The document discusses setting up PostgreSQL in an AWS cloud environment. It provides information on using PostgreSQL with AWS services like RDS, Aurora, EC2 and EBS. It compares IaaS vs PaaS deployment options and discusses features of AWS databases like backups, read replicas, high availability and security. The document also summarizes benefits of Aurora over traditional databases like faster crash recovery, continuous backups and independent scaling of database layers.
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
Amazon Web Services offers a comprehensive suite of products and services for video game developers across every major platform: mobile, console, PC and online. From AAA console and PC games, to educational and serious games, AWS provides the back end servers and hosting services for your game studio. Build, deploy, distribute, analyze and monetize with AWS. Pay as you go, and only pay for what you use. Focus on your game, not your infrastructure.
Join this session to learn more about how games studios and operators use the AWS cloud to support their titles. We will also dive deep into the recently announced Amazon Lumberyard and Gamelift services and explore the technical features of these services and the resources available to help game developers get started building their next creations with on AWS.
AWS Batch는 다양한 컴퓨팅 일괄 처리 작업을 손쉽게 관리해 주는 서비스입니다. 작업 규모에 따라 자동으로 EC2 워크로드 배포를 최적화해 줍니다. 본 세션에서는 AWS Batch의 핵심 개념과 서비스 기능 및 배치 작업의 다양한 처리 패턴 및 다른 서비스와 연동한 처리 방법을 다룹니다. 지난 3월 서울 리전에 출시한 Batch 서비스에 대한 자세한 소개와 함께 다양한 활용 팁을 데모와 함께 소개해 드립니다.
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon Elastice Compute Cloud (EC2) and Amazon Relational Database Service (RDS). We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon의 머신러닝 솔루션: Fraud Detection & Predictive Maintenance - 남궁영환 (AWS 데이터 사이...Amazon Web Services Korea
인공지능, 머신 러닝은 비즈니스의 필수 기술이 되고 있습니다. 하지만 여전히 기술을 손쉽게 도입하기엔 어려움이 있습니다. 본 세션에서는 클라우드 상에서 머신러닝 기반 애플리케이션을 손쉽게 구현할 수 있는 AWS의 솔루션들에 대해 살펴봅니다.
다시보기 링크: https://youtu.be/UHvBYgCZiI4
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
Amazon Web Services offers a comprehensive suite of products and services for video game developers across every major platform: mobile, console, PC and online. From AAA console and PC games, to educational and serious games, AWS provides the back end servers and hosting services for your game studio. Build, deploy, distribute, analyze and monetize with AWS. Pay as you go, and only pay for what you use. Focus on your game, not your infrastructure.
Join this session to learn more about how games studios and operators use the AWS cloud to support their titles. We will also dive deep into the recently announced Amazon Lumberyard and Gamelift services and explore the technical features of these services and the resources available to help game developers get started building their next creations with on AWS.
AWS Batch는 다양한 컴퓨팅 일괄 처리 작업을 손쉽게 관리해 주는 서비스입니다. 작업 규모에 따라 자동으로 EC2 워크로드 배포를 최적화해 줍니다. 본 세션에서는 AWS Batch의 핵심 개념과 서비스 기능 및 배치 작업의 다양한 처리 패턴 및 다른 서비스와 연동한 처리 방법을 다룹니다. 지난 3월 서울 리전에 출시한 Batch 서비스에 대한 자세한 소개와 함께 다양한 활용 팁을 데모와 함께 소개해 드립니다.
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon Elastice Compute Cloud (EC2) and Amazon Relational Database Service (RDS). We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon의 머신러닝 솔루션: Fraud Detection & Predictive Maintenance - 남궁영환 (AWS 데이터 사이...Amazon Web Services Korea
인공지능, 머신 러닝은 비즈니스의 필수 기술이 되고 있습니다. 하지만 여전히 기술을 손쉽게 도입하기엔 어려움이 있습니다. 본 세션에서는 클라우드 상에서 머신러닝 기반 애플리케이션을 손쉽게 구현할 수 있는 AWS의 솔루션들에 대해 살펴봅니다.
