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.
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
Infrastructure is code with the AWS CDK - MAD312 - New York AWS SummitAmazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a multi-language, open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and provision applications built from those components using AWS CloudFormation. In this session, we quickly cover the basic concepts of the AWS CDK. We then develop an application using the AWS CDK. We show you how to use the AWS CDK to quickly assemble your AWS infrastructure using the new Python CDK that launched earlier this year. We explore the AWS Construct Library and show you how easy it is configure your cloud resources, manage permissions, connect event sources, and even build and publish your own constructs. Join us for a fun session with a heavy emphasis on live coding.
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
AWS EC2 is a web service that provides secure and resizable computing capacity. It allows users to develop and deploy applications faster by eliminating the need for upfront hardware costs. EC2 provides instances of varying configurations that can be launched from AMIs. Instances exist within regions and availability zones for high availability and reliability. Security groups act as virtual firewalls, while key pairs and tags help manage access and resources. Pricing options include on-demand, reserved, spot and dedicated host instances. Troubleshooting guidance covers connection issues, authentication errors and instance failures.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
Introduction to Amazon Kinesis Firehose - AWS August Webinar SeriesAmazon Web Services
Streaming data applications can deliver compelling, near real-time user experiences, but building the back-end infrastructure to collect and process streaming data is difficult. Amazon Kinesis Firehose makes it easy for you to load streaming data into AWS without having to build custom stream processing applications. In this webinar, we will introduce Amazon Kinesis Firehose and discuss how to ingest streaming data into Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service using Amazon Kinesis Firehose. We will also highlight key use cases based on real-world examples from IoT, AdTech, E-Commerce, and Gaming. Join us to: - Get an introduction to streaming data and an overview of Amazon Kinesis Firehose - Learn about common streaming data use cases from IoT, Ad Tech, E-Commerce, and Gaming - Understand how to use Amazon Kinesis Firehose to load streaming data into Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service Who should attend: Developers, data analysts, data engineers, architects
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
Infrastructure is code with the AWS CDK - MAD312 - New York AWS SummitAmazon Web Services
The AWS Cloud Development Kit (AWS CDK) is a multi-language, open-source framework from AWS that enables developers to harness the full power of modern programming languages to define reusable cloud components and provision applications built from those components using AWS CloudFormation. In this session, we quickly cover the basic concepts of the AWS CDK. We then develop an application using the AWS CDK. We show you how to use the AWS CDK to quickly assemble your AWS infrastructure using the new Python CDK that launched earlier this year. We explore the AWS Construct Library and show you how easy it is configure your cloud resources, manage permissions, connect event sources, and even build and publish your own constructs. Join us for a fun session with a heavy emphasis on live coding.
Learning Objectives:
- Learn how to make decisions about the service and share best practices and useful tips for success
- Learn about Content based routing, HTTP/2, WebSockets
- Secure your web applications using TLS termination, AWS WAF on Application Load Balancer
AWS EC2 is a web service that provides secure and resizable computing capacity. It allows users to develop and deploy applications faster by eliminating the need for upfront hardware costs. EC2 provides instances of varying configurations that can be launched from AMIs. Instances exist within regions and availability zones for high availability and reliability. Security groups act as virtual firewalls, while key pairs and tags help manage access and resources. Pricing options include on-demand, reserved, spot and dedicated host instances. Troubleshooting guidance covers connection issues, authentication errors and instance failures.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
Introduction to Amazon Kinesis Firehose - AWS August Webinar SeriesAmazon Web Services
Streaming data applications can deliver compelling, near real-time user experiences, but building the back-end infrastructure to collect and process streaming data is difficult. Amazon Kinesis Firehose makes it easy for you to load streaming data into AWS without having to build custom stream processing applications. In this webinar, we will introduce Amazon Kinesis Firehose and discuss how to ingest streaming data into Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service using Amazon Kinesis Firehose. We will also highlight key use cases based on real-world examples from IoT, AdTech, E-Commerce, and Gaming. Join us to: - Get an introduction to streaming data and an overview of Amazon Kinesis Firehose - Learn about common streaming data use cases from IoT, Ad Tech, E-Commerce, and Gaming - Understand how to use Amazon Kinesis Firehose to load streaming data into Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service Who should attend: Developers, data analysts, data engineers, architects
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
by Kashif Imran, Sr. Solutions Architect, AWS
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Learning Objectives:
- Review best practices for to reduce costs, protect against data loss, and increase performance in Amazon S3
- Learn about new S3 storage management features that help you align storage with business needs
- Understand data security capabilities available in S3 that help protect against malicious or accidental deletion or other data loss
Learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on to your object storage workloads.
