This document discusses Docker and Azure Kubernetes Service (AKS). It provides an overview of containers and how Docker is a leading containerization platform. It describes how AKS uses Kubernetes for container orchestration to facilitate deployment, scaling, and management of containers across a cluster of virtual machines. Real-world use cases show how Docker and AKS can enable microservices architectures and support DevOps practices for faster software delivery.
Containers provide a lightweight virtualization method for applications, using less resources than virtual machines. Docker is a popular open-source container platform supported natively in Azure. Azure Container Service provides orchestration tools like Kubernetes, DC/OS, and Docker Swarm to deploy and manage containers at scale across clusters of agent nodes controlled by master nodes.
Kubernetes on AWS allows users to deploy and manage Kubernetes clusters on the AWS cloud infrastructure. It provides tools to create clusters across multiple AWS availability zones for high availability. Users can define Kubernetes objects like pods, services, deployments etc using kubectl and utilize AWS services like EBS volumes for persistent storage. The presentation demonstrated setting up a Kubernetes cluster on AWS using kube-up.sh along with examples of using EBS volumes in pods through persistent volume claims. It also showed monitoring and managing applications running on the Kubernetes cluster deployed on AWS.
This document provides an overview of containerization with Microsoft Azure. It discusses how containers are lighter weight than virtual machines and supported natively in Azure through Docker. It describes Docker architecture and common Docker CLI commands. It also outlines Azure Container Service for robust Docker hosting, and how container orchestration with tools like Kubernetes, DC/OS and Docker Swarm facilitates deployment and management of large volumes of containers.
This document discusses containers and container orchestration platforms. It provides an overview of Docker containers, the Docker architecture, and common Docker CLI commands. It then discusses Azure Container Service and how it provides a hosted environment for Docker containers. It explains that container orchestration is needed to manage large volumes of containers and describes Kubernetes, DC/OS, and Docker Swarm as orchestration engines supported by Azure Container Service.
The document provides an overview of Azure Kubernetes Service (AKS) including:
- AKS simplifies deployment, management, scaling and monitoring of containerized applications on Kubernetes.
- AKS uses a master-worker node architecture with master nodes managing the cluster state and worker nodes running application containers.
- Key AKS concepts include clusters, pods, deployments, replica sets, and services.
- The AKS architecture includes etcd, kube-apiserver, controller manager, kube-scheduler and cloud controller manager on the master node, and kubelet, container runtime and kube-proxy on worker nodes.
- Applications can be deployed to AKS through Kubernetes manifest
Cloud technology with practical knowledgeAnshikaNigam8
Docker uses a client-server architecture with a Docker client communicating with the Docker daemon. The daemon manages Docker objects like images, containers, networks and volumes. Kubernetes is an open-source system that automates deployment, scaling, and management of containerized applications. It ensures containers run as expected and acquires necessary resources. Key Kubernetes components include pods, deployments, services, nodes, and the control plane which manages the cluster.
Containers provide a lightweight virtualization method for applications, using less resources than virtual machines. Docker is a popular open-source container platform supported natively in Azure. Azure Container Service provides orchestration tools like Kubernetes, DC/OS, and Docker Swarm to deploy and manage containers at scale across clusters of agent nodes controlled by master nodes.
Kubernetes on AWS allows users to deploy and manage Kubernetes clusters on the AWS cloud infrastructure. It provides tools to create clusters across multiple AWS availability zones for high availability. Users can define Kubernetes objects like pods, services, deployments etc using kubectl and utilize AWS services like EBS volumes for persistent storage. The presentation demonstrated setting up a Kubernetes cluster on AWS using kube-up.sh along with examples of using EBS volumes in pods through persistent volume claims. It also showed monitoring and managing applications running on the Kubernetes cluster deployed on AWS.
This document provides an overview of containerization with Microsoft Azure. It discusses how containers are lighter weight than virtual machines and supported natively in Azure through Docker. It describes Docker architecture and common Docker CLI commands. It also outlines Azure Container Service for robust Docker hosting, and how container orchestration with tools like Kubernetes, DC/OS and Docker Swarm facilitates deployment and management of large volumes of containers.