다시보기 링크: https://youtu.be/UHvBYgCZiI4
AWS Webinar 23 - Getting Started with AWS - Understanding total cost of owner...Cobus Bernard
In this session, we will go over cloud economics and understanding the total cost of ownership (TCO) when building in the cloud and how you are trading upfront capital expenditure (CapEx) for operational expenditure (OpEx). We will also look at how the TCO changes over time as you start modernising your applications to make full use of the cloud's capabilities. Lastly, we will cover the different purchasing options to help you understand how you can reduce costs even further by identifying consistent, base workloads.
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.
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
ARC329_Optimizing Performance and Efficiency for Amazon EC2 and More with Tur...Amazon Web Services
"Every day, systems architects and cloud architects have to size cloud workloads for performance and efficiency. Do you choose T2, C3, C4, M3, or something else for your Amazon Elastic Compute Cloud (Amazon EC2) instance type? Do you need more CPUs, memory, or both? What about distributed applications across regions and Availability Zones? How do IT teams determine the right instance family and size for AWS workloads? Turbonomic solves these challenges with you. Their real-time hybrid cloud management platform can ensure that your workloads get the right resources in real time to assure performance across the compute, storage, network, application, and database layers of AWS, and across your hybrid cloud infrastructure. Get a crash course in understanding workload performance characteristics, and how Turbonomic matches to AWS resources to assure real-time, efficient performance for your AWS environment, with the ability to fully automate these processes. Whether you’re new to the platform or regular users of Amazon EC2, learn to take the guesswork out of what makes each Amazon EC2 instance family unique and appropriate for your business and technical requirements.
Session sponsored by Turbonomic, Inc."
by John McGrath, Startup Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
DEM19 Advanced Auto Scaling and Deployment Tools for Kubernetes and ECSAmazon Web Services
There are many things to consider when architecting to scale a Kubernetes or Amazon EC2 Container Service (Amazon ECS), especially in heterogeneous environments, which are made up of different machine types and sizes. To increase a cluster’s efficiency, it is crucial to choose the right instance size and type for the right workload. In this talk, we discuss the two important concepts of k8s autoscaling: headroom and two-levels scaling. In addition, we review the different k8s deployment tools, including Kubernetes Operations (kops). This session is brought to you by AWS Partner, Spotinst.
Architectures for HPC/HTC Workloads on AWS - CMP306 - re:Invent 2017Amazon Web Services
Researchers and IT professionals who use high-performance computing (HPC) and high-throughput computing (HTC) need a large scale infrastructure to move their research forward. This session provides reference architectures for running your workloads on AWS, which enable you to achieve scale on-demand and reduce your time to science. We debunk myths about HPC in the cloud and demonstrate techniques for running common on-premises workloads in the cloud.
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
AWS SSA Webinar 33 - Getting started with databases on AWS Amazon DynamoDBCobus Bernard
In this session, we will take a look at Amazon DynamoDB and how you can get started building application with it. We will look at table design, common access patterns and compare it to a relational database.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
by Gowri Balasubramanian, AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Cloud storage provides education with a reliable, scalable, and secure alternative to on-premises storage systems. AWS offers eight different object, file, and block storage options supporting applications, archiving and compliance options. This webinar will provide an overview to the services and key education use cases ranging from data center replacement to video storage and file sharing. Services covered include Amazon S3, Amazon EFS, Amazon EBS, Amazon Glacier, Amazon Storage Gateway, and the Snowball family.
Running Oracle Databases on Amazon RDS - DAT313 - re:Invent 2017Amazon Web Services
Amazon Relational Database Service (Amazon RDS) simplifies setup, operation, and management of databases in the cloud. In this session, we will explore Amazon RDS features and best practices that offer graceful migration, high performance, elastic scaling, and high availability for Oracle databases. You will also learn from the Chief Architect for Intuit’s Small Business Division how the QuickBooks Online team is using Amazon RDS for Oracle to scale the world's largest online accounting platform.
