In this session, learn about the latest features in our cost management tooling. The presentation is given by the Cost Insights service team and supported by cost optimization experts from across our business.
Engage Users in Real-Time through Event-Based Messaging (MOB322-R1) - AWS re:...Amazon Web Services
In this session, we describe when and how to engage users in real time, based on external events and user behaviors, to drive contextual and relevant user interactions. The intended audience is developers who support marketing activities using AWS services. We cover Amazon Pinpoint and Amazon Kinesis in this session.
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...Amazon Web Services
Metrics are fundamental to succeeding with SaaS. As you pour tenants into a shared infrastructure environment, you need to rely on a rich collection of data that can drive insights into the architectural, operational, and business dimensions of your SaaS solution. In this session, learn to identify the different types of metrics commonly collected by SaaS providers and connect these with the design and architecture strategies that are employed to surface and analyze this data on AWS. We look at how SaaS organizations instrument, aggregate, publish and build actionable views of this data with specific emphasis on how a robust metrics architecture can fundamentally impact the operational, architectural, and business decision-making process for SaaS organizations.
Build a High-Performance, Cloud-Native, Open-Source Platform on AWS & Save Mi...Amazon Web Services
As a leader in agriculture technologies and services, Bayer is using technologies such as unmanned aerial vehicles (UAV), satellite imagery, and sensor data from multiple sources to generate real time insights. Over 300 data sources are ingested into their open source HPC geospatial platform to generate on average 100M API calls per day. The platform is used to provide real-time visualization and computational analysis to Bayer’s internal research community, partners, and is licensed to third-party applications to provide insights relevant to high-yield production of crops. In this session, Mendez-Costabel discusses how Bayer transitioned from on-premises packaged software architecture to open-source software and cloud services from AWS to build a modern, scalable, high-performance, open-source app on AWS. Learn about the open-source application architecture and AWS services used. Learn how the computing environment has changed the way that Bayer is performing R&D projects, and how the move to a modern architecture has enabled Bayer’s customers to gain insights that are transforming their businesses.
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.
Enabling a Digital Platform with Microservices Architecture (ARC218-S) - AWS ...Amazon Web Services
Bajaj Finserv Direct Limited (BFDL) serves millions of customers with its comprehensive portfolio and innovative offerings in financing, general insurance, life and health insurance and retirement and savings. BFDL envisioned building a cloud-native digital platform to offer an unmatched experience to its customers. In this session, hear from BDFL how they built a robust digital backbone on AWS with a scalable microservices architecture deployed using Docker containers. The session also focuses on how a scalable microservices-based architecture can be developed using various AWS services. This session is brought to you by AWS partner, Cognizant Technology Solutions US Corp.
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Amazon Web Services
In this session, you have the opportunity to learn the fundamental building blocks of a data lake on AWS. You design and build a serverless pipeline to ingest, process, optimize and query data in your very own data lake. We discuss different optimizations and best practices to tune your architecture for future growth.
Move Data to AWS Faster for Migrations, DR, & Bidirectional Workflows (STG382...Amazon Web Services
There are a myriad of ways to get your file-based data into Amazon S3 and Amazon EFS, from the simple AWS command line tools and similar script-based approaches to proprietary commercial tools built for media workflows. Attend this session to learn about an architecture and associated tips and tricks that enable you to improve data transfer performance—scaling out with parallel streams—without the manual labor of extensive scripting or the cost of third-party licensed software.
Migrating Single-Tenant Applications to Multi-Tenant SaaS (ARC326-R1) - AWS r...Amazon Web Services
The appeal of SaaS has many ISVs interested in the power and value of delivering their solutions in a SaaS model. However, moving a single-tenant application to a multi-tenant environment can be daunting. In this session, we'll look at the obstacles that many ISVs face as they consider the move to a SaaS delivery model. We'll explore a wide range of transformation patterns that cover everything from lift-and-shift of your monolith to an incremental cutover to multi-tenant aware microservices, data, and infrastructure. Along the way, we'll highlight the challenges and technical considerations that shape your solution and allow you to better align your transformed solution with SaaS best practices. This includes looking at all the new architectural elements you'll need to add to your environment to support SaaS (onboarding, identity, billing, metering, analytics, and so on).
