Amazon RDS is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. In this session, we review the service’s capabilities and its latest features. We also show you how Amazon RDS manages time-consuming database administration tasks, freeing you to focus on your applications and business.
What's new in Amazon Aurora - ADB207 - New York AWS SummitAmazon Web Services
Amazon Aurora is a fully managed relational database that runs on Amazon RDS and offers versions compatible with MySQL and PostgreSQL. Aurora provides the speed, reliability, and availability of commercial databases at a fraction of the cost and is faster than standard MySQL and PostgreSQL databases. In this session, we provide an overview of Aurora, exploring recently announced features, such as serverless, multi-master, and performance insights. We also discuss what you need to get your organization started with Aurora.
Database Freedom: Migrate a relational database to Amazon Aurora - ADB308 - N...Amazon Web Services
Database Freedom is an AWS initiative that accelerates enterprise migrations from commercial databases, like Oracle and SQL Server, 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 and help you practice a database migration scenario.
Amazon RDS is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. In this session, we review the capabilities of the service and the latest available features.
Analyzing and processing streaming data with Amazon EMR - ADB204 - New York A...Amazon Web Services
Customers regularly use Apache Spark running on Amazon EMR to process large amounts of data. As time to insight and the ability to act quickly based on those insights become core differentiators for customers, there is a greater need to be able to analyze data in real time. In this session, we teach you several design patterns to process and analyze real-time streaming data using Amazon EMR and Amazon Kinesis data services.
What's new in Amazon Aurora - ADB203 - Chicago AWS SummitAmazon Web Services
The document discusses Amazon Aurora, a database service from Amazon Web Services (AWS). It provides the following key points:
- Aurora is a relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.
- It offers features like auto-scaling, continuous backups, automated patching and replication across Availability Zones.
- Performance tests showed that Aurora can be 5 times faster for reads and writes compared to MySQL, with more consistent performance under load. Parallel query processing allows further performance gains.
What's new with Amazon Redshift - ADB203 - New York AWS SummitAmazon Web Services
Organizations cannot afford to have a data warehouse that scales slowly or requires a trade-off between performance and concurrence. Amazon Redshift scales to provide consistently fast performance with rapidly growing data and high user and query concurrence. In this session, we highlight Amazon Redshift’s current features and those that are coming soon. Next, we discuss how your Amazon Redshift data warehouse and Amazon S3 data lake enable you to scale storage and compute resources automatically and on demand. We also demo Amazon Redshift’s intelligent maintenance and administration operations that ensure your clusters perform at any scale.
High-Performance-Computing-on-AWS-and-Industry-SimulationAmazon Web Services
High Performance Computing on AWS enables engineers, analysts, and researchers to think beyond the limitations of on-premises HPC infrastructure. AWS HPC solutions address the infrastructure capacity, secure global collaboration, technology obsolescence, and capital expenditure constraints associated with on-premises HPC clusters to give you the freedom to tackle the most challenging HPC workloads and get to your results faster. In this session. we will provide a quick overview of the services that make up the HPC on AWS solution, and share customer success stories across multiple industries, such as Financial Services and Life Sciences.
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...Amazon Web Services
No organization can afford a data warehouse that scales slowly or forces tradeoffs between performance and concurrency. Amazon Redshift scales to provide consistently fast performance with rapidly growing data as well as high user and query concurrency for more than 10,000 customers, including ZS Associates, a professional-services firm serving primarily the Pharmaceutical and Healthcare industries. In this session, we learn how they migrated data-warehousing workloads to Amazon Redshift for scale, agility, cost savings, and performance gain. In addition, they describe their pilot-based approach to migration and the key outcomes achieved. Finally, we highlight recently released and soon-to-come features in Amazon Redshift.
What's new in Amazon Aurora - ADB207 - New York AWS SummitAmazon Web Services
Amazon Aurora is a fully managed relational database that runs on Amazon RDS and offers versions compatible with MySQL and PostgreSQL. Aurora provides the speed, reliability, and availability of commercial databases at a fraction of the cost and is faster than standard MySQL and PostgreSQL databases. In this session, we provide an overview of Aurora, exploring recently announced features, such as serverless, multi-master, and performance insights. We also discuss what you need to get your organization started with Aurora.