AWS SSA Webinar 32 - Getting Started with databases on AWS: Choosing the righ...Cobus Bernard
In this session, we will take you through the different database services that you can choose from on AWS. We will take a look at the workings of each one, from Amazon RDS for relational databases, to Amazon QLDB for ledger databases.
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.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
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.
Migrating Microsoft SQL Server Databases to AWS – Best Practices and Patterns...Amazon Web Services
Migrating databases to the cloud is a critical part of organizations cloud journey and requires careful planning and architecture considerations including migration methods. This session will provide you with best practices and guidelines in migrating and/or architecting hybrid database architecture on AWS with focus on Microsoft SQL server databases. We will review current SQL on RDS, SQL on EC2 capabilities, compare and contrast various migration methods including SQL Export, Backup and Restore, and using AWS Database Migration Service (DMS). We will also look at how Expedia is migrating monolith SQL server databases to AWS using a hybrid approach leveraging SQL Server Distributed Availability Architecture. Expedia will share lessons learned during initial test and deployment phase followed by a demo of their existing architecture and deployment.
AWS Webinar 23 - Getting Started with AWS - Understanding total cost of owner...Cobus Bernard
In this session, we will go over cloud economics and understanding the total cost of ownership (TCO) when building in the cloud and how you are trading upfront capital expenditure (CapEx) for operational expenditure (OpEx). We will also look at how the TCO changes over time as you start modernising your applications to make full use of the cloud's capabilities. Lastly, we will cover the different purchasing options to help you understand how you can reduce costs even further by identifying consistent, base workloads.
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.
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
ARC329_Optimizing Performance and Efficiency for Amazon EC2 and More with Tur...Amazon Web Services
"Every day, systems architects and cloud architects have to size cloud workloads for performance and efficiency. Do you choose T2, C3, C4, M3, or something else for your Amazon Elastic Compute Cloud (Amazon EC2) instance type? Do you need more CPUs, memory, or both? What about distributed applications across regions and Availability Zones? How do IT teams determine the right instance family and size for AWS workloads? Turbonomic solves these challenges with you. Their real-time hybrid cloud management platform can ensure that your workloads get the right resources in real time to assure performance across the compute, storage, network, application, and database layers of AWS, and across your hybrid cloud infrastructure. Get a crash course in understanding workload performance characteristics, and how Turbonomic matches to AWS resources to assure real-time, efficient performance for your AWS environment, with the ability to fully automate these processes. Whether you’re new to the platform or regular users of Amazon EC2, learn to take the guesswork out of what makes each Amazon EC2 instance family unique and appropriate for your business and technical requirements.
Session sponsored by Turbonomic, Inc."
by John McGrath, Startup Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
DEM19 Advanced Auto Scaling and Deployment Tools for Kubernetes and ECSAmazon Web Services
There are many things to consider when architecting to scale a Kubernetes or Amazon EC2 Container Service (Amazon ECS), especially in heterogeneous environments, which are made up of different machine types and sizes. To increase a cluster’s efficiency, it is crucial to choose the right instance size and type for the right workload. In this talk, we discuss the two important concepts of k8s autoscaling: headroom and two-levels scaling. In addition, we review the different k8s deployment tools, including Kubernetes Operations (kops). This session is brought to you by AWS Partner, Spotinst.
Architectures for HPC/HTC Workloads on AWS - CMP306 - re:Invent 2017Amazon Web Services
Researchers and IT professionals who use high-performance computing (HPC) and high-throughput computing (HTC) need a large scale infrastructure to move their research forward. This session provides reference architectures for running your workloads on AWS, which enable you to achieve scale on-demand and reduce your time to science. We debunk myths about HPC in the cloud and demonstrate techniques for running common on-premises workloads in the cloud.
