The document discusses Amazon Web Services (AWS) databases and database migration services. It provides overviews of AWS Aurora, Amazon DynamoDB, Amazon ElastiCache, and the AWS Database Migration Service. New features are highlighted for Aurora MySQL and PostgreSQL, DynamoDB transactions and on-demand mode, ElastiCache for Redis 5.0, and using Elasticsearch Service and Kinesis Data Streams as targets for database migration. Capabilities around global databases, parallel querying, security and performance monitoring are also summarized.
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
Amazon Aurora Multi-Master: Scaling Out Database Write Performance (DAT415) -...Amazon Web Services
In this session, learn how the Multi-Master capability of Amazon Aurora MySQL enables applications to scale out write performance and achieve continuous read/write availability. Engineering experts dive into the design concepts of Aurora Multi-Master, and provide real-world advice on deploying high-throughput, highly available workloads in Aurora.
Ask Me Anything about Amazon Aurora (DAT369-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We recently introduced several new features, such as Serverless, Multi-Master, Parallel Query, Backtrack, and Performance Insights. Bring your questions about these features or any other Aurora topic.
[NEW LAUNCH!] Deep Dive on Amazon FSx for Windows File Server (STG322-R1) - A...Amazon Web Services
In this session, we explore the new fully managed service that makes it easy to launch and use shared file storage for Windows applications. FSx for Windows provides fully managed file storage built on Microsoft Windows Server, providing native support for Windows file system features and for the Server Message Block (SMB) protocol. Learn about Amazon FSx for Windows File Server features and benefits, and details about its performance and security models. The target audience is storage administrators, application developers, and applications owners and infrastructure operations personnel who build or operate file-based Windows applications or NAS.
Developing with .NET Core on AWS: What's New (DEV318-R1) - AWS re:Invent 2018Amazon Web Services
In this demonstration-heavy session, we illustrate our latest techniques, tools, and libraries for developing end-to-end applications with .NET Core. We focus on serverless applications, but the techniques are broadly relevant. We start by showing you some useful features and best practices for authoring your serverless application, including debugging locally from the IDE and in production. From there, we demonstrate some helpful tools that make it easy to set up your CI/CD workflow from the start. Finally, we deploy our application with AWS Lambda.
According to AWS, Amazon Aurora is the fastest growing service in the company’s history. Many businesses are looking for guidance on how to successfully move to and manage their data on Aurora. Do you know how to launch and configure a cluster on Aurora to ensure that your high-availability and performance requirements are met? Join Eric Johnson, AWS Evangelist at Rackspace, to discuss high availability and replication on Aurora, including extending the replication patterns to meet your application’s needs. He also covers how to choose the right endpoints to optimize writes and reads, as well as the future of Aurora. Spoiler: It’s serverless!
Replicate & Manage Data Using Managed Databases & Serverless Technologies (DA...Amazon Web Services
Organizations often have disparate datasets and find it challenging to replicate and analyze the data to drive positive business outcomes. This workshop leverages AWS managed database services and serverless technologies to help replicate, manage, and analyze data using an MLB dataset. We replicate a SQL Server database to Amazon Aurora Serverless using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool. At the same time, we use AWS Glue, a serverless ETL service, to transform and load the data to Amazon S3. We then use Amazon Athena to interactively analyze data using SQL to enable better business decisions. In the course of this workshop, we use: Amazon EC2, Amazon Aurora Serverless, AWS DMS, Amazon Athena, AWS Glue, and Amazon S3. Have an AWS account and some experience with databases and SQL. Bring your own laptop
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
Amazon Aurora Multi-Master: Scaling Out Database Write Performance (DAT415) -...Amazon Web Services
In this session, learn how the Multi-Master capability of Amazon Aurora MySQL enables applications to scale out write performance and achieve continuous read/write availability. Engineering experts dive into the design concepts of Aurora Multi-Master, and provide real-world advice on deploying high-throughput, highly available workloads in Aurora.
Ask Me Anything about Amazon Aurora (DAT369-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We recently introduced several new features, such as Serverless, Multi-Master, Parallel Query, Backtrack, and Performance Insights. Bring your questions about these features or any other Aurora topic.
[NEW LAUNCH!] Deep Dive on Amazon FSx for Windows File Server (STG322-R1) - A...Amazon Web Services
In this session, we explore the new fully managed service that makes it easy to launch and use shared file storage for Windows applications. FSx for Windows provides fully managed file storage built on Microsoft Windows Server, providing native support for Windows file system features and for the Server Message Block (SMB) protocol. Learn about Amazon FSx for Windows File Server features and benefits, and details about its performance and security models. The target audience is storage administrators, application developers, and applications owners and infrastructure operations personnel who build or operate file-based Windows applications or NAS.