Engage Users in Real-Time through Event-Based Messaging (MOB322-R1) - AWS re:...Amazon Web Services
In this session, we describe when and how to engage users in real time, based on external events and user behaviors, to drive contextual and relevant user interactions. The intended audience is developers who support marketing activities using AWS services. We cover Amazon Pinpoint and Amazon Kinesis in this session.
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...Amazon Web Services
Metrics are fundamental to succeeding with SaaS. As you pour tenants into a shared infrastructure environment, you need to rely on a rich collection of data that can drive insights into the architectural, operational, and business dimensions of your SaaS solution. In this session, learn to identify the different types of metrics commonly collected by SaaS providers and connect these with the design and architecture strategies that are employed to surface and analyze this data on AWS. We look at how SaaS organizations instrument, aggregate, publish and build actionable views of this data with specific emphasis on how a robust metrics architecture can fundamentally impact the operational, architectural, and business decision-making process for SaaS organizations.
Build a High-Performance, Cloud-Native, Open-Source Platform on AWS & Save Mi...Amazon Web Services
As a leader in agriculture technologies and services, Bayer is using technologies such as unmanned aerial vehicles (UAV), satellite imagery, and sensor data from multiple sources to generate real time insights. Over 300 data sources are ingested into their open source HPC geospatial platform to generate on average 100M API calls per day. The platform is used to provide real-time visualization and computational analysis to Bayer’s internal research community, partners, and is licensed to third-party applications to provide insights relevant to high-yield production of crops. In this session, Mendez-Costabel discusses how Bayer transitioned from on-premises packaged software architecture to open-source software and cloud services from AWS to build a modern, scalable, high-performance, open-source app on AWS. Learn about the open-source application architecture and AWS services used. Learn how the computing environment has changed the way that Bayer is performing R&D projects, and how the move to a modern architecture has enabled Bayer’s customers to gain insights that are transforming their businesses.
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.
Enabling a Digital Platform with Microservices Architecture (ARC218-S) - AWS ...Amazon Web Services
Bajaj Finserv Direct Limited (BFDL) serves millions of customers with its comprehensive portfolio and innovative offerings in financing, general insurance, life and health insurance and retirement and savings. BFDL envisioned building a cloud-native digital platform to offer an unmatched experience to its customers. In this session, hear from BDFL how they built a robust digital backbone on AWS with a scalable microservices architecture deployed using Docker containers. The session also focuses on how a scalable microservices-based architecture can be developed using various AWS services. This session is brought to you by AWS partner, Cognizant Technology Solutions US Corp.
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Amazon Web Services
In this session, you have the opportunity to learn the fundamental building blocks of a data lake on AWS. You design and build a serverless pipeline to ingest, process, optimize and query data in your very own data lake. We discuss different optimizations and best practices to tune your architecture for future growth.
Move Data to AWS Faster for Migrations, DR, & Bidirectional Workflows (STG382...Amazon Web Services
There are a myriad of ways to get your file-based data into Amazon S3 and Amazon EFS, from the simple AWS command line tools and similar script-based approaches to proprietary commercial tools built for media workflows. Attend this session to learn about an architecture and associated tips and tricks that enable you to improve data transfer performance—scaling out with parallel streams—without the manual labor of extensive scripting or the cost of third-party licensed software.
Migrating Single-Tenant Applications to Multi-Tenant SaaS (ARC326-R1) - AWS r...Amazon Web Services
The appeal of SaaS has many ISVs interested in the power and value of delivering their solutions in a SaaS model. However, moving a single-tenant application to a multi-tenant environment can be daunting. In this session, we'll look at the obstacles that many ISVs face as they consider the move to a SaaS delivery model. We'll explore a wide range of transformation patterns that cover everything from lift-and-shift of your monolith to an incremental cutover to multi-tenant aware microservices, data, and infrastructure. Along the way, we'll highlight the challenges and technical considerations that shape your solution and allow you to better align your transformed solution with SaaS best practices. This includes looking at all the new architectural elements you'll need to add to your environment to support SaaS (onboarding, identity, billing, metering, analytics, and so on).
