This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
The document discusses the transformation in cloud computing, emphasizing a shift towards service interfaces for communication among teams, and the necessity for transparency and sharing of data by default. It highlights a focus on continuous innovation, agile practices, and the importance of supporting various industry sectors while ensuring app portability across clouds. The vision includes a diverse and collaborative developer ecosystem that encourages practical experience sharing.
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
The document discusses the transformation in cloud computing, emphasizing a shift towards service interfaces for communication among teams, and the necessity for transparency and sharing of data by default. It highlights a focus on continuous innovation, agile practices, and the importance of supporting various industry sectors while ensuring app portability across clouds. The vision includes a diverse and collaborative developer ecosystem that encourages practical experience sharing.
Phil Estes is a senior technical staff member at IBM who is involved in open source software including Linux, containers, and cloud technologies. He discusses his work contributing to Docker and the Open Container Initiative (OCI). The OCI is a Linux Foundation project that aims to create open standards for container runtimes and image formats. Estes helped bring features like user namespaces to Docker and helped design the multi-platform image specification. He also discusses runc, an OCI-compliant runtime that is used as the backend for Docker and CloudFoundry containers. Estes believes runc can continue to drive innovations in container features and implementations on different platforms and architectures.
Building Distributed Systems without Docker, Using Docker Plumbing Projects -...Patrick Chanezon
The document discusses the development and features of Docker as a platform for building and orchestrating distributed systems, highlighting its use of system isolation, container technology, and built-in orchestration capabilities. It emphasizes the importance of a container as a service (CaaS) strategy for developers and operators, along with Docker's role in standardizing container runtime through initiatives like OCI. Additionally, it introduces Infrakit, a toolkit for managing declarative and self-healing infrastructure, and outlines various Docker presentations and tutorials scheduled for a conference.
Devoxx 2016: A Developer's Guide to OCI and runCPhil Estes
The document serves as a developer's guide to the Open Container Initiative (OCI) and the runc tool, outlining the organization's open governance structure for container runtimes and image formats. It provides details about OCI's specifications, including current member companies and release information for both runtime and image specifications. Additionally, it explores the integration of runc with Docker and highlights ongoing developments and future directions for OCI and runc technology implementations.
The document discusses a software framework that facilitates cross-platform communication through a remote procedure call mechanism, utilizing an interface definition language (IDL) for service definitions. It evaluates the implementation of a model-driven engineering (MDE) approach compared to traditional compiler methods, highlighting productivity, readability, and maintainability benefits. The findings emphasize the complexity of MDE technologies, their adoption challenges, and the need for further evaluation on subjective qualities of the generated code.
Go is an open source programming language designed by Google to be concurrent, garbage collected, and efficient. It has a simple syntax and is used by Google and others to build large distributed systems. Key features include garbage collection, concurrency with goroutines and channels, interfaces without inheritance, and a large standard library.
Thesis: Slicing of Java Programs using the Soot Framework (2006) Arvind Devaraj
The thesis presents a static slicing tool for sequential Java programs, implemented using the Soot framework, which is designed to process program slices that affect specific variable values at designated points of interest. It highlights the challenges of slicing object-oriented programs due to features like inheritance and polymorphism, and proposes an improved technique for intraprocedural points-to analysis. The document includes performance results for the slicing tool and discusses its applications in program understanding, testing, and debugging.
Container Microservices: A Holistic Look at Managing Containers for Microservices discusses containers and microservices. It explores Docker and Cloud Foundry for managing containers and describes their workflows. It also explains Diego Cell and Brain, which are components of Cloud Foundry that manage containers and applications on cells.
A singleton class in Java allows only one instance of the class to be created, which is beneficial for resource management and performance. It can be implemented using private constructors and public factory methods, with two common approaches for creation. The first approach creates the instance at the beginning, while the second creates it only upon the first request, thereby optimizing memory usage.
The document discusses microservices and the use of Golang for building microservices. Some key points:
- Microservices are small, independent services that work together, organized around business capabilities. Golang is well-suited for building microservices due to its static compilation, concurrency features, and standard library support for web development.
- The document discusses why the authors chose Golang for microservices, highlighting Golang's static compilation, lack of external dependencies, easy concurrency with goroutines, and standard library support for networking, JSON, protocols, and more.
- It provides examples of building simple microservices in Golang, including a hello world service and a basic HTTP server, and discusses how middleware
Modern Web 2016: Using Golang to build a smart IM Bot Evan Lin
Evan Lin presents on using Golang to build smart instant messaging bots. The key points covered include:
1. What instant messaging bots are and how they work using a webhook to an HTTPS server.
2. Why Golang is a good choice for building bots, highlighting its speed, concurrency, and tooling.
3. Steps to build bots for Line and Facebook Messenger, deploying examples to Heroku for easy hosting.
4. Using natural language processing with LUIS to build smarter bots that can understand intent and entities.
5. The future of bots interacting directly without APIs and their potential uses for customer service and businesses.
Diving Through The Layers: Investigating runc, containerd, and the Docker eng...Phil Estes
The document outlines the architecture and evolution of Docker and its components, including containerd and runc, highlighting the separation of concerns implemented to improve container management. It explains how these components enhance Docker's functionality, promote interoperability, and outline their roles in container lifecycle management. Lastly, it touches on the future developments planned for these technologies and their integration with orchestration systems like Kubernetes.
Qurami is a free app that helps users queue for services at various venues in real-time, providing venue details and ticket status updates. The document discusses a microservice architecture developed in Golang for deploying applications, highlighting features like hot-swappable components and scalable architecture. Additionally, it outlines the development process, including interface definitions and implementation details for the deployer microservice.
