DAT339_Replicate, Analyze, and Visualize Datasets Using AWS Database Migratio...Amazon Web Services
Customers often have disparate datasets within their data centers and on AWS. As a result, they find it challenging to replicate and analyze the data and drive positive business outcomes. In this workshop, we use AWS managed database services and serverless technologies to help replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. Then, we use Amazon Athena to interactively analyze data using SQL. Finally, we use Amazon QuickSight to visualize the data and enable better business decisions.
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS SnapshotsAmazon Web Services
With Amazon EBS, you can easily make a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review the basics of how snapshots work as well as how to tag snapshots, track costs, and automate snapshots using AWS Lambda. We describe best practices and share tips for success throughout.
CMP217_Scale In-Memory Workloads on Amazon EC2 X1 and X1e Instances with up t...Amazon Web Services
Amazon EC2 X1 and X1e instances are designed to demand memory-optimized enterprise workloads, including production installations of SAP HANA, Microsoft SQL Server, Apache Spark, and Presto. Just recently released, x1e.32xlarge are our largest cloud-native instances yet, offering 4 TB of DDR4 memory per instance. Join this session for a detailed look into this new instance, and learn how enterprise customers are using these instances to run mission-critical workloads, such as SAP HANA, to realize greater speed and agility.
DAT316_Report from the field on Aurora PostgreSQL PerformanceAmazon Web Services
Tatsuo Ishii from SRA OSS has done extensive testing to compare the Aurora PostgreSQL-compatible Edition with standard PostgreSQL. In this session, he will present his performance testing results, and his work on Pgpool-II with Aurora; Pgpool-II is an open source tool which provides load balancing, connection pooling, and connection management for PostgreSQL.
In this workshop, attendees get hands-on experience using Kubernetes and Kops (Kubernetes Operations), as described in our recent blog. Attendees learn how to provision a cluster, assign role-based permissions and security, and launch a container. If you're interested in learning best practices for running Kubernetes on AWS, don’t miss this workshop.
We have a packed 2.5 hrs worth of self-guided hands-on tutorials to get you started with Kubernetes using AWS best practices. This workshop provides instructions to create, manage, and scale a Kubernetes cluster on AWS, as well as how to deploy applications, scale them, run stateless and stateful containers, perform service discovery between different microservices, and other similar concepts.
One of the prerequisites is to create an AWS Account beforehand so that you can get started quickly. We recommend to create an Account at least few days before reInvent.
Here is the info on creating and activating your AWS Account: https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/
Also, try launching an EC2 instance (t2.micro) and terminate it after you see successful launch. We will be handing out AWS credits after you complete the workshop and exit the room.
We are excited to see you at reInvent and are looking forward to diving deep into Kubernetes and its ecosystem of products on AWS.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
DAT339_Replicate, Analyze, and Visualize Datasets Using AWS Database Migratio...Amazon Web Services
Customers often have disparate datasets within their data centers and on AWS. As a result, they find it challenging to replicate and analyze the data and drive positive business outcomes. In this workshop, we use AWS managed database services and serverless technologies to help replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. Then, we use Amazon Athena to interactively analyze data using SQL. Finally, we use Amazon QuickSight to visualize the data and enable better business decisions.
CMP304_Deep Dive Backing Up Amazon EC2 with Amazon EBS SnapshotsAmazon Web Services
With Amazon EBS, you can easily make a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review the basics of how snapshots work as well as how to tag snapshots, track costs, and automate snapshots using AWS Lambda. We describe best practices and share tips for success throughout.
CMP217_Scale In-Memory Workloads on Amazon EC2 X1 and X1e Instances with up t...Amazon Web Services
Amazon EC2 X1 and X1e instances are designed to demand memory-optimized enterprise workloads, including production installations of SAP HANA, Microsoft SQL Server, Apache Spark, and Presto. Just recently released, x1e.32xlarge are our largest cloud-native instances yet, offering 4 TB of DDR4 memory per instance. Join this session for a detailed look into this new instance, and learn how enterprise customers are using these instances to run mission-critical workloads, such as SAP HANA, to realize greater speed and agility.
DAT316_Report from the field on Aurora PostgreSQL PerformanceAmazon Web Services
Tatsuo Ishii from SRA OSS has done extensive testing to compare the Aurora PostgreSQL-compatible Edition with standard PostgreSQL. In this session, he will present his performance testing results, and his work on Pgpool-II with Aurora; Pgpool-II is an open source tool which provides load balancing, connection pooling, and connection management for PostgreSQL.
