해줌은 발전소 모니터링 서비스를 제공하고 있습니다. 효과적인 모니터링을 위해 다양한 데이터를 수집 및 분석하여 발전량 예측 및 이상 감지를 하고 있습니다. 글로벌 사업 확장 요구와 지속적인 데이터 증가를 수용하기 위해 온프레미스에서 AWS로의 전환을 시작하였으며, 이 중 서버리스 기반의 데이터 처리를 구현한 해줌의 DW 플랫폼 사례를 소개하고자 합니다.
The document discusses Amazon EC2, a web service that provides secure, resizable compute capacity in the cloud. It offers virtual computing environments called instances that can be used to build and host applications. EC2 provides options for different instance types that vary in CPU, memory, storage, and networking capacity depending on the application's requirements. The document explores the various EC2 instance types and how to select the optimal instance for an application.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
Apache MXNet/Gluon으로 쉽고 빠르게 구현하는 딥러닝
MXNet/Gluon 을 활용하여 이미지 인식, Style 변환 등의 다양한 딥러닝 모델을 쉽고 빠르게 구현하는 방법을 설명 합니다. 그리고 GluonCV, GluonNLP 등을 활용하여 최신 딥러닝 모델을 쉽게 구현하는 방법도 함께 소개합니다. 또한 구현한 모델을 효율적으로 운영/관리 할 수 있는 방법 등을 공유합니다.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
통합 머신러닝 플랫폼 Amazon SageMaker 활용하기 (강지양 & 김태현, AWS 솔루션즈 아키텍트) :: AWS DevDay2018Amazon Web Services Korea
통합 머신러닝 플랫폼 Amazon SageMaker 활용하기
데이터 사이언티스트와 개발자들이 쉽고 빠르게 구성, 학습하고 어떤 규모로든 기계 학습된 모델을 배포할 수 있도록 해주는 관리형 서비스, Amazon SageMaker에 내장된 학습 기능을 사용하여 모델 훈련 Job 생성하고 예측에 사용될 수 있도록 endpoint를 생성하고 머신 러닝이 정형 데이터 (e.g. CSV 파일), 비정형 데이터 (e.g. 이미지)에 모두 적용될 수 있음을 다양한 실습 예제들을 통해 확인합니다.
AWS Lambda 자세히 살펴보기
AWS 의 Lambda 를 이용하면 서버를 고려하지 않고 애플리케이션과 서비스를 구축하고 실행할 수 있습니다. 본 세션에서는 Lambda 의 개념과, 환경 구성 그리고 람다를 위한 Application Lifecycle Management에 관하여 다룹니다. 더불어 서버리스 컴퓨팅에서 어렵게 느껴지는 주제인 디버깅 옵션및 트러블슈팅을 예제를 통하여 설명합니다.
This document provides a company profile for a renewable energy company. It details the company's current installed renewable energy capacity, including 2,500MW of wind, 150MW of solar, 527MW of water, and 480MW of natural gas. The company's annual production is projected to be around 10TWh by 2022, with a total energy portfolio of around 15TWh including hedging and other sales. The profile also provides a brief history of the company and encourages following the company on social media.
Amazon API Gateway와 Lambda 함수 기반 Websocket 앱 구현하기 :: 권정빈 - AWS Community 2019AWSKRUG - AWS한국사용자모임
The document is a technical paper that discusses several topics including: 1) cloud computing concepts and services, 2) strategies for architecting applications on the cloud, and 3) best practices for optimizing costs and performance of applications on the cloud. It provides examples and recommendations for how to design and implement cloud-based applications and systems.
The document discusses Amazon EC2, a web service that provides secure, resizable compute capacity in the cloud. It offers virtual computing environments called instances that can be used to build and host applications. EC2 provides options for different instance types that vary in CPU, memory, storage, and networking capacity depending on the application's requirements. The document explores the various EC2 instance types and how to select the optimal instance for an application.
The document appears to be a presentation or notes containing bullet points and sections written in different languages with technical terms but no clear overall narrative. It discusses topics like AWS services, Kubernetes, configurations, sessions, surveys and using hashtags but does not provide enough context to understand the purpose or content of the document. The document contains numerous copyright lines but no other contextual information.
