solution architecture presentation template

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Solution Architecture PowerPoint and Google Slides Template

(6 Editable Slides)

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Solution Design and Implementation

Get your hand on our visually impressive Solution Architecture PPT template to describe the practice of creating a comprehensive architecture for a specific software solution that best satisfies both the project and business requirements. Solution architects can use this 100% editable deck to discuss how this process enables the organization to successfully design and develop new software solutions to scale the business in the future.

The elegant and clean look of the template adds to the overall vibe of the presentation and will make it stand out. Our designers have organized the visual elements in a manner that will not overwhelm your slideshow, instead accentuate it. So, download this deck for your upcoming presentation and garner accolades from your audience!

Significant Highlights of the PPT

• A beautifully-designed pattern depicts an overview of solution architecture clearly and concisely.
• A well-designed diagram showcases the architecture framework in a comprehensible manner.
• A flower-shaped pattern presents the solution architecture work across four domains, i.e., Software, Infrastructure, Information, and Business.
• A comprehensively-designed diagram illustrates the dimensions of this concept in an easy-to-understand manner.
• An infographic with appealing icons gives a comprehensive view of the solution architect role, i.e., Responsibilities, Experience, and Personal Attributes, impressively.
• The structured approach to this concept has been given coherently.

Salient Features

• The slides in the deck are entirely customizable; any element can be changed at any time.
• You need not download the template every time you require it.
• Since our in-house designers have designed the PPT after meticulous research, there will be no issues pertaining to copyright.
• Even multiple changes won’t hamper the resolution as the graphics used are high-definition.
• In case of any technical issue, you can take assistance from our customer support team.
• You can convert the final presentation into any file format to provide it as a handout to the audience.

So, download this set and leave a lasting impression on your intended audiences!

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Architecture Solution

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Today’s disruptive technologies are pushing enterprises into a new age of architecture solutions. The primary goal for this overarching framework is to align application capabilities with business requirements. For technologists, engineers and management looking to easily transform their technology structures along with business goals, this template can help you visualize the path forward. Solution architecture is comprised of several complex processes and sub-processes. It plays a central role in an organization’s efforts to introduce and successfully implement new technology solutions. In the first step, solution architecture specialists closely look at how the different elements of business, information and technology can be applied to solve a specific problem. Next, they propose a combination of building blocks that provides the best possible fix. This process is very detail-oriented and serves as a connecting piece between enterprise architecture and technical architecture. It also requires a breadth of knowledge in the technical and business inner workings of the company. After solution architects have designed a solution for an existing problem, it is their job to manage the tasks and activities that are involved with its successful implementation. During the entire process, the specialists oversee all technological risks and make sure that the described solution proves to be consistent while meeting all the necessary requirements.  Thus, in their assigned role, solution architects most resemble project managers who make sure that everyone involved, including the stakeholders, are on the same page and move into the right direction throughout all phases.

The Architecture Solution template will be primarily useful for managers of enterprises and firms. You can use the slides in this template to prepare a long-term strategy for your company. For example, you can visualize the functional relationships between different departments of the company or visualize the interaction of different services when working on a large project. Also, this template will be useful for startups when preparing for a meeting with investors. Project managers can also use this template in their day to day work. IT specialists can use this template when preparing the structure of the work of various teams of programmers on a large information project. Business trainers and university professors can use the slides from this template to prepare their courses on functional communication in the company or project management. Human resources managers can use the slides in this template to prepare company structure information. You can use the slides when introducing new specialists and employees to the corporate culture of the company.

Available in four colourful and distinct designs, this template includes flow charts, a legend for color-coded categories, circular diagrams indicating sequences. The first slide maps out various enterprise technologies, which can be updated to reflect your unique framework. The second slide takes a color-coded approach to mapping business architecture, information architecture, technology architecture, data architecture and application architecture. The third slide offers multiple team perspectives, including management and operations, implementation, technical, functional and business. The fourth slide shows sequencing and order from business analysis to solution operation. If necessary, you can independently change the size, colour and position of blocks, infographics and text on the slides of this template. With this 100% editable template, you can convey the concepts in a simple, straightforward manner to both technical and non-technical audiences. The Architecture Solution template will complement your existing professional presentations and take its rightful place in your business presentation collection.

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Solution Architecture

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item details (6 Editable Slides)

(6 Editable Slides)

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Make use of our stunning Solution Architecture PowerPoint template to describe the practice of creating an architecture and technical blueprint for specific solutions according to the nature of the business problem. All these slides are effortless to edit according to your requirements. Download them without delay!