In this workshop, attendees get hands-on experience using Kubernetes and Kops (Kubernetes Operations), as described in our recent blog. Attendees learn how to provision a cluster, assign role-based permissions and security, and launch a container. If you're interested in learning best practices for running Kubernetes on AWS, don’t miss this workshop.
We have a packed 2.5 hrs worth of self-guided hands-on tutorials to get you started with Kubernetes using AWS best practices. This workshop provides instructions to create, manage, and scale a Kubernetes cluster on AWS, as well as how to deploy applications, scale them, run stateless and stateful containers, perform service discovery between different microservices, and other similar concepts.
One of the prerequisites is to create an AWS Account beforehand so that you can get started quickly. We recommend to create an Account at least few days before reInvent.
Here is the info on creating and activating your AWS Account: https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/
Also, try launching an EC2 instance (t2.micro) and terminate it after you see successful launch. We will be handing out AWS credits after you complete the workshop and exit the room.
We are excited to see you at reInvent and are looking forward to diving deep into Kubernetes and its ecosystem of products on AWS.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
by Martin Schade, Enterprise Solutions Architect, & Gareth Eagar, Solutions Architect, AWS
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 in this session to understand best practices for 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.
Dive deep into storage solutions for enterprise applications, debunk performance and availability perceptions, and learn about anti-patterns. Focusing on consulting and technology partner use cases, this session incorporates live demonstrations, including APN Competency Partner solutions. Attendees learn about reference architectures for enterprise storage solutions and how to incorporate components into new solutions for enterprise workloads.
MCL314_Unlocking Media Workflows Using Amazon RekognitionAmazon Web Services
Companies can have large amounts of image and video content in storage with little or no insight about what they have—effectively sitting on an untapped licensing and advertising goldmine. Learn how media companies are using Amazon Rekognition APIs for object or scene detection, facial analysis, facial recognition, or celebrity recognition to automatically generate metadata for images to provide new licensing and advertising revenue opportunities. Understand how to use Amazon Rekognition APIs to index faces into a collection at high scale, filter frames from a video source for processing, perform face matches that populate a person index in ElasticSearch, and use the Amazon Rekognition celebrity match feature to optimize the process for faster time to market and more accurate results.
ARC402_Architectural Patterns and Best Practices with VMware Cloud on AWSAmazon Web Services
The recent launch of VMware Cloud on AWS gives customers new options for addressing several use cases, including cloud migration, hybrid deployments, and disaster recovery. We introduce and describe design patterns for incorporating VMware Cloud on AWS into existing architecture and detail how the service’s capabilities can influence future architectural plans. We explore design considerations and nuances for integrating VMware Cloud on AWS Software Defined Data Centers (SDDCs) with native AWS services, enabling you to use each platform’s benefits. Architects, system operators, and anyone looking to understand VMware Cloud on AWS will walk away with examples and options for solving challenging use cases with this new, exciting service.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
WIN301-Migrating Microsoft SQL Server Databases to AWS-Best Practices and Pat...Amazon Web Services
Migrating databases to the cloud is a critical part of organizations cloud journey and requires careful planning and architecture considerations including migration methods. This session will provide you with best practices and guidelines in migrating and/or architecting hybrid database architecture on AWS with focus on Microsoft SQL server databases. We will review current SQL on RDS, SQL on EC2 capabilities, compare and contrast various migration methods including SQL Export, Backup and Restore, and using AWS Database Migration Service (DMS). We will also look at how Expedia is migrating monolith SQL server databases to AWS using a hybrid approach leveraging SQL Server Distributed Availability Architecture. Expedia will share lessons learned during initial test and deployment phase followed by a demo of their existing architecture and deployment.