Apache MXNet/Gluon으로 쉽고 빠르게 구현하는 딥러닝
MXNet/Gluon 을 활용하여 이미지 인식, Style 변환 등의 다양한 딥러닝 모델을 쉽고 빠르게 구현하는 방법을 설명 합니다. 그리고 GluonCV, GluonNLP 등을 활용하여 최신 딥러닝 모델을 쉽게 구현하는 방법도 함께 소개합니다. 또한 구현한 모델을 효율적으로 운영/관리 할 수 있는 방법 등을 공유합니다.
The document discusses AIoT (Artificial Intelligence of Things) and AWS services that can be used for AIoT applications. It covers AWS Greengrass for deploying machine learning models to edge devices, SageMaker Ground Truth for data labeling, and SageMaker Neo for compiling models for deployment on edge devices. It also mentions using services like IoT Core, IoT Analytics and IoT SiteWise with edge devices.
통합 머신러닝 플랫폼 Amazon SageMaker 활용하기 (강지양 & 김태현, AWS 솔루션즈 아키텍트) :: AWS DevDay2018Amazon Web Services Korea
통합 머신러닝 플랫폼 Amazon SageMaker 활용하기
데이터 사이언티스트와 개발자들이 쉽고 빠르게 구성, 학습하고 어떤 규모로든 기계 학습된 모델을 배포할 수 있도록 해주는 관리형 서비스, Amazon SageMaker에 내장된 학습 기능을 사용하여 모델 훈련 Job 생성하고 예측에 사용될 수 있도록 endpoint를 생성하고 머신 러닝이 정형 데이터 (e.g. CSV 파일), 비정형 데이터 (e.g. 이미지)에 모두 적용될 수 있음을 다양한 실습 예제들을 통해 확인합니다.
AWS Lambda 자세히 살펴보기
AWS 의 Lambda 를 이용하면 서버를 고려하지 않고 애플리케이션과 서비스를 구축하고 실행할 수 있습니다. 본 세션에서는 Lambda 의 개념과, 환경 구성 그리고 람다를 위한 Application Lifecycle Management에 관하여 다룹니다. 더불어 서버리스 컴퓨팅에서 어렵게 느껴지는 주제인 디버깅 옵션및 트러블슈팅을 예제를 통하여 설명합니다.
This document provides a company profile for a renewable energy company. It details the company's current installed renewable energy capacity, including 2,500MW of wind, 150MW of solar, 527MW of water, and 480MW of natural gas. The company's annual production is projected to be around 10TWh by 2022, with a total energy portfolio of around 15TWh including hedging and other sales. The profile also provides a brief history of the company and encourages following the company on social media.
Amazon API Gateway와 Lambda 함수 기반 Websocket 앱 구현하기 :: 권정빈 - AWS Community 2019AWSKRUG - AWS한국사용자모임
The document is a technical paper that discusses several topics including: 1) cloud computing concepts and services, 2) strategies for architecting applications on the cloud, and 3) best practices for optimizing costs and performance of applications on the cloud. It provides examples and recommendations for how to design and implement cloud-based applications and systems.
This document summarizes Amazon Game Tech Night #5 from GDC2018 and recaps Amazon's game tech solutions in 2018. It outlines several Amazon web services that can be used to support game development, such as Amazon API Gateway, Amazon DynamoDB, Amazon Lambda, and Amazon S3. It also provides information about Amazon's GameOn service, which allows developers to add multiplayer and social functionality to games. Links are included for the Amazon developer portal and GameOn documentation pages, which contain additional resources for building games on Amazon technologies.
This document contains forecasts for the KOSPI stock market index for September and October 2017, as well as disclaimers for the analysis. It forecasts that the KOSPI index will range from 1,950 to 2,350 over the next month under three different scenarios, and compares the forecasts to what actually occurred. It also notes that while the analysis is based on reliable data, its accuracy is not guaranteed and users are responsible for their own investment decisions based on the information.
The document appears to be a presentation from Amazon Web Services about serverless application development on AWS. It discusses various AWS services for building serverless applications like Lambda, API Gateway, DynamoDB, S3, and Step Functions. It provides examples of creating serverless APIs with Lambda and API Gateway and deploying serverless applications using the Serverless Application Model.