Which Database is Right for Your Serverless Application (ARC215) - AWS re:Inv...Amazon Web Services
Choosing the right persistence layer for your serverless application is important. In this session, we walk you through the available choices for serverless databases and compare their pros and cons. Expect to walk away with a simple flowchart that can help you decide on the right database for your serverless applications.
Building Your Geospatial Data Lake (WPS324) - AWS re:Invent 2018Amazon Web Services
In this chalk talk, we discuss how to design a data lake, and how to permission different groups and applications to access and analyze datasets. Learn from subject-matter experts about a variety of AWS technologies for populating your data lake, monitoring new ingestion, and processing data for meaningful analysis. We examine considerations for structured data, such as relevant database engines with geospatial support, as well as considerations for unstructured data in the form of object storage. In addition, we address how to protect and secure data based on an organization’s needs.
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
Over the course of hundreds of mass migrations with our enterprise customers, we've seen migrations of one or more data centers into AWS, and the common theme is that tools are crucial for reliable and fast discovery and migration. In this workshop, you get hands on experience using AWS migration tools like AWS Migration Hub and Application Discovery Service to supercharge planning and execution of your migration and move more servers and databases in less time. Learn how to discover existing servers, analyze server dependencies, group your resources into applications, and automate migrations using AWS and partner migration tools.
High Performance Data Streaming with Amazon Kinesis: Best Practices (ANT322-R...Amazon Web Services
The document discusses best practices for high performance data streaming using Amazon Kinesis. It covers introducing Amazon Kinesis and its capabilities, different consumer types (standard vs enhanced fan-out), considerations for scaling a Kinesis data stream, and Comcast's streaming data platform called Headwaters. The key points are how to address producer limits, consumer limits, shard management, consumption speed, and maximum acceptable latency.
What's New with Amazon Redshift ft. McDonald's (ANT350-R1) - AWS re:Invent 2018Amazon Web Services
Learn about the latest and hottest features of Amazon Redshift. We’ll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we’ve made can significantly enhance your user experience. We’ll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights.
Get the Most out of Your Elastic Load Balancer for Different Workloads (NET31...Amazon Web Services
Bring your tricky questions and interesting use cases to this session, where we cover topics such as choosing the right load balancer, architectural best practices, load balancing principles, analyzing your application with Amazon CloudWatch metrics, and ELB access logs.
Eliminate Migration Confusion: Speed Migration with Automated Tracking (ENT31...Amazon Web Services
The document discusses automating the migration of applications and infrastructure from on-premises to AWS. It covers the benefits of automating discovery, migration, and tracking migrations. Examples of automation architectures are presented, including using AWS services like Application Discovery Service, AWS Migration Hub, and Lambda. The overall goal is to speed up migrations through repeatable, traceable automation.
One Data Lake, Many Uses: Enable Multi-Tenant Analytics with Amazon EMR (ANT3...Amazon Web Services
One of the benefits of having a data lake is that the same data can be consumed by multi-tenant groups—an efficient way to share a persistent Amazon EMR cluster. The same business data can be safely used for many different analytics and data processing needs. In this builders session, we discuss steps to make an Amazon EMR cluster multi-tenant for analytics, best practices for a multi-tenant cluster, and solving common challenges. We also address security and governance aspects of a multi-tenant Amazon EMR cluster.
Managing Modern Infrastructure in Enterprises (ENT227-R1) - AWS re:Invent 2018Amazon Web Services
In this session, Verizon shares how it uses AWS Systems Manager for inventory, compliance, and patch management solutions. Learn about the challenges that large enterprises face when they attempt to retrofit legacy solutions for cloud environments, and discover best practices for using AWS Systems Manager for minimal access policies, custom Amazon Machine Images, tagging policies, encryption, and more.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
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.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
GraphQL is a popular technology among developers right now. GraphQL is the mechanism by which mobile and web apps can communicate with AWS AppSync to easily query and mutate data using as small a request as possible, enabling battery- and bandwidth-efficient communication. In this talk, we go through the basics of GraphQL and answer your questions about it.
