Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
Running more than one containerized application in production makes teams look for solutions to quickly deploy and orchestrate containers. One of the most popular options is the open-source project Kubernetes. With the release of the Amazon Elastic Container Service for Kubernetes (EKS), engineering teams now have access to a fully managed Kubernetes control plane and time to focus on building applications. This workshop will deliver hands-on labs to support you getting familiar with Amazon's EKS.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Kubernetes is a platform for managing containerized workloads and services that provides a container-centric management environment. It aims to provide high utilization, high availability, minimize fault recovery time, and reduce the probability of correlated failures through a declarative job specification language, name service integration, real-time job monitoring, and analyzing and simulating system behavior using APIs and dashboards. Kubernetes can manage 100,000s of jobs, 1000s of applications across multiple clusters each with 10,000s of machines.
This document discusses container security, providing a brief history of containers, security benefits and challenges of containers, and approaches to container vulnerability management and responding to attacks. It notes that while containers are not new, their adoption has increased rapidly in recent years. The document outlines security advantages like smaller surface areas but also challenges like managing vulnerabilities across many moving parts. It recommends strategies like using official images, hardening hosts, scanning for vulnerabilities, and practicing incident response for containers.
Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
Running more than one containerized application in production makes teams look for solutions to quickly deploy and orchestrate containers. One of the most popular options is the open-source project Kubernetes. With the release of the Amazon Elastic Container Service for Kubernetes (EKS), engineering teams now have access to a fully managed Kubernetes control plane and time to focus on building applications. This workshop will deliver hands-on labs to support you getting familiar with Amazon's EKS.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Kubernetes is a platform for managing containerized workloads and services that provides a container-centric management environment. It aims to provide high utilization, high availability, minimize fault recovery time, and reduce the probability of correlated failures through a declarative job specification language, name service integration, real-time job monitoring, and analyzing and simulating system behavior using APIs and dashboards. Kubernetes can manage 100,000s of jobs, 1000s of applications across multiple clusters each with 10,000s of machines.
This document discusses container security, providing a brief history of containers, security benefits and challenges of containers, and approaches to container vulnerability management and responding to attacks. It notes that while containers are not new, their adoption has increased rapidly in recent years. The document outlines security advantages like smaller surface areas but also challenges like managing vulnerabilities across many moving parts. It recommends strategies like using official images, hardening hosts, scanning for vulnerabilities, and practicing incident response for containers.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
Kubernetes 101 - an Introduction to Containers, Kubernetes, and OpenShiftDevOps.com
Administrators and developers are increasingly seeking ways to improve application time to market and improve maintainability. Containers and Red Hat® OpenShift® have quickly become the de facto solution for agile development and application deployment.
Red Hat Training has developed a course that provides the gateway to container adoption by understanding the potential of DevOps using a container-based architecture. Orchestrating a container-based architecture with Kubernetes and Red Hat® OpenShift® improves application reliability and scalability, decreases developer overhead, and facilitates continuous integration and continuous deployment.
In this webinar, our expert will cover:
An overview of container and OpenShift architecture.
How to manage containers and container images.
Deploying containerized applications with Red Hat OpenShift.
An outline of Red Hat OpenShift training offerings.
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
Docker and Kubernetes provide tools for deploying and managing applications in containers. Docker allows packaging applications into containers that can be run on any Linux machine. Kubernetes provides a platform for automating deployment, scaling, and management of containerized applications. It groups related containers that make up an application into logical units called pods and provides mechanisms for service discovery, load balancing, and configuration management across a cluster. Many cloud providers now offer managed Kubernetes services to deploy and run containerized applications on their infrastructure.