This document contains forecasts for the KOSPI stock market index for September and October 2017, as well as disclaimers about the forecast data. The forecasts show predicted values for the KOSPI index on each day of the month, along with actual realized values for September 2017. The forecasts range from 2,200 to 2,500 for September and 2,100 to 2,700 for October. The document also contains four statements that disclose the consulting firm is not responsible for errors or omissions in the data, users are responsible for their own investment decisions based on the information, and users cannot redistribute the information without permission.
This document appears to be a forecast report from an algorithm company analyzing the KOSPI stock market index from South Korea. It includes two scenarios with forecasted values for the KOSPI index from 2017 to 2020. It also includes notices that the accuracy of the data is not guaranteed, the algorithm company is not legally responsible for investment decisions based on the data, and that the information cannot be redistributed.
This document contains a forecast report from the KOSPI Algorithm for September 2017. It provides the predicted daily closing prices for the KOSPI stock index for the month, ranging from 2,000 to 2,300. It also includes a graph comparing the forecasted prices to the actual realized prices. The document outlines two scenarios for October 2017 forecasts, from 1,850 to 2,250. It concludes with notices that the accuracy of information is not guaranteed, investment decisions remain the user's responsibility, and the analysis cannot be redistributed.
The document discusses how incumbent space providers and new space companies can work together to create a mass market for observation imagery. It notes that incumbent space providers currently meet user needs for resolution, image size, and coverage but lack timeliness, while new space companies offer more frequent and timely imagery but at a lower resolution and smaller image size. The document suggests that by 2022, as new space technologies from companies and drones mature, they could capture $5 billion of the $10 billion earth observation market, currently dominated by incumbent space providers.
Startup pitch presented by co-founder and CEO Corentin Guillo. Bird.i is building a platform for up-to-date earth observation data that will bring satellite imagery to the mass market. Providing fresh imagery together with analytics around the forecast of localised demand opens up innovative opportunities in sectors like construction, tourism, real-estate and remote facility monitoring.
This document contains a KOSPI algorithm forecast report from The Algorithm Company Analysis Consulting. It provides forecasts for the KOSPI stock index for September and October 2017, showing predicted values alongside realized values. It also contains three scenarios for October 2017 with different forecast lines. The final section provides a compliance notice for the consulting firm, stating that they are not responsible for errors or omissions in the data and forecasts, and users are responsible for their own investment decisions based on this information.
Nifty futures are index futures where the underlying is the S&P CNX Nifty index. In India, index futures trading commenced in 2000 on the National Stock Exchange (NSE).
For Nifty futures contracts, the permitted lot size is 50, and in multiples of 50. Like other futures contracts, Nifty futures contracts also have a three-month trading cycle -- the near-month, the next month and the far-month.
After the expiry of the near-month contract, a new contract of a three-month duration would be introduced on the next trading day. Investors can trade in Nifty futures by having a margin amount in their account. This margin is a percentage of the contract value. It is usually about 10-12 per cent.
Amazon Polly와 Cloud9을 활용한 서버리스 웹 애플리케이션 및 CI/CD 배포 프로세스 구축 (김현수, AWS 솔루션즈 아키텍...Amazon Web Services Korea
The document discusses using Amazon Polly and Cloud9 to build a serverless web application and CI/CD deployment process. It describes how Amazon Polly can convert text to speech using deep learning techniques. It then explains how Cloud9 can be used as an IDE for developing serverless applications and how AWS services like Lambda, S3, API Gateway, etc. can be used to build the serverless architecture. It also covers how SAM templates can be used to define the infrastructure and how AWS CodeStar and CodeCommit can help with continuous integration and delivery of code changes.
This document discusses AWS services for startups. It includes:
1. An overview of Amazon Elastic Container Service (ECS) and AWS Fargate for deploying containerized applications without managing infrastructure.
2. A diagram of a sample CI/CD pipeline using CodePipeline, CodeBuild, CodeDeploy, and CodeCommit to continuously deploy code changes.