Resolving NLP Problems Using Amazon SageMaker Algorithms (GPSCT305) - AWS re:...Amazon Web Services
Natural language or text is regularly voted as the most important data type after structured data. This is because text can carry an enormous amount of hidden insight. In this session, we show you how to get started with the natural language processing (NLP) techniques using Amazon SageMaker, a platform to easily build, train, and deploy models at scale. We review all of the NLP-related algorithms available on Amazon SageMaker, including Amazon algorithms (Latent Dirichlet Allocation (LDA), Neural Topic Model (NTM), and Sequence2Sequence (seq2seq), and BlazingText). We dive into the details, and we run through an example Jupyter Notebook that uses these algorithms.
Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...Amazon Web Services
Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.
The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...Amazon Web Services
In this session, we share the top 10 lessons learned from migrating the online transaction processing (OLTP) and data warehouse (DW) databases used by Amazon.com to AWS services, such as Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. We discuss the challenges associated with operating and managing legacy OLTP and DW databases at Amazon.com scale and how the Amazon.com team successfully executed the database freedom program across different organizations and geographies.
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
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
Overview of Redis with Search and Graph (DAT334) - AWS re:Invent 2018Amazon Web Services
AWS offers a broad range of purpose-built services, such as databases, analytics, search, and visualization. Attend this session to learn how you can integrate the fully-managed Redis service offered by AWS, which includes search and graph services to build modern applications.
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Amazon Web Services
The document discusses Amazon EC2 high memory instances certified for running SAP HANA in-memory database workloads. It introduces new EC2 bare metal instance types with up to 12TB of memory and describes how they provide a simple, flexible way to elastically scale SAP HANA deployments in the AWS cloud. Case studies are presented showing how Whirlpool Corporation has used high memory instances to gain agility and speed for their SAP environments.
Manage, Control, and Optimize Your AWS Costs with Native AWS Products (ENT305...Amazon Web Services
Learn how to use AWS Cost Management tools, such as Cost Explorer, Cost and Usage Report, and AWS Budgets to understand and analyze your AWS costs and usage as well as manag your Reserved Instances (RIs). Using these products, you can access detailed cost and usage information, analyze your underlying cost drivers and usage trends, monitor your Reserved Instance utilization and coverage, and receive detailed Reserved Instance purchase recommendations for EC2, RDS, Elasticache, Redshift, and Elasticsearch reservations. You will also learn how you can use the Cost Explorer and Budgets API to programmatically manage your costs.
AWS Cloud Experience CA: Cómo reducir sus costos en AWS (broad cost strategy)Amazon Web Services LATAM
The document discusses optimizing costs when scaling on AWS. It begins by introducing the five pillars of cost optimization: right-sizing instances, choosing the right pricing model, increasing elasticity, measuring and monitoring usage, and matching usage to storage classes. It then covers establishing an account strategy using AWS Organizations, setting up a tagging strategy for visibility and chargebacks, and setting up cost reports in AWS Cost Explorer. The document recommends leveraging partners to accelerate optimization efforts and provides next steps to take, including enabling cost explorer and using cost management partners.
Which Database is Right for Your Serverless Application (ARC215) - AWS re:Inv...Amazon Web Services
Choosing the right persistence layer for your serverless application is important. In this session, we walk you through the available choices for serverless databases and compare their pros and cons. Expect to walk away with a simple flowchart that can help you decide on the right database for your serverless applications.
Building Your Geospatial Data Lake (WPS324) - AWS re:Invent 2018Amazon Web Services
In this chalk talk, we discuss how to design a data lake, and how to permission different groups and applications to access and analyze datasets. Learn from subject-matter experts about a variety of AWS technologies for populating your data lake, monitoring new ingestion, and processing data for meaningful analysis. We examine considerations for structured data, such as relevant database engines with geospatial support, as well as considerations for unstructured data in the form of object storage. In addition, we address how to protect and secure data based on an organization’s needs.
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
Over the course of hundreds of mass migrations with our enterprise customers, we've seen migrations of one or more data centers into AWS, and the common theme is that tools are crucial for reliable and fast discovery and migration. In this workshop, you get hands on experience using AWS migration tools like AWS Migration Hub and Application Discovery Service to supercharge planning and execution of your migration and move more servers and databases in less time. Learn how to discover existing servers, analyze server dependencies, group your resources into applications, and automate migrations using AWS and partner migration tools.