This document discusses containers and container orchestration platforms. It provides an overview of Docker containers, the Docker architecture, and common Docker CLI commands. It then discusses Azure Container Service and how it provides a hosted environment for Docker containers. It explains that container orchestration is needed to manage large volumes of containers and describes Kubernetes, DC/OS, and Docker Swarm as orchestration engines supported by Azure Container Service.
The document provides an overview of Azure Kubernetes Service (AKS) including:
- AKS simplifies deployment, management, scaling and monitoring of containerized applications on Kubernetes.
- AKS uses a master-worker node architecture with master nodes managing the cluster state and worker nodes running application containers.
- Key AKS concepts include clusters, pods, deployments, replica sets, and services.
- The AKS architecture includes etcd, kube-apiserver, controller manager, kube-scheduler and cloud controller manager on the master node, and kubelet, container runtime and kube-proxy on worker nodes.
- Applications can be deployed to AKS through Kubernetes manifest
Cloud technology with practical knowledgeAnshikaNigam8
Docker uses a client-server architecture with a Docker client communicating with the Docker daemon. The daemon manages Docker objects like images, containers, networks and volumes. Kubernetes is an open-source system that automates deployment, scaling, and management of containerized applications. It ensures containers run as expected and acquires necessary resources. Key Kubernetes components include pods, deployments, services, nodes, and the control plane which manages the cluster.
Docker is a containerization platform that packages applications into standardized units called containers. Azure Container Service simplifies creating clusters of virtual machines preconfigured to run containerized applications using open-source orchestration tools like Docker Swarm, DC/OS, and Kubernetes. The presentation demonstrated Docker and container orchestration on Azure through Visual Studio tools for building, debugging, and deploying containerized applications as well as a continuous integration/deployment pipeline using DC/OS on Azure Container Service.
Agenda
1. The changing landscape of IT Infrastructure
2. Containers - An introduction
3. Container management systems
4. Kubernetes
5. Containers and DevOps
6. Future of Infrastructure Mgmt
About the talk
In this talk, you will get a review of the components & the benefits of Container technologies - Docker & Kubernetes. The talk focuses on making the solution platform-independent. It gives an insight into Docker and Kubernetes for consistent and reliable Deployment. We talk about how the containers fit and improve your DevOps ecosystem and how to get started with containerization. Learn new deployment approach to effectively use your infrastructure resources to minimize the overall cost.
Structured Container Delivery by Oscar Renalias, AccentureDocker, Inc.
With tools like Docker Toolbox, the entry barrier to Docker and containers is rather low. However, it takes a lot more to design, build and run an entire container platform, at scale, for production applications.
This talk will focus on why it is important to have a well-defined reference model for building container platforms that guides container engineers and architects through the process of identifying platform concerns, patterns, components as well as the interactions between them in order to deliver a set of platform capabilities (service discovery, load balancing, security, and others) to support containerized applications using existing tooling.
As part of this session will also see how a container architecture has enabled real projects in their delivery of container platforms.
This document provides an overview of containerization with Docker and Amazon ECS. It discusses how Docker works and the benefits of containerization, such as enabling microservices and easier application migration. It then explains why AWS is a good choice for containerization due to its security, reliability, and scalability. The document dives into Amazon ECS, describing what it is, how it works, and key terminology. It concludes by outlining the six steps to containerize a microservice on ECS: create the microservice, create an ECR repository, create an ECS cluster, define the task, create a service, and run the application.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
AWS re:Invent 2016: Introduction to Container Management on AWS (CON303)Amazon Web Services
Managing and scaling hundreds of containers is a challenging task. A container management solution takes care of these challenges for you, allowing you to focus on developing your application. In this session, we cover the role and tasks of a container management solution and we analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other. We also see how you can easily get started with each of these solutions on AWS.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 김일호 솔루션스 아키텍트가 발표한 내용입니다.
내용 요약: 애플리케이션 개발시 컨테이너를 사용하면 복잡하면서도 확장성을 갖춘 애플리케이션을 좀 더 빠르게 만들 수 있습니다. AWS의 빠른 기술 혁신을 뒷받침하는 개발 환경을 고객 여러분께도 제공해 드리기 위해 개발된 서비스로 간단한 API를 이용해 EC2 인스턴스 클러스터 위에서 컨테이너를 구동할 수 있도록 해 주는 Amazon EC2 Container Service에 대해 소개하고, re:Invent에서 발표된 애플리케이션 생애주기 관리 서비스들인 AWS CodeDeploy와 AWS CodeCommit, AWS CodePipeline에 대해서도 다루도록 하겠습니다.
