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
AWS Services Overview and Quarterly Update - April 2017 AWS Online Tech TalksAmazon Web Services
• Overview of AWS New & Existing Services
• Advice for Getting Started
Join the “AWS Services Overview and Quarterly Update” webinar to take a fast-paced 45-minute tour through our broad range of new and existing services. We will also provide an update so you can review and catch up on the biggest updates from the past quarter. During the webinar, you will have the opportunity to propose questions for the live Q&A session following the presentation.
by Darin Briskman, Technical Evangelist, AWS
SQL is a powerful tool to query data, but it doesn't cover everything you might need. Sometimes, the precision of SQL is a limitation, that can be overcome by using the flexibility and inherent ranking of search. Learn how to use AWS servcies to create fully managed solutions using Amazon Aurora and Amazon Elasticsearch Service to combine the power of query and search. Level: 200
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Run Your CI/CD Pipeline at Scale for a Fraction of the Cost - AWS Online Tech...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances to run continuous integration and continuous delivery (CI/CD) pipelines at a fraction of the cost of on-demand instances. It introduces EC2 Spot Instances and how they provide access to unused Amazon EC2 capacity at low prices. It then covers best practices for using Spot Instances flexibly and with diversification to increase reliability. Tools like Spot Fleet and plugins for Jenkins and Bamboo that help integrate Spot Instances into CI/CD workflows are also discussed.
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing--all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including Approved instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
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.
Automate the Provisioning of Secure Developer Environments on AWS PPTAmazon Web Services
Providing development and engineering teams with access to cloud resources introduces challenges around deploying the proper security policies. Organizations need automated security solutions that enable their engineers to spin up their own secure environments for application development with a push of a button. Join our upcoming webinar with Palo Alto Networks, REAN Cloud, and AWS, to learn how organizations are leveraging Palo Alto Networks VM-Series and REAN Cloud to build a simple, fast, and automated solution on AWS that helps provision secure environments for developers.
AWS Services Overview and Quarterly Update - April 2017 AWS Online Tech TalksAmazon Web Services
• Overview of AWS New & Existing Services
• Advice for Getting Started
Join the “AWS Services Overview and Quarterly Update” webinar to take a fast-paced 45-minute tour through our broad range of new and existing services. We will also provide an update so you can review and catch up on the biggest updates from the past quarter. During the webinar, you will have the opportunity to propose questions for the live Q&A session following the presentation.
by Darin Briskman, Technical Evangelist, AWS
SQL is a powerful tool to query data, but it doesn't cover everything you might need. Sometimes, the precision of SQL is a limitation, that can be overcome by using the flexibility and inherent ranking of search. Learn how to use AWS servcies to create fully managed solutions using Amazon Aurora and Amazon Elasticsearch Service to combine the power of query and search. Level: 200
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Run Your CI/CD Pipeline at Scale for a Fraction of the Cost - AWS Online Tech...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances to run continuous integration and continuous delivery (CI/CD) pipelines at a fraction of the cost of on-demand instances. It introduces EC2 Spot Instances and how they provide access to unused Amazon EC2 capacity at low prices. It then covers best practices for using Spot Instances flexibly and with diversification to increase reliability. Tools like Spot Fleet and plugins for Jenkins and Bamboo that help integrate Spot Instances into CI/CD workflows are also discussed.
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing--all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including Approved instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
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.
Automate the Provisioning of Secure Developer Environments on AWS PPTAmazon Web Services
Providing development and engineering teams with access to cloud resources introduces challenges around deploying the proper security policies. Organizations need automated security solutions that enable their engineers to spin up their own secure environments for application development with a push of a button. Join our upcoming webinar with Palo Alto Networks, REAN Cloud, and AWS, to learn how organizations are leveraging Palo Alto Networks VM-Series and REAN Cloud to build a simple, fast, and automated solution on AWS that helps provision secure environments for developers.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
This document summarizes Amazon RDS features and roadmap items. It discusses how RDS provides a fully managed database service, supporting multiple open source and commercial database engines. Key features highlighted include high availability, automated backups, cross-region read replicas, encryption, and integration with other AWS services. Upcoming improvements discussed are RDS Performance Insights, larger storage volumes, new database versions, and expanded compliance capabilities. The presentation concludes with an invitation for questions.