In this session, we introduce you to the best practices for migrating databases, such as traditional RDBMS or other NoSQL databases to Amazon DynamoDB. We discuss DynamoDB key concepts, evaluation criteria, data modeling in DynamoDB, how to move data into DynamoDB, and data migration key considerations. We share a case study of Samsung Electronics, which migrated their Cassandra cluster to DynamoDB for their Samsung Cloud workload.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
Do you have on-premises tape backups or expensive VTL hardware? Worried about moving cases of tapes off site? Not sure about the integrity of your data on tape? Learn how to use AWS services, including AWS Storage Gateway, to replace existing traditional approaches. Using Storage Gateway and standard backup software, you can back up to Amazon S3 and Amazon Glacier or tier snapshots to AWS. This enables both long-term data retention for compliance, and also recovery into Amazon EC2, locally, or to another site in case of a disaster. Southern Oregon University shares how they replaced tape backups with AWS, and the lessons learned in the process.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
This session provides an overview of IPv6 and covers key aspects of AWS support for the protocol. We discuss Amazon S3 and S3 Transfer Acceleration, Amazon CloudFront and AWS WAF, Amazon Route 53, AWS IoT, Elastic Load Balancing, and the virtual private cloud (VPC) environment of Amazon EC2. The presentation assumes solid knowledge of IPv4 and these AWS services.
DAT322_The Nanoservices Architecture That Powers BBC OnlineAmazon Web Services
The BBC’s website and apps are used around the world by an audience of millions who read, watch, and interact with a range of content. The BBC handles this scale with an innovative website platform, built on Amazon ElastiCache and Amazon EC2 and based on nanoservices. The BBC has over a thousand nanoservices, powering many of its biggest webpages. Explore its nanoservices platform and use of ElastiCache. Learn how Redis’s ultra-fast queues and pub/sub allow thousands of nanoservices to interact efficiently with low latency. Discover intelligent caching strategies to optimize rendering costs and ensure lightning fast performance. Together, ElastiCache and nanoservices can make real-time systems that can handle thousands of requests per second.
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn’t as clear as it was ten years ago. In this session, we discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option.
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
The AWS SDK for Java (Version 1.x) has been connecting JVM based applications to AWS services since 2010. However, the JVM eco-system has changed a lot in the last 7 years. Based on a lot of customer feedback, we recently launched a developer preview of Version 2.0 of the AWS SDK for Java, which has been completely re-written from the core HTTP layer to the service clients. In this session, we'll get under the covers of the code-base to see how we've been able to get over 100,000 TPS from a single client instance during initial testing. We'll also go over some of the many new features and highlight some of the major differences with 1.x including: pluggable HTTP, non-blocking I/O, enhanced pagination, immutability and more.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
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.
Navigating Microservice Architecture with AWS - AWS Public Sector Summit Sing...Amazon Web Services
Running and managing large-scale applications with microservice architecture is hard and often requires operating complex container management infrastructure. Amazon EC2 Container Service (Amazon ECS) is a highly scalable, high-performance container management service that supports Docker containers and makes it easy to run applications on a managed cluster of Amazon EC2 instances. In this session, we walk through a number of patterns used by our customers to run their microservice platforms. We dive deep into some of the challenges of running microservices – such as load balancing, service discovery, and secrets management – and see how Amazon ECS can help address them.
I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Server...Amazon Web Services
Nowadays, it’s common for a web server to be fronted by a global content delivery service, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. Website administrators and developers want to generate insights in order to improve website availability through bot detection and mitigation, by optimizing web content based on the devices and browser used, by reducing perceived latency by caching a popular object closer to its viewer, and so on. In this session, we dive deep into building an end-to-end serverless analytics solution to analyze Amazon CloudFront access logs, both at rest and in transit, using Amazon Athena and Amazon Kinesis Analytics, respectively, and we generate visualization insights using Amazon QuickSight. Join a discussion with AWS solution architects to learn more about the various ways to generate insights to improve the overall perceived experience for your website users.
by Martin Schade, Enterprise Solutions Architect, & Gareth Eagar, Solutions Architect, AWS
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 in this session to understand best practices for 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.
Dive deep into storage solutions for enterprise applications, debunk performance and availability perceptions, and learn about anti-patterns. Focusing on consulting and technology partner use cases, this session incorporates live demonstrations, including APN Competency Partner solutions. Attendees learn about reference architectures for enterprise storage solutions and how to incorporate components into new solutions for enterprise workloads.