High Performance Data Streaming with Amazon Kinesis: Best Practices (ANT322-R...Amazon Web Services
The document discusses best practices for high performance data streaming using Amazon Kinesis. It covers introducing Amazon Kinesis and its capabilities, different consumer types (standard vs enhanced fan-out), considerations for scaling a Kinesis data stream, and Comcast's streaming data platform called Headwaters. The key points are how to address producer limits, consumer limits, shard management, consumption speed, and maximum acceptable latency.
What's New with Amazon Redshift ft. McDonald's (ANT350-R1) - AWS re:Invent 2018Amazon Web Services
Learn about the latest and hottest features of Amazon Redshift. We’ll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we’ve made can significantly enhance your user experience. We’ll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights.
Get the Most out of Your Elastic Load Balancer for Different Workloads (NET31...Amazon Web Services
Bring your tricky questions and interesting use cases to this session, where we cover topics such as choosing the right load balancer, architectural best practices, load balancing principles, analyzing your application with Amazon CloudWatch metrics, and ELB access logs.
Eliminate Migration Confusion: Speed Migration with Automated Tracking (ENT31...Amazon Web Services
The document discusses automating the migration of applications and infrastructure from on-premises to AWS. It covers the benefits of automating discovery, migration, and tracking migrations. Examples of automation architectures are presented, including using AWS services like Application Discovery Service, AWS Migration Hub, and Lambda. The overall goal is to speed up migrations through repeatable, traceable automation.
One Data Lake, Many Uses: Enable Multi-Tenant Analytics with Amazon EMR (ANT3...Amazon Web Services
One of the benefits of having a data lake is that the same data can be consumed by multi-tenant groups—an efficient way to share a persistent Amazon EMR cluster. The same business data can be safely used for many different analytics and data processing needs. In this builders session, we discuss steps to make an Amazon EMR cluster multi-tenant for analytics, best practices for a multi-tenant cluster, and solving common challenges. We also address security and governance aspects of a multi-tenant Amazon EMR cluster.
Managing Modern Infrastructure in Enterprises (ENT227-R1) - AWS re:Invent 2018Amazon Web Services
In this session, Verizon shares how it uses AWS Systems Manager for inventory, compliance, and patch management solutions. Learn about the challenges that large enterprises face when they attempt to retrofit legacy solutions for cloud environments, and discover best practices for using AWS Systems Manager for minimal access policies, custom Amazon Machine Images, tagging policies, encryption, and more.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
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.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
GraphQL is a popular technology among developers right now. GraphQL is the mechanism by which mobile and web apps can communicate with AWS AppSync to easily query and mutate data using as small a request as possible, enabling battery- and bandwidth-efficient communication. In this talk, we go through the basics of GraphQL and answer your questions about it.
Resolving NLP Problems Using Amazon SageMaker Algorithms (GPSCT305) - AWS re:...Amazon Web Services
Natural language or text is regularly voted as the most important data type after structured data. This is because text can carry an enormous amount of hidden insight. In this session, we show you how to get started with the natural language processing (NLP) techniques using Amazon SageMaker, a platform to easily build, train, and deploy models at scale. We review all of the NLP-related algorithms available on Amazon SageMaker, including Amazon algorithms (Latent Dirichlet Allocation (LDA), Neural Topic Model (NTM), and Sequence2Sequence (seq2seq), and BlazingText). We dive into the details, and we run through an example Jupyter Notebook that uses these algorithms.
Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...Amazon Web Services
Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.
The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AW...Amazon Web Services
In this session, we share the top 10 lessons learned from migrating the online transaction processing (OLTP) and data warehouse (DW) databases used by Amazon.com to AWS services, such as Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, and Amazon DynamoDB. We discuss the challenges associated with operating and managing legacy OLTP and DW databases at Amazon.com scale and how the Amazon.com team successfully executed the database freedom program across different organizations and geographies.
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
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
Overview of Redis with Search and Graph (DAT334) - AWS re:Invent 2018Amazon Web Services
AWS offers a broad range of purpose-built services, such as databases, analytics, search, and visualization. Attend this session to learn how you can integrate the fully-managed Redis service offered by AWS, which includes search and graph services to build modern applications.
