This document discusses containers and Docker. It begins with an overview of hypervisors and how containers provide the benefits of virtualization without hypervisor overhead. It then defines containers and how Docker is an open-source container technology built on Linux containers. The rest of the document defines Docker terminology and provides examples of Docker use cases like CI/CD and DevOps. It concludes with an agenda item for a demo and discussion.
Michigan IT Symposium 2017 - Container BOFJeffrey Sica
Development with Containers
Moderator: Jeffery Sica
Orchestration and Management with Containers
Moderator: Bob Killen
The Container has revolutionized how many industries and enterprises develop and deploy software and services. While the promise of containers to improve reliability, reproducibility and sharing application is helping to drive this adoption, there are still questions and concerns that are holding back broader adoption. In this BOF we will provide an opportunity for the Michigan IT community to engage with the local leaders in this area that are developing solutions and promoting the container model in their units
This BoF has been broken into two high-level topics: Development with Containers that is geared toward developers working with and implementing containerized applications, and Orchestration and Management with Containers that is geared toward sysadmins that are hosting and maintaining production-level containers. There will be an overview followed by an interactive period where the audience can ask questions of our experts and share their experiences with others. A key goal of these sessions is to understand and develop an agenda for solving questions and concerns that are holding back broader adoption.
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
Learn, Collaborate & Dockerize. Docker is an open platform that helps you build, ship and run applications anytime and anywhere.
Join Docker Jaipur:
Docker Page: events.docker.com/jaipur
Telegram Group: t.me/dockerjaipur
Twitter: @JaipurDocker
Michigan IT Symposium 2017 - Container BOFJeffrey Sica
Development with Containers
Moderator: Jeffery Sica
Orchestration and Management with Containers
Moderator: Bob Killen
The Container has revolutionized how many industries and enterprises develop and deploy software and services. While the promise of containers to improve reliability, reproducibility and sharing application is helping to drive this adoption, there are still questions and concerns that are holding back broader adoption. In this BOF we will provide an opportunity for the Michigan IT community to engage with the local leaders in this area that are developing solutions and promoting the container model in their units
This BoF has been broken into two high-level topics: Development with Containers that is geared toward developers working with and implementing containerized applications, and Orchestration and Management with Containers that is geared toward sysadmins that are hosting and maintaining production-level containers. There will be an overview followed by an interactive period where the audience can ask questions of our experts and share their experiences with others. A key goal of these sessions is to understand and develop an agenda for solving questions and concerns that are holding back broader adoption.
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
Learn, Collaborate & Dockerize. Docker is an open platform that helps you build, ship and run applications anytime and anywhere.
Join Docker Jaipur:
Docker Page: events.docker.com/jaipur
Telegram Group: t.me/dockerjaipur
Twitter: @JaipurDocker
Virtualization, Containers, Docker and scalable container management servicesabhishek chawla
In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh
This presentation is based on http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7164727&punumber%3D7153311%26filter%3DAND(p_IS_Number%3A7164643)%26pageNumber%3D3
CoreOS: The Inside and Outside of Linux ContainersRamit Surana
CoreOS is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many CoreOS machines.
Structured Container Delivery by Oscar Renalias, AccentureDocker, Inc.
With tools like Docker Toolbox, the entry barrier to Docker and containers is rather low. However, it takes a lot more to design, build and run an entire container platform, at scale, for production applications.
This talk will focus on why it is important to have a well-defined reference model for building container platforms that guides container engineers and architects through the process of identifying platform concerns, patterns, components as well as the interactions between them in order to deliver a set of platform capabilities (service discovery, load balancing, security, and others) to support containerized applications using existing tooling.
As part of this session will also see how a container architecture has enabled real projects in their delivery of container platforms.
A walkthrough of what is Containers and why we need it in large scale software projects. Specially in corporate environments where automation and quality is critical.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
There are multiple testing strategies you can apply to test #Docker containers. In these slides, I’ll highlight some of them, discussing benefits and drawbacks of each approach.
This is the companion presentation for my blog post about #Docker #testing: https://goo.gl/IEQLKx
Virtualization, Containers, Docker and scalable container management servicesabhishek chawla
In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh
This presentation is based on http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7164727&punumber%3D7153311%26filter%3DAND(p_IS_Number%3A7164643)%26pageNumber%3D3
CoreOS: The Inside and Outside of Linux ContainersRamit Surana
CoreOS is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many CoreOS machines.
Structured Container Delivery by Oscar Renalias, AccentureDocker, Inc.
With tools like Docker Toolbox, the entry barrier to Docker and containers is rather low. However, it takes a lot more to design, build and run an entire container platform, at scale, for production applications.
This talk will focus on why it is important to have a well-defined reference model for building container platforms that guides container engineers and architects through the process of identifying platform concerns, patterns, components as well as the interactions between them in order to deliver a set of platform capabilities (service discovery, load balancing, security, and others) to support containerized applications using existing tooling.
As part of this session will also see how a container architecture has enabled real projects in their delivery of container platforms.
A walkthrough of what is Containers and why we need it in large scale software projects. Specially in corporate environments where automation and quality is critical.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
There are multiple testing strategies you can apply to test #Docker containers. In these slides, I’ll highlight some of them, discussing benefits and drawbacks of each approach.
This is the companion presentation for my blog post about #Docker #testing: https://goo.gl/IEQLKx
Docker introduction.
References : The Docker Book : Containerization is the new virtualization
http://www.amazon.in/Docker-Book-Containerization-new-virtualization-ebook/dp/B00LRROTI4/ref=sr_1_1?ie=UTF8&qid=1422003961&sr=8-1&keywords=docker+book
A step by step tutorial about installing and using Docker for your Development(Dev) Environment. After the end of this tutorial, you should be able to use Docker for your day-day development work.
The almost same tutorial is available in text format on my blog. Visit: http://bit.ly/2Gijqgk
These slides were discussed in a youtube video here:- http://bit.ly/2Gr2Qeb
Brief overview of the Docker eco system, the paradigm change it brings to development and operations processes. While docker has lots of potential its still working to mature into a viable production system that has proved itself secure, stable, and viable.
Presentation about docker from Java User Group in Ostrava CZ (23th of November 2015). Presented by Martin Damovsky (@damovsky).
Demos are available at https://github.com/damovsky/jug-ostrava-docker
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
6. DOCKER
• Open Source Container Technology
released in 2013 from dotcloud.com
• Built on top of LXC (Linux Containers)
• Relies on Linux Kernel Features
• Beta for Windows and Mac OS now
8. DOCKER TERMINOLOGY
• Docker engine: The process running on your production machine that sits between your running Docker
application and the underlying operating system and hardware.
• Dockerfile: A text file that contains the instructions (or commands) used to build a Docker image.
• Docker image: The result of building a Dockerfile and executing the Dockerfile's commands. It is
constructed from a root operating system, installed applications, and commands executed in such a way
that it can run your application. A Docker image serves as the basis for Docker containers and is the static
template from which they are created.
• Docker container: A runtime instance of a Docker image. Whereas the Docker image is like a template
(built from a Dockerfile that contains the correct operating system, applications, and commands used to
build the image), the container is an actual running instance of that image.
• Docker host: A physical or virtual machine that runs the Docker engine to host your Docker container's
DockerHub.
• DockerHub: The repository that hosts Docker images. Think of a DockerHub being to Docker images
what GitHub is to Git repositories: a central location for hosting and serving up Docker images.