Project managers, software developers, and team leaders can leverage these fantastic PowerPoint slides to demonstrate the components, framework, and dimensions of solution architecture. You can also highlight the roles, responsibilities, and personal attributes of a solution architect.

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Commercial And Urban Architect Business Profile Energy Efficient And Urban Design Services Graphics PDF

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Commercial And Urban Architect Business Profile Executive Leadership And Management Team Designs PDF

This slide highlights the case study of an architecture company which showcases project details, requirements and planning with xperiential design architecture and outcomes. Presenting Commercial And Urban Architect Business Profile Executive Leadership And Management Team Designs PDF to provide visual cues and insights. Share and navigate important information on five stages that need your due attention. This template can be used to pitch topics like Strategic Management, Design Guidelines, Master Plans. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Big Data Architect Benefits Of Big Data Management For Business Template PDF

This slide represents the benefits of big data for business, and it includes reduced costs, increased revenue, a boost in business efficiency, assessment of business finances, and so on.Presenting Big Data Architect Benefits Of Big Data Management For Business Template PDF to provide visual cues and insights. Share and navigate important information on six stages that need your due attention. This template can be used to pitch topics like Sales And Customer, Tastes Preferences, Large Organizations. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Big Data Architect Big Data Management In Education Sector Icons PDF

This slide represents the uses of big data in the education sector and how it would be beneficial to know about learners behavior and performance and model educational data warehouses.Presenting Big Data Architect Big Data Management In Education Sector Icons PDF to provide visual cues and insights. Share and navigate important information on four stages that need your due attention. This template can be used to pitch topics like Extant Literature, Educational Research, Implications. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Big Data Architect Big Data Management In Media And Entertainment Industry Professional PDF

This slide depicts the application of big data in the media and entertainment industry and how it would be beneficial to predict audience interest, optimization, and monetization, understanding audience disengagement and the role of advertisement.Presenting Big Data Architect Big Data Management In Media And Entertainment Industry Professional PDF to provide visual cues and insights. Share and navigate important information on four stages that need your due attention. This template can be used to pitch topics like Optimization Monetization, Predict Audience, Advertisement. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Big Data Architect Big Data Management Technologies We Offer Elements PDF

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Big Data Architect Checklist For Effective Big Data Strategy Background PDF

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Big Data Architect Training Program For Big Data Management Topics PDF

This slide describes the top sources of big data collection such as media data, cloud data, web data, machine data, and data collected from traditional and modern databases.Presenting Big Data Architect Training Program For Big Data Management Topics PDF to provide visual cues and insights. Share and navigate important information on four stages that need your due attention. This template can be used to pitch topics like Key Features, Skills Covered, Schedule. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Big Data Architect Why Big Data Management Is Important Brochure PDF

This slide depicts the importance of big data and how collected data will help organizations in cost-saving, time savings, new product launching, and decision making.Presenting Big Data Architect Why Big Data Management Is Important Brochure PDF to provide visual cues and insights. Share and navigate important information on four stages that need your due attention. This template can be used to pitch topics like Develop Business, Allowing Discover, Business Related. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Solution Technology Solution Provider Business Model BMC SS V

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The solution architect’s toolkit for effortless documentation

Reading time: about 5 min

A solutions architect is crucial to align a company’s business goals with its IT services and software products. One of the most important aspects of this role is communicating with technical and non-technical audiences alike—which is no small task. 

Because of those demanding communication needs, documentation plays an essential role in a solution architect’s daily workflow. But it’s difficult to convey complex processes and systems in a digestible format. 

That’s why we created this template toolkit for solution architects. With Lucid, you can create visual and dynamic documentation to record your processes better and connect with both internal and external stakeholders.

• Templates for planning and analysis 

Templates for architectural design and documentation

Templates for visual representation and modeling, templates for planning and analysis.

As a solutions architect, you want to understand your customers and their needs deeply. These templates were created to help you do exactly that by holding engaging discovery sessions, building comprehensive roadmaps, and more.

Discovery workshop

Having a visual template to guide interactive discovery workshops lets you better understand customers’ needs, goals, and technical requirements. With a template to lead the conversation, you can also set clear expectations and establish the next steps.

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DevOps roadmap

Need a solution for streamlining processes and uncovering opportunities for innovation? You’ll want to check out our DevOps roadmap template. Use this template to visualize your processes and reveal impediments, then easily share your findings with your team.

