The document provides an overview of database migration options using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). It discusses how DMS can be used to migrate databases across different database platforms with minimal downtime. It also outlines how SCT can be used to convert schemas from commercial databases to open-source databases like PostgreSQL. The document shares customer examples and benefits of using DMS and SCT for heterogeneous, scale-up, and split migrations. It also lists available resources for customers on DMS and SCT.
Oracle DB를 AWS로 이관하는 방법들 - 서호석 클라우드 사업부/컨설팅팀 이사, 영우디지탈 :: AWS Summit Seoul 2021Amazon Web Services Korea
Oracle DBMS 는 국내 대기업에서 압도적으로 가장 많이 사용하는 DB 로, 이 세션에서는 Oracle DB 를 AWS 로 이관하는 방법들에 대하여 살펴보겠습니다. 환경에 따라 Oracle DB 를 이관하는 어떤 방법들이 있는지 알아보며, AWS DMS(Database Migration Service) 를 사용하여 효과적으로 이관할수 있는 방법을 소개합니다. Oracle DB 를 클라우드 환경으로 이관할 때 유의해야할 포인트들에 대해 함께 공유합니다.
This document summarizes a presentation on cloud migration best practices. It discusses common drivers for cloud migration like cost reduction. It outlines a three phase approach to migration - readiness assessment, readiness and planning, and migration and operations. It provides guidance on assessing migration readiness in areas like people, security, and visibility. It also discusses tools that can help with migration and best practices around methodology, governance, and staffing commitment.
Cloud Migration, Application Modernization, and Security Tom Laszewski
As AWS continues to expand, enterprise customers are looking to our partner ecosystem to assist in migrating their workloads to the cloud. This session describes the challenges, lessons learned and best practices for large scale application migrations. We will use real examples from our consulting partners and AWS Professional Services to illustrate how to move workloads to the cloud while modernizing the associated applications to take advantage of AWS’ unique benefits. We will also dive into how to use an array of AWS services and features to improve a customer’s security posture as they are migrating and once they are up and running in the cloud
The document discusses Microsoft's Cloud Adoption Framework for Azure. It provides guidance, best practices and tools to help organizations align their business and technology strategies for cloud migration. The framework takes a phased approach including defining strategy, planning, preparing infrastructure with landing zones, adopting workloads, managing and governing resources. It warns against common pitfalls like trying to mirror on-premises environments, not involving stakeholders, and missing critical planning steps.
This document provides an overview of Mustafa Kara's background and expertise in datacenter transformation. It discusses his 10 years of experience in roles such as senior consultant, Azure MVP, technical manager, and technical trainer. It then outlines his work as a speaker and writer for Microsoft events, Virtual Academy, universities, and personal websites. The rest of the document discusses strategies for transforming the datacenter, including moving from on-premises physical servers and VMs to a hybrid cloud model using public cloud off-premises and cloud on-premises. It highlights tools like Azure Migrate and database migration services that can help analyze costs and migrate applications, VMs, and data.
In part one you will learn about benefits of moving Oracle Database Workloads to AWS, licensing and key aspects to consider. Part two is about understanding how to execute migrations, key success factors, and demonstration.
Migrating large fleets of legacy applications to AWS cloud infrastructure requires careful planning, since each phase needs to balance risk tolerance against the speed of migration.
Through participation in many large-scale migration engagements with customers, AWS Professional Services has developed a set of successful best practices, tools, and techniques that help migration factories optimize speed of delivery and success rate. In this session, we cover the complete lifecycle of an application portfolio migration with special emphasis on how to organize and conduct the assessment and how to identify elements that can benefit from cloud architecture.
This webinar discusses RISO Inc.'s experience migrating their on-premise data center to the AWS cloud with assistance from Apps Associates. [1] Apps Associates designed and implemented the new infrastructure on AWS, migrating applications like Oracle ERP and SQL servers. [2] This provided benefits like a 35% reduction in backup costs, 50% fewer IT vendors, and the ability to relocate offices without interrupting operations. [3] The webinar explores considerations for cloud migrations and the hybrid cloud model.
Analyze key aspects to be considered before embarking on your cloud journey. The presentation outlines the strategies, approach, and choices that need to be made, to ensure a smooth transition to the cloud.
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.
