This document discusses containers in cloud computing. It begins with explaining why containers are useful for complex systems that need to deploy the same payloads across multiple environments like QA, staging and production servers. It then defines containers as isolated environments similar to virtual machines but with less overhead. The document provides a history of container technologies over time like chroot, LXC and Docker. It describes Docker as open source software that builds on LXC and provides a portable format and runtime for deploying applications in containers with optimized layers and dependency management. Finally, it introduces container orchestration tools like Docker Swarm for managing and provisioning multi-container applications across clusters with services like discovery, upgrades and load balancing.
Containerization with docker syllabus wise ..
Unit-1 Introduction of Docker Contact Hours: 20
Introduction of Docker
Docker, Containerization, Uses of container Virtualization, Difference between Docker and Virtual Machines Docker Architecture, Features, Components of Docker, Advantages of Docker, Advantages of Containerization over Virtualization
Experiment no. 1.1 1. Install Docker on Linux or windows
2. Using docker CLI with commands.
Installation of Docker
Installation of Docker, Docker Hub, Difference between Docker Image and Container, Containers and shell, Creating Docker images, backing up a Docker Container, Restoring a Docker Container. Deploy, Login, Exit Container. List, Start, Stop and Restart Containers. Deleting Containers.
Experiment no. 1.2 Pulling Docker Images from Docker Hub
Chapter 1.3 Data Volumes and system Management
Creating and mounting data volumes, Defining Volumes in images, Pruning unused resources.
Experiment no. 1.3 Deploying Docker images as Stateless Containers.
Experiment no. 1.4 Managing Containers with the Docker CLI
Unit-2 Docker components Contact Hours: 20
Docker Compose & Docker Swarm Docker Compose and Compose installation, Introduction to Docker Swarm, Create Swarm, Maintain Swarm, Deploy Services to Swarm, Updates to Services, Managing Swarm Services.
Experiment no. 2.1 Understanding the Docker file for Customizing Images
Docker Files Docker Files, Building Files, Public repositories, Private Registry, Building Web server Docker file, instruction commands, Container Linking
Experiment no. 2.1 Building a Custom Docker Image for a Web Application
Experiment no. 2.3 Maintaining State with Docker Volumes
Docker Storage, ring and Kubernetes Contact Hours:20
How to manage data in docker, Types of storage available in docker, Multi Container environment, Docker volumes, Types of Volumes
Working with Docker Compose
Container Network model, Default Bridge Network, User Created Bridge, Host Network, Docker Cloud, Docker Log, Docker Compose, Continuous Integrations tools, Kubernetes architecture, Kubernetes Components, Working of Kubernetes.
Creating a Private Docker Image Repository
Introduction of kubernetes, Comparison of Docker and Kubernetes, Configuration of minikube on linux OS, Installing Kubernetes using the Docker Client Running first app on Kubernetes.
Cleaning Up Old Containers and Docker Images
This document provides an overview of Docker containers and their benefits. It discusses how containers provide isolation and portability for applications compared to virtual machines. The document outlines the history and growth of container technologies like Docker. It then covers how to build, ship, and run containerized applications on platforms like Docker, OpenShift, and Kubernetes. Use cases discussed include application development, modernization, and cloud migrations.
This document discusses Docker and its ecosystem. It provides a history of container technologies from chroot jails in 1979 to modern tools like Docker, Kubernetes, containerd, and RunC. It describes the architecture and components of Docker including how it leverages containerd and RunC. Finally, it discusses orchestration tools like Kubernetes and how Docker is organized into various modular projects under the Moby project.
Tell the history of Container/Docker/Kubernetes, and show the key elements of them.
After view this document, you could know the main feature of Container Docker and Kubernetes.
Very basic infomation about how these technique work together.
Containerization allows for standardized and isolated application deployment across infrastructure through container runtimes like Docker. Key features that enable containers include namespaces which isolate processes and their views of the system, cgroups which control resource usage, and copy-on-write storage for efficient application packaging. A container orchestration system like Mesos provides scalability, fault tolerance, and unified resource management across clusters. This allows maximizing infrastructure utilization through flexible scheduling of containerized applications and services on shared clusters.