MCL314_Unlocking Media Workflows Using Amazon RekognitionAmazon Web Services
Companies can have large amounts of image and video content in storage with little or no insight about what they have—effectively sitting on an untapped licensing and advertising goldmine. Learn how media companies are using Amazon Rekognition APIs for object or scene detection, facial analysis, facial recognition, or celebrity recognition to automatically generate metadata for images to provide new licensing and advertising revenue opportunities. Understand how to use Amazon Rekognition APIs to index faces into a collection at high scale, filter frames from a video source for processing, perform face matches that populate a person index in ElasticSearch, and use the Amazon Rekognition celebrity match feature to optimize the process for faster time to market and more accurate results.
ARC402_Architectural Patterns and Best Practices with VMware Cloud on AWSAmazon Web Services
The recent launch of VMware Cloud on AWS gives customers new options for addressing several use cases, including cloud migration, hybrid deployments, and disaster recovery. We introduce and describe design patterns for incorporating VMware Cloud on AWS into existing architecture and detail how the service’s capabilities can influence future architectural plans. We explore design considerations and nuances for integrating VMware Cloud on AWS Software Defined Data Centers (SDDCs) with native AWS services, enabling you to use each platform’s benefits. Architects, system operators, and anyone looking to understand VMware Cloud on AWS will walk away with examples and options for solving challenging use cases with this new, exciting service.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
WIN301-Migrating Microsoft SQL Server Databases to AWS-Best Practices and Pat...Amazon Web Services
Migrating databases to the cloud is a critical part of organizations cloud journey and requires careful planning and architecture considerations including migration methods. This session will provide you with best practices and guidelines in migrating and/or architecting hybrid database architecture on AWS with focus on Microsoft SQL server databases. We will review current SQL on RDS, SQL on EC2 capabilities, compare and contrast various migration methods including SQL Export, Backup and Restore, and using AWS Database Migration Service (DMS). We will also look at how Expedia is migrating monolith SQL server databases to AWS using a hybrid approach leveraging SQL Server Distributed Availability Architecture. Expedia will share lessons learned during initial test and deployment phase followed by a demo of their existing architecture and deployment.
In this session, we introduce you to the best practices for migrating databases, such as traditional RDBMS or other NoSQL databases to Amazon DynamoDB. We discuss DynamoDB key concepts, evaluation criteria, data modeling in DynamoDB, how to move data into DynamoDB, and data migration key considerations. We share a case study of Samsung Electronics, which migrated their Cassandra cluster to DynamoDB for their Samsung Cloud workload.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
Do you have on-premises tape backups or expensive VTL hardware? Worried about moving cases of tapes off site? Not sure about the integrity of your data on tape? Learn how to use AWS services, including AWS Storage Gateway, to replace existing traditional approaches. Using Storage Gateway and standard backup software, you can back up to Amazon S3 and Amazon Glacier or tier snapshots to AWS. This enables both long-term data retention for compliance, and also recovery into Amazon EC2, locally, or to another site in case of a disaster. Southern Oregon University shares how they replaced tape backups with AWS, and the lessons learned in the process.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
This session provides an overview of IPv6 and covers key aspects of AWS support for the protocol. We discuss Amazon S3 and S3 Transfer Acceleration, Amazon CloudFront and AWS WAF, Amazon Route 53, AWS IoT, Elastic Load Balancing, and the virtual private cloud (VPC) environment of Amazon EC2. The presentation assumes solid knowledge of IPv4 and these AWS services.
DAT322_The Nanoservices Architecture That Powers BBC OnlineAmazon Web Services
The BBC’s website and apps are used around the world by an audience of millions who read, watch, and interact with a range of content. The BBC handles this scale with an innovative website platform, built on Amazon ElastiCache and Amazon EC2 and based on nanoservices. The BBC has over a thousand nanoservices, powering many of its biggest webpages. Explore its nanoservices platform and use of ElastiCache. Learn how Redis’s ultra-fast queues and pub/sub allow thousands of nanoservices to interact efficiently with low latency. Discover intelligent caching strategies to optimize rendering costs and ensure lightning fast performance. Together, ElastiCache and nanoservices can make real-time systems that can handle thousands of requests per second.
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn’t as clear as it was ten years ago. In this session, we discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option.
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
The AWS SDK for Java (Version 1.x) has been connecting JVM based applications to AWS services since 2010. However, the JVM eco-system has changed a lot in the last 7 years. Based on a lot of customer feedback, we recently launched a developer preview of Version 2.0 of the AWS SDK for Java, which has been completely re-written from the core HTTP layer to the service clients. In this session, we'll get under the covers of the code-base to see how we've been able to get over 100,000 TPS from a single client instance during initial testing. We'll also go over some of the many new features and highlight some of the major differences with 1.x including: pluggable HTTP, non-blocking I/O, enhanced pagination, immutability and more.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
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.
