What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
Observability for Modern Applications (CON306-R1) - AWS re:Invent 2018Amazon Web Services
In modern, microservices-based applications, it’s critical to have end-to-end observability of each microservice and the communications between them in order to quickly identify and debug issues. In this session, we cover the techniques and tools to achieve consistent, full-application observability, including monitoring, tracing, logging, and service mesh.
What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
Observability for Modern Applications (CON306-R1) - AWS re:Invent 2018Amazon Web Services
In modern, microservices-based applications, it’s critical to have end-to-end observability of each microservice and the communications between them in order to quickly identify and debug issues. In this session, we cover the techniques and tools to achieve consistent, full-application observability, including monitoring, tracing, logging, and service mesh.
Local Testing and Deployment Best Practices for Serverless Applications - AWS...Amazon Web Services
Learning Objectives:
- Learn best practices for testing, debugging, and deploying serverless applications
- Understand how to use the AWS Serverless Application Model (AWS SAM) to model and deploy serverless applications
- Learn to use the AWS SAM Local CLI tool to locally test Lambda functions
On Sept. 4, 2010 at XP Matsuri, Kenji Hiranabe talked about the current situation of Agile and XP. Covers history of Patterns and Agile, Lean and recent Kanban movements, and goes back to XP. Explores what was the thing called "XP" with love.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is an upcoming managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
Migrating from Self-Managed Kubernetes on EC2 to a GitOps Enabled EKSWeaveworks
Did your company start down the path of building a cloud native platform using Kubernetes with the goal of enabling developers to innovate faster and increase productivity, but then run into challenges keeping it operating in an optimal way?
In this session, Weaveworks will discuss how to migrate from self-managed Kubernetes on EC2 to a GitOps managed Shared Services Platform (SSP) on EKS. A SSP built on EKS and managed with Weave GitOps provides developers and operators with common workflows to update both applications and infrastructure. With every change in version control, full audit trails are available, and security is enforced. While at the same time enabling easier rollbacks and faster mean-time-to-recovery (MTTR). In short, a Weave GitOps managed SSP increases developer velocity while boosting stability.
How to operate a hybrid Kubernetes architecture, using managed EKS in the AWS Cloud and EKS-Distro on premises.
How to structure your infrastructure repository to efficiently manage multiple teams.
How to use Kubernetes RBAC to provide secure cluster multi-tenancy.
How to use GitOps to promote releases across a hybrid set of independent clusters.
How to accomplish data and operational sovereignty.
I presented some practical aspects of adopting SRE for your organization & how Kubernetes can help in that journey, based on my experience in building the SRE practice at WSO2. The WSO2 SRE team runs the WSO2 Choreo & Asgardeo clouds.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
10+ Deploys Per Day: Dev and Ops Cooperation at FlickrJohn Allspaw
Communications and cooperation between development and operations isn't optional, it's mandatory. Flickr takes the idea of "release early, release often" to an extreme - on a normal day there are 10 full deployments of the site to our servers. This session discusses why this rate of change works so well, and the culture and technology needed to make it possible.
A practical look at the different strategies to deploy an application to Kubernetes. We list the pros and cons of each strategy and define which one to adopt depending on real world examples and use cases.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
Local Testing and Deployment Best Practices for Serverless Applications - AWS...Amazon Web Services
Learning Objectives:
- Learn best practices for testing, debugging, and deploying serverless applications
- Understand how to use the AWS Serverless Application Model (AWS SAM) to model and deploy serverless applications
- Learn to use the AWS SAM Local CLI tool to locally test Lambda functions
On Sept. 4, 2010 at XP Matsuri, Kenji Hiranabe talked about the current situation of Agile and XP. Covers history of Patterns and Agile, Lean and recent Kanban movements, and goes back to XP. Explores what was the thing called "XP" with love.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is an upcoming managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
Migrating from Self-Managed Kubernetes on EC2 to a GitOps Enabled EKSWeaveworks
Did your company start down the path of building a cloud native platform using Kubernetes with the goal of enabling developers to innovate faster and increase productivity, but then run into challenges keeping it operating in an optimal way?
In this session, Weaveworks will discuss how to migrate from self-managed Kubernetes on EC2 to a GitOps managed Shared Services Platform (SSP) on EKS. A SSP built on EKS and managed with Weave GitOps provides developers and operators with common workflows to update both applications and infrastructure. With every change in version control, full audit trails are available, and security is enforced. While at the same time enabling easier rollbacks and faster mean-time-to-recovery (MTTR). In short, a Weave GitOps managed SSP increases developer velocity while boosting stability.
How to operate a hybrid Kubernetes architecture, using managed EKS in the AWS Cloud and EKS-Distro on premises.
How to structure your infrastructure repository to efficiently manage multiple teams.
How to use Kubernetes RBAC to provide secure cluster multi-tenancy.
How to use GitOps to promote releases across a hybrid set of independent clusters.
How to accomplish data and operational sovereignty.
I presented some practical aspects of adopting SRE for your organization & how Kubernetes can help in that journey, based on my experience in building the SRE practice at WSO2. The WSO2 SRE team runs the WSO2 Choreo & Asgardeo clouds.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
10+ Deploys Per Day: Dev and Ops Cooperation at FlickrJohn Allspaw
Communications and cooperation between development and operations isn't optional, it's mandatory. Flickr takes the idea of "release early, release often" to an extreme - on a normal day there are 10 full deployments of the site to our servers. This session discusses why this rate of change works so well, and the culture and technology needed to make it possible.
A practical look at the different strategies to deploy an application to Kubernetes. We list the pros and cons of each strategy and define which one to adopt depending on real world examples and use cases.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
Invitation to development tools オープン系開発ツールへのいざないSatoru Yoshida
Git, Docker, Kubernetes, Jenkins などのキーワードを耳にされているかとおもいます。しかしながら、取り組みを始めようとしても、心理的なハードルがあるかもしれません。
このセッションではプログラム開発現場で使用されることの多いツール群、およびイグアスでお取扱いのある製品を紹介します。 You may have heard keywords such as Git, Docker, Kubernetes, Jenkins.
However, there may be psychological hurdles when trying to get started. In this session, we will introduce the tools that are often used in the program development field and the products that Iguazu handles.
【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。
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.