Developing applications on Amazon Web Services (AWS) or moving your business into the cloud is more straightforward than you think.
This introductory session covers some of the most popular Amazon Web Services: Amazon Elastic Compute Service (EC2), Amazon Simple Storage Service (S3), Amazon CloudFront, Amazon Elastic Block Storage (EBS) and Amazon Relational Database Service (RDS).
Developing applications on Amazon Web Services (AWS) or moving your business into the cloud is more straightforward than you think.
This introductory session covers some of the most popular Amazon Web Services: Amazon Elastic Compute Service (EC2), Amazon Simple Storage Service (S3), Amazon CloudFront, Amazon Elastic Block Storage (EBS) and Amazon Relational Database Service (RDS).
Deep Dive on the AWS Storage Gateway - April 2017 AWS Online Tech TalksAmazon Web Services
- Learn about the benefits and capabilities of AWS Storage Gateway
- Learn how to get started with AWS Storage Gateway
AWS Storage Gateway provides file, volume, and tape storage in AWS through standard protocols which integrate seamlessly into your on-premises and in-cloud environments. This tech talk covers a deep dive to the main features and capabilities of AWS Storage Gateway, and patterns for using the service to accelerate your adoption of hybrid storage. With stories from real-life customer deployments, we’ll show the benefit of Storage Gateway for workloads such as backup and archive, disaster recovery, tiered storage, and cloud bursting.
This webinar discussed strategies to help save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and your reduce costs with AWS.
This webinar dived into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. It also discussed how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
대용량 데이터베이스의 클라우드 네이티브 DB로 전환 시 확인해야 하는 체크 포인트-김지훈, AWS Database Specialist SA...Amazon Web Services Korea
고객사 A는 하루 30억 트랜잭션과 연 750TB의 데이터베이스를 온프레미스 환경에서 상용 데이터베이스를 이용하여 운영 중입니다. 또한 매일 대용량의 배치가 발생하고 실시간으로 대량의 조회가 발생하는 미션 크리티컬 시스템입니다. 고객사 A와 함께 클라우드 환경에서 동일한 워크로드의 수행이 가능한지 여부를 검증하는 Feasiblity Pilot 프로젝트를 진행하였고 여기서의 레슨런을 공유합니다. 마이그레이션 도중 고객 IT팀은 On-premise 운영 모델에서 클라우드 운영 모델로 전환되어야 합니다. 전환 도중에 ITIL을 클라우드, 애자일, DevOps 기반 역량과 프로세스에 매핑해야 합니다. 해당 세션에서는 클라우드 운영 모델로 원활한 전환을 도와주는 CEE (Cloud Enablement Engine)의 작동 원리 및 적용 방식을 살펴보고자 합니다.
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...Amazon Web Services
AWS Glue provides a horizontally scalable platform for running ETL jobs against a wide variety of data sources. In this builder's session, we cover techniques for understanding and optimizing the performance of your jobs using AWS Glue job metrics. Learn how to identify bottlenecks on the driver and executors, identify and fix data skew, tune the number of DPUs, and address common memory errors.
With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that are available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
Speakers:
Matt McClean, AWS Solutions Architect
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Speaker:
Shaun Pearce, AWS Solutions Architect
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
마이크로서비스 아키텍처를 설계하면서 경험할 수 있는 공통적인 문제들에 대한 해결책으로 디자인 패턴을 사용합니다. 본 세션에서는 신뢰성과 확장성, 가용성, 성능을 위한 클라우드 네이티브 애플리케이션의 주요 디자인 패턴을 소개하고 AWS 서비스를 사용하여 실제 적용 가능한 참조 아키텍처를 알아봅니다.
Using Performance Insights to Optimize Database Performance (DAT402) - AWS re...Amazon Web Services
Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.
Deep Dive on the AWS Storage Gateway - April 2017 AWS Online Tech TalksAmazon Web Services
- Learn about the benefits and capabilities of AWS Storage Gateway
- Learn how to get started with AWS Storage Gateway
AWS Storage Gateway provides file, volume, and tape storage in AWS through standard protocols which integrate seamlessly into your on-premises and in-cloud environments. This tech talk covers a deep dive to the main features and capabilities of AWS Storage Gateway, and patterns for using the service to accelerate your adoption of hybrid storage. With stories from real-life customer deployments, we’ll show the benefit of Storage Gateway for workloads such as backup and archive, disaster recovery, tiered storage, and cloud bursting.
This webinar discussed strategies to help save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and your reduce costs with AWS.
This webinar dived into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. It also discussed how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
대용량 데이터베이스의 클라우드 네이티브 DB로 전환 시 확인해야 하는 체크 포인트-김지훈, AWS Database Specialist SA...Amazon Web Services Korea
고객사 A는 하루 30억 트랜잭션과 연 750TB의 데이터베이스를 온프레미스 환경에서 상용 데이터베이스를 이용하여 운영 중입니다. 또한 매일 대용량의 배치가 발생하고 실시간으로 대량의 조회가 발생하는 미션 크리티컬 시스템입니다. 고객사 A와 함께 클라우드 환경에서 동일한 워크로드의 수행이 가능한지 여부를 검증하는 Feasiblity Pilot 프로젝트를 진행하였고 여기서의 레슨런을 공유합니다. 마이그레이션 도중 고객 IT팀은 On-premise 운영 모델에서 클라우드 운영 모델로 전환되어야 합니다. 전환 도중에 ITIL을 클라우드, 애자일, DevOps 기반 역량과 프로세스에 매핑해야 합니다. 해당 세션에서는 클라우드 운영 모델로 원활한 전환을 도와주는 CEE (Cloud Enablement Engine)의 작동 원리 및 적용 방식을 살펴보고자 합니다.
Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT326) - AWS re:Inv...Amazon Web Services
AWS Glue provides a horizontally scalable platform for running ETL jobs against a wide variety of data sources. In this builder's session, we cover techniques for understanding and optimizing the performance of your jobs using AWS Glue job metrics. Learn how to identify bottlenecks on the driver and executors, identify and fix data skew, tune the number of DPUs, and address common memory errors.
With AWS, you can choose the right storage service for the right use case. This session shows the range of AWS choices - object storage to block storage - that are available to you. We include specifics about real-world deployments from customers who are using Amazon S3, Amazon EBS, Amazon Glacier, and AWS Storage Gateway.
Speakers:
Matt McClean, AWS Solutions Architect
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Speaker:
Shaun Pearce, AWS Solutions Architect
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
마이크로서비스 아키텍처를 설계하면서 경험할 수 있는 공통적인 문제들에 대한 해결책으로 디자인 패턴을 사용합니다. 본 세션에서는 신뢰성과 확장성, 가용성, 성능을 위한 클라우드 네이티브 애플리케이션의 주요 디자인 패턴을 소개하고 AWS 서비스를 사용하여 실제 적용 가능한 참조 아키텍처를 알아봅니다.
Using Performance Insights to Optimize Database Performance (DAT402) - AWS re...Amazon Web Services
Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.
2024/1/25に開催した「Salesforce Developer Group Tokyo」のMeetupで発表した資料です。
https://trailblazercommunitygroups.com/events/details/salesforce-salesforce-developer-group-tokyo-japan-presents-onrainkai-cui-salesforce-developers-meetup-32-xin-chun-ltda-hui/
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。