This document provides an overview of Docker technologies including Docker Engine, Docker Machine, Docker Kitematic, Docker Compose, Docker Swarm, Docker Registry, Docker Content Trust, Docker Networking, and Docker Universal Control Plane. It describes what each technology is used for, provides examples, and references additional resources for further information.
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.
This document discusses Docker, an open source engine that allows developers to easily create lightweight, portable containers from applications. Docker makes it easy to deploy applications across multiple environments, eliminating compatibility issues. It works by using Linux containers (LXC) and features like namespaces and control groups to isolate resources for each container. Docker provides a simple API and workflow to build images for each application service and link them together across environments like development, testing and production.
This document provides an agenda for a Docker Academy PRO course. It introduces Docker and containerization basics, including what containers are, how they work, and the challenges they solve compared to traditional virtual machines. It discusses Docker specifically, how it helps build and deploy applications, and how the Docker ecosystem works with components like Containerd and runC. Overall it serves as an introduction and overview to Docker and containerization concepts.
Introduction to Containers - SQL Server and DockerChris Taylor
Containers provide lightweight virtualization that packages applications and dependencies together. The document introduces containers and Docker, discusses the differences between containers and virtual machines, and covers key Docker concepts like images, Dockerfiles, Docker Hub, and running SQL Server in containers. It also addresses container setup, licensing, and performance considerations for using containers with SQL Server.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
An introduction to contianers and Docker for PHP developersRobert McFrazier
This document provides an introduction to containers and Docker for PHP developers. It defines Linux containers and their key components like namespaces and control groups. It explains that Docker is a container technology that packages applications and dependencies into standardized units. Docker Compose is introduced as a tool to define and run multi-container applications with Docker. Vagrant is described as a way to provide a Linux Docker host and shared folders. The document concludes by noting Docker's focus on container deployment and providing references for further information.
Dojo given at ESEI, Uvigo.
The slides include a set of great slides from a presentation made by Elvin Sindrilaru at CERN.
Docker is an open platform for building, shipping and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.
Sebastien goasguen cloud stack and dockerShapeBlue
This document discusses how Docker can be used with CloudStack. It provides several options: 1) Running Docker in VMs on CloudStack templates that include Docker, 2) Using Docker-optimized OS templates, 3) Launching containers through a container service API, 4) Using CloudStack plugins within the Docker ecosystem like Docker Machine. The document concludes that CloudStack should not try to write a Docker hypervisor plugin, but instead focus on Docker-optimized OS templates and deploying application frameworks to orchestrate Docker.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
stackconf 2020 | Replace your Docker based Containers with Cri-o Kata Contain...NETWAYS
They provide the workload isolation and security advantages of VMs. but at the same time maintain the speed of deployment and usability of containers.by using kata containers, instead of namespace, small virtual machines are created on the kernel and be strongly isolated. The technology of Kata Containers is based on KVM hypervisor. That’s why the level of isolation is equivalent to typical hypervisors. This session will focus on a live production phase when choosing kata instead of docker, and why they are preferable
Although containers provides software-level isolation of resources, the kernel needs to be shared. That’s why the isolation level in terms of security is not so high when compared with hypervisors.This learns to shift from Docker as the de facto standard to Kata containers and learn how to obtain higherl level of security
This document provides an agenda and overview for a hands-on workshop on container and Docker technologies. It begins with a brief introduction to containers and Docker, then covers installing and managing Docker containers using tools like Portainer and OpenShift Origin. It also discusses building simple Docker applications and has sections on container and Docker concepts like images, containers, registries, advantages, and the Docker ecosystem. The document aims to explain containers and Docker for both developers and IT administrators.
Docker allows building and running applications inside lightweight containers. Some key benefits of Docker include:
- Portability - Dockerized applications are completely portable and can run on any infrastructure from development machines to production servers.
- Consistency - Docker ensures that application dependencies and environments are always the same, regardless of where the application is run.
- Efficiency - Docker containers are lightweight since they don't need virtualization layers like VMs. This allows for higher density and more efficient use of resources.