In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
영상 다시보기: https://youtu.be/aoQOqhVtdGo
기존 온-프레미스 환경에서 운영 중인 서버들을 AWS 클라우드로 옮겨오기 위한 방법은 무엇일까요? 본 세션에서는 리눅스 서버, 윈도우 서버 그리고 VMWare 등에서 운영되는 기존 서버의 클라우드 이전 방법을 소개합니다. 이를 통해 AWS의 기업 고객이 대량 마이그레이션을 진행했는지 고객 사례도 함께 공유합니다. 뿐만 아니라 VMware on AWS 및 AWS Outpost 같은 하이브리드 옵션을 통해 클라우드 도입을 가속화 하는 신규 서비스 동향도 살펴봅니다.
An introduction to AWS CloudFormation - Pop-up Loft Tel AvivAmazon Web Services
This document introduces AWS CloudFormation, which allows users to automate the deployment and configuration of AWS resources through templates. CloudFormation templates describe the configuration of AWS resources using JSON or YAML files. When deployed, the template creates a "stack" of linked resources. Common uses of CloudFormation include replicating environments, deploying across regions, and disaster recovery. The document also discusses best practices like reusing templates, using parameters and mappings, and versioning templates with AWS CodeCommit.
Features of Alfresco Search Services.
Features of Alfresco Search & Insight Engine.
Future plans for the product
---
DEMO GUIDE
[1] Queries: Share > Node Browser
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
[2] Queries: Share > JS Console
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_FTS_ALFRESCO,
"ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'");
logger.log(ResultSet.getNodeRefs());
---
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_CMIS_ALFRESCO,
"SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')");
logger.log(ResultSet.getNodeRefs());
---
var def =
{
query: "ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'",
language: "fts-alfresco"
};
var results = search.query(def);
logger.log(results);
[3] Queries: api-explorer
{
"query": {
"language": "afts",
"query": "ASPECT:\"cm:titled\" AND cm:title:\"*Sample\" AND TEXT:\"code\""
}
}
---
{
"query": {
"language": "cmis",
"query": "SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')"
}
}
[4] Queries: CMIS Workbench > Groovy Console
rs = session.query("SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')", false)
for (res in rs) {
println(res.getPropertyValueById('cmis:objectId'))
}
[5] Queries: SOLR Web Console > (alfresco) > Query
/afts
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
---
/cmis
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
---
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Chicago ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
옵저버빌러티(Observability) 확보로 서버리스 마이크로서비스 들여다보기 - 김형일 AWS 솔루션즈 아키텍트 :: AWS Summi...Amazon Web Services Korea
복잡한 마이크로서비스를 서버리스 환경에서 운영할 경우 효율적인 모니터링과 관찰 가능성 확보 방안이 요구됩니다. 본 세션에서는 Amazon CloudWatch의 다양한 기능 중 Dashboard, Metrics, Synthetics, Anomaly Detection, Container Insight, Lambda Insight, Log Insight 등과 AWS X-Ray를 소개하고 Observability (옵저버빌러티) 향상을 위해 최근 새롭게 출시된 서비스들을 알아봅니다.