3. Growth hacking techniques like using AWS Analytics SDK and KPI metrics to optimize the customer experience.
Predictive Scaling for More Responsive Applications (API330) - AWS re:Invent ...Amazon Web Services
Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide.
The document discusses Amazon CloudFront, AWS Lambda, and Lambda@Edge. It describes how CloudFront can use Lambda@Edge functions to modify requests as they are routed to origins and cache behaviors. This allows resizing images on the fly based on query string parameters to optimize image delivery.
AWS Cloud9과 Workspace만으로 PC없는 개발환경 활용기
클라우드 기반의 IDE와 가상 데스크톱 서비스를 이용하면 언제 어디서나 개발 환경을 구축할 수 있습니다. 애플리케이션 서비스를 위해 서버리스(Serverless)를 이용할 수 있는 것 처럼 개발 환경도 컴퓨터리스(Computerless)로 가능합니다. AWS Cloud9과 Workspace만으로 PC없이 웹 서비스 및 안드로이드 앱 개발을 진행하는 방법을 소개합니다.
[NEW LAUNCH!] Introduction to AWS Global Accelerator (NET330) - AWS re:Invent...Amazon Web Services
This session introduces AWS Global Accelerator, a new global service that enables you to optimally route traffic to your multi-regional endpoints via static Anycast IP addresses that are announced from the expansive AWS edge network. This session walks through the various features and customer use cases for Global Accelerator. Several example use cases demonstrate how you can use Ubiquity to achieve near-zero application downtime and reduce latency for your global applications. We will walk you through the architecture and will also include a demo of the workflow. Attend this session if you are looking at ways to accelerate performance of your global applications, achieve high availability for your mission critical applications or easily manage multiple IP addresses through a static Anycast IP that fronts your applications.
Monitoring Serverless Applications (SRV303-S) - AWS re:Invent 2018Amazon Web Services
Serverless brings many advantages to software development, but it introduces new monitoring challenges as well. Isolated telemetry on individual functions might not provide enough visibility, and instrumentation in a world where 100 ms of extra execution time could cost thousands of dollars might prove prohibitive. In this session, we explore how New Relic enables full observability of the serverless stack, including its executing context, with minimal impact in performance. Learn from customer case studies and real-world examples. This session is brought to you by AWS partner, New Relic.
The document appears to be a technical paper on graph databases and Amazon Neptune. It discusses challenges in building applications with highly connected data and how Neptune can help by allowing storage and querying of graph data through traversal of relationships between entities. It provides examples of using Neptune to represent social network data and querying graph data through Gremlin.
AWS Direct Connect: Deep Dive (NET403) - AWS re:Invent 2018Amazon Web Services
AWS Direct Connect provides a more consistent network experience for accessing your AWS resources, typically with greater bandwidth and reduced network costs. This session dives deep into the features of AWS Direct Connect, including public and private virtual Interfaces, Direct Connect Gateway, global access, local preference communities, and more.
신입 개발자가 스타트업에서 AWS로 살아남는 이야기
조용진, 모두의 캠퍼스
취준생이었다가 스타트업 신입 개발자가 된 후 겪은 다양한 문제를 어떻게 AWS로 해결해 나갔는지 개인 경험담을 공유합니다. AWS의 기본적인 서비스인 S3, EC2, RDS로 부터 시작해서 오토스케일링, Route 53 그리고 트래픽 이슈를 해결하기 위해 서버 기반 렌더링을 AWS Lambda를 통한 서버리스 솔루션으로 해결한 모두의 캠퍼스 아키텍처 진화 과정을 자세히 소개합니다. AWS를 처음 사용하거나 쓰긴 하지만 아직 기본적인 사용에 벗어나지 못하는 분들을 위한 세션입니다.
This document summarizes Amazon Game Tech Night #5 from GDC2018 and recaps Amazon's game tech solutions in 2018. It outlines several Amazon web services that can be used to support game development, such as Amazon API Gateway, Amazon DynamoDB, Amazon Lambda, and Amazon S3. It also provides information about Amazon's GameOn service, which allows developers to add multiplayer and social functionality to games. Links are included for the Amazon developer portal and GameOn documentation pages, which contain additional resources for building games on Amazon technologies.