You have heard how containers are great for running microservices, but what is needed to get microservices to run in production at scale? In this session, we explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will show how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
Presented by: Danny Fezer, Solutions Architect, Amazon Web Services
Customer Guest: Liz Duke, Technical Delivery Manager, Irdeto
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.
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.
How TrueCar Gains Actionable Insights with Splunk Cloud PPTAmazon Web Services
The vast amount of big data that today’s companies generate makes it difficult to separate the signal from the noise. Organizations need to derive meaningful insights into operations and business to take action. TrueCar needed a better way to manage, search, and analyze their hybrid environment. In this webinar, you’ll learn how TrueCar centralized all of their data in one place using Amazon Kinesis and Splunk Cloud, gaining deep visibility, scalability, and the ability to monitor and troubleshoot operational issues – all while migrating to AWS.
Serverlesss Big Data Analytics with Amazon Athena and QuicksightAmazon Web Services
Check out how you can easily query raw data in various formats in Amazon S3, transform it into a canonical form, analyze it, and build dashboards to get more insights from your data.
Use AWS DMS to Securely Migrate Your Oracle Database to Amazon Aurora with Mi...Amazon Web Services
Changing database engines is often daunting to customers. However, the value of a highly scalable, cost-effective, and fully managed service, such as Amazon Aurora, can make the challenge worth it. In this hand-on lab, we demonstrate how to take advantage of the AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) to facilitate and simplify migrating an Oracle database to the Amazon Aurora PostgreSQL-compatible Edition. We connect to an Oracle (source) and a PostgreSQL (target) instance, and convert the Oracle database schema and code objects to PostgreSQL using AWS SCT. Then, we migrate and replicate the data using AWS DMS. AWS credits are provided. Bring your laptop, and have an active AWS account.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
This document provides an overview of AWS databases and analytics services. It discusses AWS's broad portfolio of purpose-built databases including relational databases like RDS and Aurora, non-relational databases like DynamoDB and Neptune, data lakes with S3 and Glue, data movement services, and analytics services like Redshift, EMR, and Athena. It also covers key concepts around relational and non-relational data models and provides examples of common use cases for different database types.
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.
by Darin Briskman, Technical Evangelist, AWS
Elasticsearch is the most popular open-source search and analytics engine - it's easy to use, but not always easy to configure an manage. Learn about Amazon's fully managed service that provides easier deployment, operation, and scale for Elasticsearch. Level: 200
The document discusses Amazon Relational Database Service (Amazon RDS), which allows users to set up and manage relational databases in the cloud. Some key points:
- Amazon RDS provides a managed database service running MySQL, Oracle, SQL Server, PostgreSQL, MariaDB, or Aurora databases. It handles time-consuming administration tasks.
- Databases can be easily launched and scaled up or down as needed. Additional storage, compute power, and throughput can also be provisioned.
- Automated backups provide point-in-time recovery. Multi-AZ deployments provide high availability and durability. Security features include encryption and IAM access control.
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
The document provides tips for optimizing costs when using AWS. It recommends replacing upfront capital expenses with low variable costs on AWS and describes how AWS is able to continually lower costs through economies of scale. It then provides 10 specific tips for lowering AWS costs, such as choosing the right instance types, using auto scaling, turning off unused instances, using reserved and spot instances, using appropriate storage classes, offloading from your architecture, using AWS services instead of reinventing capabilities, using consolidated billing, and taking advantage of AWS tools like Trusted Advisor and Cost Explorer.
This document discusses running SAP S/4HANA on Amazon Web Services (AWS). It outlines the key benefits of AWS for SAP including cost savings up to 71% compared to traditional infrastructure, speed and agility in deploying infrastructure within hours versus weeks or months, scalability to increase resources as needed without overprovisioning, high availability through automatic recovery and replication across availability zones and regions, and managed services options. The document provides an example pricing estimate for an SAP S/4HANA landscape on AWS and diagrams illustrating SAP S/4HANA high availability and disaster recovery architectures on AWS.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Chicago ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
This document discusses the value that certified AWS experts from Rackspace can provide to businesses. It outlines Rackspace's extensive AWS expertise including over 1,000 AWS certifications held by Rackspace professionals. Rackspace offers two levels of support for AWS - Navigator and Aviator. Navigator provides best practices and guidance, while Aviator involves hands-on management of a customer's AWS infrastructure. The document also provides two case studies of how Rackspace has helped customers migrate workloads to AWS and implement resource management strategies for large AWS footprints.