Database Freedom: Migrate a relational database to Amazon Aurora - ADB308 - N...Amazon Web Services
Database Freedom is an AWS initiative that accelerates enterprise migrations from commercial databases, like Oracle and SQL Server, 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 and help you practice a database migration scenario.
Amazon RDS is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. In this session, we review the capabilities of the service and the latest available features.
Analyzing and processing streaming data with Amazon EMR - ADB204 - New York A...Amazon Web Services
Customers regularly use Apache Spark running on Amazon EMR to process large amounts of data. As time to insight and the ability to act quickly based on those insights become core differentiators for customers, there is a greater need to be able to analyze data in real time. In this session, we teach you several design patterns to process and analyze real-time streaming data using Amazon EMR and Amazon Kinesis data services.
What's new in Amazon Aurora - ADB203 - Chicago AWS SummitAmazon Web Services
The document discusses Amazon Aurora, a database service from Amazon Web Services (AWS). It provides the following key points:
- Aurora is a relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.
- It offers features like auto-scaling, continuous backups, automated patching and replication across Availability Zones.
- Performance tests showed that Aurora can be 5 times faster for reads and writes compared to MySQL, with more consistent performance under load. Parallel query processing allows further performance gains.
What's new with Amazon Redshift - ADB203 - New York AWS SummitAmazon Web Services
Organizations cannot afford to have a data warehouse that scales slowly or requires a trade-off between performance and concurrence. Amazon Redshift scales to provide consistently fast performance with rapidly growing data and high user and query concurrence. In this session, we highlight Amazon Redshift’s current features and those that are coming soon. Next, we discuss how your Amazon Redshift data warehouse and Amazon S3 data lake enable you to scale storage and compute resources automatically and on demand. We also demo Amazon Redshift’s intelligent maintenance and administration operations that ensure your clusters perform at any scale.
High-Performance-Computing-on-AWS-and-Industry-SimulationAmazon Web Services
High Performance Computing on AWS enables engineers, analysts, and researchers to think beyond the limitations of on-premises HPC infrastructure. AWS HPC solutions address the infrastructure capacity, secure global collaboration, technology obsolescence, and capital expenditure constraints associated with on-premises HPC clusters to give you the freedom to tackle the most challenging HPC workloads and get to your results faster. In this session. we will provide a quick overview of the services that make up the HPC on AWS solution, and share customer success stories across multiple industries, such as Financial Services and Life Sciences.
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...Amazon Web Services
No organization can afford a data warehouse that scales slowly or forces tradeoffs between performance and concurrency. Amazon Redshift scales to provide consistently fast performance with rapidly growing data as well as high user and query concurrency for more than 10,000 customers, including ZS Associates, a professional-services firm serving primarily the Pharmaceutical and Healthcare industries. In this session, we learn how they migrated data-warehousing workloads to Amazon Redshift for scale, agility, cost savings, and performance gain. In addition, they describe their pilot-based approach to migration and the key outcomes achieved. Finally, we highlight recently released and soon-to-come features in Amazon Redshift.
Resiliency-and-Availability-Design-Patterns-for-the-CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
This document discusses using AWS for high-performance computing (HPC). It describes how AWS provides flexible, scalable infrastructure for HPC workloads through services like EC2 instances, EBS storage, FSx file systems, and Batch job scheduling. Case studies are presented of companies like Western Digital and MeteoGroup using AWS for computation-heavy tasks like simulation and weather forecasting. The document emphasizes that AWS allows HPC workloads to scale up and down on demand rather than requiring fixed infrastructure capacity.
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.
Make your data move: Best practices for migrating data to AWS - STG201 - New ...Amazon Web Services
The prospect of moving data to the cloud can be daunting, and making sense of all of the services, tools, and protocols available to do it can be difficult. In this session, learn how to get started moving data into AWS efficiently and securely. We show you online and offline data transfer methods, including AWS DataSync, AWS Transfer for SFTP, and the AWS Snow family, and identify practical use cases to help you select the right service for your needs. This session also includes a live demo of AWS DataSync.