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
AWS SSA Webinar 33 - Getting started with databases on AWS Amazon DynamoDBCobus Bernard
In this session, we will take a look at Amazon DynamoDB and how you can get started building application with it. We will look at table design, common access patterns and compare it to a relational database.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
by Gowri Balasubramanian, AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Cloud storage provides education with a reliable, scalable, and secure alternative to on-premises storage systems. AWS offers eight different object, file, and block storage options supporting applications, archiving and compliance options. This webinar will provide an overview to the services and key education use cases ranging from data center replacement to video storage and file sharing. Services covered include Amazon S3, Amazon EFS, Amazon EBS, Amazon Glacier, Amazon Storage Gateway, and the Snowball family.
Running Oracle Databases on Amazon RDS - DAT313 - re:Invent 2017Amazon Web Services
Amazon Relational Database Service (Amazon RDS) simplifies setup, operation, and management of databases in the cloud. In this session, we will explore Amazon RDS features and best practices that offer graceful migration, high performance, elastic scaling, and high availability for Oracle databases. You will also learn from the Chief Architect for Intuit’s Small Business Division how the QuickBooks Online team is using Amazon RDS for Oracle to scale the world's largest online accounting platform.
AWS SSA Webinar 32 - Getting Started with databases on AWS: Choosing the righ...Cobus Bernard
In this session, we will take you through the different database services that you can choose from on AWS. We will take a look at the workings of each one, from Amazon RDS for relational databases, to Amazon QLDB for ledger databases.
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.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
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.
Migrating Microsoft SQL Server Databases to AWS – Best Practices and Patterns...Amazon Web Services
Migrating databases to the cloud is a critical part of organizations cloud journey and requires careful planning and architecture considerations including migration methods. This session will provide you with best practices and guidelines in migrating and/or architecting hybrid database architecture on AWS with focus on Microsoft SQL server databases. We will review current SQL on RDS, SQL on EC2 capabilities, compare and contrast various migration methods including SQL Export, Backup and Restore, and using AWS Database Migration Service (DMS). We will also look at how Expedia is migrating monolith SQL server databases to AWS using a hybrid approach leveraging SQL Server Distributed Availability Architecture. Expedia will share lessons learned during initial test and deployment phase followed by a demo of their existing architecture and deployment.
WIN301-Migrating Microsoft SQL Server Databases to AWS-Best Practices and Pat...Amazon Web Services
Migrating databases to the cloud is a critical part of organizations cloud journey and requires careful planning and architecture considerations including migration methods. This session will provide you with best practices and guidelines in migrating and/or architecting hybrid database architecture on AWS with focus on Microsoft SQL server databases. We will review current SQL on RDS, SQL on EC2 capabilities, compare and contrast various migration methods including SQL Export, Backup and Restore, and using AWS Database Migration Service (DMS). We will also look at how Expedia is migrating monolith SQL server databases to AWS using a hybrid approach leveraging SQL Server Distributed Availability Architecture. Expedia will share lessons learned during initial test and deployment phase followed by a demo of their existing architecture and deployment.
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by John McGrath, Startup Solutions Architect, AWS
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Microsoft SQL Server is a commonly-used commercial relational database, especially for organizations that use Microsoft development tools. We’ll look at how to run SQL Server on the AWS Cloud, with examples of organizations using it.
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More and more companies consider moving all IT infrastructure to cloud to reduce the running costs and simplify management of IT assets. I've been involved in such migration project to Amazon AWS. Multiple databases were successfully moved to Amazon RDS and a few to Amazon EC2. This presentation will help you understand the capabilities of Amazon RDS and EC2 when it comes to running Oracle Databases, it will help you make the right choice between these two services, and will help you size the target instances and storage volumes according to your needs.
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Database Week at the San Francisco Loft
Oracle and SQL Server on the Cloud
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open commercial databases supported by Amazon RDS.
Level: 200
Speakers:
Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
by John McGrath, Startup Solutions Architect, AWS
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Relational Database Services on AWS - Bill Baldwin, Gareth EagarAmazon Web Services
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
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Bill Baldwin - Global Enterprise Support Lead, AWS Enterprise Support
Gareth Eagar - Solutions Architect, AWS Solutions Architect
AWS Certified Cloud Practitioner Course S11-S17Neal Davis
This deck contains the slides from our AWS Certified Cloud Practitioner video course. It covers:
Section 11 Databases and Analytics
Section 12 Management and Governance
Section 13 AWS Cloud Security and Identity
Section 14 Architecting for the Cloud
Section 15 Accounts, Billing and Support
Section 16 Migration, Machine Learning and More
Section 17 Exam Preparation and Tips
Full course can be found here: https://digitalcloud.training/courses/aws-certified-cloud-practitioner-video-course/
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open commercial databases supported by Amazon RDS.