Azure Kubernetes Service (AKS) is a managed container orchestration service that allows users to deploy, scale, and manage containerized applications. It offers fully managed Kubernetes clusters, enabling end-to-end deployment, scalability, and high availability. AKS manages the control plane of Kubernetes which includes components like etcd and the API server, allowing users to focus on managing applications. It provides a way to deploy and manage containerized applications without having to stand up or manage Kubernetes infrastructure.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
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)
GitOps with Amazon EKS Anywhere by Dan BudrisWeaveworks
Watch this recording here: https://youtu.be/U2n3oYuIIfc
Amazon EKS Anywhere is an open-source tool which helps you create and manage Kubernetes clusters on-premises. EKS Anywhere allows you to manage your Kubernetes clusters in a scalable and declarative manner with the help of GitOps, powered under-the-hood with CNCF Flux. In this session, Dan will share how EKS Anywhere integrates with Flux and uses GitOps workflows to manage the cluster lifecycle.
Resources:
AWS EKS Anywhere on GitHub: https://github.com/aws/eks-anywhere
AWS EKS Anywhere: https://aws.amazon.com/eks/eks-anywhere/
AWS EKS Anywhere docs site: https://anywhere.eks.amazonaws.com/
AWS EKS Anywhere: Managing a Cluster with GitOps: https://anywhere.eks.amazonaws.com/docs/tasks/cluster/cluster-flux/
Speaker Bio:
Dan is a Software Engineer on the AWS EKS Anywhere team, working on tools to help developers easily build and manage Kubernetes clusters on premises. In the past, Dan has worked as a System Administrator, DevOps Engineer, SRE, gardener, cook and professional door-knocker. When he’s not helping to build EKS Anywhere you can find him weeding the garden or in the kitchen working his way through another cookbook.
This document provides an overview of Azure Container Apps. It discusses the different container options in Azure, including Container Instance, App Service, Kubernetes Service, and Kubernetes on VMs. It presents Container Apps as a simpler option compared to Kubernetes that provides auto-scaling and other capabilities without managing a Kubernetes cluster. The rest of the document demonstrates Container Apps features like environments, containers, revisions, Dapr for microservice management, and KEDA for auto-scaling. It provides pricing information and the presenter's wish list for future Container Apps capabilities. In summary, the presenter believes Container Apps is a promising evolution from Container Instance but not yet production ready.
Azure Arc offers simplified management, faster app development, and consistent Azure services. Easily organize, govern, and secure Windows, Linux, SQL Server, and Kubernetes clusters across data centers, the edge, and multicloud environments right from Azure. Architect, design, and build cloud-native apps anywhere without sacrificing central visibility and control. Get Azure innovation and cloud benefits by deploying consistent Azure data, application, and machine learning services on any infrastructure.
Gain central visibility, operations, and compliance
Centrally manage a wide range of resources including Windows and Linux servers, SQL server, Kubernetes clusters, and Azure services.
Establish central visibility in the Azure portal and enable multi-environment search with Azure Resource Graph.
Meet governance and compliance standards for apps, infrastructure, and data with Azure Policy.
Delegate access and manage security policies for resources using role-based access control (RBAC) and Azure Lighthouse.
Organize and inventory assets through a variety of Azure scopes, such as management groups, subscriptions, resource groups, and tags.
Learn more about hybrid and multicloud management in the Microsoft Cloud Adoption Framework for Azure.
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Docker is a tool that allows users to package applications into containers to run on Linux servers. Containers provide isolation and resource sharing benefits compared to virtual machines. Docker simplifies deployment of containers by adding images, repositories and version control. Popular components include Dockerfiles to build images, Docker Hub for sharing images, and Docker Compose for defining multi-container apps. Docker has gained widespread adoption due to reducing complexity of managing containers across development and operations teams.
Red Hat OpenShift 4 allows for automated and customized deployments. The Full Stack Automation method fully automates installation and updates of both the OpenShift platform and Red Hat Enterprise Linux CoreOS host operating system. The Pre-existing Infrastructure method allows OpenShift to be deployed on user-managed infrastructure, where the customer provisions resources like load balancers and DNS. Both methods use the openshift-install tool to generate ignition configs and monitor the cluster deployment.