This document contains forecasts for the KOSPI stock market index for September and October 2017, as well as disclaimers for the analysis. It forecasts that the KOSPI index will range from 1,950 to 2,350 over the next month under three different scenarios, and compares the forecasts to what actually occurred. It also notes that while the analysis is based on reliable data, its accuracy is not guaranteed and users are responsible for their own investment decisions based on the information.
The document appears to be a presentation from Amazon Web Services about serverless application development on AWS. It discusses various AWS services for building serverless applications like Lambda, API Gateway, DynamoDB, S3, and Step Functions. It provides examples of creating serverless APIs with Lambda and API Gateway and deploying serverless applications using the Serverless Application Model.
This document contains forecasts for the KOSPI stock market index for September and October 2017, as well as disclaimers about the forecast data. The forecasts show predicted values for the KOSPI index on each day of the month, along with actual realized values for September 2017. The forecasts range from 2,200 to 2,500 for September and 2,100 to 2,700 for October. The document also contains four statements that disclose the consulting firm is not responsible for errors or omissions in the data, users are responsible for their own investment decisions based on the information, and users cannot redistribute the information without permission.
This document appears to be a forecast report from an algorithm company analyzing the KOSPI stock market index from South Korea. It includes two scenarios with forecasted values for the KOSPI index from 2017 to 2020. It also includes notices that the accuracy of the data is not guaranteed, the algorithm company is not legally responsible for investment decisions based on the data, and that the information cannot be redistributed.
This document contains a forecast report from the KOSPI Algorithm for September 2017. It provides the predicted daily closing prices for the KOSPI stock index for the month, ranging from 2,000 to 2,300. It also includes a graph comparing the forecasted prices to the actual realized prices. The document outlines two scenarios for October 2017 forecasts, from 1,850 to 2,250. It concludes with notices that the accuracy of information is not guaranteed, investment decisions remain the user's responsibility, and the analysis cannot be redistributed.
The document discusses how incumbent space providers and new space companies can work together to create a mass market for observation imagery. It notes that incumbent space providers currently meet user needs for resolution, image size, and coverage but lack timeliness, while new space companies offer more frequent and timely imagery but at a lower resolution and smaller image size. The document suggests that by 2022, as new space technologies from companies and drones mature, they could capture $5 billion of the $10 billion earth observation market, currently dominated by incumbent space providers.
Startup pitch presented by co-founder and CEO Corentin Guillo. Bird.i is building a platform for up-to-date earth observation data that will bring satellite imagery to the mass market. Providing fresh imagery together with analytics around the forecast of localised demand opens up innovative opportunities in sectors like construction, tourism, real-estate and remote facility monitoring.
This document contains a KOSPI algorithm forecast report from The Algorithm Company Analysis Consulting. It provides forecasts for the KOSPI stock index for September and October 2017, showing predicted values alongside realized values. It also contains three scenarios for October 2017 with different forecast lines. The final section provides a compliance notice for the consulting firm, stating that they are not responsible for errors or omissions in the data and forecasts, and users are responsible for their own investment decisions based on this information.
Nifty futures are index futures where the underlying is the S&P CNX Nifty index. In India, index futures trading commenced in 2000 on the National Stock Exchange (NSE).
For Nifty futures contracts, the permitted lot size is 50, and in multiples of 50. Like other futures contracts, Nifty futures contracts also have a three-month trading cycle -- the near-month, the next month and the far-month.
After the expiry of the near-month contract, a new contract of a three-month duration would be introduced on the next trading day. Investors can trade in Nifty futures by having a margin amount in their account. This margin is a percentage of the contract value. It is usually about 10-12 per cent.
Amazon Polly와 Cloud9을 활용한 서버리스 웹 애플리케이션 및 CI/CD 배포 프로세스 구축 (김현수, AWS 솔루션즈 아키텍...Amazon Web Services Korea
The document discusses using Amazon Polly and Cloud9 to build a serverless web application and CI/CD deployment process. It describes how Amazon Polly can convert text to speech using deep learning techniques. It then explains how Cloud9 can be used as an IDE for developing serverless applications and how AWS services like Lambda, S3, API Gateway, etc. can be used to build the serverless architecture. It also covers how SAM templates can be used to define the infrastructure and how AWS CodeStar and CodeCommit can help with continuous integration and delivery of code changes.