ABD324_Migrating Your Oracle Data Warehouse to Amazon Redshift Using AWS DMS ...Amazon Web Services
Customers that have Oracle Data warehouses find them complex and expensive to manage. Most are struggling with data load and performance issues. They are looking to migrate to something which is easy to manage, cost effective, and improves their query performance. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. Migrating your Oracle data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. This workshop leverages AWS Database Migration Service and AWS Schema Conversion Tool to migrate an existing Oracle data warehouse to Amazon Redshift. When migrating your database from one engine to another, you have two major things to consider: the conversion of the schema and code objects, and the migration and conversion of the data itself. You can convert schema and code with AWS SCT and migrate data with AWS DMS. AWS DMS helps you migrate your data easily and securely with minimal downtime. Prerequisites: Have an AWS account with IAM admin permissions and sufficient limits for AWS resources above, with a comfortable working knowledge of AWS console, relational databases (Oracle) and Amazon Redshift.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Presented by: Guy Kfir, Senior Account Manager, Amazon Web Services
Customer Guest: David Costa, CTO, Fredhopper
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.
Simplify & Standardise Your Migration to AWS with a Migration Landing ZoneAmazon Web Services
With customers migrating workloads to AWS, we are starting to see a need for the creation of a prescribed landing zone, which uses native AWS capabilities and meets or exceeds customers' security and compliance objectives. In this session, we will describe an AWS landing zone and explain features for account structuring, user configuration, provisioning, networking and operation automation. The Migration Landing Zone solution is based on AWS native capabilities such as AWS Service Catalog, AWS Identity and Access Management, AWS Config Rules, AWS CloudTrail and AWS Lambda. We will provide an overview of AWS Service Catalog and how it be used to provide self-service infrastructure to applications users, including various options for automation. After this session you will be able to configure an AWS landing zone for successful large scale application migrations.
Speaker: Koen Biggelaar, Senior Manager, Solutions Architecture, Amazon Web Services and Mahmoud ElZayet
operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive since day one.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
This document summarizes Amazon RDS features and roadmap items. It discusses how RDS provides a fully managed database service, supporting multiple open source and commercial database engines. Key features highlighted include high availability, automated backups, cross-region read replicas, encryption, and integration with other AWS services. Upcoming improvements discussed are RDS Performance Insights, larger storage volumes, new database versions, and expanded compliance capabilities. The presentation concludes with an invitation for questions.
You have heard how containers are great for running microservices, but what is needed to get microservices to run in production at scale? In this session, we explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will show how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
Presented by: Danny Fezer, Solutions Architect, Amazon Web Services
Customer Guest: Liz Duke, Technical Delivery Manager, Irdeto
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.
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.
How TrueCar Gains Actionable Insights with Splunk Cloud PPTAmazon Web Services
The vast amount of big data that today’s companies generate makes it difficult to separate the signal from the noise. Organizations need to derive meaningful insights into operations and business to take action. TrueCar needed a better way to manage, search, and analyze their hybrid environment. In this webinar, you’ll learn how TrueCar centralized all of their data in one place using Amazon Kinesis and Splunk Cloud, gaining deep visibility, scalability, and the ability to monitor and troubleshoot operational issues – all while migrating to AWS.
Serverlesss Big Data Analytics with Amazon Athena and QuicksightAmazon Web Services
Check out how you can easily query raw data in various formats in Amazon S3, transform it into a canonical form, analyze it, and build dashboards to get more insights from your data.
Use AWS DMS to Securely Migrate Your Oracle Database to Amazon Aurora with Mi...Amazon Web Services
Changing database engines is often daunting to customers. However, the value of a highly scalable, cost-effective, and fully managed service, such as Amazon Aurora, can make the challenge worth it. In this hand-on lab, we demonstrate how to take advantage of the AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) to facilitate and simplify migrating an Oracle database to the Amazon Aurora PostgreSQL-compatible Edition. We connect to an Oracle (source) and a PostgreSQL (target) instance, and convert the Oracle database schema and code objects to PostgreSQL using AWS SCT. Then, we migrate and replicate the data using AWS DMS. AWS credits are provided. Bring your laptop, and have an active AWS account.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
This document provides an overview of AWS databases and analytics services. It discusses AWS's broad portfolio of purpose-built databases including relational databases like RDS and Aurora, non-relational databases like DynamoDB and Neptune, data lakes with S3 and Glue, data movement services, and analytics services like Redshift, EMR, and Athena. It also covers key concepts around relational and non-relational data models and provides examples of common use cases for different database types.