Developing with .NET Core on AWS: What's New (DEV318-R1) - AWS re:Invent 2018Amazon Web Services
In this demonstration-heavy session, we illustrate our latest techniques, tools, and libraries for developing end-to-end applications with .NET Core. We focus on serverless applications, but the techniques are broadly relevant. We start by showing you some useful features and best practices for authoring your serverless application, including debugging locally from the IDE and in production. From there, we demonstrate some helpful tools that make it easy to set up your CI/CD workflow from the start. Finally, we deploy our application with AWS Lambda.
According to AWS, Amazon Aurora is the fastest growing service in the company’s history. Many businesses are looking for guidance on how to successfully move to and manage their data on Aurora. Do you know how to launch and configure a cluster on Aurora to ensure that your high-availability and performance requirements are met? Join Eric Johnson, AWS Evangelist at Rackspace, to discuss high availability and replication on Aurora, including extending the replication patterns to meet your application’s needs. He also covers how to choose the right endpoints to optimize writes and reads, as well as the future of Aurora. Spoiler: It’s serverless!
Replicate & Manage Data Using Managed Databases & Serverless Technologies (DA...Amazon Web Services
Organizations often have disparate datasets and find it challenging to replicate and analyze the data to drive positive business outcomes. This workshop leverages AWS managed database services and serverless technologies to help replicate, manage, and analyze data using an MLB dataset. We replicate a SQL Server database to Amazon Aurora Serverless using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool. At the same time, we use AWS Glue, a serverless ETL service, to transform and load the data to Amazon S3. We then use Amazon Athena to interactively analyze data using SQL to enable better business decisions. In the course of this workshop, we use: Amazon EC2, Amazon Aurora Serverless, AWS DMS, Amazon Athena, AWS Glue, and Amazon S3. Have an AWS account and some experience with databases and SQL. Bring your own laptop
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to run SQL Server on Amazon RDS, best practices for migration from on-premises or Amazon EC2 into Amazon RDS, and the pros and cons of running in Amazon RDS for SQL Server today. We also discuss workarounds for customer needs that are not supported today with Amazon RDS.
Oracle Enterprise Solutions on AWS (GPSCT203) - AWS re:Invent 2018Amazon Web Services
Oracle enterprise applications and middleware, such as E-Business Suite, PeopleSoft, Siebel, and WebLogic, are central to many IT departments. They often require complex deployments that can greatly benefit from the flexibility, scalability, and security of the cloud. In this interactive session, we discuss architecture patterns and best practices for migrating these applications to and running these applications on AWS. We cover how to work with Oracle enterprise applications and multiple AWS services, including Amazon RDS, AWS Database Migration Service, Amazon Elastic File System, and AWS CloudFormation. We also share examples of successful customer deployments.
Hands-On: Building a Migration Strategy for SQL Server on AWS (WIN310) - AWS ...Amazon Web Services
In this workshop, we discuss how to migrate SQL Server databases to AWS. Following a short presentation, attendees have the opportunity to choose a hands-on walkthrough to migrate a SQL Server database from an on-premises environment to SQL Server on Amazon EC2 or SQL Server on Amazon RDS. Bring a laptop for the hands-on exercises.
Designing a Migration Strategy for Your SQL Server Infrastructure (WIN322) - ...Amazon Web Services
Do you have questions about your SQL Server migration that need answers? In this chalk talk, we lay out the fundamental choices for migrating SQL Server databases to AWS, and we answer all of your questions about how to approach and execute your migration. This is an interactive question-and-answer session, so please bring your questions and join us for this discussion.
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
Tailor-Made SaaS: Multi-Tenant Customizations with AWS Lambda (GPSCT311) - AW...Amazon Web Services
Customers want to bring their own code to extend managed solutions, but as a SaaS provider, running customer-provided code on your own infrastructure raises a number of concerns. In this session, we discuss approaches to building SaaS extension mechanisms using AWS Lambda that provide your customers with the operational and pricing benefits of a multi-tenant solution while still enabling them to tailor the product to their unique needs. We dive into security architectures for isolating customer code, discuss how to avoid noisy neighbor issues, and talk about the operational considerations for scaling these solutions to thousands of tenants.
Back Up SQL Server to Amazon S3 with Microsoft Tools and File Gateway (STG380...Amazon Web Services
A widespread method to protect databases, particularly for DBAs, is to dump a database and its logs to a file share, often redundantly consuming both production and backup storage capacity, for a backup. What if that file share really lived on Amazon S3? It can. This session describes a backup architecture using File Gateway and native SQL Server and PowerShell commands deployed by AWS customer Direct Supply. Attend this session to learn how you can reduce on-premises storage while simplifying backup, recovery, and even migration of Microsoft SQL Server to AWS.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
by Darin Briskman, Technical Evangelist, AWS
Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. We’ll explore best practices for microservice design and the data design needed to support microservices, using Aurora, RDS, DynamoDB, DAX, ElastiCache, and Lambda and we’ll do a design exercise in converting a monolithic solution to a microservices design.