This document provides an overview and comparison of Docker, Kubernetes, OpenShift, Fabric8, and Jube container technologies. It discusses key concepts like containers, images, and Dockerfiles. It explains how Kubernetes provides horizontal scaling of Docker through replication controllers and services. OpenShift builds on Kubernetes to provide a platform as a service with routing, multi-tenancy, and a build/deploy pipeline. Fabric8 and Jube add additional functionality for developers, with tools, libraries, logging, and pure Java Kubernetes implementations respectively.
Highly Available And Distributed Containers - ContainerCon NA 2016{code}
This presentation was delivered at ContainerCon North America 2016 that was held in Toronto. This talk examines the history of Docker Swarm and libNetwork and Storage to see how the increased complexity in the container ecosystem is actually simplified over time.
Containerized Delivery on the Microsoft StackCornell Knulst
This document discusses containerized application delivery on the Microsoft stack. It provides an introduction to containers and their advantages over traditional virtual machines. It then discusses the differences between Linux containers and the two types of Windows containers - Windows Server containers and Hyper-V containers. The document demonstrates how to set up and use containers on Windows and the container support in Visual Studio 2017 and Visual Studio Code. It also discusses Azure Container Service and provides some tips for containerized workflows.
Presentation of the Blue Harvest meetup: "Container Orchestration on AWS".
This talk introduced containers and container orchestration, explained kubernetes as containers orchestrator and helm as package manager for kubernetes.
Besides, we demoed the provisioning of a kubernetes cluster on AWS using a GitLab pipeline, KOPS and terraform.
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
This document provides an overview of Docker technologies including Docker Engine, Docker Machine, Docker Kitematic, Docker Compose, Docker Swarm, Docker Registry, Docker Content Trust, Docker Networking, and Docker Universal Control Plane. It describes what each technology is used for, provides examples, and references additional resources for further information.
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.
This document discusses Docker, an open source engine that allows developers to easily create lightweight, portable containers from applications. Docker makes it easy to deploy applications across multiple environments, eliminating compatibility issues. It works by using Linux containers (LXC) and features like namespaces and control groups to isolate resources for each container. Docker provides a simple API and workflow to build images for each application service and link them together across environments like development, testing and production.
This document provides an agenda for a Docker Academy PRO course. It introduces Docker and containerization basics, including what containers are, how they work, and the challenges they solve compared to traditional virtual machines. It discusses Docker specifically, how it helps build and deploy applications, and how the Docker ecosystem works with components like Containerd and runC. Overall it serves as an introduction and overview to Docker and containerization concepts.
Introduction to Containers - SQL Server and DockerChris Taylor
Containers provide lightweight virtualization that packages applications and dependencies together. The document introduces containers and Docker, discusses the differences between containers and virtual machines, and covers key Docker concepts like images, Dockerfiles, Docker Hub, and running SQL Server in containers. It also addresses container setup, licensing, and performance considerations for using containers with SQL Server.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
An introduction to contianers and Docker for PHP developersRobert McFrazier
This document provides an introduction to containers and Docker for PHP developers. It defines Linux containers and their key components like namespaces and control groups. It explains that Docker is a container technology that packages applications and dependencies into standardized units. Docker Compose is introduced as a tool to define and run multi-container applications with Docker. Vagrant is described as a way to provide a Linux Docker host and shared folders. The document concludes by noting Docker's focus on container deployment and providing references for further information.
Dojo given at ESEI, Uvigo.
The slides include a set of great slides from a presentation made by Elvin Sindrilaru at CERN.
Docker is an open platform for building, shipping and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.