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.
by Darin Briskman, Technical Evangelist, AWS
Elasticsearch is the most popular open-source search and analytics engine - it's easy to use, but not always easy to configure an manage. Learn about Amazon's fully managed service that provides easier deployment, operation, and scale for Elasticsearch. Level: 200
The document discusses Amazon Relational Database Service (Amazon RDS), which allows users to set up and manage relational databases in the cloud. Some key points:
- Amazon RDS provides a managed database service running MySQL, Oracle, SQL Server, PostgreSQL, MariaDB, or Aurora databases. It handles time-consuming administration tasks.
- Databases can be easily launched and scaled up or down as needed. Additional storage, compute power, and throughput can also be provisioned.
- Automated backups provide point-in-time recovery. Multi-AZ deployments provide high availability and durability. Security features include encryption and IAM access control.
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
The document provides tips for optimizing costs when using AWS. It recommends replacing upfront capital expenses with low variable costs on AWS and describes how AWS is able to continually lower costs through economies of scale. It then provides 10 specific tips for lowering AWS costs, such as choosing the right instance types, using auto scaling, turning off unused instances, using reserved and spot instances, using appropriate storage classes, offloading from your architecture, using AWS services instead of reinventing capabilities, using consolidated billing, and taking advantage of AWS tools like Trusted Advisor and Cost Explorer.
This document discusses running SAP S/4HANA on Amazon Web Services (AWS). It outlines the key benefits of AWS for SAP including cost savings up to 71% compared to traditional infrastructure, speed and agility in deploying infrastructure within hours versus weeks or months, scalability to increase resources as needed without overprovisioning, high availability through automatic recovery and replication across availability zones and regions, and managed services options. The document provides an example pricing estimate for an SAP S/4HANA landscape on AWS and diagrams illustrating SAP S/4HANA high availability and disaster recovery architectures on AWS.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Chicago ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
This document discusses the value that certified AWS experts from Rackspace can provide to businesses. It outlines Rackspace's extensive AWS expertise including over 1,000 AWS certifications held by Rackspace professionals. Rackspace offers two levels of support for AWS - Navigator and Aviator. Navigator provides best practices and guidance, while Aviator involves hands-on management of a customer's AWS infrastructure. The document also provides two case studies of how Rackspace has helped customers migrate workloads to AWS and implement resource management strategies for large AWS footprints.
ABD324_Migrating Your Oracle Data Warehouse to Amazon Redshift Using AWS DMS ...Amazon Web Services
Customers that have Oracle Data warehouses find them complex and expensive to manage. Most are struggling with data load and performance issues. They are looking to migrate to something which is easy to manage, cost effective, and improves their query performance. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. Migrating your Oracle data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. This workshop leverages AWS Database Migration Service and AWS Schema Conversion Tool to migrate an existing Oracle data warehouse to Amazon Redshift. When migrating your database from one engine to another, you have two major things to consider: the conversion of the schema and code objects, and the migration and conversion of the data itself. You can convert schema and code with AWS SCT and migrate data with AWS DMS. AWS DMS helps you migrate your data easily and securely with minimal downtime. Prerequisites: Have an AWS account with IAM admin permissions and sufficient limits for AWS resources above, with a comfortable working knowledge of AWS console, relational databases (Oracle) and Amazon Redshift.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Presented by: Guy Kfir, Senior Account Manager, Amazon Web Services
Customer Guest: David Costa, CTO, Fredhopper
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.
Simplify & Standardise Your Migration to AWS with a Migration Landing ZoneAmazon Web Services
With customers migrating workloads to AWS, we are starting to see a need for the creation of a prescribed landing zone, which uses native AWS capabilities and meets or exceeds customers' security and compliance objectives. In this session, we will describe an AWS landing zone and explain features for account structuring, user configuration, provisioning, networking and operation automation. The Migration Landing Zone solution is based on AWS native capabilities such as AWS Service Catalog, AWS Identity and Access Management, AWS Config Rules, AWS CloudTrail and AWS Lambda. We will provide an overview of AWS Service Catalog and how it be used to provide self-service infrastructure to applications users, including various options for automation. After this session you will be able to configure an AWS landing zone for successful large scale application migrations.