Best Practices for Running SQL Server on Amazon RDS (DAT323) - AWS re:Invent ...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) provides a managed service to run SQL Server databases in AWS. While Amazon RDS handles provisioning and maintaining the SQL Server instance, there are things you can do to ensure that the SQL Server instance is healthy. We'll review some best practices involved in configuring the Amazon RDS SQL Server instance, focusing on availability, security and migration. We'll also hear from our customer Allstate, sharing details about their use of Amazon RDS.
Custom resources enable AWS CloudFormation customers to write customized provisioning logic in templates. Such logic can be useful in changing how existing resources get created, changed, or deleted, or in including resources that are not available as supported resource types. In this session, we cover best practices, including when to use custom resources versus other programmatic alternatives. We also cover existing custom resources that are available for download and reuse.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
In this session you will learn the best practices and various use cases for performing data analytics at scale with Amazon EMR. We will introduce you to Amazon EMR design patterns and share how to use big data analytics to provide business insights.
Speakers: Dr Haydn Read, Head of Infrastructure Programmes, Auckland City Council & Brad Staszcuk, Solutions Architect, AWS
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to run SQL Server on Amazon RDS, best practices for migration from on-premises or Amazon EC2 into Amazon RDS, and the pros and cons of running in Amazon RDS for SQL Server today. We also discuss workarounds for customer needs that are not supported today with Amazon RDS.
Oracle Enterprise Solutions on AWS (GPSCT203) - AWS re:Invent 2018Amazon Web Services
Oracle enterprise applications and middleware, such as E-Business Suite, PeopleSoft, Siebel, and WebLogic, are central to many IT departments. They often require complex deployments that can greatly benefit from the flexibility, scalability, and security of the cloud. In this interactive session, we discuss architecture patterns and best practices for migrating these applications to and running these applications on AWS. We cover how to work with Oracle enterprise applications and multiple AWS services, including Amazon RDS, AWS Database Migration Service, Amazon Elastic File System, and AWS CloudFormation. We also share examples of successful customer deployments.
Hands-On: Building a Migration Strategy for SQL Server on AWS (WIN310) - AWS ...Amazon Web Services
In this workshop, we discuss how to migrate SQL Server databases to AWS. Following a short presentation, attendees have the opportunity to choose a hands-on walkthrough to migrate a SQL Server database from an on-premises environment to SQL Server on Amazon EC2 or SQL Server on Amazon RDS. Bring a laptop for the hands-on exercises.
Designing a Migration Strategy for Your SQL Server Infrastructure (WIN322) - ...Amazon Web Services
Do you have questions about your SQL Server migration that need answers? In this chalk talk, we lay out the fundamental choices for migrating SQL Server databases to AWS, and we answer all of your questions about how to approach and execute your migration. This is an interactive question-and-answer session, so please bring your questions and join us for this discussion.
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
Tailor-Made SaaS: Multi-Tenant Customizations with AWS Lambda (GPSCT311) - AW...Amazon Web Services
Customers want to bring their own code to extend managed solutions, but as a SaaS provider, running customer-provided code on your own infrastructure raises a number of concerns. In this session, we discuss approaches to building SaaS extension mechanisms using AWS Lambda that provide your customers with the operational and pricing benefits of a multi-tenant solution while still enabling them to tailor the product to their unique needs. We dive into security architectures for isolating customer code, discuss how to avoid noisy neighbor issues, and talk about the operational considerations for scaling these solutions to thousands of tenants.
Back Up SQL Server to Amazon S3 with Microsoft Tools and File Gateway (STG380...Amazon Web Services
A widespread method to protect databases, particularly for DBAs, is to dump a database and its logs to a file share, often redundantly consuming both production and backup storage capacity, for a backup. What if that file share really lived on Amazon S3? It can. This session describes a backup architecture using File Gateway and native SQL Server and PowerShell commands deployed by AWS customer Direct Supply. Attend this session to learn how you can reduce on-premises storage while simplifying backup, recovery, and even migration of Microsoft SQL Server to AWS.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
by Darin Briskman, Technical Evangelist, AWS
Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. We’ll explore best practices for microservice design and the data design needed to support microservices, using Aurora, RDS, DynamoDB, DAX, ElastiCache, and Lambda and we’ll do a design exercise in converting a monolithic solution to a microservices design.