The ABC of Docker: The Absolute Best Compendium of DockerAniekan Akpaffiong
Containers provide a lightweight virtualization approach compared to virtual machines. Containers share the host operating system kernel and isolate applications at the process level, while virtual machines run a full guest operating system and require hypervisor software. Containers have a smaller footprint and overhead than virtual machines since they share resources more efficiently. Both containers and virtual machines provide portability and isolation benefits for applications.
Kubernetes: від знайомства до використання у CI/CDStfalcon Meetups
Kubernetes: від знайомства до використання у CI/CD
Олександр Занічковський
Technical Lead у компанії SoftServe
14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб
Працював фріланс-програмістом та в команді
Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями
Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
ознайомить з базовими поняттями та примітивами K8S
опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab
покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами
покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
A brief into into using Apache Cassandra with Kubernetes. We also covered Docker, Docker Swarm, DC/OS and some open source tools to help you get started.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. This provides many of the benefits of loading an application onto a virtual machine, as the application can be run on any suitable physical machine without any worries about dependencies.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
Containerization provides benefits like consistent environments, lightweight packages, and efficient resource utilization and isolation. Kubernetes is an open-source platform that provides tools to automate deployment, scaling, and management of containerized applications. It groups containerized applications into logical units called pods and uses labels to identify pods. It provides features like service discovery, load balancing, rolling updates, and self-healing capabilities. Kubernetes aims to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
Container orchestration automates the management of container lifecycles including deployment, scaling, networking, and load balancing. It offers benefits like simplified operations through managing complexity, resilience through automatic restarting of containers, and added security through reducing human error. Container orchestration tools like Docker Swarm and Kubernetes automate deploying and running containers across infrastructure, with Kubernetes being more suited for complex applications due to its advanced features and extensibility.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
More Related Content
Similar to Docker and Azure Kubernetes service.pptx
Docker is a containerization platform that packages applications into standardized units called containers. Azure Container Service simplifies creating clusters of virtual machines preconfigured to run containerized applications using open-source orchestration tools like Docker Swarm, DC/OS, and Kubernetes. The presentation demonstrated Docker and container orchestration on Azure through Visual Studio tools for building, debugging, and deploying containerized applications as well as a continuous integration/deployment pipeline using DC/OS on Azure Container Service.
Agenda
1. The changing landscape of IT Infrastructure
2. Containers - An introduction
3. Container management systems
4. Kubernetes
5. Containers and DevOps
6. Future of Infrastructure Mgmt
About the talk
In this talk, you will get a review of the components & the benefits of Container technologies - Docker & Kubernetes. The talk focuses on making the solution platform-independent. It gives an insight into Docker and Kubernetes for consistent and reliable Deployment. We talk about how the containers fit and improve your DevOps ecosystem and how to get started with containerization. Learn new deployment approach to effectively use your infrastructure resources to minimize the overall cost.
Structured Container Delivery by Oscar Renalias, AccentureDocker, Inc.
With tools like Docker Toolbox, the entry barrier to Docker and containers is rather low. However, it takes a lot more to design, build and run an entire container platform, at scale, for production applications.
This talk will focus on why it is important to have a well-defined reference model for building container platforms that guides container engineers and architects through the process of identifying platform concerns, patterns, components as well as the interactions between them in order to deliver a set of platform capabilities (service discovery, load balancing, security, and others) to support containerized applications using existing tooling.
As part of this session will also see how a container architecture has enabled real projects in their delivery of container platforms.
This document provides an overview of containerization with Docker and Amazon ECS. It discusses how Docker works and the benefits of containerization, such as enabling microservices and easier application migration. It then explains why AWS is a good choice for containerization due to its security, reliability, and scalability. The document dives into Amazon ECS, describing what it is, how it works, and key terminology. It concludes by outlining the six steps to containerize a microservice on ECS: create the microservice, create an ECR repository, create an ECS cluster, define the task, create a service, and run the application.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
AWS re:Invent 2016: Introduction to Container Management on AWS (CON303)Amazon Web Services
Managing and scaling hundreds of containers is a challenging task. A container management solution takes care of these challenges for you, allowing you to focus on developing your application. In this session, we cover the role and tasks of a container management solution and we analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other. We also see how you can easily get started with each of these solutions on AWS.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 김일호 솔루션스 아키텍트가 발표한 내용입니다.