Navigating Microservice Architecture with AWS - AWS Public Sector Summit Sing...Amazon Web Services
Running and managing large-scale applications with microservice architecture is hard and often requires operating complex container management infrastructure. Amazon EC2 Container Service (Amazon ECS) is a highly scalable, high-performance container management service that supports Docker containers and makes it easy to run applications on a managed cluster of Amazon EC2 instances. In this session, we walk through a number of patterns used by our customers to run their microservice platforms. We dive deep into some of the challenges of running microservices – such as load balancing, service discovery, and secrets management – and see how Amazon ECS can help address them.
I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Server...Amazon Web Services
Nowadays, it’s common for a web server to be fronted by a global content delivery service, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. Website administrators and developers want to generate insights in order to improve website availability through bot detection and mitigation, by optimizing web content based on the devices and browser used, by reducing perceived latency by caching a popular object closer to its viewer, and so on. In this session, we dive deep into building an end-to-end serverless analytics solution to analyze Amazon CloudFront access logs, both at rest and in transit, using Amazon Athena and Amazon Kinesis Analytics, respectively, and we generate visualization insights using Amazon QuickSight. Join a discussion with AWS solution architects to learn more about the various ways to generate insights to improve the overall perceived experience for your website users.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
Ready to secure your network and application in near real-time using Amazon VPC flow logs and AWS Web Application Firewall (WAF)? In this workshop, we incorporate advanced near real-time analytics and machine learning to fend off potential attackers and abusers through automated mitigation with your AWS WAF. Participants are expected to have laptops with access to an AWS account, and be familiar with basic ANSI SQL, basic Amazon VPC, basic AWS Lambda, and basic AWS WAF experience. Along the way, you dive into and learn about Amazon VPC Flow logs, AWS WAF, Amazon CloudWatch, Amazon Elasticsearch Service, Amazon Machine Learning (Amazon ML), Amazon Kinesis Firehose, Amazon Kinesis Analytics, and AWS Lambda.
Verizon: Modernizing Enterprise Infrastructure with AWS - WIN307 - re:Invent ...Amazon Web Services
Over the past decade, Verizon built significant investments in on-premises technology. Migrating legacy applications and IT systems takes time, so architecting a secure and performant hybrid architecture is essential to Verizon’s cloud adoption. In this session, you see how Verizon operationalized their existing on-premises IT infrastructure with AWS while providing the flexibility needed for both modern and legacy applications. Verizon solved extremely challenging enterprise constraints. Learn from Verizon’s cloud experience, and see the resulting architectures designed to meet strict security and compliance requirements while delivering faster application and system migration.
Building .NET-based Serverless Architectures and Running .NET Core Microservi...Amazon Web Services
In this session, we first look at common approaches to refactoring common legacy .NET applications to microservices and AWS serverless architectures. We also look at modern approaches to .NET-based architectures on AWS. We then elaborate on running .NET Core microservices in Docker containers natively on Linux in AWS while examining the use of AWS SDK and .NET Core platform. We also look at the use of the various AWS services such as Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon DynamoDB, which provide the backbone of the platform. For example, Experian Consumer Services runs a large ecommerce platform that is now cloud based in the AWS. We look at how they went from monolithic platform to microservices, primarily in .NET Core. With a heavy push to move to Java and open source, we look at the development process, which started in the beta days of .NET Core, and how the direction Microsoft was going allowed them to use existing C# skills while pushing themselves to innovate in AWS. The large, single team of Windows based developers was broken down into several small teams to allow for rapid development into an all Linux environment.
GPSBUS220-Refactor and Replatform .NET Apps to Use the Latest Microsoft SQL S...Amazon Web Services
Developers and architects migrating Microsoft enterprise applications to AWS can leverage new tools and services to implement DevOps best practices identified and developed by AWS solution architects and service teams. Learn about architectural best practices and AWS services such as AWS CodeBuild and AWS CodeDeploy, focusing on the .NET environment. Get examples of using the latest SQL Server release on Amazon EC2 or Amazon RDS, or on other database offerings native to AWS, like Amazon Aurora or serverless environments. Hear how an APN Partner took a global retail customer’s ecommerce engine and SQL Server–based data platform from on premises to the AWS Cloud in just weeks.