Cloud migration is the process of transferring databases, applications, and IT processes into the cloud, or from one cloud to another. Migration in cloud computing has become quite popular among organizations as it offers anytime, anywhere access. Read this practical guide to cloud migration to know more.
The document discusses considerations for organizations embarking on a cloud journey. It outlines four stages of cloud adoption: Project, Foundation, Migration, and Optimization & Reinvention. Organizations that accelerate their adoption realize value earlier. The AWS Cloud Adoption Framework (CAF) introduces six perspectives to help develop a structured approach: business, people, governance, platform, security, and operations. The CAF can help align cloud strategy to business outcomes and execute initiatives to realize desired outcomes through a successful cloud journey.
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
More and more enterprise companies are migrating to the AWS Cloud and there are a number of reasons why. While every organization is going to have their own unique motivations, common drivers include exiting data centers, increasing business agility, improving workforce productivity, gaining transparency in operational costs and reducing risk.
The AWS Migration Acceleration Program (MAP) is designed to help enterprises that are committed to a migration journey achieve a range of these business benefits by migrating existing workloads to Amazon Web Services. In this session, you will learn about proven migration patterns, methods and tools that AWS has delivered successfully to hundreds of enterprise customers globally that will help you accelerate migrations, reduce risk and quickly realize value.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
Database Migration Using AWS DMS and AWS SCT (GPSCT307) - AWS re:Invent 2018Amazon Web Services
Database migrations are an important step in any journey to AWS. In this session, we show you how to get started with AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to quickly and securely migrate your databases to AWS. Learn how to simplify your database migrations by using this service to migrate your data to and from commercial and open-source databases. We also explain how you can perform homogenous migrations such as MySQL to MySQL, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...Amazon Web Services
This session discusses strategies, tools, and techniques for migrating enterprise software systems to AWS. We consider applications like Oracle eBusiness Suite, SAP, PeopleSoft, JD Edwards, and Siebel. These applications are complex by themselves; they are frequently customized; they have many touch points on other systems in the enterprise; and they often have large associated databases. Nevertheless, running enterprise applications in the cloud affords powerful benefits. We identify success factors and best practices.
Cloud migration is more than simply a business efficiency or a cost-saving measure. It’s a critical step towards digital transformation, innovation and operational resilience that has opened up opportunities for those who’ve embraced cloud adoption.
Whether you are looking to embark on your cloud migration or scaling the number of applications you’re moving to the cloud, it does not need to be a daunting task or one that you go at alone. AWS offers 10 years of experience helping businesses to efficiently move their legacy on-premises systems to the cloud. We work closely alongside numerous local delivery partners to help you meet your business needs.
Our Cloud Migration insights forum helps you to learn how to simplify your cloud journey with AWS.
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.
How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? In this session you will learn about the AWS Database Migration Service (DMS) and the AWS Schema Migration Tool (SCT). You can use these tools to convert your commercial database and database warehouse to open-source engines or AWS-native services, such as Amazon Aurora and Redshift.
Speakers:
Saurabh Saxena - Principal Technical Account Manager, AWS
Chris England - Sr. Technical Account Manager, AWS
AWS는 고객의 기존 데이터베이스를 쉽게 클라우드로 이전할 수 있도록 데이터베이스 전환을 돕는 AWS Database Migration Service와 AWS Schema Conversion Tool을 제공합니다. 이 강연에서는 이 도구들을 활용하여 오라클 데이터베이스를 Amazon Aurora 데이터베이스로 이전하는 방법에 대하여 실습을 통하여 학습할 예정입니다.
연사: John Winford, 아마존 웹서비스 시니어 테크니컬 매니저
김상필, 아마존 웹서비스 솔루션즈 아키텍트
This document provides an overview of AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) for migrating and replicating databases to AWS. It discusses how DMS supports migration across many database engines like Oracle, SQL Server, MySQL, PostgreSQL and more. It also outlines when to use DMS and SCT for modernization, migration or replication use cases. The document then demonstrates how DMS works through database migration and change data capture processes. It shares examples of how customers have used DMS and SCT for heterogeneous, scale up and split migrations. It concludes with details on DMS pricing and available resources.
This document discusses database migration and replication using AWS services. It provides an overview of AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) and how they can be used to migrate databases to AWS, replicate data across different databases, and modernize database platforms. Specific migration use cases are presented, along with a demonstration and discussion of pricing and resources available to customers.