Speakers:
Roger Dahlstrom - Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
Amazon Relational Database Service – How is it different to what you do today ?Amazon Web Services
Whether you are new to Amazon Relational Database Service (RDS) or just need a refresher on the latest features - this session is for you. We will take you through RDS from the perspective of how you manage your databases on-premise today. That is, we will describe the full lifecycle of a database from provisioning to decommissioning while taking into consideration your performance, scalability, availability, security and maintenance requirements.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
Oracle enterprise applications and middleware such as E-Business Suite, PeopleSoft, Siebel, and WebLogic are central to many IT departments. They often require complex deployments that can greatly benefit from the flexibility, scalability, and security of the cloud. In this session, we discuss architecture patterns and best practices for migrating these applications to and running these applications on AWS. We cover how to work with Oracle enterprise applications and multiple services including Amazon RDS, AWS Database Migration Service, Amazon Elastic File System, and AWS CloudFormation. As part of this, we show examples of successful customer deployments.
David Green, AWS Enterprise Solutions Architect, presents us with typical requirements for Media, Content, and Broadcast workloads, and how they are solved using AWS Cloud storage products. Customer stories are presented in this contest. Understand how Sony DADC, Theory Studios and others implemented their solutions using the AWS Cloud.
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Learn why AWS is building a comprehensive database and analytics platform with purpose-built databases designed to solve specific customer problems.
We dive deeper into the operational database services that AWS offers, such as Amazon RDS, Amazon DynamoDB, and Amazon ElastiCache. Finally, through two demonstrations, you get to see how easy it is to create a MySQL database and migrating it to Amazon Aurora.
Similar to [Pgday.Seoul 2018] AWS Cloud 환경에서 PostgreSQL 구축하기 (20)
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
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By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
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In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
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The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
19. Traditional approaches to scale databases
Each architecture is limited by the monolithic mindset
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Application Application
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Storage
Application
Storage Storage
SQL
Transactions
Caching
Logging
Storage
SQL
Transactions
Caching
Logging
Storage
20. Reimagining the relational database
What if you were inventing the database today?
You would break apart the stack
You would build something that:
Lets layers scale out independently…
Is self-healing…
Leverages distributed services…
21. 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 such as S3,
EC2, VPC, DynamoDB, SWF, and 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
23. Amazon Aurora Storage Engine Overview
Data is replicated 6 times across 3 Availability
Zones
Continuous backup to Amazon S3
(built for 11 9s durability)