Slides for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Architectures for open and scalable cloudsRandy Bias
My presentation for 2012's Cloud Connect that goes over architectural and design patterns for open and scalable clouds. Technical deck targeted at business audiences with a technical bent.
A deep dive into Amazon MSK - ADB206 - Chicago AWS SummitAmazon Web Services
Apache Kafka is a popular, open-source technology for collecting, processing, and analyzing streaming data in real-time. Amazon MSK is a fully managed service that removes the complexities of managing Kafka clusters so that you can focus on building real-time applications. In this session, we provide an overview of Amazon MSK and then discuss how to get started. We then look at some best practices and top tips, and walk through how to decide whether to choose Amazon MSK, Amazon Kinesis, or a mix of both to address your data streaming use cases.
This document provides an overview of AWS CloudFormation including:
- How it allows for the creation and management of AWS resources through templates
- The components of CloudFormation including templates, stacks, and the CloudFormation API
- How to work with templates, create stacks, update stacks, and delete stacks
- Details on working with AWS resources and parameters within templates
- How to reference properties of other resources and input parameters
- Techniques for bootstrapping applications and handling updates within stacks
Introduction to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of Spot EC2 instances to reduce costs, and other Amazon EMR architectural best practices.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about features of EC2, EC2 Options, family type, storage, EBS Volumes, EC2 Instance Store, Security Groups, Volumes and Snapshots, Amazon Machine Image (AMI), Elastic load balancer, Classic load balancer, Application load balancer, Network load balancer, AWS CLI and EC2 Metadata
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
The AWS CLI provides an easy-to-use command line interface to AWS and allows you to create powerful automation scripts. In this session, you learn advanced techniques that open up new scenarios for using the AWS CLI. We demonstrate how to filter and transform service responses, how to chain and script commands, and explore new features in the AWS CLI.
GPSWKS407-Strategies for Migrating Microsoft SQL Databases to AWSAmazon Web Services
Data is king! In this workshop, we explore different strategies and options for migrating Microsoft SQL Server databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools you can use for migration, monitoring, and backup and recovery.
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSAmazon Web Services
You can significantly reduce database licensing and operational costs by migrating from commercial database engines to Amazon RDS. In addition, you can gain flexibility and operational efficiency by avoiding the frustrating usage constraints that accompany commercial database licenses. Amazon RDS is a fully managed database service, so you no longer need to worry about complex database management tasks. Launch a single database instance or thousands of them in just a few minutes, and pay only for what you use. Learn how AWS Database Migration Service and AWS Schema Conversion Tool help you migrate commercial databases like Oracle and Microsoft SQL Server to Amazon RDS and Aurora easily and securely with minimal downtime.
by Kashif Imran, Sr. Solutions Architect, AWS
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Learning Objectives:
- Review best practices for to reduce costs, protect against data loss, and increase performance in Amazon S3
- Learn about new S3 storage management features that help you align storage with business needs
- Understand data security capabilities available in S3 that help protect against malicious or accidental deletion or other data loss
Learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on to your object storage workloads.
In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
영상 다시보기: https://youtu.be/aoQOqhVtdGo
기존 온-프레미스 환경에서 운영 중인 서버들을 AWS 클라우드로 옮겨오기 위한 방법은 무엇일까요? 본 세션에서는 리눅스 서버, 윈도우 서버 그리고 VMWare 등에서 운영되는 기존 서버의 클라우드 이전 방법을 소개합니다. 이를 통해 AWS의 기업 고객이 대량 마이그레이션을 진행했는지 고객 사례도 함께 공유합니다. 뿐만 아니라 VMware on AWS 및 AWS Outpost 같은 하이브리드 옵션을 통해 클라우드 도입을 가속화 하는 신규 서비스 동향도 살펴봅니다.