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Amazon Web Services
The document discusses Amazon EC2 high memory instances certified for running SAP HANA in-memory database workloads. It introduces new EC2 bare metal instance types with up to 12TB of memory and describes how they provide a simple, flexible way to elastically scale SAP HANA deployments in the AWS cloud. Case studies are presented showing how Whirlpool Corporation has used high memory instances to gain agility and speed for their SAP environments.
Manage, Control, and Optimize Your AWS Costs with Native AWS Products (ENT305...Amazon Web Services
Learn how to use AWS Cost Management tools, such as Cost Explorer, Cost and Usage Report, and AWS Budgets to understand and analyze your AWS costs and usage as well as manag your Reserved Instances (RIs). Using these products, you can access detailed cost and usage information, analyze your underlying cost drivers and usage trends, monitor your Reserved Instance utilization and coverage, and receive detailed Reserved Instance purchase recommendations for EC2, RDS, Elasticache, Redshift, and Elasticsearch reservations. You will also learn how you can use the Cost Explorer and Budgets API to programmatically manage your costs.
AWS Cloud Experience CA: Cómo reducir sus costos en AWS (broad cost strategy)Amazon Web Services LATAM
The document discusses optimizing costs when scaling on AWS. It begins by introducing the five pillars of cost optimization: right-sizing instances, choosing the right pricing model, increasing elasticity, measuring and monitoring usage, and matching usage to storage classes. It then covers establishing an account strategy using AWS Organizations, setting up a tagging strategy for visibility and chargebacks, and setting up cost reports in AWS Cost Explorer. The document recommends leveraging partners to accelerate optimization efforts and provides next steps to take, including enabling cost explorer and using cost management partners.
Optimizing Costs as You Scale on AWS (ENT302) - AWS re:Invent 2018Amazon Web Services
The cloud offers a first-in-a-career opportunity to constantly optimize your costs as you grow and stay on the leading edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. In this session, we share The Vanguard Group’s real-world experience of optimizing their costs, and we review a wide range of cost planning, monitoring, and optimization strategies.
AWS Cost Management Workshop at the San Francisco Loft
AWS offers a number of products that allow you to access, organize, understand, optimize, and control your AWS costs and usage. This workshop will help you get started using AWS Cost Explorer to visualize your usage patterns and identify your underlying cost drivers. From there, you can take action on your insights by learning how to set custom cost and usage budgets and receive alerts via email or Amazon SNS topic using AWS Budgets.
Česko-Slovenský AWS Webinář 07 - Optimalizace nákladů v AWSVladimir Simek
Široká škála služeb a cenových možností, které AWS nabízí, umožnuje flexibilitu efektivního řízení nákladů a udržení výkonu a kapacity, kterou vaše podnikání vyžaduje. Díky AWS cloudu můžete snadno spravovat své zdroje, využívat rezervované instance a používat výkonné nástroje pro správu nákladů, abyste mohli sledovat své náklady.
The document provides guidance on optimizing costs when scaling applications on AWS. It discusses establishing a cloud financial management framework with pillars around cost optimization, measurement and accountability, and planning and forecasting. Specific recommendations are given around setting up AWS accounts and tagging strategies for visibility, using AWS Cost Explorer for reporting, and leveraging partners for cost management. Tips are also provided like deleting unused resources, right-sizing instances, and using reserved instances and spot instances to reduce costs as usage scales on AWS.
Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Speakers:
Lex Crosett - Solutions Architect, AWS
David Simcik - Solutions Architect, AWS
by Jon Handler, Principal Solutions Architect and Sanjay Dhar, Solutions Architect, AWS
Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Best Practices for Centrally Monitoring Resource Configuration & Compliance (...Amazon Web Services
Do you want to have a strong understanding of governance across all of your AWS accounts? Are you struggling to get centralized visibility across your entire organization? Join us in this session as we explore AWS Config, a service that enables centralized governance and resource monitoring. Learn best practices for enabling governance policies through a central account across multiple accounts in your organization, and monitor their compliance status using the multi-account, multi-region data aggregation capability. Also learn about recent launches and how customers are using AWS Config in their enterprises today.