Database Migration – Simple, Cross-Engine and Cross-Platform MigrationAmazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with M...Amazon Web Services
This document provides an overview of database migration using AWS Database Migration Service (DMS). It discusses how DMS helps provision databases quickly in the cloud with minimal downtime for scaling and patching. It also summarizes how DMS can automate migrations between on-premises and cloud databases with change data capture and replication. The document shares examples of how Expedia and Thomas Publishing have used DMS to migrate databases to Amazon Aurora. It concludes by listing resources available to customers for DMS and the AWS Schema Conversion Tool.
Migrating Your Oracle Database to PostgreSQL - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the capabilities of the PostgreSQL database
- Learn about PostgreSQL offerings on AWS
- Learn how to migrate from Oracle to PostgreSQL with minimal disruption
Migrating Your Oracle Database to PostgreSQL - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the capabilities of the PostgreSQL database
- Learn about PostgreSQL offerings on AWS
- Learn how to migrate from Oracle to PostgreSQL with minimal disruption
database migration simple, cross-engine and cross-platform migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we spend most of the time demonstrating the product and showing use cases designed to help your business.”
Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...Amazon Web Services
• Understand the issues with commercial database pricing and licensing.
• Learn about the benefits of Amazon Aurora for improving performance and decreasing costs.
• See how AWS Database Migration Service helps with your migration.
• See how AWS Schema Conversion Tool makes conversions simple and quick.
If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with M...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We'll also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
AWS re:Invent 2016: Workshop: Using the Database Migration Service (DMS) for ...Amazon Web Services
It can help you do much more. You can use DMS to consolidate multiple databases into a single database or split a single database into multiple databases. You can also use DMS for data distribution to multiple systems. For both of these use cases your source database can be outside of AWS (on premises) or in AWS (EC2 or RDS). DMS can also be used for near real-time replication of data. Replication can be done to one or more targets within AWS, in the same region or across regions. You can also replicate data from databases within AWS to databases outside of AWS. In this session we will discuss all these usage patterns and help you try them out yourselves.
Prerequisites:
You should have good database knowledge and at least some experience with Amazon RDS or Amazon Aurora.
Participants should have an AWS account established and available for use during the workshop.
Please bring your own laptop.
Database migration simple, cross-engine and cross-platform migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We'll also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with M...Amazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We'll also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
The document discusses AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) for migrating and replicating databases to AWS. DMS can migrate databases between on-premises, EC2, and AWS databases like Aurora and Redshift. SCT converts database schemas between open source and proprietary formats. Together these services allow users to modernize databases, migrate data warehouses to Redshift, and replicate across environments with minimal downtime.
Migrate from SQL Server or Oracle into Amazon Aurora using AWS Database Migra...Amazon Web Services
The document discusses migrating databases from SQL Server or Oracle to Amazon Aurora using the AWS Database Migration Service (DMS). Key points include:
- DMS can migrate databases with zero downtime by capturing changes during the initial load and then continuously applying changes.
- The AWS Schema Conversion Tool can help automate schema and code conversion when migrating between database engines. It assesses the source database and provides conversion recommendations.
- Amazon Aurora provides enterprise-level availability and performance at 1/10th the cost of commercial databases. It is optimized for database workloads and is fully managed by AWS.
Migrating your Databases to AWS: Deep Dive on Amazon RDS and AWS Database Mig...Amazon Web Services
The document provides information about migrating databases to AWS using Amazon Relational Database Service (RDS) and AWS Database Migration Service (DMS). It discusses:
- Key features of RDS such as provisioning databases quickly with high availability, security, backups and monitoring capabilities.
- How DMS allows migrating databases to AWS with minimal downtime by continuously replicating and migrating data between databases.
- Examples of customers who have successfully migrated large databases to AWS using RDS and DMS to improve scalability, availability and reduce costs compared to on-premises databases.