An introduction to AWS CloudFormation - Pop-up Loft Tel AvivAmazon Web Services
This document introduces AWS CloudFormation, which allows users to automate the deployment and configuration of AWS resources through templates. CloudFormation templates describe the configuration of AWS resources using JSON or YAML files. When deployed, the template creates a "stack" of linked resources. Common uses of CloudFormation include replicating environments, deploying across regions, and disaster recovery. The document also discusses best practices like reusing templates, using parameters and mappings, and versioning templates with AWS CodeCommit.
Features of Alfresco Search Services.
Features of Alfresco Search & Insight Engine.
Future plans for the product
---
DEMO GUIDE
[1] Queries: Share > Node Browser
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
[2] Queries: Share > JS Console
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_FTS_ALFRESCO,
"ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'");
logger.log(ResultSet.getNodeRefs());
---
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_CMIS_ALFRESCO,
"SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')");
logger.log(ResultSet.getNodeRefs());
---
var def =
{
query: "ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'",
language: "fts-alfresco"
};
var results = search.query(def);
logger.log(results);
[3] Queries: api-explorer
{
"query": {
"language": "afts",
"query": "ASPECT:\"cm:titled\" AND cm:title:\"*Sample\" AND TEXT:\"code\""
}
}
---
{
"query": {
"language": "cmis",
"query": "SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')"
}
}
[4] Queries: CMIS Workbench > Groovy Console
rs = session.query("SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')", false)
for (res in rs) {
println(res.getPropertyValueById('cmis:objectId'))
}
[5] Queries: SOLR Web Console > (alfresco) > Query
/afts
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
---
/cmis
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
---
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Chicago ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
옵저버빌러티(Observability) 확보로 서버리스 마이크로서비스 들여다보기 - 김형일 AWS 솔루션즈 아키텍트 :: AWS Summi...Amazon Web Services Korea
복잡한 마이크로서비스를 서버리스 환경에서 운영할 경우 효율적인 모니터링과 관찰 가능성 확보 방안이 요구됩니다. 본 세션에서는 Amazon CloudWatch의 다양한 기능 중 Dashboard, Metrics, Synthetics, Anomaly Detection, Container Insight, Lambda Insight, Log Insight 등과 AWS X-Ray를 소개하고 Observability (옵저버빌러티) 향상을 위해 최근 새롭게 출시된 서비스들을 알아봅니다.
Slides for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Architectures for open and scalable cloudsRandy Bias
My presentation for 2012's Cloud Connect that goes over architectural and design patterns for open and scalable clouds. Technical deck targeted at business audiences with a technical bent.
A deep dive into Amazon MSK - ADB206 - Chicago AWS SummitAmazon Web Services
Apache Kafka is a popular, open-source technology for collecting, processing, and analyzing streaming data in real-time. Amazon MSK is a fully managed service that removes the complexities of managing Kafka clusters so that you can focus on building real-time applications. In this session, we provide an overview of Amazon MSK and then discuss how to get started. We then look at some best practices and top tips, and walk through how to decide whether to choose Amazon MSK, Amazon Kinesis, or a mix of both to address your data streaming use cases.
This document provides an overview of AWS CloudFormation including:
- How it allows for the creation and management of AWS resources through templates
- The components of CloudFormation including templates, stacks, and the CloudFormation API
- How to work with templates, create stacks, update stacks, and delete stacks
- Details on working with AWS resources and parameters within templates
- How to reference properties of other resources and input parameters
- Techniques for bootstrapping applications and handling updates within stacks
Introduction to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of Spot EC2 instances to reduce costs, and other Amazon EMR architectural best practices.
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about features of EC2, EC2 Options, family type, storage, EBS Volumes, EC2 Instance Store, Security Groups, Volumes and Snapshots, Amazon Machine Image (AMI), Elastic load balancer, Classic load balancer, Application load balancer, Network load balancer, AWS CLI and EC2 Metadata
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zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
The AWS CLI provides an easy-to-use command line interface to AWS and allows you to create powerful automation scripts. In this session, you learn advanced techniques that open up new scenarios for using the AWS CLI. We demonstrate how to filter and transform service responses, how to chain and script commands, and explore new features in the AWS CLI.