내용 요약: 애플리케이션 개발시 컨테이너를 사용하면 복잡하면서도 확장성을 갖춘 애플리케이션을 좀 더 빠르게 만들 수 있습니다. AWS의 빠른 기술 혁신을 뒷받침하는 개발 환경을 고객 여러분께도 제공해 드리기 위해 개발된 서비스로 간단한 API를 이용해 EC2 인스턴스 클러스터 위에서 컨테이너를 구동할 수 있도록 해 주는 Amazon EC2 Container Service에 대해 소개하고, re:Invent에서 발표된 애플리케이션 생애주기 관리 서비스들인 AWS CodeDeploy와 AWS CodeCommit, AWS CodePipeline에 대해서도 다루도록 하겠습니다.
The ABC of Docker: The Absolute Best Compendium of DockerAniekan Akpaffiong
Containers provide a lightweight virtualization approach compared to virtual machines. Containers share the host operating system kernel and isolate applications at the process level, while virtual machines run a full guest operating system and require hypervisor software. Containers have a smaller footprint and overhead than virtual machines since they share resources more efficiently. Both containers and virtual machines provide portability and isolation benefits for applications.
Kubernetes: від знайомства до використання у CI/CDStfalcon Meetups
Kubernetes: від знайомства до використання у CI/CD
Олександр Занічковський
Technical Lead у компанії SoftServe
14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб
Працював фріланс-програмістом та в команді
Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями
Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
ознайомить з базовими поняттями та примітивами K8S
опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab
покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами
покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
A brief into into using Apache Cassandra with Kubernetes. We also covered Docker, Docker Swarm, DC/OS and some open source tools to help you get started.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. This provides many of the benefits of loading an application onto a virtual machine, as the application can be run on any suitable physical machine without any worries about dependencies.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
Containerization provides benefits like consistent environments, lightweight packages, and efficient resource utilization and isolation. Kubernetes is an open-source platform that provides tools to automate deployment, scaling, and management of containerized applications. It groups containerized applications into logical units called pods and uses labels to identify pods. It provides features like service discovery, load balancing, rolling updates, and self-healing capabilities. Kubernetes aims to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
Container orchestration automates the management of container lifecycles including deployment, scaling, networking, and load balancing. It offers benefits like simplified operations through managing complexity, resilience through automatic restarting of containers, and added security through reducing human error. Container orchestration tools like Docker Swarm and Kubernetes automate deploying and running containers across infrastructure, with Kubernetes being more suited for complex applications due to its advanced features and extensibility.
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WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
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Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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For Enquiry: Computer@scifat.com
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Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
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Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
1. Docker and
Azure Kubernetes Service
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PRESENTED BY:
ARIJIT PANDA
REGD NO: 2001289077
BRANCH:CSE
SECTION:A
UNDER THE SUPERVISION OF:
2. Containers
• Lightweight alternative to virtual machines
• Smaller, less expensive, faster to start up, and self-contained
Host Operating System
Hypervisor
Guest OS
Libraries
App
Guest OS
Libraries
App
Guest OS
Libraries
App
Operating System
Container Engine
Libraries
App
Libraries
App
Libraries
App
Virtual Machines
Containers
3. Docker
• Leading open-source
containerization platform
• Supported natively in Azure
Docker containers wrap up a piece of
software in a complete filesystem that
contains everything it needs to run: code,
runtime, system tools, system libraries –
anything you can install on a server. This
guarantees that it will always run the same,
regardless of the environment it is running in
5. Docker CLI
• Command-line interface for Docker, available for Linux, OS X,
and Windows (available separately or as part of Docker
Toolbox)
6. Running a Container
docker run -i -t ubuntu /bin/bash
Docker CLI
command
Run container
with interactive
terminal Pull "ubuntu"
image from
Docker Hub or
local registry
Command to
execute in the
container
7. Common Docker CLI Commands
docker run - Use an image to run a container
docker pull - Pull an image from a registry
docker build - Build a Docker image
docker exec - Execute a command in a container
docker stop - Stop a running container
docker images - List available Docker
images
docker ps - List running Docker containers
9. Container Orchestration
• Facilitates deployment and management of containers
• Containers by design are intended to be deployed in large
volumes with some applications using dozens to even
thousands of containers
• With this type of scale, automating container deployment and
management with orchestration software becomes necessary
• Azure Container service supports Kubernetes, DC/OS, and
Docker Swarm
10. Container Clusters
• Facilitate load balancing, scalability, and high availability
• A cluster is composed of master nodes which control the
orchestration, and agent nodes that host the containers
11. Kubernetes
• Open-source orchestration engine from Google
• Provides a robust framework for container orchestration, yet
remains lightweight and scalable
• Supported by Azure Container Service and tightly integrated
with ACS, allowing Kubernetes to modify deployments
12. AKS(Azure Kubernetes Service) Architecture
● High-level overview of AKS architecture: AKS uses
Kubernetes as its underlying container orchestration
platform. It consists of nodes, pods, and services.