The document discusses various ways that AWS customers can reduce spending on AWS services. It outlines technical pillars for cost optimization like right sizing instances, increasing elasticity with auto scaling and spot instances, using reserved instances, and designing architectures for efficiency. It also discusses tools that AWS provides for cost management and optimization. Finally, it recommends getting support from AWS account managers, professional services, or partners to help guide customers' cost optimization journey.
Automated Monitoring of Best Practices and Operational Health of Your AWS Res...Amazon Web Services
The document discusses how AWS Trusted Advisor and AWS Health tools can be used to automate monitoring and remediation of best practices, operational health, events and scheduled changes for AWS resources. It provides examples of how these tools can integrate with AWS services like Lambda, Step Functions, CloudWatch and CloudFormation to stop unused instances, respond to security checks, and handle service disruptions or volume losses. The speakers provide contact information for additional questions.
In order to ensure security best practices in your AWS accounts, you must establish a security baseline and then enforce it across all of these accounts. In this session, you will learn how to use AWS CloudFormation and AWS Organizations to execute security best practices (AWS CloudTrail, AWS Config, Flow Logs, S3 Access logs, etc...) in scenarios where you are managing many AWS accounts across an organization. You will see how to leverage Service Catalog across multiple accounts. Learn how to store all of these logs in a centralized logging system such as Amazon ElasticSearch Service, set up alerts, and drift detection on anomalous or high-risk activity.
AWS Webinar Series - Cost Optimisation Levers, Tools, and StrategiesAmazon Web Services
The document discusses strategies for optimizing costs when using AWS. It covers establishing cost visibility using tools like AWS Cost Explorer. It also discusses technical optimization levers like right-sizing resources, using reserved instances, increasing infrastructure elasticity, matching storage classes to needs, and designing architectures for lower costs. The presentation provides examples and recommendations for how to apply these optimization strategies on AWS.
Adding elasticity to our applications in AWS
Introduction to AWS load balancer services
Introduction to autoscaling groups and launch configurations
Demo - Add autoscaling to our demo application
Next steps: Taking it to the next stage – Sara?
Serverless architecture with Lambda, API Gateway, DynamoDB & more
Wrap up - User Groups, Blogs & further training
This document discusses AWS tools for elasticity and management including Elastic Load Balancing, Auto Scaling, and CloudWatch. It describes how Elastic Load Balancing distributes traffic across EC2 instances and supports health checks. It explains how Auto Scaling automatically scales EC2 capacity based on demand or metrics and uses launch configurations and Auto Scaling groups. It also describes how CloudWatch monitors AWS resources and applications and sets alarms.
Enabling Governance, Compliance, Operational, and Risk Auditing with AWS Mana...Amazon Web Services
In this session, you’ll learn how to enable governance compliance and undertake operational and risk auditing of your AWS account through a combination of continuous monitoring auditing and evaluation of your AWS resources. With AWS management tools you can see a history of AWS API calls for your account, review changes in configurations and relationships among AWS resources, and dive into detailed resource configuration histories. You can determine your overall compliance with the configurations specified in your internal guidelines and you can give developers and systems administrators a secure and compliant means to create and manage AWS resources.
Automated Monitoring of Operational Health in the Cloud - Mathew Green - AWS ...Amazon Web Services
It can be challenging to optimise AWS resources across cost, performance, security, and fault-tolerance, much less do it automatically. Attendees will learn how to implement automation of AWS best practice recommendations from AWS Trusted Advisor, and remediation from the AWS Health API on AWS resources.
Optimize Performance and Reduce Risk Using AWS Support Tools (ENT316-R1) - AW...Amazon Web Services
To help manage the risk of downtime, AWS Support offers tools, such as Personal Health Dashboard (PHD) and Trusted Advisor (TA), that enable you to monitor your environments and automate actions for compliance with best practices. In this session, we review how AWS Support tools monitor your resources, provide alerts for issues, and automate best practice recommendations and remediation. We also showcase the integration of these tools with Alexa for Business to make it easier to access information about your AWS environment just by asking Alexa. Join us to see how you can optimize your AWS environment and reduce risk by implementing automation of AWS best practice recommendations from with AWS Support tools. Bring your own laptop.
Similar to Cost Optimization Tooling (ARC301) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.