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
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
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
In this slides, We explained about Docker Architecture that you more understand it.We explained about Docker concept, undelying technology, what is difference between OS virtualization and Full Virtualization?, what is difference between Docker and lxc?, Things that You should know about docker and....
Docker Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
Christian Kniep from Docker Inc. gave this talk at the Stanford HPC Conference.
"This talk will recap the history of and what constitutes Linux Containers, before laying out how the technology is employed by various engines and what problems these engines have to solve. Afterward, Christian will elaborate on why the advent of standards for images and runtimes moved the discussion from building and distributing containers to orchestrating containerized applications at scale. In conclusion, attendees will get an update on what problems still hinder the adoption of containers for distributed high performance workloads and how Docker is addressing these issues."
Christian Kniep is a Technical Account Manager at Docker, Inc. With a 10 year journey rooted in the HPC parts of the german automotive industry, Christian Kniep started to support CAE applications and VR installations. When told at a conference that HPC can not learn anything from the emerging Cloud and BigData companies, he became curious and was leading the containerization effort of the cloud-stack at Playstation Now. Christian joined Docker Inc in 2017 to help push the adoption forward and be part of the innovation instead of an external bystander. During the day he helps Docker customers in the EMEA region to fully utilize the power of containers; at night he likes to explore new emerging trends by containerizing them first and seek application in the nebulous world of DevOps.
Watch the video: https://wp.me/p3RLHQ-i4X
Learn more: http://docker.com
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com
KubeCon 2017 session with @JasonMcGee: Do you want to increase the density of your Kubernetes workers? We have run some experiments with Kubernetes workers in LXC containers managed by LXD. Come to hear our experience and challenges during the experiment!
Cgroups, namespaces and beyond: what are containers made from?Docker, Inc.
Linux containers are different from Solaris Zones or BSD Jails: they use discrete kernel features like cgroups, namespaces, SELinux, and more. We will describe those mechanisms in depth, as well as demo how to put them together to produce a container. We will also highlight how different container runtimes compare to each other.
Linux Container Brief for IEEE WG P2302Boden Russell
A brief into to Linux Containers presented to IEEE working group P2302 (InterCloud standards and portability). This deck covers:
- Definitions and motivations for containers
- Container technology stack
- Containers vs Hypervisor VMs
- Cgroups
- Namespaces
- Pivot root vs chroot
- Linux Container image basics
- Linux Container security topics
- Overview of Linux Container tooling functionality
- Thoughts on container portability and runtime configuration
- Container tooling in the industry
- Container gaps
- Sample use cases for traditional VMs
Overall, a bulk of this deck is covered in other material I have posted here. However there are a few new slides in this deck, most notability some thoughts on container portability and runtime config.
Docker 1.11 Meetup: Containerd and runc, by Arnaud Porterie and Michael Crosby Michelle Antebi
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
Introdution to Docker (theory and hands on) dbCafé - dbTrentoCristian Consonni
In this presentation I will introduce Docker, an "an open-source project that automates the deployment of applications inside software containers, by providing an additional layer of abstraction and automation of operating-system-level virtualization on Linux." (source: Wikipedia). The presentation has an initial theoretical part and a second more practical, hands on part.
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
In this slides, We explained about Docker Architecture that you more understand it.We explained about Docker concept, undelying technology, what is difference between OS virtualization and Full Virtualization?, what is difference between Docker and lxc?, Things that You should know about docker and....
Docker Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
Christian Kniep from Docker Inc. gave this talk at the Stanford HPC Conference.
"This talk will recap the history of and what constitutes Linux Containers, before laying out how the technology is employed by various engines and what problems these engines have to solve. Afterward, Christian will elaborate on why the advent of standards for images and runtimes moved the discussion from building and distributing containers to orchestrating containerized applications at scale. In conclusion, attendees will get an update on what problems still hinder the adoption of containers for distributed high performance workloads and how Docker is addressing these issues."
Christian Kniep is a Technical Account Manager at Docker, Inc. With a 10 year journey rooted in the HPC parts of the german automotive industry, Christian Kniep started to support CAE applications and VR installations. When told at a conference that HPC can not learn anything from the emerging Cloud and BigData companies, he became curious and was leading the containerization effort of the cloud-stack at Playstation Now. Christian joined Docker Inc in 2017 to help push the adoption forward and be part of the innovation instead of an external bystander. During the day he helps Docker customers in the EMEA region to fully utilize the power of containers; at night he likes to explore new emerging trends by containerizing them first and seek application in the nebulous world of DevOps.
Watch the video: https://wp.me/p3RLHQ-i4X
Learn more: http://docker.com
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com
KubeCon 2017 session with @JasonMcGee: Do you want to increase the density of your Kubernetes workers? We have run some experiments with Kubernetes workers in LXC containers managed by LXD. Come to hear our experience and challenges during the experiment!
Cgroups, namespaces and beyond: what are containers made from?Docker, Inc.
Linux containers are different from Solaris Zones or BSD Jails: they use discrete kernel features like cgroups, namespaces, SELinux, and more. We will describe those mechanisms in depth, as well as demo how to put them together to produce a container. We will also highlight how different container runtimes compare to each other.