Continuous monitoring of nodes and disks for
repair
10 GB segments as unit of repair or hotspot
rebalance
Quorum system for read/write; latency tolerant
Quorum membership changes do not stall writes
Storage volume automatically grows up to 64 TB
AZ 1 AZ 2 AZ 3
Amazon S3
Database
Node
Storage
Node
Storage
Node
Storage
Node
Storage
Node
Storage
Node
Storage
Node
Storage
Monitoring
24. What can fail?
Segment failures (disks)
Node failures (machines)
AZ failures (network or datacenter)
Optimizations
4 out of 6 write quorum
3 out of 6 read quorum
Peer-to-peer replication for repairs
SQL
Transaction
AZ 1 AZ 2 AZ 3
Caching
Amazon Aurora Storage Engine Fault-tolerance
SQL
Transaction
AZ 1 AZ 2 AZ 3
Caching
25. Amazon Aurora Replicas
Availability
Failing database nodes are automatically
detected and replaced
Failing database processes are
automatically detected and recycled
Replicas are automatically promoted to
primary if needed (failover)
Customer specifiable fail-over order
AZ 1 AZ 3AZ 2
Primary
Node
Primary
Node
Primary
Database
Node
Primary
Node
Primary
Node
Read
Replica
Primary
Node
Primary
Node
Read
Replica
Database
and Instance
Monitoring
Performance
Customer applications can scale out read
traffic across read replicas
Read balancing across read replicas
26. Faster, more predictable failover with Amazon Aurora
App
RunningFailure Detection DNS Propagation
Recovery
Database
Failure
Amazon RDS for PostgreSQL is good: failover times of ~60 seconds
Replica-Aware App Running
Failure Detection DNS Propagation
Recovery
Database
Failure
Amazon Aurora is better: failover times < 30 seconds
1 5 - 2 0 s e c 3 - 1 0 s e c
App
Running
1 5 - 2 0 s e c 3 0 - 4 0 s e c
27. Amazon Aurora Continuous Backup
Segment snapshot Log records
Recovery point
Segment 1
Segment 2
Segment 3
Time
• Take periodic snapshot of each segment in parallel; stream the logs to Amazon S3
• Backup happens continuously without performance or availability impact
• At restore, retrieve the appropriate segment snapshots and log streams from S3 to
storage nodes
• Apply log streams to segment snapshots in parallel and asynchronously
28. Traditional databases
Have to replay logs since the last
checkpoint
Typically 5 minutes between checkpoints
Single-threaded in MySQL and
PostgreSQL; requires a large number of
disk accesses
Amazon Aurora
No replay at startup because storage system
is transaction-aware
Underlying storage replays log records
continuously, whether in recovery or not
Coalescing is parallel, distributed, and
asynchronous
Checkpointed Data Log
Crash at T0 requires
a re-application of the
SQL in the log since
last checkpoint
T0 T0
Crash at T0 will result in logs being applied to
each segment on demand, in parallel,
asynchronously
Amazon Aurora Instant Crash Recovery
29. High Performance
Easy
to Operate &
Compatible
High Availability
Secure
by Design
Amazon Aurora with PostgreSQL compatibility
2x-3x more throughput than PostgreSQL
Up to 64 TB of storage per instance
Write jitter reduction
Near synchronous replicas
Reader endpoint
Enhanced OS monitoring
Performance Insights
Push button migration
Auto-scaling storage
Continuous backup and PITR
Easy provisioning / patching
All PostgreSQL features
All RDS for PostgreSQL extensions
AWS DMS supported inbound
Failover in less than 30 seconds
Customer specifiable failover order
Up to 15 readable failover targets
Instant crash recovery
Survivable buffer cache
X-region snapshot copy
Encryption at rest (AWS KMS)
Encryption in transit (SSL)
Amazon VPC by default
Row Level Security
30. Amazon
Aurora
Available
Durable
The Amazon Aurora Database Family
AWS DMS Amazon RDS
AWS IAM, KMS
& VPC
Amazon
S3
Convenient
Compatible
Automatic
Failover
Read
Replicas
X
6 Copies
High
Performance
& Scale
Secure
Encryption at rest
and in transit
Enterprise
Performance
64TB
Storage
PostgreSQL
MySQL
31. Comparison of RDS & Aurora
Category RDS Aurora
Performance Good performance 5x faster for MySQL
3x faster for PostgreSQL
Scalability Up to 5 read replicas
Lag measured in seconds
Up to 15 read replicas
Lag measured in milliseconds
Failover Around 60 seconds Less than 30 seconds
Storage Scales up to 16 TB Scales up to 64 TB. Auto-scales in 10 GB
increments.
High Availability Multi-AZ is available Writes 6 copies to 3 AZs
Backup Takes daily snapshot during backup window
& captures transaction logs
Continuous, asynchronous backup to S3 (no
backup windows)
Instance Types M3, M4, R3, T2 R3, R4, T2 for MySQL
R4 for PostgreSQL
Innovations with Aurora Fast Database Cloning
Fast DDL
Advanced Auditing
Performance Insights (Preview)
Parallel Query (Preview)
Serverless (Preview)
Multi-Master (Coming in 2018)