Speaker: Koen Biggelaar, Senior Manager, Solutions Architecture, Amazon Web Services and Mahmoud ElZayet
operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive since day one.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
The document discusses Amazon EC2 Container Registry (ECR), which is a fully managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. It provides details on what ECR is, how it integrates with other AWS services like ECS, its access control and encryption features, and demos of common user workflows like creating a registry, pushing images, and using images in tasks.
After IAM and Detective Controls you’ll turn to Infrastructure Security, which means tuning AWS Service configurations, AMI composition, and hardening other digital assets that will be deployed. We will cover how to define networking architecture (e.g. VPC, subnets, security groups); how to develop hardened AMIs based on your requirements; the importance of defining Internet ingress and egress flows, and how to determine Vulnerability Management and operational maintenance cadence.
With a minimum security baseline in place, you’re now ready to host data—which means Data Protection is required. Here we will discuss defining encryption strategy and selecting native AWS (KMS, CloudHSM) or third party tools; defining key rotation and key protection mechanisms; and defining data at rest and data in transit protection requirements.
Vlad Vlasceanu, a specialist solutions architect at AWS, presented best practices for deploying SQL Server on Amazon Web Services. He discussed deployment options for SQL Server on Amazon EC2 and Amazon RDS, highlighting their differences. He then provided recommendations for optimizing SQL Server performance and high availability when using Amazon EC2 and Amazon RDS, focusing on storage, availability zones, and configuration management. The presentation aimed to help customers design, deploy, and optimize SQL Server workloads effectively on AWS.
The document discusses Amazon Lex, a service for building conversational interfaces using voice and text. It describes how Amazon Lex uses the same deep learning technology as Alexa for speech recognition and natural language understanding. It also discusses how developers can use Amazon Lex to build chatbots that integrate with messaging platforms and connect to enterprise systems. The document provides information on getting started with Amazon Lex and pricing.
講師: Bob Yin, Senior Product Specialist, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.
Learning Objectives:
- Overview of SAP solutions supported on AWS
- Overview of core AWS services for SAP workloads
- Benefits of deploying SAP on AWS
- Examples of how customers are running SAP workloads on AWS
講師: Jhen-Wei Huang, Solution Architect, AWS
Artificial Intelligence (AI) and deep learning are now ready to power your business, as it is powering most of the innovation of Amazon.com with autonomous drones, and robots, Amazon Alexa, Amazon Go, and many other hard and important business problems. Come and learn why and how to get started with deep learning, and what you can expect from a future with better AI in the cloud and on the edge.
Amazon EC2 Systems Manager is a management service that helps you securely and safely manage instances at scale, automatically collect software inventory, apply OS patches, create system images, and configure Windows and Linux operating systems. These capabilities help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations. By providing a management approach that is designed for the scale and agility of the cloud but extends into your on-premises data center, EC2 Systems Manager makes it easier for you to seamlessly bridge your existing infrastructure with AWS.
Delivering DevOps on AWS - Transformation Day Public Sector London 2017Amazon Web Services
Software release cycles are now measured in days, rather than months. Cutting-edge companies continually deliver high-quality software at a fast pace to remain competitive. In this session, we cover how you can begin your DevOps journey by sharing best practices and tools used by Amazon’s two pizza engineering teams. We’ll showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We’ll also provide an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy – the services inspired by Amazon's internal developer tools and DevOps practice.
Speaker:
Mario Vlachakis, Solutions Architect, Amazon Web Services
Serverless computing allows you to build and run applications without managing infrastructure. Lambda functions can be triggered by events from services like S3, API Gateway, IoT, and more. Case studies showed serverless reduced costs by 30% and provisioning time from days to hours. The document promotes serverless design principles and resources like Serverless By Design and AWS SAM Local.
講師: Ivan Cheng, Solution Architect, AWS
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
Big Data Experience Sharing: Building Collaborative Data Analytics Platform -...Amazon Web Services
Speaker: Kenny Kwan, Head of Software and Cloud Engineering, Gibson Innovations Limited
Here from Gibson Innovations engineering on how they build, deploy and manage their Data Analytics Platforms and IoT Hub on AWS and get business insights.