As an official MongoDB-as-a-Service offering from MongoDB Inc., the maker for MongoDB, Atlas is becoming a very popular service offering for those who wish to build their applications in the cloud, regardless on AWS, Azure or GCP. One less known cloud product offered on the Atlas platform is Stitch, A group of services designed to interact with Atlas in every conceivable way, including creating endpoints, triggers, user authentication flows, serverless functions, and a UI to handle all of this. Adding these together, you have a server-less solution running on top of MongoDB cloud.
Introduction to the AWS Well-Architected Framework and AWS WA Tool - SVC214-R...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to successfully operate every day. How do you know whether your team is following best practices or what the risks are in your architectures? In this session, we show how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using the AWS WA Tool in their businesses and share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
The document provides an overview of Amazon Web Services (AWS) and its core infrastructure and services. It describes AWS's global infrastructure including regions, availability zones, and edge locations. It also outlines AWS's core services such as compute, storage, database, and networking services. Finally, it summarizes AWS's approach to security including its shared responsibility model and built-in security features.
How-to-Choose-the-Right-Database-to-Build-High-Performance-Internet-Scale-App...Amazon Web Services
AWS offers the broadest range of purpose-built databases for specific application use cases. In this session, we will show you an overview of the database offering from AWS and elaborate more on Amazon Aurora which is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We will also explore recently released Aurora features, such as Serverless, Multi-Master, and Global databases, and helps you get started.
Scalable, secure log analytics with Amazon ES - ADB302 - Chicago AWS SummitAmazon Web Services
The document discusses Amazon Elasticsearch Service (Amazon ES) and how it can be used for log analytics. Amazon ES is a fully managed service that makes it easy to deploy, manage, and scale Elasticsearch and Kibana in AWS. It allows users to ingest and analyze log data in real time to gain valuable insights from machine-generated data. The document provides examples of how various organizations use Amazon ES for infrastructure monitoring, application monitoring, container monitoring, and security information and event management. It also covers best practices for scaling Amazon ES as data volume increases.
Deep dive on Amazon S3 Glacier Deep Archive - STG301 - Santa Clara AWS SummitAmazon Web Services
The document discusses Amazon S3 Glacier Deep Archive, a new storage class for long-term archive of data. It provides details on how to use Deep Archive including ingesting data via PUT, COPY, cross-region replication and lifecycles. It also discusses retrieval processes and costs. Deep Archive offers the lowest cost for storage, at $0.00099 per GB-month, but has minimum 180 day retrieval times versus hours for regular Glacier.
Introducing Open Distro for Elasticsearch - ADB201 - New York AWS SummitAmazon Web Services
Open Distro for Elasticsearch is a 100% open-source distribution of Elasticsearch, the popular search and analytics engine. In this session, we explore its many new advanced features—previously available only in commercial software—including encryption in transit, role-based access control (RBAC), event monitoring and alerting, SQL support, cluster diagnostics, and more. We also show you how you can join the Open Distro for Elasticsearch community to accelerate open innovation for Elasticsearch.
This session covers best practices, features, and capabilities that users of Microsoft products can leverage in AWS. We emphasize Windows Server, Microsoft SQL Server, Active Directory, and .NET capabilities available and deeply integrated in AWS. With these learnings, you can extend the value of your Microsoft investments, lower total cost of ownership (TCO), and keep users working in familiar environments.
Modernize your data warehouse with Amazon Redshift - ADB305 - New York AWS Su...Amazon Web Services
Can you set up a data warehouse and create a dashboard in less than 60 minutes? You can with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at a low cost. In this workshop, you learn the steps and best practices to deploy your data warehouse in your organization. You also see how to query across petabytes of data in your data warehouse and exabytes of data in your Amazon S3 data lake. Finally, you learn how to easily migrate from traditional or on-premises data warehouses.