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Visualizations can help smooth out the often tangled, complex nature of a business’s architecture. These templates provide a paved road to help you get started.

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Lucid is a powerful solution that can equip solutions architects with the tools they need to meet customer needs. From hosting engaging discovery sessions to visualizing customer systems to building future-state proposals, Lucid has you covered. 

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About Lucid

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Solution Architecture: A Practical Example

Introduction

This is the second in a two part series that examines an example of how the principles of enterprise architecture relate to a fictional business. Part one focused on the reference architecture with heavy emphasis on discussing the motivation and strategy layers. This article extends that previous work and focuses on the solution architecture. It will delve more into the practical implementation in technology of the strategies covered as a part of the reference architecture in the prior article . Notably, the reference architecture identified four (4) business processes that are contributory to the strategy – machine learning and data analytics, infrastructure management, information security, and software development. However, for the sake of brevity this article will walk through the solution architecture for only one (1) of the four (4), namely machine learning and data analytics .

As with the previous article, we will use a fictional staffing company, Demo Staffing Company Inc., to illustrate the design. To briefly recap, Demo Staffing Company Inc.’s business model is based on providing talented candidates to large corporate clients. Clients would approach the company with their needs and the company would leverage its network to match those needs with candidates. For its business to grow, the company must deliver utmost satisfaction to its clients to solidify its brand in a highly competitive industry. Machine learning and data analytics is one (1) of four (4) business processes that the company has identified as being key to achieving its goal.

Solution Architecture

What is it, and why should you care?

Solution architecture is a discipline of enterprise architecture that seeks to define and describe specific systems. It may be a system composed of systems, or it may describe a single system in detail. For example, it may show an element in a design that’s identified as a “ computing cluster “, which is by definition a system of systems. The cluster may be a part of a wider solution architecture. Alternatively, the design could expand on the components of a single server, a single system, that’s a member unit of the cluster to show details of its hardware, network, physical location, its operating system, software, and so on.

Solution architecture is distinct from reference architecture which would seek to describe a wider viewpoint and commonly more closely coupled to higher level business motivations , goals , and strategies . Consider a reference architecture to be a sweeping description connecting the business goals to technology, and the solution architecture to be narrowly and specifically describing how to implement technologies to achieve said business goals.

You should care about solution architecture because its value proposition is showing, in detail, how systems interact to deliver practical and measurable value to your business. It will provide a sufficient level of implementation detail to serve as a playbook for technical roles (such as scientists, developers, and engineers) responsible for instrumenting and delivering a system. It will facilitate regular course correction during the implementation to mitigate scope creep . It will serve as a record of reference for partners and stakeholders. Developing a vetted, solid solution architecture before starting a project will ensure that your business does not spend valuable, and likely expensive, cycles going in less than optimal directions with your deployment.

Having defined solution architecture, let’s now look at our example by walking through the strategy , business , data and application , and technology layers of the design. The designs shown below are done using the ArchiMate modeling language .

Strategy Layer

While discussing the solution architecture for the machine learning and data analytics business process, we will very briefly cover the strategy layer. The motivation layer that usually precedes the strategy layer will not be included but instead is discussed in detail in the reference architecture . The strategy layer here is highly abridged showing only the one (1) resource element. This is solely to show which resource the business process to be discussed in this solution architecture is assigned. Other elements (also included in the reference architecture ) such as courses of action and capabilities, which have assignment and realizing relationships respectively, are again removed for brevity.

Business Layer

Much like the strategy layer our treatment of the business layer will be brief. It shows only the business process which we will be focusing on, and the business role of data scientist that is assigned to it. The business layer further has an assignment relationship with the strategy layer above. That is, the business role of data scientist is assigned to the business process of machine learning and data analytics. That business process is in turn assigned to the IT organization resource.

Data and Application Layer

The data and application layer is where we can begin a more detailed discussion of the solution architecture. This layer, and the technology layer that follows, are the crux of solution architecture. The example above shows an application event, a process, a service, collaboration, components, and data objects. These are connected by realization, aggregation, serving, and accessing relationships. We note that it shows an event driven flow that starts with a resume being submitted via a website to culminate in a data and application service that is offered upwards into the business layer. In effect, the above shows the data and application flow that serves the company’s business process of machine learning and data analytics.

Let’s walk through the details of how the application service is delivered to the business process.