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
The document discusses software reliability engineering (SRE) practices for managing Kubernetes clusters. It describes how SRE teams use infrastructure as code, continuous integration/delivery (CI/CD), monitoring, logging, incident response processes, and other methodologies to ensure reliability and reduce toil. The document recommends that organizations adopt SRE practices gradually by starting small, defining standards, and working closely with development teams.
How to build your containerization strategyDocker, Inc.
The Docker Enterprise Edition platform helps customers deploy and manage applications faster and it secures the application pipeline at a lower cost than traditional application delivery models. But it takes more than just great technology to achieve the desired results. The organization and culture of your enterprise directly impacts what you transform, how it’s done, and who does it. Success requires a strategy for how you will govern the Docker EE container platform, how to assess your application estate, what your delivery pipeline will look like, and how to ensure developers, operators, security teams and others play nicely together.
In this talk I will cover topics such as different types of workloads (legacy, microservices, FaaS, big data, ...), how your org chart can influence whether you deploy a CaaS (Containers as a Service) vs CLaaS (Clusters as a Service), how "shifting left" can determine if you can outsource, centralized vs distributed CI/CD and how containers play a role, transforming your pets into cattle, how giant whale balloons are used for onboarding, and a prescriptive and comprehensive methodology for successfully deploying Docker in your enterprise.
The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
Docker EE 2.0 choice security agility by Erik Tan,Tech Insights Singapore - 2...Ashnikbiz
Docker EE 2.0 provides choice, security and agility for container management. It offers more than just containers and orchestration, including lifecycle management, governance, security and automation features. Docker EE can run on various operating systems and clouds while maintaining a consistent experience. It supports both traditional and microservices applications. Docker continues to drive Windows container adoption and now supports running Kubernetes on Windows Server. Docker Desktop introduces template-based workflows to simplify containerization for more developers.
Docker and Microsoft - Windows Server 2016 Technical Deep DiveDocker, Inc.
This document summarizes a webinar about Docker and Windows Server 2016. It discusses how Docker is now supported on 98% of enterprise workloads, including Windows Server 2016, providing the same benefits of Docker on Linux to Windows developers and IT professionals. It outlines how Microsoft and Docker partnered to port Docker Engine to Windows, and how Docker images can now be built and run across Linux and Windows. It provides examples of using Docker with Windows Server 2016 for development/testing and migrating applications.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
Kubernetes 101 - an Introduction to Containers, Kubernetes, and OpenShiftDevOps.com
Administrators and developers are increasingly seeking ways to improve application time to market and improve maintainability. Containers and Red Hat® OpenShift® have quickly become the de facto solution for agile development and application deployment.
Red Hat Training has developed a course that provides the gateway to container adoption by understanding the potential of DevOps using a container-based architecture. Orchestrating a container-based architecture with Kubernetes and Red Hat® OpenShift® improves application reliability and scalability, decreases developer overhead, and facilitates continuous integration and continuous deployment.
In this webinar, our expert will cover:
An overview of container and OpenShift architecture.
How to manage containers and container images.
Deploying containerized applications with Red Hat OpenShift.
An outline of Red Hat OpenShift training offerings.
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
Docker and Kubernetes provide tools for deploying and managing applications in containers. Docker allows packaging applications into containers that can be run on any Linux machine. Kubernetes provides a platform for automating deployment, scaling, and management of containerized applications. It groups related containers that make up an application into logical units called pods and provides mechanisms for service discovery, load balancing, and configuration management across a cluster. Many cloud providers now offer managed Kubernetes services to deploy and run containerized applications on their infrastructure.