Set it and Forget it: Auto Scaling Target Tracking Policies - AWS Online Tech...Amazon Web Services
Learning Objectives:
- How and when to use step scaling policies
- How to use target tracking scaling policies
- How to use scaling policies for dynamic scaling and EC2 fleet management
Build Cloud-Connected Apps in React Native for iOS & Android.pdfAmazon Web Services
The document discusses building React Native apps with AWS. It begins by providing statistics on mobile usage and reviewing options for developing mobile apps. It then discusses why React Native is a good choice and lists various AWS resources that can be used, focusing on those for analytics, identity, storage, and serverless functions. The document outlines architectures for handling state both locally and in the cloud. It introduces the AWS React Native Starter Kit and demonstrates building a sample app integrated with AWS services.
Speaker: Eddie Hui, Principal Sales Consultant, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
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.
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
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.
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.
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.
Migrating Your Databases to AWS: Deep Dive on Amazon RDS and AWS Database Mig...Amazon Web Services
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, automates time-consuming database administration tasks, and provides you with six familiar database engines to choose from: Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we will take a close look at the capabilities of Amazon RDS and explain how it works. We’ll also discuss the AWS Database Migration Service and AWS Schema Conversion Tool, which help you migrate databases and data warehouses with minimal downtime from on-premises and cloud environments to Amazon RDS and other Amazon services. Gain your freedom from expensive, proprietary databases while providing your applications with the fast performance, scalability, high availability, and compatibility they need.
AWS Speaker: Andrew Kane, Solutions Architect - Amazon Web Services
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.”
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.
Database Freedom is an AWS initiative that accelerates enterprise migrations from commercial database engines to AWS native database services or managed open-source systems. We review the basics of the Amazon purpose-built database strategy and cover our Workload Qualification Framework, which helps you determine a good database migration candidate and predict the level of effort. In the hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate your databases to Amazon Aurora PostgreSQL. Bring a laptop with Firefox or Chrome and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment.
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSAmazon Web Services
You can significantly reduce database licensing and operational costs by migrating from commercial database engines to Amazon RDS. In addition, you can gain flexibility and operational efficiency by avoiding the frustrating usage constraints that accompany commercial database licenses. Amazon RDS is a fully managed database service, so you no longer need to worry about complex database management tasks. Launch a single database instance or thousands of them in just a few minutes, and pay only for what you use. Learn how AWS Database Migration Service and AWS Schema Conversion Tool help you migrate commercial databases like Oracle and Microsoft SQL Server to Amazon RDS and Aurora easily and securely with minimal downtime.
This document summarizes Amazon Web Services database migration and replication services. It discusses how the AWS Database Migration Service can migrate databases between on-premises and cloud environments within 10 minutes with no application downtime. It also describes how the AWS Schema Conversion Tool can help migrate databases off Oracle and SQL Server to other database engines like MySQL. Finally, it provides an overview of Amazon RDS managed database services and high availability features.
Heterogenous Migration with DMS and SCT: Database Week San FranciscoAmazon Web Services
Database Week at the San Francisco Loft: Heterogeneous Migration with DMS and SCT - Oracle RDS to Aurora PostgreSQL migration lab using DMS and SCT.
Speakers:
Ramya Kaushik - Database Engineer, DMS/SCT, AWS
Jatin Singh - Partner Solutions Architect, AWS
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.
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
The benefits of running databases in the cloud are compelling but how do you get the data there? In this session we will explore how to use the AWS Database Migration Service and the AWS Schema Conversion Tool to help you to migrate, or continuously replicate, your on-premise databases to AWS.
Speaker: Jarrod Spiga, Solutions Architect, Amazon Web Services
Migrate a relational database to Aurora - ADB302 - Atlanta AWS SummitAmazon Web Services
In this hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate a relational database to Amazon Aurora PostgreSQL. Bring a laptop that has the Firefox or Chrome browser installed and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment and help you walk through the migration process. Please be sure to bring your laptop.
Migrating Databases to AWS for Business Critical Applications and Analytics Amazon Web Services
Migrating business critical applications to a new environment can be difficult and expensive. The short duration of maintenance windows often dictates the use of costly tools to perform change data capture (CDC) from the source to target databases so that the switch over process happens as quickly as possible. Amazon Web Services recently introduced the Database Migration Service (DMS) that supports the migration of databases from on-premises to the cloud with CDC support. This session will explain how DMS provides a simple and cost effective way to migrate business critical applications to Amazon Web Services. It will also cover how DMS enables new workloads for analytics, dev/test and heterogeneous database migrations.