• The flow starts off with an application event in the form of a submission of a resume on Demo Staffing Company Inc.’s website. This is a triggering event which indicates that a candidate is interested in finding a suitable job role with one of the company’s clients.
• The event triggers an application process that is served by an application service called “Candidate and role selection”.
• Candidate role selection is realized by a collaboration comprising two components – “Analyze job role data” and “Predict optimal job role match”. These components perform two distinct activities. First to analyze available data then to leverage that analysis to perform an optimal job role match.
• Both components above depend on the availability of data for available candidates, of which the newly submitted resume would be a part of, and available job roles provided by clients that need to be filled.

These steps would be transparent to the business layer which would simply understand the above flow as a service interface that it consumes. This, however, is still a conceptual flow. How is it actually instrumented in terms of hardware and software? This is where the discussion would turn to the technology layer .

Technology Layer

The final layer in this example of a solution architecture is the technology layer . Most notably this was not included in the reference architecture at all since it explicitly focuses on implementation. It’s common to have product and technology names in the data and application layer as well as in the technology layer. However, for the purposes of this demo we will use mostly generic names.

We can immediately see that, like the data and application layer offering services to the business layer, the technology layer in turn offers services to the data and application layer. The service, “Data science service”, is actually composed of two sub-services, “ Infrastructure-as-a-Service (IaaS) ” and “ Database-as-a-Service (DbaaS) “. These are realized by two (2) technology collaborations, “Managed computing in the cloud” and “Managed containers in the cloud”. The messaging here is that both of these elements are many systems collaborating to deliver one technology element.

The managed computing collaboration is simplified to show the cross-section of a single node, “Data science compute server”. This is what actually does the work to deliver the data science service. We expand the elements that comprise this node. Starting from the top of the stack and working downwards we see the R programming language running on Apache Hadoop , which in turn sits on Linux . Managed computing also provides some technology functions that would be helpful to the company. These include high availability , auto scaling , and on-demand distributed computing . The messaging from this collaboration is that the company can deliver a computing capability that’s managed by a vendor which provides useful built-in functions that it need not deploy and manage itself.

Finally, the managed database containers collaboration shows a cloud-based relational database with several technology functions delivered by a vendor. These include high availability, replication , a management system , distributed storage , serverless capability, and automated backup. Like the managed computing collaboration, the company benefits by not needing to itself instrument, deploy, and manage these services.

The top-level takeaway from the technology layer as shown here is that the company leverages the public cloud to reduce the operating costs of on-premises infrastructure.

Putting It All Together

As we did with the reference architecture, let’s now represent the full design having discussed the constituent parts. Again, this is only one (1) of the four (4) business processes that would have become solution architectures from the reference architecture . Like the reference architecture this shows the relationships that exist between the layers themselves.

Thank you for reading.

• https://pubs.opengroup.org/architecture/togaf91-doc/arch/index.html
• https://www.gartner.com/en/information-technology/glossary/enterprise-architecture-ea
• https://www.opengroup.org/togaf

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Reference Architecture: A Practical Example

Introduction This article is the first in a two part series that examines a simple example of how the principles of reference architecture relate to…

• Preferences

Creating Solution Architecture Templates - PowerPoint PPT Presentation

Creating Solution Architecture Templates

No body of knowledge from which to leverage ... domain. knowledge. solution. experience ... detailed ich technology domain and product evaluation data ... – powerpoint ppt presentation.