Azure Kubernetes Service (AKS) is a managed container orchestration service that allows users to deploy, scale, and manage containerized applications. It offers fully managed Kubernetes clusters, enabling end-to-end deployment, scalability, and high availability. AKS manages the control plane of Kubernetes which includes components like etcd and the API server, allowing users to focus on managing applications. It provides a way to deploy and manage containerized applications without having to stand up or manage Kubernetes infrastructure.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
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)
GitOps with Amazon EKS Anywhere by Dan BudrisWeaveworks
Watch this recording here: https://youtu.be/U2n3oYuIIfc
Amazon EKS Anywhere is an open-source tool which helps you create and manage Kubernetes clusters on-premises. EKS Anywhere allows you to manage your Kubernetes clusters in a scalable and declarative manner with the help of GitOps, powered under-the-hood with CNCF Flux. In this session, Dan will share how EKS Anywhere integrates with Flux and uses GitOps workflows to manage the cluster lifecycle.
Resources:
AWS EKS Anywhere on GitHub: https://github.com/aws/eks-anywhere
AWS EKS Anywhere: https://aws.amazon.com/eks/eks-anywhere/
AWS EKS Anywhere docs site: https://anywhere.eks.amazonaws.com/
AWS EKS Anywhere: Managing a Cluster with GitOps: https://anywhere.eks.amazonaws.com/docs/tasks/cluster/cluster-flux/
Speaker Bio:
Dan is a Software Engineer on the AWS EKS Anywhere team, working on tools to help developers easily build and manage Kubernetes clusters on premises. In the past, Dan has worked as a System Administrator, DevOps Engineer, SRE, gardener, cook and professional door-knocker. When he’s not helping to build EKS Anywhere you can find him weeding the garden or in the kitchen working his way through another cookbook.
This document provides an overview of Azure Container Apps. It discusses the different container options in Azure, including Container Instance, App Service, Kubernetes Service, and Kubernetes on VMs. It presents Container Apps as a simpler option compared to Kubernetes that provides auto-scaling and other capabilities without managing a Kubernetes cluster. The rest of the document demonstrates Container Apps features like environments, containers, revisions, Dapr for microservice management, and KEDA for auto-scaling. It provides pricing information and the presenter's wish list for future Container Apps capabilities. In summary, the presenter believes Container Apps is a promising evolution from Container Instance but not yet production ready.
Azure Arc offers simplified management, faster app development, and consistent Azure services. Easily organize, govern, and secure Windows, Linux, SQL Server, and Kubernetes clusters across data centers, the edge, and multicloud environments right from Azure. Architect, design, and build cloud-native apps anywhere without sacrificing central visibility and control. Get Azure innovation and cloud benefits by deploying consistent Azure data, application, and machine learning services on any infrastructure.
Gain central visibility, operations, and compliance
Centrally manage a wide range of resources including Windows and Linux servers, SQL server, Kubernetes clusters, and Azure services.
Establish central visibility in the Azure portal and enable multi-environment search with Azure Resource Graph.
Meet governance and compliance standards for apps, infrastructure, and data with Azure Policy.
Delegate access and manage security policies for resources using role-based access control (RBAC) and Azure Lighthouse.
Organize and inventory assets through a variety of Azure scopes, such as management groups, subscriptions, resource groups, and tags.
Learn more about hybrid and multicloud management in the Microsoft Cloud Adoption Framework for Azure.
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Docker is a tool that allows users to package applications into containers to run on Linux servers. Containers provide isolation and resource sharing benefits compared to virtual machines. Docker simplifies deployment of containers by adding images, repositories and version control. Popular components include Dockerfiles to build images, Docker Hub for sharing images, and Docker Compose for defining multi-container apps. Docker has gained widespread adoption due to reducing complexity of managing containers across development and operations teams.
Red Hat OpenShift 4 allows for automated and customized deployments. The Full Stack Automation method fully automates installation and updates of both the OpenShift platform and Red Hat Enterprise Linux CoreOS host operating system. The Pre-existing Infrastructure method allows OpenShift to be deployed on user-managed infrastructure, where the customer provisions resources like load balancers and DNS. Both methods use the openshift-install tool to generate ignition configs and monitor the cluster deployment.