Convert and Migrate Your NoSQL Database or Data Warehouse to AWS - July 2017Amazon Web Services
Learning Objectives:
- Understand the use cases for migrating or replicating databases to the cloud
- Learn about the benefits of cloud-native databases for performance and costs reduction
- See how AWS Database Migration Service helps with your migration and how AWS Schema Conversion Tool makes conversions simple and quick
Moving or replicating your databases to the cloud should be simple and inexpensive. AWS has recently enhanced the AWS Database Migration Service and the AWS Schema Conversion Tool with new data sources to increase your migration options. You can now export from MongoDB databases and Greenplum, IBM Netezza, HPE Vertica, Teradata, Oracle DW and Microsoft SQL Server data warehouses to AWS. Learn how to export and migrate your data and procedural code with minimal downtime to the cloud database of your choice, including cloud-native offerings such as Amazon Aurora, Amazon DynamoDB and Amazon Redshift.
Database migration doesn’t need to be difficult or time consuming. Learn about the AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and cloud environments to Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon DynamoDB, and Amazon EC2. We will discuss homogeneous (same database engine) and heterogeneous migrations, as well as migrations from data warehouse platforms. We’ll also talk about the AWS Schema Conversion Tool, which saves you development time when migrating your Oracle, SQL Server, and data warehouse schemas and procedural code and exporting your data to the cloud.
Similar to Migrating to Amazon RDS with Database Migration Service (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.
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Migrating to Amazon RDS with Database Migration Service
1. Dhanraj Pondicherry, Solution Architect Manager
Database Migration
Simple, Cross-Engine, and Cross-Platform Migrations with Minimal Downtime
February 21, 2017
2. Agenda
• How does the cloud help?
• How do I get there?
• How does it work?
• What have others done?
• Are there any tricks? Where is the magic?
• Show me!
3. Migration options
If you’re not switching engines and can take downtime:
- SQL Server: bak file import
- MySQL: read replicas
- Oracle SQL Developer, Data Pump, Export/Import
- PostgreSQL: pg_dump
- SAP ASE: bcp
4. Migration used to be cost + complexity + time
Commercial data migration and replication software
Complex to set up and manage
Application downtime
Database-engine-specific application code
5. How can I get to the cloud?
How will my on-premises data migrate to the cloud?
How can I make it transparent to my users?
Afterwards, how will on-premises and cloud data interact?
How can I integrate my data assets within AWS?
Can I get help moving off of commercial databases?
6. What are DMS and SCT?
AWS Database Migration Service (DMS) easily and securely
migrate and/or replicate your databases and data warehouses
to AWS
AWS Schema Conversion Tool (SCT) convert your commercial
database and data warehouse schemas to open-source engines or
AWS-native services, such as Amazon Aurora and Redshift
We migrated over 18,000 unique databases. And counting…
7. When to use DMS and SCT?
Modernize Migrate Replicate
8. When to use DMS and SCT? Modernize
Modernize your Database Tier
• Commercial to open-source
• Commercial to Amazon Aurora
Modernize your Warehouse
• Commercial to Redshift
Amazon
Aurora
Amazon
Redshift
9. When to use DMS and SCT?
Modernize Migrate Replicate
Modernize your database tier –
• Commercial to open-source
• Commercial to Amazon Aurora
Modernize your Data Warehouse –
• Commercial to Redshift
• Migrate business-critical
applications
• Migrate from Classic to VPC
• Migrate data warehouse to
Redshift
• Upgrade to a minor version
• Consolidate shards into Aurora
• Create cross-regions Read Replicas
• Run your analytics in the cloud
• Keep your dev/test and production
environment sync
10. New SCT Data Extractors – released 2/15
Extract Data from your data warehouse* and migrate to Amazon Redshift
• Extracts through local migration agents
• Data is optimized for Redshift and Saved
in local files
• Files are loaded to an Amazon S3 bucket
(through network or Amazon Snowball)
and then to Amazon Redshift
Amazon
Redshift
AWS SCT S3 Bucket
* 1st release supports Oracle v11 and up and Teradata v15 and up
11. Why use DMS and SCT?
Secure
Cost Effective
Remove Barriers
to Entry
Allow DB
Freedom
Keep a Leg in
the Cloud
Easy to Use, but
Sophisticated…
Near-Zero
Downtime
12. Who is saying What about DMS and SCT?
"We migrated hundreds of our clients from our in-house data-center to Amazon RDS
Oracle 12c using the AWS Data Migration Service (DMS). Due to this service, we could
live-replicate the databases between our data-center and RDS before the migration. That
kept the migration down-time to the very minimum. We are very happy with DMS and
are planning to use it for Oracle to MySQL migration next”.