Best Practices for Running SQL Server on Amazon RDS (DAT323) - AWS re:Invent ...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) provides a managed service to run SQL Server databases in AWS. While Amazon RDS handles provisioning and maintaining the SQL Server instance, there are things you can do to ensure that the SQL Server instance is healthy. We'll review some best practices involved in configuring the Amazon RDS SQL Server instance, focusing on availability, security and migration. We'll also hear from our customer Allstate, sharing details about their use of Amazon RDS.
Custom resources enable AWS CloudFormation customers to write customized provisioning logic in templates. Such logic can be useful in changing how existing resources get created, changed, or deleted, or in including resources that are not available as supported resource types. In this session, we cover best practices, including when to use custom resources versus other programmatic alternatives. We also cover existing custom resources that are available for download and reuse.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
In this session you will learn the best practices and various use cases for performing data analytics at scale with Amazon EMR. We will introduce you to Amazon EMR design patterns and share how to use big data analytics to provide business insights.
Speakers: Dr Haydn Read, Head of Infrastructure Programmes, Auckland City Council & Brad Staszcuk, Solutions Architect, AWS
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
Using Performance Insights to Optimize Database Performance (DAT402) - AWS re...Amazon Web Services
Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.
Scaling Fantasy Sports Platform at 3M Requests/Minute with ElastiCache & Auro...Amazon Web Services
Dream11 is India’s leading sports technology startup, with a growing base of over 40 million users playing multiple sports, such as fantasy cricket, football, kabaddi, and the NBA. Dream11 serves 1M concurrent users spawning 3M request per minute and a response time of under 50 milliseconds. We use Amazon Aurora and Amazon ElastiCache to handle flash traffic, surging up to 3x within a 30-second response window. In this session, we discuss scaling transactions without locking and methods for handling flash traffic, thereby serving 5M daily active users with 4x growth year over year.
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
Database Week at the San Francisco Loft
Open Source Databases on the Cloud
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open source databases supported by Amazon RDS.
Level: 200
Speakers:
Amy Che - Sr. Solutions Delivery Manager, AWS
Ben Romano - Associate Solutions Architect, AWS
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us to understand best practices for scaling your resources from one to millions of users. We’ll show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Introducing Performance Insights - Cloud-Based Database Performance Monitorin...Amazon Web Services
Learning Objectives:
- Learn how Performance Insights helps solve the database monitoring problem
- Understand what data is collected and how to use it to determine the load on the database
- Learn how to read the Performance Insights dashboard and drill down to analyze bottlenecks
10 Hacks for Optimizing MySQL in the Cloud - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to optimize your MySQL databases for high availability, performance, and disaster resilience using RDS
- Learn how to implement a well-designed and tested DR strategy using RDS MySQL Multi-AZ, Read Replicas, and more
- Learn how to utilize AWS Global Infrastructure benefits to build a well-architected MySQL database framework
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
In this workshop, learn how to create a serverless data lake architecture. Understand how to ingest data at scale from multiple data sources, how to transform the data, and how to catalog it to make it available for querying using a variety of tools. Also learn how to set up governance and data quality controls.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Karl Hart - Solutions Architect, AWS
John Pignata - Startup Solutions Architect, AWS
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open source databases supported by Amazon RDS.
Speakers:
Kevin Jernigan - Principal Product Manager, Aurora, AWS
Axel Larsson - Enterprise Support Lead, AWS
Similar to IVS CTO Night And Day 2018 Winter - [re:Cap] AWS Databases (20)
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Japan YouTube 公式チャンネルでライブ配信された 2022年4月26日の AWS Developer Live Show 「Infrastructure as Code 談議 2022」 の資料となります。 当日の配信はこちら からご確認いただけます。
https://youtu.be/ed35fEbpyIE
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
202204 AWS Black Belt Online Seminar Amazon Connect Salesforce連携(第1回 CTI Adap...Amazon Web Services Japan
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
* AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
* 過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
企業間の連携においてもSaaS活用シフトが進む一方で、インターネット経由というイメージからセキュリティーに不安を感じて踏みとどまるユーザーは多くいます。こうした懸念を払しょくするAWS PrivateLinkを活用した企業間のプライベート接続や閉域網との構成例、SaaS事業者様からなるPrivateLinkパートナーコミュニティ形成の取り組みをご紹介します。
2021年12月9日に開催された「SaaS on AWS Day 2022」での講演内容です。
パッケージソフトウェアをお持ちのお客様が新たにSaaS版のアプリケーションを検討したいというニーズが増えています。一方で"SaaS版を作っても成功するかわからない"、"WEBアプリケーションを作る技術力や知見がない"といった不安からSaaS化における課題があることも事実です。本セッションでは、小さく早くSaaSビジネスを始めたいお客様に向けて、Amazon AppStream2.0を用いた既存アプリケーションのSaaS化手法をご紹介します。
2021年12月9日に開催された「SaaS on AWS Day 2021」での講演内容です。
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.