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
The document discusses software reliability engineering (SRE) practices for managing Kubernetes clusters. It describes how SRE teams use infrastructure as code, continuous integration/delivery (CI/CD), monitoring, logging, incident response processes, and other methodologies to ensure reliability and reduce toil. The document recommends that organizations adopt SRE practices gradually by starting small, defining standards, and working closely with development teams.
How to build your containerization strategyDocker, Inc.
The Docker Enterprise Edition platform helps customers deploy and manage applications faster and it secures the application pipeline at a lower cost than traditional application delivery models. But it takes more than just great technology to achieve the desired results. The organization and culture of your enterprise directly impacts what you transform, how it’s done, and who does it. Success requires a strategy for how you will govern the Docker EE container platform, how to assess your application estate, what your delivery pipeline will look like, and how to ensure developers, operators, security teams and others play nicely together.
In this talk I will cover topics such as different types of workloads (legacy, microservices, FaaS, big data, ...), how your org chart can influence whether you deploy a CaaS (Containers as a Service) vs CLaaS (Clusters as a Service), how "shifting left" can determine if you can outsource, centralized vs distributed CI/CD and how containers play a role, transforming your pets into cattle, how giant whale balloons are used for onboarding, and a prescriptive and comprehensive methodology for successfully deploying Docker in your enterprise.
The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
Docker EE 2.0 choice security agility by Erik Tan,Tech Insights Singapore - 2...Ashnikbiz
Docker EE 2.0 provides choice, security and agility for container management. It offers more than just containers and orchestration, including lifecycle management, governance, security and automation features. Docker EE can run on various operating systems and clouds while maintaining a consistent experience. It supports both traditional and microservices applications. Docker continues to drive Windows container adoption and now supports running Kubernetes on Windows Server. Docker Desktop introduces template-based workflows to simplify containerization for more developers.
Docker and Microsoft - Windows Server 2016 Technical Deep DiveDocker, Inc.
This document summarizes a webinar about Docker and Windows Server 2016. It discusses how Docker is now supported on 98% of enterprise workloads, including Windows Server 2016, providing the same benefits of Docker on Linux to Windows developers and IT professionals. It outlines how Microsoft and Docker partnered to port Docker Engine to Windows, and how Docker images can now be built and run across Linux and Windows. It provides examples of using Docker with Windows Server 2016 for development/testing and migrating applications.
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Docker - A high level introduction to dockers and containersDr Ganesh Iyer
A high level introduction to Dockers and Containers. Many of the slides are not mine.I used the slides I got from Internet and prepared the rest of the slides based on my understand form various blogs and other google info.
This document discusses using Docker containers to deploy high performance computing (HPC) applications across private and public clouds. It begins with an abstract describing cloud bursting using Docker containers when demand spikes. The introduction provides background on Docker, a container-based virtualization technology that is more lightweight than hypervisor-based virtual machines. The authors implement a model for deploying distributed applications using Docker containers, which have less overhead than VMs since they share the host operating system and libraries. The system overview shows the process of creating Docker images of web applications, deploying them to containers on private cloud, and bursting to public cloud when thresholds are exceeded. The implementation details installing Docker and deploying applications within containers on the private cloud, then pushing the images
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
VMworld 2015: Container Orchestration with the SDDCVMworld
This document provides an overview of VMware's approach to container orchestration with the software-defined data center (SDDC). It discusses new business imperatives around agile development and cloud-native applications. VMware aims to make the developer a first-class user of the data center by turning infrastructure into an API and supporting open standards. The presentation introduces vSphere Integrated Containers and Photon Platform, which unite VMware technologies to provide a unified hybrid platform and cloud-native platform optimized for containers at scale respectively.
