares performance test results showing that Aurora can be up to 3x faster than PostgreSQL for various workloads. Customers have also cited lower costs and easier management with Aurora compared to commercial databases.
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
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.
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
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.
AWS offers storage, networking, and data transfer services so you can build and deploy solutions to extend backup and archive targets to the AWS Cloud, increasing scalability, durability, security, and compliance.
What's New in Amazon RDS for Open-Source & Commercial DatabasesAmazon Web Services
This document provides an overview of Amazon Relational Database Service (RDS). RDS offers fully managed relational databases in the cloud to reduce effort, risk, and cost compared to hosting databases on-premises or unmanaged instances. It supports multiple commercial database engines including MySQL, PostgreSQL, MariaDB, Oracle, SQL Server and the proprietary Amazon Aurora. Key features of RDS include high availability, automatic backups, easy scaling, encryption, integration with other AWS services, and compliance with industry standards. Recent updates include enhanced OS monitoring, performance insights previews, and new database engines and features.
1) The document discusses Amazon S3 and Glacier object storage services. It provides an overview of features like storage classes, security practices, analytics, and use cases for large companies.
2) Key recommendations include starting to tag objects to organize data, using lifecycle policies to automate storage class transitions, and reviewing bucket security settings.
3) The presentation aims to help users better understand how to architect applications using S3 and optimize storage and access of trillions of objects stored on AWS.
This document provides an overview of Amazon Web Services (AWS) and its cloud computing capabilities. It discusses key benefits of cloud computing like agility, innovation, and focus on business problems. It then describes AWS' global infrastructure, regions, availability zones, and edge locations. The rest of the document summarizes many AWS services across various categories like compute, networking, storage, databases, analytics, developer tools, and management. It emphasizes AWS' pace of innovation, large customer base, and how no organization can remain competitive without leveraging cloud computing on 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.
SRV310 Optimizing Relational Databases on AWS: Deep Dive on Amazon RDSAmazon Web Services
Amazon RDS enables you to launch an optimally configured, secure, and highly available relational database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming administration tasks, and freeing you to focus on your applications and business. In this session, we take a closer look at how Amazon RDS works, and we review best practices to achieve performance, flexibility, and cost saving for your MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server databases on Amazon RDS. We also discuss AWS Database Migration Service, a quick and secure means for migrating your existing RDBMS investments to Amazon RDS.
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.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
This document provides an introduction to Amazon Aurora, AWS's managed relational database service. It discusses how Aurora was built to provide the speed and availability of commercial databases at the simplicity and cost-effectiveness of open source databases. The document outlines key Aurora features like automatic scaling, continuous backups, replication across Availability Zones, and integration with other AWS services. Customer case studies show how Aurora provides better performance at lower costs than alternative database options. The document also covers migration options and how Aurora offers a simpler, more cost-effective database solution than on-premises or self-managed options.
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
RDS provides a fully managed relational database service. Key features include automated provisioning and scaling, high availability, data encryption at rest, backups and read replicas. RDS supports multiple database engines like MySQL, PostgreSQL, Oracle and SQL Server. Customers can migrate databases to RDS by backing up to S3 and restoring onto a new RDS instance.
Migrating Your Databases to AWS - Deep Dive on Amazon RDS and AWS Database Mi...Amazon Web Services
The document discusses migrating databases to AWS using Amazon Relational Database Service (RDS) and AWS Database Migration Service (DMS). It outlines that RDS provides a managed relational database service and discusses engines, availability, scaling, backups and security. It then discusses DMS for migrating or replicating databases to AWS targets like RDS and Redshift. The Schema Conversion Tool is also covered for converting schemas during migrations. Real customer examples like Expedia migrating from SQL Server to AWS are provided to illustrate use cases.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
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.
Speaker: Samir Karande - Sr. Manager, Solutions Architecture, AWS
This presentation provides an overview of Amazon Elastic Block Store (EBS) and key performance concepts. EBS provides persistent block level storage volumes for use with EC2 instances. It discusses the different volume types (standard and provisioned IOPS), factors that impact performance like block size and queue depth, and best practices for architecting storage for performance and availability. The presentation also provides examples of how enterprises and applications use EBS and guidelines for minimum, production and large-scale usage.
The document discusses Amazon Aurora, a database service from AWS that is compatible with PostgreSQL and MySQL. It provides summaries of Aurora's architecture, performance advantages, and customer benefits compared to traditional databases. Specifically, the document notes that Aurora achieves higher performance and availability than PostgreSQL by using a distributed, scalable storage system and replicating data across Availability Zones. It shares performance test results showing that Aurora can be up to 3x faster than PostgreSQL for various workloads. Customers have also cited lower costs and easier management with Aurora compared to commercial databases.
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
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.
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
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.
AWS offers storage, networking, and data transfer services so you can build and deploy solutions to extend backup and archive targets to the AWS Cloud, increasing scalability, durability, security, and compliance.