The document provides a comprehensive overview of LLVM, detailing its components such as front-ends, middle-ends, back-ends, libraries, and tools. It discusses the integration and optimization processes involved in converting C/C++ code to intermediate representation (IR) and the subsequent stages of instruction selection and management. Additionally, it compares LLVM with GNU tools, outlines various libraries, and mentions performance aspects of the LLVM linker (lld) and debugger (lldb).
The document discusses the evolution of the ARM architecture, particularly focusing on the transition from ARMv7 to ARMv8, emphasizing improved performance and security features. It provides detailed information on memory layout, compatibility support, and the Linux kernel's integration with ARM64 architecture. Additionally, it includes practical steps for building a Debian root filesystem on ARM64 and addresses various programming considerations for developers transitioning from ARM32 to ARM64.
Linux-wpan: IEEE 802.15.4 and 6LoWPAN in the Linux Kernel - BUD17-120Linaro
The document discusses the linux-wpan project, which supports IEEE 802.15.4 and 6LoWPAN in Linux, enabling low-power and low-rate wireless networking. It outlines the project's motivations, hardware compatibility, configuration, and communication protocols used, as well as the current status and community engagement in development. Future improvements and comparisons with other operating systems like Contiki and RIOT are also highlighted, emphasizing Linux’s potential as a border router for networks using these standards.
[Golang] 以 Mobile App 工程師視角,帶你進入 Golang 的世界 (Introduction of GoLang) Johnny Sung
本文介绍了 Go 语言(Golang)的基本特性及其在现代软件开发中的应用,强调了 Go 的简洁性、高效性和并发处理能力。文中还概述了 Go 语言的结构(如数组、切片、结构体)、通道、并发控制等关键概念,以及相关的开发工具和框架。资料来源包括多个外部链接和参考文献,辅助读者更深入了解 Go 语言及其生态系统。
This document summarizes machine learning concepts in Spark. It introduces Spark, its components including SparkContext, Resilient Distributed Datasets (RDDs), and common transformations and actions. Transformations like map, filter, join, and groupByKey are covered. Actions like collect, count, reduce are also discussed. A word count example in Spark using transformations and actions is provided to illustrate how to analyze text data in Spark.
该文档探讨了微服务架构的崛起原因及其与单体架构的比较,分析了技术应用场景和系统开发维度的不同特性。微服务架构通过高交付频率和短迭代周期提高开发效率,适用于需求不稳定或需要兼容不同技术的项目。implementation and deployment methods, including the use of Kubernetes and automated tests, are discussed to support smooth transitions to microservices.
This document provides an overview of computer vision and OpenCV. It discusses topics like optical character recognition, face detection, object recognition, shape capture and motion capture, self-driving cars, interactive games, industrial robots, and medical imaging. It then covers OpenCV concepts like image manipulation, transformations, edge detection, feature detection, histogram of oriented gradients, object tracking, and face detection. Code examples are provided for tasks like webcam sketching, contour detection, line detection, and facial merging.
This document contains notes from a presentation or workshop on Django and Python web development. It discusses setting up a Django project and various apps, including creating models, views, templates, and interacting with the admin site. It also covers using the Django shell, adding forms and generic views, and building several example apps, such as a blog, CMS, and photo album app.
This document introduces PyOpenCL and provides examples for using it to perform GPU computing via Python. It begins with an overview of GPU computing and OpenCL. It then discusses setting up the PyOpenCL environment on different platforms like Windows, MacOS, and Linux. Examples shown include printing "Hello Taiwan" on the GPU, performing arithmetic operations on arrays in parallel, and image processing tasks like grayscale conversion and blurring using OpenCL data types and memory models. Atomic functions and synchronization are also covered.
1. The document summarizes the topics covered in an advanced Docker workshop, including Docker Machine, Docker Swarm, networking, services, GitLab integration, Raspberry Pi IoT applications, Docker Compose testing, and Moby/LinuxKit.
2. It provides instructions on using Docker Machine to create a Swarm cluster on Azure VMs and initialize a Swarm manager.
3. Exercises are presented on Docker networking, creating and scaling services, rolling updates, stacks, and Swarm with MySQL and WordPress.
廣宣學堂: R programming for_quantitative_finance_0623 Paul Chao
This document provides an overview of using R for quantitative finance. It discusses R's history and popularity, basics of R including vectors, matrices, data frames and lists. It also covers exploratory time series analysis, stock trading strategies, correlation analysis, ARIMA modeling and forecasting, and querying the Bitcoin blockchain with R packages. The document is intended to introduce analysts to capabilities of the R programming language for financial applications.
This document provides an overview of Docker concepts and tools for beginners. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. Tools in the Docker ecosystem such as Docker Engine, Docker CLI, Docker Hub, Docker Compose, and networking/volume commands.
3. Examples of using Docker Engine, Docker Hub for images, networking, volumes and deploying images to Azure PaaS.
4. How to use Docker Compose to define and run multi-container applications.
9. Google 遇到的問題
大量的 C++ 代码,同時引入 Java 和 Python
成千上萬的工程师
數百萬的程式碼
分散式編譯系統
數百萬的伺服器
10. Google 痛點
編譯非常慢
沒用的相依性檔案
工程師只用了一個語言一小部分
程式碼難以維護 (可讀性差,⽂文件不清楚)
部署時間越來越長
交叉編譯困難
11. Go 語言特性
沒有物件導向 (無繼承特性)
強制類型
Function 和 Method
没有錯誤處理
⽤用字⾸首來區別可否存取
不⽤用的 Import 或變數會引起編譯錯誤
完整的標準函式
支援 UTF-8 格式
12. Go at Google: Language
Design in the Service of
Software Engineering
https://talks.golang.org/2012/splash.article