• That align with Business Drivers and reflect real world best practices
• John Weiler
• www.ICHnet.org
• 703 768 0400
• No formal XML DTDs to represent architecture blueprints
• No formalisms (lexicons) to describe component feature interactions and dependencies
• No evaluation techniques to assess COTS solutions interoperability or usability
• No body of knowledge from which to leverage lessons learned
• No architecture modeling tools for assessing risks or composability
• Presidential Agenda
• Policy Support Regulatory Compliance
• Stakeholder Acceptance
• Business Process Improvement
• Business Requirements Functions
• Organizational Considerations
• Change Management
• TCO Business Case
• Benefit / Risk Identification
• Partnerships Collaboration
• Trade-offs Alternatives
• Priority Refinement
• System Requirements
• Standards Constraints
• Solution Enablement
• Best Practices
• Congruent Methodologies
• identification
• of solutions that
• leverage common
• components of
• the architecture
• - Led by the Chief
• Architect (CTO)
• Facilitate communication,
• integration, and
• partnership across the E-
• Gov initiatives
• Provide a formal methodology, collaboration tools and information for transformation of business drivers into proven and interoperable solution sets
• Propagate a knowledge base of EA artifacts
• Provide means of sharing best practices and lessons learned
• Increase the integrity, timeliness, and contextual relevance of architecture communications between buyers and suppliers
• ECCWG (DEPSECDEF) established Software Quality and Interoperability Working Group finding on www.ICHnet.org
• AF Scientific Advisory Board Report on Integrating Commercial items into mission systems, April 2000.
• December 99 report published in Information Week Why IT Fails
• Results of DARPA Distributed Component-based Architecture Modeling Project
• Proceeding from Secure E-Business Executive Summit
• Domain Working Groups within OMB, IEEE, and ICH.
• Reduce uncertainty and risk of mapping solutions to common business requirements
• Improve visibility of key technical features, interfaces, functions
• Provide consistent approach for evolving solution paradigms for COTS product usage
• Generate Industry approval and consensus
• Facilitate compliance with Clinger-Cohen, FAROMB Circulars A119 A130, S.803, FEAPMO
• Provide clearinghouse of reusable artifacts and supporting research
• Methodology Origins and Inputs
• OSI Reference Model for Open Distributed Processing (views)
• OMG Model Driven Architectures (MDA/UML)
• Community Based
• Comprehensive Exerprise
• Alignment Driven
• Metric Justified
• Non Prescriptive
• DB Product Y
• Two Phase Commit
• Relational Constructs
• Row Level Locking
• Referential Integrity
• ODBC Interface
• SQL Interface
• JDBC Interface
• OLE DB Interface
• Multiphase converter
• Solutions Map
• Distributed Org
• Mobile Force
• non-fixed locations
• secure communications
• concurrent updates
• complex data types
• unstructured data
• central data collection
• Open Systems
• Common Criteria
• Object Storage
• IDL Interface
• DB Standard X, v2
• Confirm acceptability of the solutions model
• Or, if necessary, repropose technical solution and reassess
• To share interoperability knowledge
• Experiential, 3rd-party, testing, marketing, benchmarks, etc.
• To support the ICH mission
• To collaboratively support ICH methodology for ICH members
• To facilitate the dynamic storage, management, access and maintenance of ICH repository knowledge
• To keep the ICH repository open and extensible
• To provide for continual improvement without constant interruption
• Development Tools, Application Servers, B2B, B2C, ...
• Web Servers, COM, CORBA, EJB, Messaging, JINI, .
• Enterprise Directory x5000, LDAP, Active Directory, NDS..
• Switches, Routers, Wireless, VOIP..
• Internet and Network Technologies
• Information Assurance Technologies and Secure Information Infrastructure Components
• PKI/X509, PGP, VPN, Firewalls, Digital Signature, Intrusion Detection, Encryption...
• DBMSs, XML/XMI, UDDI, Portals, Data Warehousing.
• MySQL-based (for now)
• PHP and HTML accessed (for now)
• DreamWeaver Developed
• Next Phases
• Manage, index, search, share documents, reports, other electronic information (Card Catalog-able information)
• Manage ICH Common Criteria,
• Technology Areas
• Default Weightings (per Criterion and by Technology Area)
• Manage Organizations and Points of Contact

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What is Docker?

Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker's methodologies for shipping, testing, and deploying code, you can significantly reduce the delay between writing code and running it in production.

The Docker platform

Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security lets you run many containers simultaneously on a given host. Containers are lightweight and contain everything needed to run the application, so you don't need to rely on what's installed on the host. You can share containers while you work, and be sure that everyone you share with gets the same container that works in the same way.

Docker provides tooling and a platform to manage the lifecycle of your containers:

• Develop your application and its supporting components using containers.
• The container becomes the unit for distributing and testing your application.
• When you're ready, deploy your application into your production environment, as a container or an orchestrated service. This works the same whether your production environment is a local data center, a cloud provider, or a hybrid of the two.

What can I use Docker for?

Fast, consistent delivery of your applications.

Docker streamlines the development lifecycle by allowing developers to work in standardized environments using local containers which provide your applications and services. Containers are great for continuous integration and continuous delivery (CI/CD) workflows.

Consider the following example scenario:

• Your developers write code locally and share their work with their colleagues using Docker containers.
• They use Docker to push their applications into a test environment and run automated and manual tests.
• When developers find bugs, they can fix them in the development environment and redeploy them to the test environment for testing and validation.
• When testing is complete, getting the fix to the customer is as simple as pushing the updated image to the production environment.

Responsive deployment and scaling

Docker's container-based platform allows for highly portable workloads. Docker containers can run on a developer's local laptop, on physical or virtual machines in a data center, on cloud providers, or in a mixture of environments.