What's New in Amazon RDS for Open-Source & Commercial DatabasesAmazon Web Services
This document provides an overview of Amazon Relational Database Service (RDS). RDS offers fully managed relational databases in the cloud to reduce effort, risk, and cost compared to hosting databases on-premises or unmanaged instances. It supports multiple commercial database engines including MySQL, PostgreSQL, MariaDB, Oracle, SQL Server and the proprietary Amazon Aurora. Key features of RDS include high availability, automatic backups, easy scaling, encryption, integration with other AWS services, and compliance with industry standards. Recent updates include enhanced OS monitoring, performance insights previews, and new database engines and features.
1) The document discusses Amazon S3 and Glacier object storage services. It provides an overview of features like storage classes, security practices, analytics, and use cases for large companies.
2) Key recommendations include starting to tag objects to organize data, using lifecycle policies to automate storage class transitions, and reviewing bucket security settings.
3) The presentation aims to help users better understand how to architect applications using S3 and optimize storage and access of trillions of objects stored on AWS.
This document provides an overview of Amazon Web Services (AWS) and its cloud computing capabilities. It discusses key benefits of cloud computing like agility, innovation, and focus on business problems. It then describes AWS' global infrastructure, regions, availability zones, and edge locations. The rest of the document summarizes many AWS services across various categories like compute, networking, storage, databases, analytics, developer tools, and management. It emphasizes AWS' pace of innovation, large customer base, and how no organization can remain competitive without leveraging cloud computing on 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.
SRV310 Optimizing Relational Databases on AWS: Deep Dive on Amazon RDSAmazon Web Services
Amazon RDS enables you to launch an optimally configured, secure, and highly available relational database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming administration tasks, and freeing you to focus on your applications and business. In this session, we take a closer look at how Amazon RDS works, and we review best practices to achieve performance, flexibility, and cost saving for your MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server databases on Amazon RDS. We also discuss AWS Database Migration Service, a quick and secure means for migrating your existing RDBMS investments to Amazon RDS.
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.
DAT302_Deep Dive on Amazon Relational Database Service (RDS)Amazon Web Services
Amazon RDS enables customers 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. Amazon RDS provides you six database engines to choose from, including Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of the RDS service and review the latest features available. We do a deep dive into how RDS works and the best practices to achieve the optimal performance, flexibility, and cost saving for your databases.
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.
Speakers:
Bill Baldwin - Global Enterprise Support Lead, AWS Enterprise Support
Gareth Eagar - Solutions Architect, AWS Solutions Architect
Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018Amazon Web Services
Cost and Performance Optimisation in Amazon RDS
This session is for database administrators and other technical users looking to learn the top techniques for optimising the performance and cost of operating Amazon RDS. You will leave with a toolkit of best-practices that can be applied to your deployments for achieving optimal performance, flexibility, and cost-savings.
Brad Staszcuk, Solutions Architect, Amazon Web Services
The document provides an overview of Amazon Relational Database Service (Amazon RDS) and how it can be used to manage relational databases in the AWS cloud. It discusses the various engines supported by Amazon RDS, benefits of using Amazon RDS such as automated provisioning and high availability, factors to consider in choosing an Amazon RDS engine and instance type, storage options, and methods for ensuring database security, backups, and monitoring performance.
Scaling your Application with AWS Relational Databases I AWS Dev Day 2018AWS Germany
Along with diving deep in managed databases on the cloud, like MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and MariaDB, in this session, we also looked at options to make relational databases easy to deploy and scale through automated backup and high availability, and how Amazon Aurora can provide enterprise scalability and resiliency at an open source price. Learn more about Amazon Aurora here: https://aws.amazon.com/rds/aurora/
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.
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.
10 Hacks for Optimizing MySQL in the Cloud - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to optimize your MySQL databases for high availability, performance, and disaster resilience using RDS
- Learn how to implement a well-designed and tested DR strategy using RDS MySQL Multi-AZ, Read Replicas, and more
- Learn how to utilize AWS Global Infrastructure benefits to build a well-architected MySQL database framework
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. In this session, we review the capabilities of the service and the latest available features.
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.
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. In this session, we review the service’s capabilities and its latest features. We also show you how Amazon RDS manages time-consuming database administration tasks, freeing you to focus on your applications and business.
by John McGrath, Startup Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
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.
MySQL is the world's most popular open source relational database and is used by dozens of popular open source applications. AWS provides several ways to run a MySQL application in the cloud, including Amazon EC2, Amazon RDS for MySQL, Amazon RDS for MariaDB, and Amazon Aurora. This session presents the different options for running MySQL in the AWS Cloud, discusses the different ways to migrate your MySQL database to AWS, and provide tips and tricks for optimizing your MySQL workloads in AWS. Also, a customer presents lessons learned while migrating their MySQL databases to AWS.
Database Week at the San Francisco Loft
Oracle and SQL Server on the Cloud
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open commercial databases supported by Amazon RDS.
Level: 200
Speakers:
Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
by John McGrath, Startup Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
The document discusses options for running Oracle and SQL Server databases on AWS. It describes the differences between using Amazon RDS, which provides a managed service, versus running the databases on EC2 instances, which provides more control. Key features of RDS like licensing models, versions supported, high availability and security options are summarized. Storage and networking best practices for optimizing database performance when using EC2 instances are also covered.
Similar to Amazon RDS: Deep Dive - SRV310 - Chicago AWS Summit (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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.