”The SCT Assessment Report was the key enabler to allow us to understand the
scope of effort required to complete an Oracle to PostgreSQL migration. What
was originally thought to be a largely manual task that no one was particularly
excited about having to do became a very straight-forward quick and easy
process."
“We are in the process of migrating some databases to Amazon Aurora. The ease
by which we can do this using the AWS Database Migration Service has
simplified this process for us and enabled us to accelerate our migration
efforts. The ability to closely monitor the process, the detailed logging feature,
and the support we received from AWS have given us a great deal of confidence
in a successful migration.”
14. SCT helps with converting tables, views, and code
Sequences
User-defined types
Synonyms
Packages
Stored procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Sort and distribution keys
15. Load is table by table
Replication instance
Source Target
16. Change data capture (CDC) and apply
Replication instance
Source Target
Update
t1 t2
t1
t2
Transactions Change
apply
after bulk
load
17. Customer
premises
Application users
AWS
Internet
VPN
Start a replication instance
Connect to source and target
databases
Select tables, schemas, or
databases
Let AWS DMS create tables,
load data, and keep them in
sync
Switch applications over to
the target at your convenience
Keep your apps running during the migration
AWS
DMS
18. Multi-AZ option for high availability
Customer
premises
or AWS
AWS
Internet
VPN
AWS DMS
AWS DMS
23. Sources for AWS Database Migration Service
Customers use the following databases as a source for data migration using AWS DMS:
On-premises and Amazon EC2 instance databases:
• Oracle Database 10g–12c
• Microsoft SQL Server 2005–2014
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.4–9.5
• SAP ASE 15.7+
RDS instance databases:
• Oracle Database 11g–12c
• Microsoft SQL Server 2008R2–2014. CDC operations are not supported yet.
• MySQL versions 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.4–9.5. CDC operations are not supported yet.
• Amazon Aurora (MySQL-compatible data source)
24. Targets for AWS Database Migration Service
Customers can use the following databases as a target for data replication using
AWS DMS:
On-premises and EC2 instance databases:
• Oracle Database 10g–12c
• Microsoft SQL Server 2005–2014
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.3–9.5
• SAP ASE 15.7+
RDS instance databases:
• Oracle Database 11g–12c
• Microsoft SQL Server 2008 R2 - 2014
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.3–9.5
• Amazon Aurora (MySQL-compatible data source)
Amazon Redshift
25. AWS Database Migration service pricing
T2 for developing and periodic data migration tasks
C4 for large databases and minimizing time
T2 pricing starts at $0.018 per hour for T2.micro
C4 pricing starts at $0.154 per hour for C4.large
50 GB GP2 storage included with T2 instances
100 GB GP2 storage included with C4 instances
Data transfer inbound and within AZ is free
Data transfer across AZs starts at $0.01 per GB
27. Heterogeneous Migration
Oracle private DC to RDS PostgreSQL migration
Used the AWS Schema Conversion Tool to
convert their database schema
Used on-going replication (CDC) to keep
databases in sync until they reached the cutover
window
Benefits:
• Improved reliability of the cloud environment
• Savings on Oracle licensing costs
• SCT Assessment Report let them understand
the scope of the migration
28. Scale Up Migration
RDS MySQL to Amazon Aurora Migration
Used DMS with on-going replication (CDC) to
migrate the data
Benefits:
• Aurora handles their larger data storage
requirements. Per regulations they are storing
120 TB of data for 2 years
• Reduced cost and improved performance when
compared to large MySQL instances
29. Homogeneous Migration
RDS MySQL on EC Classic to VPC
Database ran an end-user application so could
not take downtime
70 RDS instances have been migrated
Benefits:
• Leveraging CDC, they could decrease
outage per database to less than 5 mins
• 70 RDS instances have been seamlessly
migrated
30. Split Migration
35 million members on it’s site
Many interdependent applications built over the
last 15 years with unique High IOPS
requirements
Migration from legacy cloud service to AWS
Combination of migration to MySQL on EC2 and
Amazon Aurora
Benefits:
• DMS reduced the time required to migrate our
databases by 40 percent
• Realized 55 percent cost savings by moving
some db’s to Amazon Aurora
31. Resources available to customers—DMS
Getting Started Guide: Review technical
documentation.
Features and benefits: Highlights DMS
features.