Techdays SE 2016 - Micros.. err MicrocosmosMike Martin
Mike Martin is an architect at Crosspoint Solutions who works with Windows Azure and containers. Containers provide isolated runtime environments for applications with their own dependencies and share the host operating system kernel. Container engines provide lightweight virtualization and enable "deploy anywhere" approaches. Microsoft is working to integrate containers and Docker with Windows Server, Visual Studio, and Azure to provide container-based development and deployment capabilities across platforms.
Introduction to Docker - Vellore Institute of TechnologyAjeet Singh Raina
- The document introduces Docker, including what problem it solves for software development workflows, its key concepts and terminology, and how to use Docker to build, ship, and run containers.
- It compares Docker containers to virtual machines and discusses Docker's build process using Dockerfiles and images composed of layers.
- Hands-on demos are provided for running a first Docker container, building an image with Dockerfile, and using Docker Compose to run multi-container apps.
- Later sections cover Docker Swarm for clustering multiple Docker hosts and running distributed apps across nodes, demonstrated through a Raspberry Pi example.
Increase security, evolve your datacentre, and innovate faster with Microsoft Windows Server 2016—the cloud-ready operating system.
Learn more about:
» Windows Server 2016 as the 4th Era of Windows Server
» Editions & features
» Hardware requirements
» Features:
• Nano server
• Containers
• Hyper-V Hot-Add Virtual Hardware
• Nested Virtualization
Building specialized container-based systems with Moby: a few use cases
This talk will explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud or bare metal scenarios. We will cover Moby itself, the framework, and tooling around the project, as well as many of it’s components: LinuxKit, InfraKit, containerd, SwarmKit, Notary. Then we will present a few use cases and demos of how different companies have leveraged Moby and some of the Moby components to create their own container-based systems.
- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
Docker Enterprise Edition Overview by Steven Thwaites, Technical Solutions En...Ashnikbiz
This was presented by Steven Thwaites, Technical Solutions Engineer at Docker at Cloud Expo Asia. Docker is the only Containers-as-a-Service platform for IT that manages and secures diverse applications across disparate infrastructure, both on-premises and in the cloud. It covers topics like:
VMs vs Containers
The Docker Ecosystem
How to Build and Ship your Docker Image
Unique Advantages with Docker EE and more
An introduction to the Moby Project and LinuxKit. The demo essentially walked through the LinuxKit examples available on Github at https://github.com/linuxkit/linuxkit paying specific attention to the linuxkit.yml nginx example in the home directory, and the redis-os example in the examples directory.
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
Docker Bday #5, SF Edition: Introduction to DockerDocker, Inc.
In celebration of Docker's 5th birthday in March, user groups all around the world hosted birthday events with an introduction to Docker presentation and hands-on-labs. We invited Docker users to recognize where they were on their Docker journey and the goal was to help them take the next step of their journey with the help of mentors. This presentation was done at the beginning of the events (this one is from the San Francisco event in HQ) and gives a run down of the birthday event series, Docker's momentum, a basic explanation of containers, the benefits of using the Docker platform, Docker + Kubernetes and more.
Cloud foundry Docker Openstack - Leading Open Source TriumvirateAnimesh Singh
OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations? OpenStack, Docker, and Cloud Foundry are the three most popular open source projects according to a recent cloud software survey. Docker has taken the cloud world by storm as a revolutionary way to not only run isolated application containers, but also to package them. But how does Docker fit into the paradigm of IaaS and PaaS? More specifically, how does it integrate with OpenStack and Cloud Foundry, the world's most popular infrastructure and platform service implementations?
These charts from our OpenStack Summit talk Vancouver talk how the three leading open source cloud technologies are evolving to work together to support next generation workloads!
This document discusses Azure AI on-premises using Docker containers. It covers Microsoft Cognitive Services, Docker, and Azure Cognitive Services containers. The key points are:
- Microsoft Cognitive Services are AI algorithms that can be consumed via REST APIs to solve problems in areas like computer vision, natural language processing, and speech recognition.