This document discusses AWS services for startups. It includes:
1. An overview of Amazon Elastic Container Service (ECS) and AWS Fargate for deploying containerized applications without managing infrastructure.
2. A diagram of a sample CI/CD pipeline using CodePipeline, CodeBuild, CodeDeploy, and CodeCommit to continuously deploy code changes.
3. Growth hacking techniques like using AWS Analytics SDK and KPI metrics to optimize the customer experience.
Predictive Scaling for More Responsive Applications (API330) - AWS re:Invent ...Amazon Web Services
Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide.
The document discusses Amazon CloudFront, AWS Lambda, and Lambda@Edge. It describes how CloudFront can use Lambda@Edge functions to modify requests as they are routed to origins and cache behaviors. This allows resizing images on the fly based on query string parameters to optimize image delivery.
AWS Cloud9과 Workspace만으로 PC없는 개발환경 활용기
클라우드 기반의 IDE와 가상 데스크톱 서비스를 이용하면 언제 어디서나 개발 환경을 구축할 수 있습니다. 애플리케이션 서비스를 위해 서버리스(Serverless)를 이용할 수 있는 것 처럼 개발 환경도 컴퓨터리스(Computerless)로 가능합니다. AWS Cloud9과 Workspace만으로 PC없이 웹 서비스 및 안드로이드 앱 개발을 진행하는 방법을 소개합니다.
[NEW LAUNCH!] Introduction to AWS Global Accelerator (NET330) - AWS re:Invent...Amazon Web Services
This session introduces AWS Global Accelerator, a new global service that enables you to optimally route traffic to your multi-regional endpoints via static Anycast IP addresses that are announced from the expansive AWS edge network. This session walks through the various features and customer use cases for Global Accelerator. Several example use cases demonstrate how you can use Ubiquity to achieve near-zero application downtime and reduce latency for your global applications. We will walk you through the architecture and will also include a demo of the workflow. Attend this session if you are looking at ways to accelerate performance of your global applications, achieve high availability for your mission critical applications or easily manage multiple IP addresses through a static Anycast IP that fronts your applications.
Monitoring Serverless Applications (SRV303-S) - AWS re:Invent 2018Amazon Web Services
Serverless brings many advantages to software development, but it introduces new monitoring challenges as well. Isolated telemetry on individual functions might not provide enough visibility, and instrumentation in a world where 100 ms of extra execution time could cost thousands of dollars might prove prohibitive. In this session, we explore how New Relic enables full observability of the serverless stack, including its executing context, with minimal impact in performance. Learn from customer case studies and real-world examples. This session is brought to you by AWS partner, New Relic.
The document appears to be a technical paper on graph databases and Amazon Neptune. It discusses challenges in building applications with highly connected data and how Neptune can help by allowing storage and querying of graph data through traversal of relationships between entities. It provides examples of using Neptune to represent social network data and querying graph data through Gremlin.
AWS Direct Connect: Deep Dive (NET403) - AWS re:Invent 2018Amazon Web Services
AWS Direct Connect provides a more consistent network experience for accessing your AWS resources, typically with greater bandwidth and reduced network costs. This session dives deep into the features of AWS Direct Connect, including public and private virtual Interfaces, Direct Connect Gateway, global access, local preference communities, and more.
신입 개발자가 스타트업에서 AWS로 살아남는 이야기
조용진, 모두의 캠퍼스
취준생이었다가 스타트업 신입 개발자가 된 후 겪은 다양한 문제를 어떻게 AWS로 해결해 나갔는지 개인 경험담을 공유합니다. AWS의 기본적인 서비스인 S3, EC2, RDS로 부터 시작해서 오토스케일링, Route 53 그리고 트래픽 이슈를 해결하기 위해 서버 기반 렌더링을 AWS Lambda를 통한 서버리스 솔루션으로 해결한 모두의 캠퍼스 아키텍처 진화 과정을 자세히 소개합니다. AWS를 처음 사용하거나 쓰긴 하지만 아직 기본적인 사용에 벗어나지 못하는 분들을 위한 세션입니다.