Modernize your data warehouse with Amazon Redshift - ADB305 - Atlanta AWS SummitAmazon Web Services
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.
Amazon EC2 instances: Customizable cloud computing across workloads - DEM20-S...Amazon Web Services
General purpose HPC and AI computing in the cloud all have different requirements that can affect your application’s performance and your infrastructure costs. Compute performance and TCO matter when choosing Amazon EC2 instances. Instance types with varying combinations of CPU, memory, storage, and networking capacity give you the flexibility to choose the appropriate mix of resources for your applications, and scale globally. In this session, learn which Intel-powered EC2 instance has the right price-to-performance for your workload. Learn why the underlying technology matters, and how AWS uses customized Intel Xeon Scalable processors to build a wide selection of instance types optimized to fit different use cases. This presentation is brought to you by AWS partner, Intel.
What’s new in Amazon Elastic Compute Cloud (Amazon EC2) - CMP201 - Chicago AW...Amazon Web Services
Amazon EC2 offers a variety of compute instances and is well-suited to every imaginable use case, from static websites to high-performance supercomputing on demand. In this session, we review Amazon EC2 and explore its latest features, including new instance families and how to export Amazon Lightsail instances and volumes to Amazon EC2. We explain differences between hardware types and capabilities, optimal use cases, using Amazon EC2 with Amazon Elastic Block Store (Amazon EBS) for high performance, and scalable storage attached to your instances for relational and nonrelational databases. We also cover best practices for optimizing your Amazon EC2 expenditure.
Enterprises dream of hybrid applications across on-premise and public clouds. Today, we have enterprise applications running largely on-premise while most web-scale applications are built in the cloud. The cloud divide is real and inhibits enterprises from getting leverage in a hybrid cloud world. There is a need for enterprises to unify their multiple clouds and on-premise.
Solutions for Storage and Data Migrations | AWS Summit Tel Aviv 2019AWS Summits
Objects? File Systems? Block? Hybrid? Let's talk about AWS' storage solutions, starting from ways to migrate your data into AWS, through the different storage services AWS has to offer, alongside AWS's storage parterships.
“Lift and shift” storage for business-critical applications - STG203 - New Yo...Amazon Web Services
Among your company’s top priorities should be ensuring that its data is safely and securely persisted. But beyond data integrity, you also need to ensure availability. In this session, learn best practices for AWS block and file storage when supporting business-critical applications such as SAP HANA, Oracle RAC, Microsoft SQL Server, MySQL, Cassandra, and home directories. We discuss migrating mission-critical workload data, selecting volumes or file systems, maximizing performance, and designing for durability and availability. You also learn how to optimize for cost to make sure your “lift and shift” project is a complete success.
Innovation-at-Hyper-scale-Outlook-on-Emerging-TechnologiesAmazon Web Services
The document discusses emerging technologies like artificial intelligence, machine learning, and cloud computing. It highlights how these technologies can enable intuitive and human-centric interfaces, data-driven decisions through artificial intelligence, and constant connectivity through technologies like smart homes and farming. The document also discusses how these technologies are empowering users and changing industries like healthcare, insurance, and more.
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.
Amazon RDS & Amazon Aurora: Relational Databases on AWS - SRV206 - Atlanta AW...Amazon Web Services
This document provides an overview of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using Amazon RDS over managing databases yourself, how to configure an Amazon RDS database instance, and options for database engines, instance types, and storage types. It also covers high availability, read replicas, backups, security, monitoring, and Amazon Aurora.
Resiliency-and-Availability-Design-Patterns-for-the-CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
This document discusses using AWS for high-performance computing (HPC). It describes how AWS provides flexible, scalable infrastructure for HPC workloads through services like EC2 instances, EBS storage, FSx file systems, and Batch job scheduling. Case studies are presented of companies like Western Digital and MeteoGroup using AWS for computation-heavy tasks like simulation and weather forecasting. The document emphasizes that AWS allows HPC workloads to scale up and down on demand rather than requiring fixed infrastructure capacity.
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.
Make your data move: Best practices for migrating data to AWS - STG201 - New ...Amazon Web Services
The prospect of moving data to the cloud can be daunting, and making sense of all of the services, tools, and protocols available to do it can be difficult. In this session, learn how to get started moving data into AWS efficiently and securely. We show you online and offline data transfer methods, including AWS DataSync, AWS Transfer for SFTP, and the AWS Snow family, and identify practical use cases to help you select the right service for your needs. This session also includes a live demo of AWS DataSync.
As an official MongoDB-as-a-Service offering from MongoDB Inc., the maker for MongoDB, Atlas is becoming a very popular service offering for those who wish to build their applications in the cloud, regardless on AWS, Azure or GCP. One less known cloud product offered on the Atlas platform is Stitch, A group of services designed to interact with Atlas in every conceivable way, including creating endpoints, triggers, user authentication flows, serverless functions, and a UI to handle all of this. Adding these together, you have a server-less solution running on top of MongoDB cloud.
Introduction to the AWS Well-Architected Framework and AWS WA Tool - SVC214-R...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to successfully operate every day. How do you know whether your team is following best practices or what the risks are in your architectures? In this session, we show how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using the AWS WA Tool in their businesses and share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
The document provides an overview of Amazon Web Services (AWS) and its core infrastructure and services. It describes AWS's global infrastructure including regions, availability zones, and edge locations. It also outlines AWS's core services such as compute, storage, database, and networking services. Finally, it summarizes AWS's approach to security including its shared responsibility model and built-in security features.
How-to-Choose-the-Right-Database-to-Build-High-Performance-Internet-Scale-App...Amazon Web Services
AWS offers the broadest range of purpose-built databases for specific application use cases. In this session, we will show you an overview of the database offering from AWS and elaborate more on Amazon Aurora which is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We will also explore recently released Aurora features, such as Serverless, Multi-Master, and Global databases, and helps you get started.
Scalable, secure log analytics with Amazon ES - ADB302 - Chicago AWS SummitAmazon Web Services
The document discusses Amazon Elasticsearch Service (Amazon ES) and how it can be used for log analytics. Amazon ES is a fully managed service that makes it easy to deploy, manage, and scale Elasticsearch and Kibana in AWS. It allows users to ingest and analyze log data in real time to gain valuable insights from machine-generated data. The document provides examples of how various organizations use Amazon ES for infrastructure monitoring, application monitoring, container monitoring, and security information and event management. It also covers best practices for scaling Amazon ES as data volume increases.
Deep dive on Amazon S3 Glacier Deep Archive - STG301 - Santa Clara AWS SummitAmazon Web Services
The document discusses Amazon S3 Glacier Deep Archive, a new storage class for long-term archive of data. It provides details on how to use Deep Archive including ingesting data via PUT, COPY, cross-region replication and lifecycles. It also discusses retrieval processes and costs. Deep Archive offers the lowest cost for storage, at $0.00099 per GB-month, but has minimum 180 day retrieval times versus hours for regular Glacier.
Introducing Open Distro for Elasticsearch - ADB201 - New York AWS SummitAmazon Web Services
Open Distro for Elasticsearch is a 100% open-source distribution of Elasticsearch, the popular search and analytics engine. In this session, we explore its many new advanced features—previously available only in commercial software—including encryption in transit, role-based access control (RBAC), event monitoring and alerting, SQL support, cluster diagnostics, and more. We also show you how you can join the Open Distro for Elasticsearch community to accelerate open innovation for Elasticsearch.
This session covers best practices, features, and capabilities that users of Microsoft products can leverage in AWS. We emphasize Windows Server, Microsoft SQL Server, Active Directory, and .NET capabilities available and deeply integrated in AWS. With these learnings, you can extend the value of your Microsoft investments, lower total cost of ownership (TCO), and keep users working in familiar environments.
Modernize your data warehouse with Amazon Redshift - ADB305 - New York AWS Su...Amazon Web Services
Can you set up a data warehouse and create a dashboard in less than 60 minutes? You can with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at a low cost. In this workshop, you learn the steps and best practices to deploy your data warehouse in your organization. You also see how to query across petabytes of data in your data warehouse and exabytes of data in your Amazon S3 data lake. Finally, you learn how to easily migrate from traditional or on-premises data warehouses.
Modernize your data warehouse with Amazon Redshift - ADB305 - Atlanta AWS SummitAmazon Web Services
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.
Amazon EC2 instances: Customizable cloud computing across workloads - DEM20-S...Amazon Web Services
General purpose HPC and AI computing in the cloud all have different requirements that can affect your application’s performance and your infrastructure costs. Compute performance and TCO matter when choosing Amazon EC2 instances. Instance types with varying combinations of CPU, memory, storage, and networking capacity give you the flexibility to choose the appropriate mix of resources for your applications, and scale globally. In this session, learn which Intel-powered EC2 instance has the right price-to-performance for your workload. Learn why the underlying technology matters, and how AWS uses customized Intel Xeon Scalable processors to build a wide selection of instance types optimized to fit different use cases. This presentation is brought to you by AWS partner, Intel.
What’s new in Amazon Elastic Compute Cloud (Amazon EC2) - CMP201 - Chicago AW...Amazon Web Services
Amazon EC2 offers a variety of compute instances and is well-suited to every imaginable use case, from static websites to high-performance supercomputing on demand. In this session, we review Amazon EC2 and explore its latest features, including new instance families and how to export Amazon Lightsail instances and volumes to Amazon EC2. We explain differences between hardware types and capabilities, optimal use cases, using Amazon EC2 with Amazon Elastic Block Store (Amazon EBS) for high performance, and scalable storage attached to your instances for relational and nonrelational databases. We also cover best practices for optimizing your Amazon EC2 expenditure.
Enterprises dream of hybrid applications across on-premise and public clouds. Today, we have enterprise applications running largely on-premise while most web-scale applications are built in the cloud. The cloud divide is real and inhibits enterprises from getting leverage in a hybrid cloud world. There is a need for enterprises to unify their multiple clouds and on-premise.
Solutions for Storage and Data Migrations | AWS Summit Tel Aviv 2019AWS Summits
Objects? File Systems? Block? Hybrid? Let's talk about AWS' storage solutions, starting from ways to migrate your data into AWS, through the different storage services AWS has to offer, alongside AWS's storage parterships.
“Lift and shift” storage for business-critical applications - STG203 - New Yo...Amazon Web Services
Among your company’s top priorities should be ensuring that its data is safely and securely persisted. But beyond data integrity, you also need to ensure availability. In this session, learn best practices for AWS block and file storage when supporting business-critical applications such as SAP HANA, Oracle RAC, Microsoft SQL Server, MySQL, Cassandra, and home directories. We discuss migrating mission-critical workload data, selecting volumes or file systems, maximizing performance, and designing for durability and availability. You also learn how to optimize for cost to make sure your “lift and shift” project is a complete success.
Innovation-at-Hyper-scale-Outlook-on-Emerging-TechnologiesAmazon Web Services
The document discusses emerging technologies like artificial intelligence, machine learning, and cloud computing. It highlights how these technologies can enable intuitive and human-centric interfaces, data-driven decisions through artificial intelligence, and constant connectivity through technologies like smart homes and farming. The document also discusses how these technologies are empowering users and changing industries like healthcare, insurance, and more.
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.
Amazon RDS & Amazon Aurora: Relational Databases on AWS - SRV206 - Atlanta AW...Amazon Web Services
This document provides an overview of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using Amazon RDS over managing databases yourself, how to configure an Amazon RDS database instance, and options for database engines, instance types, and storage types. It also covers high availability, read replicas, backups, security, monitoring, and Amazon Aurora.
This document provides a summary of Amazon RDS and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using RDS over managing databases yourself, and how to configure, scale, secure, monitor, and back up databases using RDS. It also provides an overview of Amazon Aurora, describing its high-performance distributed architecture and how it achieves significantly better performance than MySQL.
DAT302_Deep Dive on Amazon Relational Database Service (RDS)Amazon Web Services
Amazon RDS enables customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of the RDS service and review the latest features available. We do a deep dive into how RDS works and the best practices to achieve the optimal performance, flexibility, and cost saving for your databases.
Amazon RDS enables you to launch an optimally configured, secure, and highly available relational database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming administration tasks, freeing you to focus on your applications and business. In this session, we take a closer look at how Amazon RDS works, and we review best practices to achieve performance, flexibility, and cost saving for your MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server databases on Amazon RDS. We also discuss AWS Database Migration Service, a quick and secure means for migrating your existing RDBMS investments to Amazon RDS.
MySQL is the world's most popular open source relational database and is used by dozens of popular open source applications. AWS provides several ways to run a MySQL application in the cloud, including Amazon EC2, Amazon RDS for MySQL, Amazon RDS for MariaDB, and Amazon Aurora. This session presents the different options for running MySQL in the AWS Cloud, discusses the different ways to migrate your MySQL database to AWS, and provide tips and tricks for optimizing your MySQL workloads in AWS. Also, a customer presents lessons learned while migrating their MySQL databases to AWS.
ENT305 Migrating Your Databases to AWS: Deep Dive on Amazon Relational Databa...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.
by Joyjeet Banerjee, Enterprise Solution Architect, AWS
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories. Level 100
SRV310 Optimizing Relational Databases on AWS: Deep Dive on Amazon RDSAmazon Web Services
Amazon RDS enables you to launch an optimally configured, secure, and highly available relational database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming administration tasks, and freeing you to focus on your applications and business. In this session, we take a closer look at how Amazon RDS works, and we review best practices to achieve performance, flexibility, and cost saving for your MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server databases on Amazon RDS. We also discuss AWS Database Migration Service, a quick and secure means for migrating your existing RDBMS investments to Amazon RDS.
by 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.
by Gowri Balasubramanian, AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Speakers:
Bill Baldwin - Global Enterprise Support Lead, AWS Enterprise Support
Gareth Eagar - Solutions Architect, AWS Solutions Architect
Deep Dive - Amazon Relational Database Services_AWSPSSummit_SingaporeAmazon Web Services
This document provides a summary of Amazon Relational Database Service (RDS) and Amazon Aurora. It discusses how RDS automates administration of relational databases and provides high availability, scalability and backups. Aurora is described as a fully managed relational database with a fast, scalable and highly available architecture. Key features of both services are highlighted such as automated patching, multi-AZ deployment, read replicas, database snapshots, and security/monitoring capabilities. New features of Aurora like MySQL 5.7 compatibility and serverless capabilities are also summarized.
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon Web Services
This session provides the attendee with an overview of Amazon RDS across different database types and then dives deep into the benefits and performance of Amazon Aurora.
Scale Up and Modernize Your Database with Amazon Relational Database Service ...Amazon Web Services
Customers such as FINRA, Blackboard, Pearson, and Arizona State University rely on RDS and Aurora for their mission-critical workloads. Amazon RDS is a fully managed relational database service that enables you to launch a secure, optimally configured, 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. Amazon Aurora is part of the RDS family and is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We will review the capabilities of these services and discuss the latest available features such as Fast DB Clone, Serverless, Global Database, and Performance Insights. We will also cover tools and techniques to migrate your existing workloads to RDS using AWS Database Migration Service.
AWS Webcast - Introduction to Amazon RDS: Low Admin, High Performance Databas...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
In this webinar we review how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. And finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
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.
AWS Webcast - Introduction to RDS Low Admin High Perf DBSAmazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we will discuss how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. Finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
This document discusses moving commercial databases to Amazon Relational Database Service (RDS). It provides an overview of Amazon RDS and options for deploying SQL Server on AWS, including using Amazon RDS which provides a managed experience with high availability, security, performance and scaling capabilities. It also discusses migrating data to and from Amazon RDS and shares a case study from New World Development Co. Ltd.
Similar to What's new in Amazon RDS - ADB206 - New York AWS Summit (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.