GPSWKS406-Migrating a Microsoft ASP.NET Application to AWSAmazon Web Services
In this workshop, we explore the AWS methodology for migrating Microsoft applications to AWS. We walk through the concerns and considerations to take into account while planning a migration. Learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session uses a case study format to dive deep into the details of how to successfully plan a Microsoft application migration.
Running solutions in Amazon Web Services can help you get your applications up and running faster. By harnessing the power of the Amazon Web Services platform services you no longer have to focus on the underlying infrastructure, but instead you can focus on your application and business logic. This session will enable you to learn about the rich array of Amazon Web Services platform services available, find out how other customers are leveraging platform services and identify which services are relevant to your business. This session also includes a demonstration of Amazon Web Services for compute, database and deployment which you can use to accelerate your cloud adoption journey.
Mark Statham, Senior Cloud Architect - Professional Services, Amazon Web Services, ASEAN
GPSTEC313_GPS Real-Time Data Processing with AWS Lambda Quickly, at Scale, an...Amazon Web Services
Real-time data processing is a powerful technique that allows businesses to make agile automated decisions. This process is particularly powerful when applied to workloads like security, analyzing access logs, parsing audit logs, and monitoring API activity to detect behavior anomalies. Combined with automation, business can quickly take action to remediate security concerns, or even train a machine learning (ML) model. We explore different techniques for analyzing real-time streams on AWS using Lambda, Amazon Kinesis, Spark with Amazon EMR, and Amazon DynamoDB. We also cover best practices around short- and long-term storage and analysis of data and, briefly, the possibility of leveraging ML.
HLC302_Adopting Microservices in Healthcare Building a Compliant DevOps Pipel...Amazon Web Services
Healthcare organizations are rapidly adopting container technology to drive innovation. In this session, join Horizon Blue Cross Blue Shield of New Jersey and ClearDATA to learn about how to integrate Amazon ECS into your deployment pipeline while maintaining compliance for healthcare workloads, how to harden container environments for sensitive workloads, and how to leverage AWS tooling and microservices to provide new views and analysis for data stored in on-premises data centers.
AWS FSI Symposium 2017 NYC - Moving at the Speed of Serverless ft BroadridgeAmazon Web Services
AWS’ suite of serverless technology has enabled enterprises in Financial Services to move quickly from conception to reality. By leveraging AWS, you can run code without provisioning or managing servers—and you only pay for what you use. In this session, we will walk through how we worked with Broadridge to take their Experience Manager application from design to deployment and provide details around how numerous AWS services were leveraged, including Cognito, Lambda, S3, DynamoDB, and SES. We will also dive into how the use of serverless technology can enable developers to move quickly, while improving security postures, minimizing management, and simplifying operations.
After IAM and Detective Controls you’ll turn to Infrastructure Security, which means tuning AWS Service configurations, AMI composition, and hardening other digital assets that will be deployed. We will cover how to define networking architecture (e.g. VPC, subnets, security groups); how to develop hardened AMIs based on your requirements; the importance of defining Internet ingress and egress flows, and how to determine Vulnerability Management and operational maintenance cadence.
Did you know 52% of today’s organizations are planning to leverage a hybrid-cloud approach? With eight years’ experience running Windows workloads in the cloud, AWS provides the perfect platform to modernize your Microsoft applications.
This webinar will demonstrate how AWS ensures customization, high availability and scalability for most of your Microsoft applications on a hybrid-cloud model and learn how to reduce cost. We will also offer you an understanding of how these workloads are licensed and monitored, and share best practice reference architectures.
Key Outcomes:
• How to get the most out of your Microsoft Applications
• How do you start Migrating Applications to AWS?