- Docker containers allow these cognitive services to run locally on-premises for applications that cannot send data to the cloud. The containers package the services and their dependencies to run consistently on any infrastructure.
- A live demo will show how to utilize Docker containers for Azure Cognitive Services on an on-premises server to bring AI capabilities locally without needing internet access. Questions will be
Accelerate Application Innovation Journey with Azure Kubernetes Service WinWire Technologies Inc
Regardless of your organization’s size or industry, migrating to the public cloud and Kubernetes is burdened with business and technical risk. Managing Kubernetes clusters, applying blueprint to clusters and adding requisite governance and control are just a few hurdles that can stall your application modernization journey.
Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading much of the complexity and operational overhead.
In this session, you will learn:
- Introduction and architecture of AKS
- Best practices in adopting Azure Kubernetes Service
- How to monitor and optimize AKS
Improving customer relationships is a top concern for most businesses today. Cloud solutions and technologies have made it easier than ever for businesses to implement solutions that drive customer engagement. Yet, at the same time, the abundance of choice has added to the complexity and anxiety of decision-makers. How do you decide where to invest your limited –and valuable– resources to best help your company compete for customers?
Watch these slides to learn about some of the top CRM trends to watch in 2020. In this session, you will learn:
– Where does CRM fit within the modern, digital enterprise
– What are the top CRM trends to watch in 2020
– How can you take advantage of these trends
Organizations are grappling to manually classify and create an inventory for distributed and heterogeneous data assets to deliver value. However, the new Azure service for enterprises – Azure Synapse Analytics is poised to help organizations and fill the gap between data warehouses and data lakes.
One of the biggest announcements at the Microsoft Ignite 2019 is Azure Arc – the hybrid and multi-cloud platform from Microsoft.
View this content to learn how Azure Arc allows enterprises to manage on-prem and cloud resources like Windows VMs, Linux Servers, Kubernetes clusters, and Azure data services by centrally organizing and governing from a single place.
The modern workplace is evolving at a rapid pace. It’s a concern for organizations as teams operate from multiple geographies, adopting innovative business models, and rising complexities concerning security. Are you facing issues in building a modern workplace?
If yes, view this recorded version to learn how to ‘Build a Modern Workplace using Microsoft Teams.’ In this session, you will hear:
Introduction to Microsoft Teams and why it’s imperative to adopt
Highlights from the recent updates on Teams
Top use cases and business scenarios
Build distributed, highly scalable applications in .NET using Microsoft OrleansWinWire Technologies Inc
Real-time services such as e-commerce, online gaming, and social media demand an interactive, dynamic cloud computing application and platform as their workload continues to grow. However, designing those scalable and reliable computing applications can be complicated and challenging. Are you facing such challenges?
If yes, view this slides to learn how to ‘Build distributed, highly scalable applications in .NET using Microsoft Orleans’. In this slides, you will find out:
- How to build a scalable computing application
- How to protect applications from perils of concurrency
- The need to simplify programming in the cloud
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
This document provides an overview of the key stages and best practices for migrating from Box to OneDrive. It discusses:
1) Planning the migration including assessing content, preparing the OneDrive environment, and user onboarding.
2) Remediating content issues during the assessment stage such as file name lengths or blocked file types.
3) Preparing the OneDrive environment including pre-provisioning users.
4) Conducting a pilot migration and then migrating the remainder of content while considering throttling limits.
5) User onboarding including training, communications and handling any downtime during the migration process.
One of the major concerns for most organizations considering cloud services is security in the cloud. Are you looking to secure your cloud environment or services, no matter what they may be – data, operating system, domain or applications from intrusion and vulnerabilities? Azure Active Directory is Microsoft's multi-tenant, cloud-based directory, and identity management service helping secure your cloud and on-premise environments.