GPSWKS407-Strategies for Migrating Microsoft SQL Databases to AWSAmazon Web Services
Data is king! In this workshop, we explore different strategies and options for migrating Microsoft SQL Server databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools you can use for migration, monitoring, and backup and recovery.
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSAmazon Web Services
You can significantly reduce database licensing and operational costs by migrating from commercial database engines to Amazon RDS. In addition, you can gain flexibility and operational efficiency by avoiding the frustrating usage constraints that accompany commercial database licenses. Amazon RDS is a fully managed database service, so you no longer need to worry about complex database management tasks. Launch a single database instance or thousands of them in just a few minutes, and pay only for what you use. Learn how AWS Database Migration Service and AWS Schema Conversion Tool help you migrate commercial databases like Oracle and Microsoft SQL Server to Amazon RDS and Aurora easily and securely with minimal downtime.
DAT317_Migrating Databases and Data Warehouses to the CloudAmazon Web Services
The document discusses migrating databases and data warehouses to AWS using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). DMS allows migrating and replicating databases to AWS, supporting heterogeneous migrations between commercial and open-source databases. SCT automates converting database schemas between different database engines. The document provides an overview of the migration process, when to use DMS and SCT, how they work, examples, and resources for customers.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
This document summarizes a presentation about running Oracle enterprise solutions on AWS. It discusses how several large customers have successfully migrated Oracle E-Business Suite, PeopleSoft, and Siebel applications to AWS. The presentation covers the architectures for running these applications on AWS, along with considerations for backups, high availability, and migration strategies using tools like AWS Database Migration Service. It also discusses a case study of how consulting partner Sierra-Cedar helped a customer migrate their PeopleSoft environment from their data center to AWS.
Design, Deploy, and Optimize Microsoft SQL Server on AWS - WIN306 - re:Invent...Amazon Web Services
This session dives deep on best practices and considerations for running Microsoft SQL Server on AWS. We cover best practices for deploying SQL Server, how to choose between Amazon EC2 and Amazon RDS, and ways to optimize the performance of your SQL Server deployment for different types of applications. We review in detail how to provision and monitor your SQL Server databases, and how to manage scalability, performance, availability, security, and backup and recovery in both Amazon RDS and Amazon EC2. In addition, we discuss how you can set up a disaster recovery solution between an on-premises SQL Server environment and AWS, using native SQL Server features like log shipping, replication, and AlwaysOn Availability Groups.
Migrate your databases to AWS with minimal downtime. More than 80,000 databases have been migrated using AWS Database Migration Service.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Chris England - Sr. Technical Account Manager, AWS
Use AWS DMS to Securely Migrate Your Oracle Database to Amazon Aurora with Mi...Amazon Web Services
Changing database engines is often daunting to customers. However, the value of a highly scalable, cost-effective, and fully managed service, such as Amazon Aurora, can make the challenge worth it. In this hand-on lab, we demonstrate how to take advantage of the AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) to facilitate and simplify migrating an Oracle database to the Amazon Aurora PostgreSQL-compatible Edition. We connect to an Oracle (source) and a PostgreSQL (target) instance, and convert the Oracle database schema and code objects to PostgreSQL using AWS SCT. Then, we migrate and replicate the data using AWS DMS. AWS credits are provided. Bring your laptop, and have an active AWS account.
Scale Website dan Mobile Applications Anda di AWS hingga 10 juta penggunaAmazon Web Services
Dengan cloud computing, Anda akan mendapatkan sejumlah keuntungan, seperti kemampuan untuk scale web application atau website secara on-demand. Jika Anda sedang membangun web application dan ingin mulai menggunakan cloud computing, mungkin terlintas di benak Anda, “Mulai dari mana?” Mari bergabung bersama kami dalam sesi ini untuk memahami praktik terbaik untuk scaling infrastruktur Anda, mulai dari nol hingga jutaan pengguna. Kami akan tunjukkan cara terbaik untuk membangun bisnis Anda dengan layanan AWS, membantu memutuskan pilihan yang lebih cerdas, dan bagaimana scaling infrastruktur Anda di cloud.