Docker's portability and lightweight nature also make it easy to dynamically manage workloads, scaling up or tearing down applications and services as business needs dictate, in near real time.

Running more workloads on the same hardware

Docker is lightweight and fast. It provides a viable, cost-effective alternative to hypervisor-based virtual machines, so you can use more of your server capacity to achieve your business goals. Docker is perfect for high density environments and for small and medium deployments where you need to do more with fewer resources.

Docker architecture

Docker uses a client-server architecture. The Docker client talks to the Docker daemon, which does the heavy lifting of building, running, and distributing your Docker containers. The Docker client and daemon can run on the same system, or you can connect a Docker client to a remote Docker daemon. The Docker client and daemon communicate using a REST API, over UNIX sockets or a network interface. Another Docker client is Docker Compose, that lets you work with applications consisting of a set of containers.

The Docker daemon

The Docker daemon ( dockerd ) listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes. A daemon can also communicate with other daemons to manage Docker services.

The Docker client

The Docker client ( docker ) is the primary way that many Docker users interact with Docker. When you use commands such as docker run , the client sends these commands to dockerd , which carries them out. The docker command uses the Docker API. The Docker client can communicate with more than one daemon.

Docker Desktop

Docker Desktop is an easy-to-install application for your Mac, Windows or Linux environment that enables you to build and share containerized applications and microservices. Docker Desktop includes the Docker daemon ( dockerd ), the Docker client ( docker ), Docker Compose, Docker Content Trust, Kubernetes, and Credential Helper. For more information, see Docker Desktop .

Docker registries

A Docker registry stores Docker images. Docker Hub is a public registry that anyone can use, and Docker looks for images on Docker Hub by default. You can even run your own private registry.

When you use the docker pull or docker run commands, Docker pulls the required images from your configured registry. When you use the docker push command, Docker pushes your image to your configured registry.

Docker objects

When you use Docker, you are creating and using images, containers, networks, volumes, plugins, and other objects. This section is a brief overview of some of those objects.

An image is a read-only template with instructions for creating a Docker container. Often, an image is based on another image, with some additional customization. For example, you may build an image which is based on the ubuntu image, but installs the Apache web server and your application, as well as the configuration details needed to make your application run.

You might create your own images or you might only use those created by others and published in a registry. To build your own image, you create a Dockerfile with a simple syntax for defining the steps needed to create the image and run it. Each instruction in a Dockerfile creates a layer in the image. When you change the Dockerfile and rebuild the image, only those layers which have changed are rebuilt. This is part of what makes images so lightweight, small, and fast, when compared to other virtualization technologies.

A container is a runnable instance of an image. You can create, start, stop, move, or delete a container using the Docker API or CLI. You can connect a container to one or more networks, attach storage to it, or even create a new image based on its current state.

By default, a container is relatively well isolated from other containers and its host machine. You can control how isolated a container's network, storage, or other underlying subsystems are from other containers or from the host machine.

A container is defined by its image as well as any configuration options you provide to it when you create or start it. When a container is removed, any changes to its state that aren't stored in persistent storage disappear.

Example docker run command

The following command runs an ubuntu container, attaches interactively to your local command-line session, and runs /bin/bash .

When you run this command, the following happens (assuming you are using the default registry configuration):

If you don't have the ubuntu image locally, Docker pulls it from your configured registry, as though you had run docker pull ubuntu manually.

Docker creates a new container, as though you had run a docker container create command manually.

Docker allocates a read-write filesystem to the container, as its final layer. This allows a running container to create or modify files and directories in its local filesystem.

Docker creates a network interface to connect the container to the default network, since you didn't specify any networking options. This includes assigning an IP address to the container. By default, containers can connect to external networks using the host machine's network connection.

Docker starts the container and executes /bin/bash . Because the container is running interactively and attached to your terminal (due to the -i and -t flags), you can provide input using your keyboard while Docker logs the output to your terminal.

When you run exit to terminate the /bin/bash command, the container stops but isn't removed. You can start it again or remove it.

The underlying technology

Docker is written in the Go programming language and takes advantage of several features of the Linux kernel to deliver its functionality. Docker uses a technology called namespaces to provide the isolated workspace called the container. When you run a container, Docker creates a set of namespaces for that container.

These namespaces provide a layer of isolation. Each aspect of a container runs in a separate namespace and its access is limited to that namespace.

• Install Docker
• Get started with Docker

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