Advancements in Kubernetes Workload Identity for Azure

Fast-growing startups usually face a common set of challenges when employing machine learning. Data scientists are expected to work on new products and develop new models as well as iterate on existing ones. Once in production, models should be continuously monitored and regularly maintained as the infrastructure evolves. Before too long, data scientists end up spending most of their time doing maintenance and firefighting of existing models instead of creating new ones. At GetYourGuide, we faced these challenges and decided to think about machine learning development holistically, which led us to our machine learning platform. Our platform uses MLflow to keep track of our machine learning life-cycle and ease the development experience. To integrate our models into our production environment, we also need to deal with additional requirements like API specification, SLOs and monitoring. To empower our data scientists, we have built a templating system that takes care of the heavy lifting of going to production, leveraging software engineering tools and ML-specific ones like BentoML. In this talk we will present: – Our previous approaches for deploying models and their tradeoffs – Our data science and platform principles – The main functionalities of our platform – A live demo to create a new service – Our learnings in the process

1. The document introduces Cisco's Software Defined Data Center (SDDC) technology strategy. It discusses the trends of BiModal IT and the emergence of Mode 1 and Mode 2 IT. 2. It describes the SDDC architecture including Software Defined Computing (SDC) using Cisco UCS, Software Defined Storage (SDS) using Cisco HyperFlex, and Software Defined Networking (SDN) using Cisco ACI. 3. Case studies show that implementing SDDC with SDx technologies from Cisco can improve agility, reduce costs, and help organizations deploy both Mode 1 and Mode 2 applications.

[Agenda] *토크쇼 주제: Cloud Native를 위한 컨테이너 플랫폼 구현과 활용 이야기 1. 시장 및 기술동향 소개 & Container & Kubernetes 소개 2. Red Hat OpenShift를 왜 써야 할까요? 3. OpenShift Infra 구성 방안은 어떻게 되나요? 4. OpenShift와 Kubernetes의 주요 차이점은 무엇일까요? 5. 완전한 오픈소스 기반 OpenShift로 PaaS를 빠르게 구축이 가능 하나요? 6.컨테이너플랫폼의 운영을 효율적으로 하기위한 표준���에는 어떤 것이 필요할까요? 7. Red Hat OpenShift를 이용하여 기존의 시스템을 마이그레이션 하는 방법은 무엇인가요? 8. 개발자와 운영자가 일을 수월하게 할 수 있도록 도움을 준다고 하는데 어떠한 부분인가요? 9. Red Hat OpenShift 구축 성공 사례가 있나요?

Azure Storage - features and characteristics. Full description at https://programowanienaostro.pl/wystapienia/

This document provides best practices for architecting applications in the cloud based on Amazon Web Services (AWS). It discusses 6 key practices: 1) Design for failure and nothing fails, 2) Build loosely coupled systems, 3) Implement elasticity, 4) Build security into every layer, 5) Think parallel, and 6) Leverage many storage options. Specific AWS services are recommended to implement each practice, such as using auto-scaling, SQS queues, and different storage services like S3, EBS, and RDS depending on data needs. The document aims to help architects take advantage of scalability, fault-tolerance, and other cloud attributes when building applications on AWS.

Micro Service Architecture (MSA)의 특징과 구현하는 방법을 간략히 소개합니다. Nginx 에서 소개한 MSA 구조를 담고 있으며 API Gateway, Service Discovery Pattern 등의 설명이 있습니다.

CloudStack is an open source cloud computing platform that allows users to manage their infrastructure as an automated system. It provides self-service access to computing resources like servers, storage, and networking via a web interface. CloudStack supports multiple hypervisors and public/private cloud deployment strategies. The core components include hosts, primary storage, clusters, pods, networks, secondary storage, and zones which are managed by CloudStack servers.

Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks. Productive Reduce time to market, by delivering features faster with over 100 end-to-end services. Hybrid Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack. Intelligent Create intelligent apps using powerful data and artificial intelligence services. Trusted Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.

4차 산업 혁명과 함께 화두가 되고 있는 스마트 팩토리를 클라우드플랫폼을 활용하여 어떻게 구현할 수 있는 지 소개하고 실제 활용 사례를 소개합니다. 마지��으로, 네이버클라우드플랫폼에서는 어떤 클라우드 서비스를 제공하고 있는지 안내해드립니다. | Introduce how smart factory, which has become a hot topic in conjunction with the 4th Industrial Revolution, can be implemented using cloud platforms and introduce practical use cases. Finally, Naver Cloud Platform will show you what kind of cloud services we are offering.