● Kubernetes as the orchestrator in AKS: Kubernetes is an
open-source container orchestration system that
automates the deployment, scaling, and management of
containerized applications.
● Nodes, pods, and services in AKS: Nodes are the virtual
machines where containers run, pods are groups of one or
more containers that share resources, and services
provide networking and load balancing capabilities.
● Example: In AKS, you create a cluster of nodes, which are
virtual machines that run the containers. Within each
node, containers are grouped into pods, and services
provide networking and load balancing to ensure efficient
communication between the pods.
node
PODS
13.
14. Scaling and Load Balancing in AKS
● Horizontal and vertical scaling in AKS: AKS supports both horizontal
scaling (increasing or decreasing the number of replicas) and
vertical scaling (adjusting the resources allocated to each
container).
● Load balancing and service discovery: AKS provides built-in load
balancing mechanisms that distribute incoming traffic across
containers or pods. It also offers service discovery to dynamically
locate and communicate with other services within the cluster.
● Autoscaling based on metrics: AKS can automatically scale the
number of replicas based on predefined metrics, such as CPU
utilization or the number of incoming requests.
● Example: If you have a containerized web application running in AKS,
you can configure autoscaling to automatically increase the number
of replicas when the CPU utilization exceeds a certain threshold,
ensuring that the application can handle increased traffic without
manual intervention.
15. Real-world Use Cases
Use case 1: Microservices architecture with Docker and AKS
Docker and AKS enable the implementation of a microservices
architecture. Microservices break down an application into smaller,
independent services that can be developed, deployed, and scaled
separately.
Docker provides containerization, allowing each microservice to run in
isolated containers. AKS, with Kubernetes orchestration, simplifies
management and scaling.
Benefits:
● Scalability: Independent scaling of microservices optimizes resource
utilization.
● Independent deployment: Microservices can be deployed individually for
faster updates.
● Fault isolation: Containerized microservices minimize the impact of
failures.
16. Real-world Use Cases
Use case 2: DevOps and agile development
Docker and AKS support DevOps and agile development
practices for faster software delivery.
Benefits:
● Faster releases: Docker enables consistent and repeatable
application deployment, reducing errors and enabling quicker
release cycles.
● Collaboration: Docker and AKS facilitate collaboration between
development and operations teams by providing standardized
containers and simplified infrastructure management.
● Efficient resource utilization: AKS allows running multiple
containers on a single node, optimizing infrastructure utilization.
17. CONCLUSION
Docker and AKS offer significant benefits for application
development and deployment. Docker provides portability,
scalability, rapid deployment, and automation through
containerization. AKS simplifies container orchestration and
management with features like scalability and load
balancing.
Containerization and orchestration are crucial in modern
application development, allowing for efficient resource
utilization and seamless deployment across different
environments. As containerization continues to evolve,
emerging trends such as serverless containers and multi-
cloud deployments are gaining prominence.