Migrating Your SQL Server Databases to Amazon RDS - DAT312 - re:Invent 2017Amazon Web Services
This document summarizes a presentation about migrating SQL Server databases to Amazon RDS. It discusses OutSystems' experience migrating over 800 SQL Server instances to RDS and leveraging several AWS services. It also outlines new features of RDS for SQL Server, including increased storage capacity, instance type support, engine version updates, license inclusion expansions, and other enhancements.
Heterogenous Migration with DMS and SCT: Database Week San FranciscoAmazon Web Services
Database Week at the San Francisco Loft: Heterogeneous Migration with DMS and SCT - Oracle RDS to Aurora PostgreSQL migration lab using DMS and SCT.
Speakers:
Ramya Kaushik - Database Engineer, DMS/SCT, AWS
Jatin Singh - Partner Solutions Architect, AWS
There is a large number of legacy enterprise Microsoft applications (HR, Finance, CMS, BPM apps) still running on premises. This session will focus on retiring technical debt and bringing some of those applications into AWS. You will learn why it's important to go cloud, how easy it is to run & optimize Microsoft applications on AWS, the different approaches to maximize server utilization and save money.
The document discusses AWS Database Migration Service (DMS), which allows users to easily migrate databases to AWS. DMS supports homogeneous migrations between databases like MySQL as well as heterogeneous migrations between SQL and NoSQL databases. It can replicate data for disaster recovery and create read replicas. DMS has migrated over 75,000 databases for customers across many use cases from database upgrades to data warehouse migrations. It supports validation of migrations and can use AWS Snowball for large offline migrations.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
Strategies for Migrating Microsoft SQL Databases to AWS - WIN314 - re:Invent ...Amazon Web Services
In this workshop, we explore different strategies and options for migrating Microsoft SQL databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools that you can use for migration, monitoring, and backup and recovery.
How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? In this session you will learn about the AWS Database Migration Service (DMS) and the AWS Schema Migration Tool (SCT). You can use these tools to convert your commercial database and database warehouse to open-source engines or AWS-native services, such as Amazon Aurora and Redshift.
Speakers:
Saurabh Saxena - Principal Technical Account Manager, AWS
Chris England - Sr. Technical Account Manager, AWS
Database Week at the San Francisco Loft: Modernizing DMS
Migrate your databases to AWS with minimal downtime. More than 80,000 databases have been migrated using AWS Database Migration Service.
Speakers:
Ramya Kaushik - Database Engineer, DMS/SCT, AWS
Arun Thiagarajan - Support Engineer, AWS
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.
Database Week at the San Francisco Loft
Modernizing Databases with DMS
Migrate your databases to AWS with minimal downtime. More than 80,000 databases have been migrated using AWS Database Migration Service.
Speaker: Ben Willett - Solutions Architect, AWS
Managing a Database Migration Project Best Practices and Customer References.pdfAmazon Web Services
This document discusses managing database migration projects using best practices and lessons learned from customer experiences. It provides an overview of the AWS Migration Framework, which is a phased approach for planning and executing a database migration to AWS. The readiness and planning phase involves establishing project controls, discovering applications to migrate, and creating a migration plan. Key activities include defining stakeholders and resources, assessing applications, and prioritizing the migration backlog.
The document discusses AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) for migrating and replicating databases to AWS. DMS can migrate databases between on-premises, EC2, and AWS databases like Aurora and Redshift. SCT converts database schemas between open source and proprietary formats. Together these services allow users to modernize databases, migrate data warehouses to Redshift, and replicate across environments with minimal downtime.
Similar to Migrating Microsoft SQL Server Databases to AWS – Best Practices and Patterns - WIN301 - re:Invent 2017 (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.