Linux Container Brief for IEEE WG P2302Boden Russell
A brief into to Linux Containers presented to IEEE working group P2302 (InterCloud standards and portability). This deck covers:
- Definitions and motivations for containers
- Container technology stack
- Containers vs Hypervisor VMs
- Cgroups
- Namespaces
- Pivot root vs chroot
- Linux Container image basics
- Linux Container security topics
- Overview of Linux Container tooling functionality
- Thoughts on container portability and runtime configuration
- Container tooling in the industry
- Container gaps
- Sample use cases for traditional VMs
Overall, a bulk of this deck is covered in other material I have posted here. However there are a few new slides in this deck, most notability some thoughts on container portability and runtime config.
Docker 1.11 Meetup: Containerd and runc, by Arnaud Porterie and Michael Crosby Michelle Antebi
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
Introdution to Docker (theory and hands on) dbCafé - dbTrentoCristian Consonni
In this presentation I will introduce Docker, an "an open-source project that automates the deployment of applications inside software containers, by providing an additional layer of abstraction and automation of operating-system-level virtualization on Linux." (source: Wikipedia). The presentation has an initial theoretical part and a second more practical, hands on part.
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
Building Distributed Systems without Docker, Using Docker Plumbing Projects -...Patrick Chanezon
Docker provides an integrated and opinionated toolset to build, ship and run distributed applications. Over the past year, the Docker codebase has been refactored extensively to extract infrastructure plumbing components that can be used independently, following the UNIX philosophy of small tools doing one thing well: runC, containerd, swarmkit, hyperkit, vpnkit, datakit and the newly introduced InfraKit.
This talk will give an overview of these tools and how you can use them to build your own distributed systems without Docker.
Patrick Chanezon & David Chung, Docker & Phil Estes, IBM
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
Docker is the world's leading software containerization platform.
This is a comprehensive introduction to Docker, suitable for delivering in introductory meetups to an audience who does not know about docker.
In case you want to deliver this presentation somewhere, kindly drop me a mail at aditya.konarde@gmail.com
You can contact me at:
Connect with me onLinkedIN: https://www.linkedin.com/in/adityakonarde
Add me on Facebook: https://www.facebook.com/Aditya.Konarde
Tweet to me @aditya_konarde
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
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.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
4. Many Targets
Your local development environment
Your coworkers' development environment
Your Q&A team's test environment
Some random demo/test server
The staging server(s)
The production server(s)
Bare metal
Virtual machines
Shared hosting
12. Linux Containers (LXC)
• Units of software delivery (ship it!)
• Run everywhere
– Regardless of kernel version
– Regardless of host distro
– (but container and host architecture must match*)
• Run anything
– If it can run on the host, it can run in the container
– i.e., if it can run on a Linux kernel, it can run
13. What are Linux Containers exactly?
High level approach: it's a lightweight VM
• Own process space
• Own network interface
• Can run stuff as root
• Can have its own /sbin/init
(different from the host)
14. What are Linux Containers exactly?
Low level approach: it's chroot on steroids
• Can also not have its own /sbin/init
• Container = isolated process(es)
• Share kernel with host
15. Containers Implementation History
Different OS Implement Differently
• Unix – chroot (1979)
• FreeBSD – jails
• Solaris 11 – zones
• HP-UX containers
• IBM AIX workload partitions.
• Linux - LXC
16. Docker
• Docker is an open source project
• Systematic way to automate the faster deployment of Linux
applications inside portable containers
• Docker extends LXC with a kernel-and application-level API that
together run processes in isolation: CPU, memory, I/O, network
• Docker containers are created using base images
22. How Docker Works
• You can build Docker images that hold your applications
• You can create Docker containers from those Docker images to run
your applications.
• You can share those Docker images via Docker Hub or your own
registry
23. Docker File
• Like a Makefile (shell script with keywords)
• Extends from a Base Image
• Results in a new Docker Image
• A Docker file lists the steps needed to build an images
• docker build is used to run a Docker file
• Can define default command for docker run, ports to expose, etc
25. Some Docker Cmds
docker run => Create a new container
docker stop => Stop a running container
docker start => Start an existing container
docker restart => Restart an existing container
docker ps => List existing containers
docker inspect => Get low-level container/image information
docker rm => Delete an existing container
docker exec => Run a command in a running container
29. Kubernetes
POD = Group of tightly coupled containers
▸ Various services composing an application
▸ All containers always scheduled on same node
▸ Unique IP address per POD
▸ Do not reschedule themselves
CONTROLLER = Implements the control loop
▸ Ensures desired # of pods are running
32. Kubernetes Services
▸ Logical abstraction for a set of pods
▸ Label selector express which pods implement a given service
▸ Defines a public endpoint similar to a Virtual IP
▸ exposes 1 or more TCP/UDP ports
▸ Forwards requests to pods through DNAT (Destination NAT)
34. Kubernetes LABELS AND SELECTORS
▸ Labels: metadata (key/value pairs) applied to resources
▸ Examples:
environment = { dev | qa | staging | prod}
network_qos = { standard | premium | guaranteed }
35. Containers, docker, and Kubernetes seem to have
Sparked the hope of a universal Cloud application and
Deployment technology.
Conclusion
36. • Containers and Cloud: From LXC to Docker to Kubernetes –DAVID BERNSTEIN
• www.docker.com
• www.kubernetes.com
• P. Mell and T. Grance, The NIST Definition of Cloud Computing: Recommendations
of the National Institute of Standards and Technology, NIST Special Publication
800-145, 2011.
References