In this presentation, we discussed Azure Active Directory (Azure AD) Identity Protection, Conditional Access, Identity Management which uses AI and machine learning capabilities to help secure your cloud environment – Office 365 and Azure. In this session, we discussed
Advanced features of Azure AD
Demonstrate the detection capabilities, and real-time prevention
The document discusses hybrid cloud applications using Azure and Azure Stack. It describes Azure Stack as an extension of Azure that allows using Azure services on-premises. Data and applications can be shared between private and public clouds using a hybrid cloud environment. The document also covers data migration to Azure SQL Database Managed Instance, hybrid identity using Azure AD Connect, and hybrid CI/CD pipelines that allow deploying applications to both Azure and Azure Stack.
The document discusses Microsoft Teams, a chat-based workspace in Office 365 that brings together chat, meetings, files and tools. It allows teams to communicate through chat and video calls, collaborate using integrated apps like SharePoint, OneNote and Planner, and customize the workspace with third-party apps and bots. Teams offers security, compliance and manageability features from Office 365 and can be used across various business scenarios. The document outlines best practices for rolling out Teams and integrating it with existing systems and processes.
In this session, you will learn about
• What hybrid is, common hybrid scenarios and best practices
• How to develop a hybrid strategy – Keep certain components on-premise while taking advantages of cloud
• How to successfully implement hybrid – SharePoint and Office 365 environments
• How to take advantage of Azure capabilities to extend the features of Office 365 to support existing customizations
Looking to build intelligent apps that will get to market faster or create apps by stitching together valuable and complementary functionality from various sources?
Azure serverless helps you quickly build and deploy cloud-scale enterprise applications in Azure leveraging Azure’s key serverless offerings – Functions, Logic Apps, and Event Grid.
Serverless computing is the abstraction of servers, infrastructure, and operating systems. Azure Serverless allows you to focus on building and deploying your code without worrying about managing servers. Once deployed, you can trust Azure to scale your code in real-time as per need, and you pay for only the resources you use.
Microsoft Dynamics CRM provides the accurate and timely unified view of the customer that businesses need to run customer-centric businesses. Most importantly, it empowers organizations to establish a more meaningful and personalized experience with their customers at the right time on the right channel. The webinar highlighted on:
• Cloud vs. On-premise options
• Navigation and dashboards
• Entities and Customization options
• Extending the system using familiar IDE
• Customer Stories
Microsoft’s Application Modernization enables you to design and architect enterprise solutions leveraging Microsoft Azure while ensuring the security of your data and integration with your other line-of-business systems.
In this webinar, you can learn about:
• Hybrid IT infrastructure planning
• Design considerations for cloud-hosted apps and data
• Changing world of app development, management & deployment for cloud
• Ensure security, scalability and LOB integration for modern apps
Modern Data Security for the Enterprises – SQL Server & Azure SQL DatabaseWinWire Technologies Inc
The webinar talked about the layers of data protection, important security features, potential scenarios in which these features can be applied to limit exposure to security threats and best practices for securing business applications and data. We covered following topics on SQL Server 2016 and Azure SQL Database security features
• Access Level Control
• Data Encryption
• Monitoring
This document summarizes the key steps and considerations for migrating from the eRoom collaboration platform to Microsoft Office 365 and SharePoint. It outlines a 6-step methodology: 1) analyzing the existing eRoom environment and content; 2) mapping eRoom features to Office 365; 3) evaluating migration tools; 4) conducting a pilot migration; 5) learning from the pilot to finalize the migration plan; and 6) performing post-migration checks. The goal is to streamline the data transfer, preserve metadata and security settings, and help users leverage new Office 365 collaboration features.
This webinar session introduced the basics of Azure (topics below) allowing you to get online and start working in the Azure environment.
• Azure Portal Demo
• Azure VMs
• Azure Storage
• Azure SQL
• Azure Connectivity options to the Data Center
• Understanding ASP.NET Core 1.0 (ASP.NET 5) and why it will replace Classic ASP.NET.
• ASP.NET Core 1.0 - What has changed?
• ASP.NET Core 1.0 - Reviving .NET.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on: