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.
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.
마이크로 서비스를 위한 AWS Cloud Map & App Mesh - Saeho Kim (AWS Solutions Architect)Amazon Web Services Korea
The document discusses service mesh and AWS App Mesh. It provides an overview of the challenges of microservices architectures like control over communication between services and lack of visibility. It then describes how a service mesh like AWS App Mesh addresses these challenges by providing a control plane that configures proxies for observability, traffic management and resiliency without requiring changes to application code. It presents AWS App Mesh as a fully managed service mesh that works across compute platforms like ECS, EKS and EC2.
Your Virtual Data Center: VPC Fundamentals and Connectivity Options (NET201) ...Amazon Web Services
This document provides an overview of Amazon Virtual Private Clouds (VPCs). It discusses VPC fundamentals like choosing IP address ranges and creating subnets. It also covers connectivity options for VPCs like creating internet gateways, VPC peering, and connecting to on-premises networks. The document lists additional topics like using security groups, VPC endpoints, DNS, and VPC flow logs. Related training sessions are also referenced.
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.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Cloudwatch: Monitoring your Services with Metrics and AlarmsFelipe
CloudWatch is AWS's monitoring and metrics service that collects data from AWS services and allows users to set alarms and view metrics. It collects both built-in metrics provided by AWS services as well as custom metrics defined by users. CloudWatch allows viewing metrics and setting alarms in the console, through APIs, and via integration with other AWS services. It provides visibility into applications and infrastructure to help with decisions around capacity planning and troubleshooting.
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.
마이크로 서비스를 위한 AWS Cloud Map & App Mesh - Saeho Kim (AWS Solutions Architect)Amazon Web Services Korea
The document discusses service mesh and AWS App Mesh. It provides an overview of the challenges of microservices architectures like control over communication between services and lack of visibility. It then describes how a service mesh like AWS App Mesh addresses these challenges by providing a control plane that configures proxies for observability, traffic management and resiliency without requiring changes to application code. It presents AWS App Mesh as a fully managed service mesh that works across compute platforms like ECS, EKS and EC2.
Your Virtual Data Center: VPC Fundamentals and Connectivity Options (NET201) ...Amazon Web Services
This document provides an overview of Amazon Virtual Private Clouds (VPCs). It discusses VPC fundamentals like choosing IP address ranges and creating subnets. It also covers connectivity options for VPCs like creating internet gateways, VPC peering, and connecting to on-premises networks. The document lists additional topics like using security groups, VPC endpoints, DNS, and VPC flow logs. Related training sessions are also referenced.
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.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Cloudwatch: Monitoring your Services with Metrics and AlarmsFelipe
CloudWatch is AWS's monitoring and metrics service that collects data from AWS services and allows users to set alarms and view metrics. It collects both built-in metrics provided by AWS services as well as custom metrics defined by users. CloudWatch allows viewing metrics and setting alarms in the console, through APIs, and via integration with other AWS services. It provides visibility into applications and infrastructure to help with decisions around capacity planning and troubleshooting.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the six available database engines (with the seventh on the way), and examine customer success stories.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
1) The document discusses initial considerations for deploying applications on AWS such as how the service will be accessed, what data is being handled, and compliance needs.
2) It then covers the AWS shared responsibility model and who manages what between AWS and the customer for different types of AWS services.
3) Practical advice is provided on security controls to deploy on AWS, including using Route 53, CloudFront, S3 buckets, application load balancers, and VPC components.
4) The document concludes by recommending several AWS security audit tools including CloudTrail, Config, GuardDuty, and VPC flow logs to ensure deployments are working as planned.
by Robbie Wright, HEad of Amazon S3 & Amazon Glacier Product Marketing, AWS
Learn from AWS on how we've designed S3 and Glacier to be durable, available, and massively scalable. Hear how customers are using these services to enhance the accessibility and usability of their data. We will also dive into the benefits of object storage, its applications, and some best practices to follow.
This document provides an overview of Amazon Route 53 DNS services including:
- IPv4 and IPv6 address spaces and how Route 53 resolves domain names to IP addresses using A records.
- Common DNS record types like NS, SOA, CNAME and how they work.
- Route 53 routing policies for controlling traffic like simple, weighted, latency, failover and geolocation routing.
- How alias records can simplify configuration by automatically reflecting changes to referenced resources.
- A example of setting up Route 53 with domains, record sets, Elastic Load Balancers and instances across regions.
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
Adapting the capacity of your compute infrastructure to the demands of your applications is the domain of Auto Scaling. Adding and removing Amazon EC2 instances is only part of the story, though – there is more to it than first meets the eye. This session introduces the basics of how to use Auto Scaling before moving on to more advanced topics such as mixing Spot and On-Demand instances to optimize cost or strategies for blue/green deployments. If you have used Auto Scaling before, you can learn about useful new features like lifecycle hooks and step scaling policies that make Auto Scaling even more widely applicable.
What's New in Amazon RDS for Open-Source & Commercial DatabasesAmazon Web Services
This document provides an overview of Amazon Relational Database Service (RDS). RDS offers fully managed relational databases in the cloud to reduce effort, risk, and cost compared to hosting databases on-premises or unmanaged instances. It supports multiple commercial database engines including MySQL, PostgreSQL, MariaDB, Oracle, SQL Server and the proprietary Amazon Aurora. Key features of RDS include high availability, automatic backups, easy scaling, encryption, integration with other AWS services, and compliance with industry standards. Recent updates include enhanced OS monitoring, performance insights previews, and new database engines and features.
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
This document provides an introduction and overview of Amazon EC2. It discusses what EC2 is, its core components and features such as Elastic Block Storage, Auto Scaling, and Elastic Load Balancing. It covers EC2 pricing models including On-Demand, Reserved, and Spot Instances. It also provides examples of how to cost-effectively run ASP.NET applications on EC2 and discusses tools for managing EC2 resources.
Architecture Patterns for Multi-Region Active-Active Applications (ARC209-R2)...Amazon Web Services
Do you need your applications to extend across multiple regions? Whether for disaster recovery, data sovereignty, data locality, or extremely high availability, many AWS customers choose to deploy services across regions. Join us as we explore how to design and succeed with active-active multi-region architectures. 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.
Deep dive session on Cloud Financial Management Fundamentals and Cost Optimization in AWS.
Presented by Spencer Marley, APAC BD at the November 2018 AWSUGBLR Meetup
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
AWS Glue is a fully managed, serverless extract, transform, and load (ETL) service that makes it easy to move data between data stores. AWS Glue simplifies and automates the difficult and time consuming tasks of data discovery, conversion mapping, and job scheduling so you can focus more of your time querying and analyzing your data using Amazon Redshift Spectrum and Amazon Athena. In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
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.
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.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the six available database engines (with the seventh on the way), and examine customer success stories.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
1) The document discusses initial considerations for deploying applications on AWS such as how the service will be accessed, what data is being handled, and compliance needs.
2) It then covers the AWS shared responsibility model and who manages what between AWS and the customer for different types of AWS services.
3) Practical advice is provided on security controls to deploy on AWS, including using Route 53, CloudFront, S3 buckets, application load balancers, and VPC components.
4) The document concludes by recommending several AWS security audit tools including CloudTrail, Config, GuardDuty, and VPC flow logs to ensure deployments are working as planned.
by Robbie Wright, HEad of Amazon S3 & Amazon Glacier Product Marketing, AWS
Learn from AWS on how we've designed S3 and Glacier to be durable, available, and massively scalable. Hear how customers are using these services to enhance the accessibility and usability of their data. We will also dive into the benefits of object storage, its applications, and some best practices to follow.
This document provides an overview of Amazon Route 53 DNS services including:
- IPv4 and IPv6 address spaces and how Route 53 resolves domain names to IP addresses using A records.
- Common DNS record types like NS, SOA, CNAME and how they work.
- Route 53 routing policies for controlling traffic like simple, weighted, latency, failover and geolocation routing.
- How alias records can simplify configuration by automatically reflecting changes to referenced resources.
- A example of setting up Route 53 with domains, record sets, Elastic Load Balancers and instances across regions.
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
Adapting the capacity of your compute infrastructure to the demands of your applications is the domain of Auto Scaling. Adding and removing Amazon EC2 instances is only part of the story, though – there is more to it than first meets the eye. This session introduces the basics of how to use Auto Scaling before moving on to more advanced topics such as mixing Spot and On-Demand instances to optimize cost or strategies for blue/green deployments. If you have used Auto Scaling before, you can learn about useful new features like lifecycle hooks and step scaling policies that make Auto Scaling even more widely applicable.
What's New in Amazon RDS for Open-Source & Commercial DatabasesAmazon Web Services
This document provides an overview of Amazon Relational Database Service (RDS). RDS offers fully managed relational databases in the cloud to reduce effort, risk, and cost compared to hosting databases on-premises or unmanaged instances. It supports multiple commercial database engines including MySQL, PostgreSQL, MariaDB, Oracle, SQL Server and the proprietary Amazon Aurora. Key features of RDS include high availability, automatic backups, easy scaling, encryption, integration with other AWS services, and compliance with industry standards. Recent updates include enhanced OS monitoring, performance insights previews, and new database engines and features.
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
This document provides an introduction and overview of Amazon EC2. It discusses what EC2 is, its core components and features such as Elastic Block Storage, Auto Scaling, and Elastic Load Balancing. It covers EC2 pricing models including On-Demand, Reserved, and Spot Instances. It also provides examples of how to cost-effectively run ASP.NET applications on EC2 and discusses tools for managing EC2 resources.
Architecture Patterns for Multi-Region Active-Active Applications (ARC209-R2)...Amazon Web Services
Do you need your applications to extend across multiple regions? Whether for disaster recovery, data sovereignty, data locality, or extremely high availability, many AWS customers choose to deploy services across regions. Join us as we explore how to design and succeed with active-active multi-region architectures. 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.
Deep dive session on Cloud Financial Management Fundamentals and Cost Optimization in AWS.
Presented by Spencer Marley, APAC BD at the November 2018 AWSUGBLR Meetup
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
AWS Glue is a fully managed, serverless extract, transform, and load (ETL) service that makes it easy to move data between data stores. AWS Glue simplifies and automates the difficult and time consuming tasks of data discovery, conversion mapping, and job scheduling so you can focus more of your time querying and analyzing your data using Amazon Redshift Spectrum and Amazon Athena. In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
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.
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.
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.
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
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.
Scaling your Application with AWS Relational Databases I AWS Dev Day 2018AWS Germany
Along with diving deep in managed databases on the cloud, like MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and MariaDB, in this session, we also looked at options to make relational databases easy to deploy and scale through automated backup and high availability, and how Amazon Aurora can provide enterprise scalability and resiliency at an open source price. Learn more about Amazon Aurora here: https://aws.amazon.com/rds/aurora/
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.
The document provides an overview of Amazon Relational Database Service (Amazon RDS) and how it can be used to manage relational databases in the AWS cloud. It discusses the various engines supported by Amazon RDS, benefits of using Amazon RDS such as automated provisioning and high availability, factors to consider in choosing an Amazon RDS engine and instance type, storage options, and methods for ensuring database security, backups, and monitoring performance.
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.
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.
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.
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.
Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018Amazon Web Services
Cost and Performance Optimisation in Amazon RDS
This session is for database administrators and other technical users looking to learn the top techniques for optimising the performance and cost of operating Amazon RDS. You will leave with a toolkit of best-practices that can be applied to your deployments for achieving optimal performance, flexibility, and cost-savings.
Brad Staszcuk, Solutions Architect, Amazon Web Services
Amazon Web Services - Relational Database Service Meetupcyrilkhairallah
The document discusses Amazon Relational Database Service (RDS), a managed database service. It provides an overview of RDS and how it can be used to deploy, operate, and scale databases in the cloud more easily without manual administration. Key topics covered include how to scale databases with RDS, optimize costs using reserved instances, monitor databases with CloudWatch, take automated backups, and perform other administrative tasks without managing the underlying infrastructure.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
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.
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.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
AWS offers customers a range of different database options. These include Amazon DynamoDB, a fully-managed NoSQL database service that makes it simple and cost-effective to store and retrieve any amount of data as well as Amazon Relational Database Service (RDS), a service that makes it easy to set up, operate, and scale a relational database in the cloud with support for MySQL, Microsoft SQL Server, PostgreSQL, and Oracle Database. In this session you’ll get an overview of AWS database options and how they might help support your application and see how to get started.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Speaker:
Shaun Pearce, AWS Solutions Architect
Similar to DAT302_Deep Dive on Amazon Relational Database Service (RDS) (20)
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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.
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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.