AWS 인공지능 서비스와 서버리스 서비스를 이용한 동영상 분석 서비스 구축하기 (김현수/황윤상, AWS 솔루션즈 아키텍트) :: AWS D...Amazon Web Services Korea
AWS 인공지능 서비스와 서버리스 서비스를 이용한 동영상 분석 서비스 구축하기
동영상에 포함되어 있는 다양한 정보를 쉽고 빠르게 분석하는 솔루션을 구축할 수 있습니다. VOD 동영상을 S3에 업로드하면, Lambda에서 Elemental MediaConvert를 호출하여 대량의 이미지로 분할하여 S3에 저장합니다. 대량의 이미지는 AWS Lambda를 활용하여 Rekognition 서비스를 호출하여 이미지 정보를 수집합니다. 수집 결과물은 ElasticSearch에 저장하고 Kibana를 통해 시각화 할 수 있습니다.
This document discusses Amazon EC2 and EC2 Auto Scaling. It provides an overview of EC2 and EC2 Auto Scaling, how to use Spot Instances and Spot Fleets with Auto Scaling groups to reduce costs, and how to configure Auto Scaling groups to use a mix of On-Demand and Spot Instances across Availability Zones for fault tolerance. Key points covered include load balancing flexible workloads, optimizing for vCPU usage, and integrating EC2 Auto Scaling with existing EC2 resources.
Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...Amazon Web Services
In this session, we walk through building and deploying a global-scale, multi-region, active-active serverless backend using Amazon Route 53 to route the traffic among AWS Regions, Amazon API Gateway, and AWS Lambda for the backend, and Amazon DynamoDB global tables for handling data storage at a global scale. We provide a demo and a hands-on coding opportunity.
The document discusses Amazon SageMaker Ground Truth, a fully managed data labeling service. It provides an overview of how SageMaker Ground Truth can be used to label large datasets using both private and public labelers. Key features highlighted include active learning and automatic data labeling capabilities to reduce labeling costs by up to 70%.
The document contains copyright information for Amazon Web Services and discusses machine learning techniques including model training, deployment, and inference. It references tools such as MXNet, SageMaker, IoT, Greengrass, and Kinesis and describes performing tasks like uploading data, training models, deploying models for inference on edge devices, and uploading results.
Run Production Workloads on Spot, Save up to 90% (CMP306-R1) - AWS re:Invent ...Amazon Web Services
Amazon EC2 Spot Instances enable you to use spare EC2 computing capacity— capacity that is often 90% less than On-Demand prices. In this session, learn how to effectively harness Spot Instances for production workloads. We explore application requirements for using Spot Instances, best practices learned from thousands of customers, and the services that make it easy to use. Finally, we run through practical examples of how to use Spot for the most common production workloads, the common pitfalls customers run into, and how to avoid them.
The document contains various logos and text related to Amazon Web Services (AWS). It references different AWS services including EC2, S3, RDS, VPC, Direct Connect, IAM, and others. It also mentions roles within companies that work with AWS such as CTO, CIO, VP of IT, and CISO. Various metrics are presented related to AWS usage and growth. The document appears to be marketing or educational material about AWS services and partnerships.
The document contains various logos and graphics related to Amazon Web Services (AWS) products and services. It discusses computing services (EC2), databases (RDS), analytics (Elasticsearch, EMR), machine learning (SageMaker), serverless (Lambda), containers (ECS, EKS), storage (S3), security (IAM, WAF), developer tools (CodeStar, CodeBuild, CodeDeploy), and migration acceleration programs. The document appears to be marketing or sales material that promotes AWS offerings across various domains like compute, storage, databases, analytics, artificial intelligence, Internet of Things, and more.
Best Practices for Scalable Monitoring (ENT310-S) - AWS re:Invent 2018Amazon Web Services
A successful transition to a modern elastic, containerized, microservice architecture requires automating all things, including your monitoring and alerting infrastructure. In this talk, we share some of the techniques and best practices we learned at New Relic for applying "infrastructure as code" (IaC) techniques to monitoring and alerting during our 10-year journey from a single-region monolithic application to a global multi-region deployment of hundreds of microservices. This session is brought to you by AWS partner, New Relic.
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Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.