Migrating On-Premises Databases to Cloud - AWS PS Summit CanberraAmazon Web Services
This document discusses migrating on-premises databases to the AWS cloud using the AWS Database Migration Service (AWS DMS) and Amazon Redshift. AWS DMS can migrate data between most commercial and open-source databases to AWS services like Redshift and Aurora with minimal downtime. The document outlines considerations for database migration and provides examples of using AWS DMS and the AWS Schema Conversion Tool to migrate an Oracle database to a PostgreSQL database on Redshift.
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.
Similar to Migrating Your Oracle Database to PostgreSQL - AWS Online Tech Talks (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.
2. Why migrate from Oracle to PostgreSQL?
Simplicity and innovations of open source
Lower cost and no licensing
Reduce uncertainty
Compatibility between Oracle and PostgreSQL
3. Why migrate databases to the cloud?
Reduce costs
Simplify operations
Increase flexibility and possibilities
4. Open source database
In active development for 20 years
Owned by a foundation, not a single company
Permissive innovation-friendly open source license
High performance out of the box
Object-oriented and ANSI-SQL:2008 compatible
Most geospatial features of any open source database
Supports stored procedures in 12 languages (Java, Perl, Python,
Ruby, Tcl, C/C++, its own Oracle-like PL/pgSQL, etc.)
Most Oracle-compatible open source databases
Highest AWS Schema Conversion Tool automatic conversion rates
are from Oracle to PostgreSQL
PostgreSQL fast facts
Open Source Initiative
5. Why migrate from Oracle to PostgreSQL in AWS?
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization
6. Why migrate databases to AWS?
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization
7. Why migrate to Amazon RDS?
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
App optimization
High availability
DB s/w installs
OS installation
you
Scaling
8. Cloud-optimized relational database
Performance and availability of
commercial databases
Simplicity and cost effectiveness of
open source databases,
with PostgreSQL compatibility
What is Amazon Aurora?
9. A service-oriented architecture applied to the database
Move the logging and storage layer into a
multitenant, scale-out, database-optimized
storage service
Integrate with other AWS services like
Amazon EC2, Amazon VPC, Amazon
DynamoDB, Amazon SWF, and Amazon
Route 53 for control & monitoring
Make it a managed service – using Amazon
RDS. Takes care of management and
administrative functions.
Amazon
DynamoDB
Amazon SWF
Amazon Route 53
Logging + Storage
SQL
Transactions
Caching
Amazon S3
1
2
3
Amazon RDS
10. 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?
11. 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
12. What are AWS DMS and AWS SCT?
AWS Database Migration Service (DMS) easily and securely
migrates and/or replicate your databases and data warehouses
to AWS
AWS Schema Conversion Tool (SCT) converts your commercial
database and data warehouse schemas to open source engines or
AWS-native services, such as Amazon Aurora and Redshift
We have migrated over 34,000 unique databases. And counting…
14. When to use AWS DMS and AWS 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-Region Read Replicas
• Run your analytics in the cloud
• Keep your dev/test and production
environment sync
15. When to use AWS DMS and AWS SCT? Modernize
Modernize your database tier
• Commercial to open source
• Commercial to Amazon Aurora
Modernize your warehouse
• Commercial to Redshift
Amazon Redshift
Amazon Aurora
16. New AWS SCT Data Extractors
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 v14 and up
17. Why use AWS DMS and AWS 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
21. AWS SCT helps with converting tables, views, & code
Sequences
User-defined types
Synonyms
Packages
Stored procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Sort and distribution keys
22. 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
23. Load is table by table
Replication instance
Source Target
24. Change data capture (CDC) and apply
Replication instanceSource Target
Update
t1 t2
t1
t2
Transactions Change
apply
after bulk
load
32. 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
33. 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
34. 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
35. Split migration
35 million members on its 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:
• AWS DMS reduced the time required to
migrate our databases by 40 percent
• Realized 55 percent cost savings by moving
some DBs to Amazon Aurora
37. APN Consulting Partners and Amazon Aurora
Experienced APN Partners, validated
by AWS service teams and AWS
customers
Amazon Aurora, Amazon RDS
PostgreSQL, AWS Database
Migration Service
Assessments, Proof of Concept,
Migrations, Net New Implementations