Sebastien goasguen cloud stack and dockerShapeBlue
This document discusses how Docker can be used with CloudStack. It provides several options: 1) Running Docker in VMs on CloudStack templates that include Docker, 2) Using Docker-optimized OS templates, 3) Launching containers through a container service API, 4) Using CloudStack plugins within the Docker ecosystem like Docker Machine. The document concludes that CloudStack should not try to write a Docker hypervisor plugin, but instead focus on Docker-optimized OS templates and deploying application frameworks to orchestrate Docker.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
stackconf 2020 | Replace your Docker based Containers with Cri-o Kata Contain...NETWAYS
They provide the workload isolation and security advantages of VMs. but at the same time maintain the speed of deployment and usability of containers.by using kata containers, instead of namespace, small virtual machines are created on the kernel and be strongly isolated. The technology of Kata Containers is based on KVM hypervisor. That’s why the level of isolation is equivalent to typical hypervisors. This session will focus on a live production phase when choosing kata instead of docker, and why they are preferable
Although containers provides software-level isolation of resources, the kernel needs to be shared. That’s why the isolation level in terms of security is not so high when compared with hypervisors.This learns to shift from Docker as the de facto standard to Kata containers and learn how to obtain higherl level of security
This document provides an agenda and overview for a hands-on workshop on container and Docker technologies. It begins with a brief introduction to containers and Docker, then covers installing and managing Docker containers using tools like Portainer and OpenShift Origin. It also discusses building simple Docker applications and has sections on container and Docker concepts like images, containers, registries, advantages, and the Docker ecosystem. The document aims to explain containers and Docker for both developers and IT administrators.
Docker allows building and running applications inside lightweight containers. Some key benefits of Docker include:
- Portability - Dockerized applications are completely portable and can run on any infrastructure from development machines to production servers.
- Consistency - Docker ensures that application dependencies and environments are always the same, regardless of where the application is run.
- Efficiency - Docker containers are lightweight since they don't need virtualization layers like VMs. This allows for higher density and more efficient use of resources.
This document provides an overview and comparison of Docker, Kubernetes, OpenShift, Fabric8, and Jube container technologies. It discusses key concepts like containers, images, and Dockerfiles. It explains how Kubernetes provides horizontal scaling of Docker through replication controllers and services. OpenShift builds on Kubernetes to provide a platform as a service with routing, multi-tenancy, and a build/deploy pipeline. Fabric8 and Jube add additional functionality for developers, with tools, libraries, logging, and pure Java Kubernetes implementations respectively.
Highly Available And Distributed Containers - ContainerCon NA 2016{code}
This presentation was delivered at ContainerCon North America 2016 that was held in Toronto. This talk examines the history of Docker Swarm and libNetwork and Storage to see how the increased complexity in the container ecosystem is actually simplified over time.
Containerized Delivery on the Microsoft StackCornell Knulst
This document discusses containerized application delivery on the Microsoft stack. It provides an introduction to containers and their advantages over traditional virtual machines. It then discusses the differences between Linux containers and the two types of Windows containers - Windows Server containers and Hyper-V containers. The document demonstrates how to set up and use containers on Windows and the container support in Visual Studio 2017 and Visual Studio Code. It also discusses Azure Container Service and provides some tips for containerized workflows.
Presentation of the Blue Harvest meetup: "Container Orchestration on AWS".
This talk introduced containers and container orchestration, explained kubernetes as containers orchestrator and helm as package manager for kubernetes.
Besides, we demoed the provisioning of a kubernetes cluster on AWS using a GitLab pipeline, KOPS and terraform.
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
module4 cloud provider and consumer perspRadhika R
Controlling scalability features such as usage quotas, active instance thresholds, and the configuration and deployment of the automated scaling listener and load balancer mechanisms.
containers-in-cloud.pptx introduction partRadhika R
Many SaaS offerings are provided free of charge, although these cloud services often come with data collecting sub-programs that harvest usage data for the benefit of the cloud provider (what benefits?).
containerization1. introduction to containRadhika R
SaaS-based cloud services are almost always accompanied by refined and generic APIs, they are usually designed to be incorporated as part of larger distributed solutions.
moThese platforms hide the complexity and details of the underlying infrastru...Radhika R
These platforms hide the complexity and details of the underlying infrastructure from users and applications by providing very simple graphical interface or API (Applications Programming Interface).
Cloud Computing is a general term used to describe a new class of network bas...Radhika R
Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
basically a step on from Utility Computing
a collection/group of integrated and networked hardware, software and Internet infrastructure (called a platform).
Using the Internet for communication and transport provides hardware, software and networking services to clients
DTGO -a public organization that specializes in IT infrastructure and technology
services for public sector organization.
• DTGOV has virtualized its network infrastructure to produce a logical network
layout favoring network segmentation and isolation.
• Figure 7.4 depicts the logical network perimeter implemented at each DTGOV data
center. A logical network layout is established through a set of logical network
perimeters using various firewalls and virtual networks.