• Hybrid cloud deployments using AWS
• Licensing Considerations
Session is suitable for
• Technical Decision Makers
• Senior IT Managers and Specialist
• DBA’s
• Solution Architects and Engineers
Understand the performance of customer facing applications with AWS Marketpla...Amazon Web Services
Come learn how NASDAQ used AWS Marketplace to purchase and launch AppDynamics unified Application Performance Management (APM) and business performance monitoring solution for their migration to AWS. With AppDynamics, NASDAQ was able to move their critical applications to AWS and used AppDynamics to accelerate, visualize and validate the migration process. This allowed NASDAQ to improve their applications in AWS with business performance monitoring and make clear, understandable correlations between the quality of their customer experience with their applications.
by Martin Schade, Solutions Architect & Ramesh Dwarakanath, Solutions Architect, AWS
Cloud is the new normal, and organizations are deploying different types workloads on AWS. Understanding the performance efficiency and overall application performance is critical to ensuring that you can scale your workload to meet the demands of your customers. Understanding how well your application performs over time helps you to continuously improve and innovate your software to get the most out of the AWS platform. If you aren't measuring custom application metrics, you are operating your software blindly and cannot pinpoint areas of improvement. Learn how to use Amazon CloudWatch custom metrics, alerts, dashboards and AWS X-Ray to architect an application monitoring service to provide insight to your workload's performance.
Customers who run SAP on AWS have lowered costs, improved performance, resilience, security, and agility. Application modernization can start with SAP at the core – but it can also start with machine learning, internet of things, big data and analytics. In this session, AWS is presenting and demonstrating use cases for modernizing IT systems that incorporates SAP. Customer Larsen & Toubro Infotech (LTI) shares their innovation agenda and journey to the cloud with AWS.
Harpreet Singh, SAP Solution Architect, Amazon Web Services
End-User Computing on AWS with Amazon WorkSpaces and Amazon AppStream 2.0 - E...Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure their users can be productive from anywhere. Moving desktops and applications to AWS offers improved security, scale, and performance, with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and talk through best practices for moving your end-user computing to AWS. We also dive deep into Amazon AppStream 2.0, and demonstrate some of the newest capabilities, including Microsoft Active Directory integration, single sign-on with SAML 2.0, and new graphics instances.
Similar to Dive deep into technical enhancements - re:Invent Come to London 2.0 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
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.
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10. CORE SERVICES
Integrated Networking
Rules Engine
Device Shadows
Device SDKs
Device Gateway
Registry
Local Compute
Custom Model
Training & Hosting
Conversational Chatbots
Virtual Desktops
App Streaming
Schema Conversion
Image & Scene
Recognition
Sharing &
Collaboration
Exabyte-Scale
Data Migration
Text to Speech
Corporate Email Application Migration
Database Migration
Regions
Availability Zones
Points of Presence
Data Warehousing
Business Intelligence
Elasticsearch
Hadoop/Spark
Data Pipelines
Streaming Data
Collection
ETL
Streaming Data
Analysis
Interactive SQL
Queries
Queuing & Notifications
Workflow
Email
Transcoding
Deep Learning
(Apache MXNet,
TensorFlow, & others)
Server MigrationCommunications
MARKETPLACE
Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases
API Gateway
Single Integrated
Console
Identity
Sync
Mobile Analytics
Mobile App Testing
Targeted Push
Notifications
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build & Test
Analyze & Debug
Identity
Management
Key Management
& Storage
Monitoring &
Logs
Configuration
Compliance
Web Application
Firewall
Assessment
& Reporting
Resource & Usage
Auditing
Access Control
Account
Grouping
DDOS
Protection
TECHNICAL & BUSINESS SUPPORT
Support
Professional
Services
Optimization
Guidance
Partner
Ecosystem
Training &
Certification
Solutions Management Account Management Security & Billing
Reports
Personalized
Dashboard
Monitoring
Manage
Resources
Data Integration
Integrated Identity &
Access
Integrated Resource &
Deployment Management
Integrated Devices
& Edge Systems
Resource
Templates
Configuration
Tracking
Server
Management
Service
Catalogue
Search
MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS
APP SERVICES
INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS
Compute
VMs, Auto-scaling, Load
Balancing, Containers,
Virtual Private Servers,
Batch Computing, Cloud
Functions, Elastic GPUs,
Edge Computing
Storage
Object, Blocks, File, Archivals,
Import/Export, Exabyte-scale
data transfer
CDN
Databases
Relational, NoSQL,
Caching, Migration,
PostgreSQL compatible
Networking
VPC, DX, DNS
Facial Recognition &
Analysis
Facial Search
Patching
Contact Center
MOST ROBUST, FULLY FEATURED TECHNOLOGY
INFRASTRUCTURE PLATFORM
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New capabilities daily
P A C E O F I N N O V A T I O N