Pricing: Prices for replication instances,
storage, and data transfer.
Support: Post your questions to our
Support forum.
Java SDK: Java-based API for creating
and managing data migration tasks.
AWS Command Line Interface: Start
and stop replication tasks with simple
commands.
32. Resources available to customers—
AWS Schema Conversion Tool
User Guide: Review technical docs at
aws.amazon.com/documentation/SchemaConversionTool/
or choose the Download button.
Download area: Get installation files for the
Schema Conversion Tool.
Support forums: Ask questions and review
how-to guides.
https://forums.aws.amazon.com/forum.jspa?forumID=208.
Start with some audience interaction… How many of you have been to the AWS Database Migration website? Has anyone tried using DMS yet?
Databases are special! Crown jewels of the business! They’re also the most common cause for lost sleep and IT escalations.
So, its natural that people want to know,
There are other ways of migrating too. Often the native option is the best option. They come with drawbacks though: downtime and the inability to move between engines
- Pre DMS, costly, license-intensive replication software to move data
- Were not simple to setup or use required expert resources
- Long downtimes the other option
- Customers who wanted to switch engines had to deal with differences in datatypes, table syntax, sp’s, functions, triggers
Responsive to customers
Migrations easier and less intrusive
Migrate will low downtime to any RDS engine type
Post migration, customers asked for ongoing sync
Sync between on prem and also between engines
This mobility addresses one of the big requests: The ability to migrate off of commercial, license-intensive database engines, onto cloud-native, non-commercial engines.
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
So it was with all these factors in mind that we developed the database migration service. We designed it to be simple - you can get started in less than ten minutes. We designed it to enable near-zero-downtime migration. And we designed it to be a kind of replication Swiss army knife. To replicate data between on-premises systems, RDS, EC2, and across database engine type
The database migration process works like this. first start with the SCT.
Creates tables at target database
Sets up metadata required at target
Populates data from source
Each process loads one entire table
Can use multiple processes
Can be paused
When restarted will continue from where it was stopped
Will reload any tables that were currently in progress
Oracle supplemental logging
MySQL row-level bin logging
SQL Server bulk logged/full recovery
Postgres WAL
No agent
Uses recovery log
Native change data capture API
Let’s explore how it is that DMS can enable near zero downtime migration. The customer starts by launching a DMS instance in their AWS account. (click) Then the customer provides database connection information to connect out to their on-premises database, and in to their AWS database. (click) Next the customer will select which tables, schemas or databases they want to migrate, (click) and DMS will load the data, and keep it in sync on an ongoing basis. (click) Finally, at the time of the customer’s choosing, they can simply change the application to point to the new AWS database, instead of their old on-premises database. (click)
When you either migrate or replicate, you can choose the Multi-AZ option. This option provides DMS in a high availability mode–in case the primary DMS server fails, the secondary one kicks in.
So by now it should be pretty obvious that data can move from A to B, and many have used DMS to do just that. Some customers have been pretty ingenious with DMS and have fanned in, or consolidated systems. DMS will put data where you ask it to, so if you want to merge data from a number of legacy systems into a single repository, DMS can help with this. And remember, DMS can just as easily move data between like databases and unlike databases, so you can take information from a number of different platforms and consolidate it in a single, cloud database.
In addition to “fanning-in” or consolidating, we’ve had a customer who has taken their database and “fanned-out” different portions to different targets. For example, from their ERP system they replicate they customer list out to the CRM system and also take some of the general ledger transactions and funnel them over to a BI system.
We’ve also had a customer who, for legacy reasons, used a single database for three different applications. With DMS you can split this information out to different databases. One could be PostgreSQL, one SQL Server, and one Aurora
Some organisations have many years of historical data, and for those that are willing to make the leap, filtering can be done during a migration so that only newer information is kept. Filtering can be done on any field in the source database–not just dates.
Just in case it wasn’t abundantly clear–DMS can move your data from pretty much anywhere to pretty much anywhere. Sort of like a courier company for the cloud
Mention why no older engines as sources
Where can you learn more?
(CLICK) The User Guide and download option are available from the DMS section of the AWS Console
(CLICK) Yeah, there’s the Download button. Click it and you’ll see something like this.
(CLICK) Information on installation and use
(CLICK) The Schema Conversion Tool has its own forum to ask questions and get help