The cloud consumer’s on-premise environment and a cloud provider’s
cloud-based environment, connected through VPN and protect
communications. Figure 7.3
Virtualization technology and virtualizationRadhika R
Logical Network Perimeter
• Isolation of a network environment from the rest of a communications
network
• Establishes a virtual network boundary Figure 7.1
that can encompass and isolate a group of related cloud-based IT
resources
• This mechanism can be implemented to: – isolate IT resources in a cloud from non-authorized users – isolate IT resources in a cloud from non-users – isolate IT resources in a cloud from cloud consumers – control the bandwidth that is available to isolated IT resources
introduction to web technology and web applicationRadhika R
Enable multiple users (tenants) to access the same
application simultaneously
• Multitenant applications ensure that tenants do
not have access to data and configuration
information that is not their own
Introduction to cloud delivery models of paasRadhika R
Cloud computing relies on internet.
• Web technology is generally used as both the
implementation medium and the managUniform resource locator (URL)
Commonly informally referred to as a web address
a reference to a web resource that specifies its location
on a computer network and a mechanism for retrieving
it
Example: http://www.example.com/index.html
• Hypertext transfer protocol (HTTP)
Primary communication protocol used to exchange
content
• Markup languages (HTML, XML)
16
Express Web‐centric data and metadata
Virtualization Technology Hardware Independence Server ConsolidationRadhika R
Virtualization is the process of converting a physical IT resource into a virtual IT
resource.
Most types of IT resources can be virtualized, including:
Servers
Storage
Network
Power
A number of characteristics define cloud data, applications services and infr...Radhika R
Remotely hosted: Services or data are hosted on remote infrastructure.
Ubiquitous: Services or data are available from anywhere.
Commodified: The result is a utility computing model similar to traditional that of traditional utilities, like gas and electricity - you pay for what you would want!
Cloud computing is an umbrella term used to refer to Internet based developme...Radhika R
A number of characteristics define cloud data, applications services and infrastructure:
Remotely hosted: Services or data are hosted on remote infrastructure.
Ubiquitous: Services or data are available from anywhere.
Commodified: The result is a utility computing model similar to traditional that of traditional utilities, like gas and electricity - you pay for what you would want!
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
Please check the members inside kuwait from this link:
https://www.rics.org/networking/find-a-member.html?firstname=&lastname=&town=&country=Kuwait&member_grade=(AssocRICS)&expert_witness=&accrediation=&page=1
its all about Artificial Intelligence(Ai) and Machine Learning and not on advanced level you can study before the exam or can check for some information on Ai for project
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxRishavKumar530754
LiDAR-Based System for Autonomous Cars
Autonomous Driving with LiDAR Tech
LiDAR Integration in Self-Driving Cars
Self-Driving Vehicles Using LiDAR
LiDAR Mapping for Driverless Cars
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
Fluid mechanics is the branch of physics concerned with the mechanics of fluids (liquids, gases, and plasmas) and the forces on them. Originally applied to water (hydromechanics), it found applications in a wide range of disciplines, including mechanical, aerospace, civil, chemical, and biomedical engineering, as well as geophysics, oceanography, meteorology, astrophysics, and biology.
It can be divided into fluid statics, the study of various fluids at rest, and fluid dynamics.
Fluid statics, also known as hydrostatics, is the study of fluids at rest, specifically when there's no relative motion between fluid particles. It focuses on the conditions under which fluids are in stable equilibrium and doesn't involve fluid motion.
Fluid kinematics is the branch of fluid mechanics that focuses on describing and analyzing the motion of fluids, such as liquids and gases, without considering the forces that cause the motion. It deals with the geometrical and temporal aspects of fluid flow, including velocity and acceleration. Fluid dynamics, on the other hand, considers the forces acting on the fluid.
Fluid dynamics is the study of the effect of forces on fluid motion. It is a branch of continuum mechanics, a subject which models matter without using the information that it is made out of atoms; that is, it models matter from a macroscopic viewpoint rather than from microscopic.