<a href="https://www.freepik.com/free-photos-vectors/business">Business vector created by freepik - www.freepik.com</a>
A virtual machine is -- well -- a virtualized machine created and managed by a hypervisor such as VirtualBox or Hyper-V. Even though a VM runs on a machine that has an operating system, each VM requires its own complete operating system, even if it's the same operating system as the host OS. VMs offer a very high degree of isolation, but at a cost: longer startup times, lower portability (ever tried to move a 127 GB virtual hard disk, or VHD, from one PC to another?), and higher memory requirements. Containers, by contrast, leverage the operating system that is already in place but offer nearly as much separation. RAM requirements are lower since the OS isn't being duplicated in each container, and cost is lower, too, because while cloud platforms typically charge for each VM, a single VM can host multiple container instances.
Docker (www.docker.com) isn't the world's only containerization platform, but it is the most popular. It is free, open-source, and Linux-based, with Windows support (Windows Server 2016) in the works. It has earned massive mindshare in the developer community. And with Azure Container Service, you can deploy Docker containers to Azure with minimal effort. Moreover, Docker containers are easily moved between Azure and Amazon Web Services (AWS), affording developers portability between cloud platforms.
Docker utilizes a client-server architecture. You execute Docker commands through a Docker client such as the Docker CLI or Kitematic. The client uses REST commands to communicate with the Docker daemon running on a Docker host such as the Azure Container services. These commands can be used to push, pull (docker pull), and create Docker images, to run them in containers, and to manage those containers. Images can be built with the docker build command, and they can be stand-alone, or they can "inherit" from other images. Images are stored in Docker registries, which can be public or private, local or remote. Docker Hub is a popular public registry that is managed by Docker; it contains a "huge collection" of images that anyone may use. The docker run command runs a container using an image as a template.
The Docker Client, also known as the Docker CLI, is the primary tool you use to manage Docker containers. You can download container images from repositories such as Docker Hub, build container images, run container instances, list container images and instances, and much more. After connecting to Azure Container Service using SSH, you can use port forwarding to execute commands locally that act on an Azure Container Service running in the cloud. In this example, the -H switch used with the docker commands forwards commands sent to port 22375 on localhost to the Azure Container Services via SSH.
This command pulls the image named "Ubuntu" from Docker Hub (or a local registry if the image is cached there) and runs it interactively in a container. "Interactively" means standard input, output, and error are connected locally so you can provide input to the container and see its output. Of course, you are not limited to the "Ubuntu" image. You can specify other images and even create images of your own with docker build. Where the container runs depends on the context. The container can run locally in a docker host (for example, a VM on Windows), or it can remotely if you connect to a remote Docker daemon (for example, one running in Azure) via SSH tunneling and use port forwarding to forward docker commands to the daemon.
These are some of the most commonly used docker commands. You can also use docker push to push an image to a registry such as Docker Hub. Also, docker ps is often accompanied by a -a switch to list all containers, including those that are no longer running, while docker rm and docker rmi are used to delete (remove) containers and images, respectively. The docker build command uses a Dockerfile (a text file containing build commands) and a "context" -- for example, a specified directory in the file system -- to build Docker images.
From the documentation: "Azure Container Service makes it simpler for you to create, configure, and manage a cluster of virtual machines that are preconfigured to run containerized applications. It uses an optimized configuration of popular open-source scheduling and orchestration tools. This enables you to use your existing skills, or draw upon a large and growing body of community expertise, to deploy and manage container-based applications on Microsoft Azure." ACS supports Linux containers and Windows containers. The latter rely on Windows Server 2016.
Orchestration in the context of containers is the deployment and management of containers across infrastructure and networks. It provides the tools and software defined infrastructure needed to deploy containers. Containers by design are intended to be deployed in large volumes with some applications using dozen to even thousands of containers. With this type of scale, automating deployment and management of containers with Orchestration Software becomes necessary.
A container cluster is intended to have redundancy for load balancing, scalability, and high availability. A cluster is composed of one or more Master Nodes which control the orchestration for scaling and delegation of tasks to the agents as well as provide monitoring. The Agent Nodes actually run the container loads.
Kubernetes is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure.
With Kubernetes, you are able to quickly and efficiently respond to customer demand:
Deploy your applications quickly and predictably.
Scale your applications on the fly.
Seamlessly roll out new features.
Optimize use of your hardware by using only the resources you need.