Intro- Docker Native for OSX and Windows
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The document discusses Docker on various operating systems including Linux, Windows, and Mac OS X. It provides an overview of using Docker Toolbox versus installing Docker natively. When using Docker natively, it installs the Docker client, engine, compose and other tools directly onto the operating system leveraging native virtualization capabilities for improved performance compared to Docker Toolbox. However, the native versions are currently in beta with some limitations like only allowing one Linux virtual machine on Windows Hyper-V.
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In less than two years Docker went from first line of code to major Open Source project with contributions from all the big names in IT. Everyone is excited, but what's in for me - as a Dev or Ops? In short, Docker makes creating Development, Test and even Production environments an order of magnitude simpler, faster and completely portable across both local and cloud infrastructure. We will start from Docker main concepts: how to create a Linux Container from base images, run your application in it, and version your runtimes as you would with source code, and finish with a concrete example.
Docker module 1
This two-day training covers Docker concepts including installation, working with containers and images, building images with Dockerfiles, and integrating Docker with OpenStack. Day one focuses on the Docker introduction, installation, containers, images, Dockerfiles, and using Nova to run Docker containers as compute instances. It also covers using Glance as a Docker image registry. Day two covers Docker clustering with Kubernetes, networking, Docker Hub, case studies, and the Docker source code. It concludes with developing platforms and running Hadoop on Docker containers.
Similar to Intro- Docker Native for OSX and Windows (20)
OSCON: Advanced Docker developer workflows on Mac OS and Windows
OSCON: Advanced Docker developer workflows on Mac OS and Windows
Advanced Docker Developer Workflows on MacOS X and Windows
Advanced Docker Developer Workflows on MacOS X and Windows
Docker Understanding, What is Docker? Why Docker? How do I containerize somet...
Docker Understanding, What is Docker? Why Docker? How do I containerize somet...
Docker-Hanoi @DKT , Presentation about Docker Ecosystem
Docker-Hanoi @DKT , Presentation about Docker Ecosystem
ContainerDays Boston 2016: "Docker For the Developer" (Borja Burgos)
ContainerDays Boston 2016: "Docker For the Developer" (Borja Burgos)
Import golang; struct microservice - Codemotion Rome 2015
Import golang; struct microservice - Codemotion Rome 2015
Making Developers Productive with Vagrant, VirtualBox, and Docker
Making Developers Productive with Vagrant, VirtualBox, and Docker
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...
Recently uploaded
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
ScyllaDB Tablets: Rethinking Replication
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Containers & AI - Beauty and the Beast!?!
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
MySQL InnoDB Storage Engine: Deep Dive - Mydbops
This presentation, titled "MySQL - InnoDB" and delivered by Mayank Prasad at the Mydbops Open Source Database Meetup 16 on June 8th, 2024, covers dynamic configuration of REDO logs and instant ADD/DROP columns in InnoDB.
This presentation dives deep into the world of InnoDB, exploring two ground-breaking features introduced in MySQL 8.0:
• Dynamic Configuration of REDO Logs: Enhance your database's performance and flexibility with on-the-fly adjustments to REDO log capacity. Unleash the power of the snake metaphor to visualize how InnoDB manages REDO log files.
• Instant ADD/DROP Columns: Say goodbye to costly table rebuilds! This presentation unveils how InnoDB now enables seamless addition and removal of columns without compromising data integrity or incurring downtime.
Key Learnings:
• Grasp the concept of REDO logs and their significance in InnoDB's transaction management.
• Discover the advantages of dynamic REDO log configuration and how to leverage it for optimal performance.
• Understand the inner workings of instant ADD/DROP columns and their impact on database operations.
• Gain valuable insights into the row versioning mechanism that empowers instant column modifications.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Introducing BoxLang : A new JVM language for productivity and modularity!
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Recently uploaded (20)
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Intro- Docker Native for OSX and Windows
- 1. Using Docker Natively Windows & Mac OSX 4th June 2016, Docker for Developer Meetup, @Calm.io, Bangalore Thomas Chacko thomasch@iconnexions.com
- 2. Docker on various development OS LINUX WINDOWS Mac OS X Docker Toolbox Client Native install on i686/Linux Win >7 x64 with HVT/Virt Enabled Mac OS X >10.8 ( /usr/local/bin ) Docker Toolbox app – installs Docker Client, Engine , Compose, Machine, Kitematic, Quickstart Terminal App Engine ,, Installs Oracle Virtual Box 5.x if not present. docker-machine creates boot2docker Linux with ‘default’ VM & installs Docker engine on top Docker Native App Client Native install on i686/Linux Win 10 x64 Prof, Ent, Edu build >10586 with Hyper-V Register for beta invite, InstallDocker.msi (Beta14) installs - Docker Client - Docker Engine - Docker Compose - Docker Machine - Notary >= 2010 model Mac with MMU/EPT, OSX 10.10.3 Yosemite/4GB Ram Register for beta invite, Docker.dmg (Beta13) installs - Docker Client - Docker Engine - Docker Compose - Docker Machine - Notary Engine ,, Win 10 native Hyper-V creates a MobyLinux VM and hosts Docker engine on top creates virtual switch (DockerNAT) on 10.0.75.0/24 prefix Thin xhyve hypervisor customized for Docker workload. Moby Alpha (Alphine Linux) on top hosts Docker engine
- 3. Docker Native – benefits and limitations • One-click/drag install. Native Applications for both OS X and Win. Leveraging native capabilities ( virtualization, network and filesystem ). Sandbox friendly - non root process. Auto updates . Uses OS native hypervisors (h/w virt extensions) and Linux VMs on top optimized for fast boot and stateless operation for containers. Integrates seamlessly in Docker centric dev workflow - faster code iteration. • Efficient volume mounting using native OS file/resource sharing between hosts/container: • osxfs engine, provides near native bind mounting of OS X file system to containers • Shared local Win drive for sharing code and data with containers. • binfmt_misc multi-architecture out-of-box. Support for developing apps with containers running on multiple architecture of x86/x64 linux such as arm, mips, ppc64le, s390x. Build IOT containers e.g. for RPi (ARM ) directly on an Intel Mac. • Networking – ‘nat mode’ : port fwd on windows ( http://docker ) , OS X ( http://localhost ). DNS Server for container. DockerNAT switch on Hyper-V on 10.0.75.0/24 subnet. Experimental VPN (hostnet mode) . Docker networking just as in Toolbox. • Logging and diagnose , console (syslog) for OSX, pinata diagnose/doctor • Limitations : Beta Beta Beta Beta ! . Win Hyper-V cannot run together with VirtualBox or Vmware . Only 1 VM ( no local Docker swarm )
- 4. Demo Time • Preliminary check $ docker info $ docker version • Basic image and container operations $ docker run –it ubuntu bash $ docker run -d -p 80:80 --name webserver nginx $ docker run -it alpine sh • Local fs volume bind $ docker run -d -p 8080:80 -v `pwd`:/usr/share/nginx/html —name web server nginx • Multi-CPU arch support $ docker run resin/armv7hf-debian uname -a $ docker run justincormack/ppc64le-debian uname -a
- 5. Additional slide : docker toolbox vs native log into the Moby alpha VM : screen ~/Library/Containers/com.docker.docker/Data/com.docker.driver.amd64-linux/tty