Fluid mechanics, especially fluid dynamics, is an active field of research, typically mathematically complex. Many problems are partly or wholly unsolved and are best addressed by numerical methods, typically using computers. A modern discipline, called computational fluid dynamics (CFD), is devoted to this approach. Particle image velocimetry, an experimental method for visualizing and analyzing fluid flow, also takes advantage of the highly visual nature of fluid flow.
Fundamentally, every fluid mechanical system is assumed to obey the basic laws :
Conservation of mass
Conservation of energy
Conservation of momentum
The continuum assumption
For example, the assumption that mass is conserved means that for any fixed control volume (for example, a spherical volume)—enclosed by a control surface—the rate of change of the mass contained in that volume is equal to the rate at which mass is passing through the surface from outside to inside, minus the rate at which mass is passing from inside to outside. This can be expressed as an equation in integral form over the control volume.
The continuum assumption is an idealization of continuum mechanics under which fluids can be treated as continuous, even though, on a microscopic scale, they are composed of molecules. Under the continuum assumption, macroscopic (observed/measurable) properties such as density, pressure, temperature, and bulk velocity are taken to be well-defined at "infinitesimal" volume elements—small in comparison to the characteristic length scale of the system, but large in comparison to molecular length scale
"Boiler Feed Pump (BFP): Working, Applications, Advantages, and Limitations E...Infopitaara
A Boiler Feed Pump (BFP) is a critical component in thermal power plants. It supplies high-pressure water (feedwater) to the boiler, ensuring continuous steam generation.
⚙️ How a Boiler Feed Pump Works
Water Collection:
Feedwater is collected from the deaerator or feedwater tank.
Pressurization:
The pump increases water pressure using multiple impellers/stages in centrifugal types.
Discharge to Boiler:
Pressurized water is then supplied to the boiler drum or economizer section, depending on design.
🌀 Types of Boiler Feed Pumps
Centrifugal Pumps (most common):
Multistage for higher pressure.
Used in large thermal power stations.
Positive Displacement Pumps (less common):
For smaller or specific applications.
Precise flow control but less efficient for large volumes.
🛠️ Key Operations and Controls
Recirculation Line: Protects the pump from overheating at low flow.
Throttle Valve: Regulates flow based on boiler demand.
Control System: Often automated via DCS/PLC for variable load conditions.
Sealing & Cooling Systems: Prevent leakage and maintain pump health.
⚠️ Common BFP Issues
Cavitation due to low NPSH (Net Positive Suction Head).
Seal or bearing failure.
Overheating from improper flow or recirculation.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
10. 10
What are containers?
Containers offer an isolated environment – as close as possible
to a VM – without the overhead of running a separate kernel
and simulating all the hardware
14. 14
Docker
• Open Source
• Builds on top of LXC
• Provides portable format and
runtime environment to deploy
application inside containers
• Containers optimized by layers
• Manages dependencies
19. 19
Container Orchestration
• Manage/Provision multi-container
applications
• Application blueprint from a
schema (JSON or YAML)
• Monitoring
• Upgrades (rolling) and Rollback
• Policy management
• Service discovery
• Ease of use
• Integration with existing systems
20. 20
Docker Swarm
$ docker swarm init
$ docker swarm join
• Cluster management within the Docker engine
• No additional software to manage a Swarm
• Easy to setup
• Scaling
• Built-In
• Multi-host networking
• Service discovery
• Load balancing (L4)
• Security
• Rolling updates
• But… Not a real orchestration tool (not yet!)
#3: Why containers?
Before we answer that question, lets take a look at the hardware installed on various production systems.
Virt – tech that separates an os from physical resources.
Reduce energy, vendor lock in, faster provisioning of servers, reduce data center footprint
Hypervisor presents the the host os a complete set of cpu memory and disk fooling it to believe that its running on a real hardware.
So this solves the hardware resources problem by abstracting the hardware from the OS and provides the ability of allocating chunks of compute when necessary
#4: Modern software systems are very complex.
A simple app can have a RDBMS, a document DB, quques, middleware systems, static website etc.
And all of these systems can be written in a plethora of languages as per the component needs.
So you have many components with different runtimes, and you code that runs on them.
Consider CI/CD env and things get really messy
#6: So complex software systems which requires multiple runtimes and are being distributed to variety of physical machines gives us a the Matrix hell
#7: Before we go further, lets look at a similar problem in the physical world. The shipping industry
Until 1950s shipping was messy labor intensive and a drain
Malcom Mclean invented the container which standardized the movement of cargo
1966 first international ship voyage
#8: So just like the shipping industry intermodal containers, our Linux container helps overcoming the matrix of hell
#9: Agenda – Just like meetings should have agenda. So you can decide if you want to stay
#10: Sort of the definition from the linuxcontainer org
#11: Before we talk more about container, lets take a step back and understand the diff between virt and containerization
So virt is a tech that separates the OS from the physical resources. The hypervisor provides a complete set of hardware, cpu, mem disk etc to the guest OS fooling it to believe that it is running on a real hardware
Containerization, host and guests share the same kernel.
Eliminates waste. Free of OS overhead
So its considerably smaler, easier to move and most imp faster to provision
I/O and mem are also close to native perf
But all containers need to share the same base linux kernel
#12: Containers are not something that Docker invented.
The bases of containers have been available in the linux kernel in some form since many year now.
Chroot – or change root. Changes root dir of process and child process. So provides isolation of some form to install virtualized copies of software
Cgroups – limits and isolates resource usage of a collection of processes
LXC – is an OS level virtualization that is built using Linux kernel features like chroot, cgroups, namespaces etc
#13: LXC is a userspace interface for linux kernel containment features
LXC creates a env as close to a standard linux kernel but without the need for a separate kernel
Its between a chroot and a full fledged VM
Kernel namespaces – ipc, uts, mount, pid, network and user
Just as chroot allows processes to see any arbitrary directory as the root of the system (independent of the rest of the processes), Linux namespaces allow other aspects of the operating system to be independently modified as well. This includes the process tree, networking interfaces, mount points, inter-process communication resources and more
Apparmor and SELinux profiles
Linux kernel security
allow for easy control of access between processes and objects, processes and other processes, and objects and other objects
Seccomp policies
restrict system calls that can be made from a process. Key component in sandboxing
Chroots
arbitory directory
Cgroups
allocates resources such as system mem, network bw, CPU time to user defined groups of process. They can controlled, monitored and changed. This is how you can limit cpu and mem. All linux process are children of a common parent: init process. Cgroups are also hierarchical but multiple hierarchy can exist at the same time. Unconnected trees of processes
#14: Docker is open source software to build ship and run any application as a container. Specifically LXC container.
It extends LXC. Make it more usable by application developers.
Docker containers are very light weight. Optimized with layers so easy to transport
Cross platform dependencies
Conflicting dependencies
Custom dependencies
#15: Dockerd process runs as a daemon on a Linux system
Core process that manages building of images, publishing them to registries and run them
Docker d exposes a http api.
Client talks to the daemon using the http api.
Registry is where docker images are stored. Which can be later pulled
#16: What is a docker file. Set of linux commands that describes you images.
Docker defines a build as running a sequence of Unix commands, one after the other, in the same container. Build commands modify the contents of the container (usually by installing new files on the filesystem), the next command modifies it some more, etc. Since each build command inherits the result of the previous commands, the order in which the commands are executed expresses dependencies.
Show a sample from out git repo
Docker build – sends the build context to the daemon which process the dockerfile and creates an image
Docker run – runs a container for that image
#17: Container before docker
We have used this sometimes to describe Cars.com arch
#18: With Docker creating deploying and managing linux container is very simple
#19: Orchestration
So we can run containers.
But what about multiple containers that for an application?
What about 100s of container instances across multiple server spread over a large geographic area?
That when orchestration tools come in. They should have the benefits listed hear
Many players in this space
#20: What is docker swarm.
We want to talk about swarm because since docker 1.12, cluster management and routing capabilities are built in
Not a complete orchestration tool
But provides a lot of cluster management tools with in the docker engine itself
#21: Lets pray to the demo gods
Add a swarm worker using terraform.
Export DOCKER_HOST to one of the mangers
Show docker node ls
Docker network ls
Etc
Take a clutch based app and add PUBLISHED_PORT and INSTANCES in the mk file
And run powertrain service create