AKS reduces the complexity of managing Kubernetes by offloading operations to Azure. It allows easy creation and management of Kubernetes clusters through simple CLI commands. AKS supports advanced networking features in Azure like VNET integration and ingress controllers. It also enables integration with other Azure services for storage, databases, and monitoring through open service brokers.
This document provides an overview of Azure Kubernetes Service (AKS). It begins with introductions to containers and Kubernetes, then describes AKS's architecture and features. AKS allows users to quickly deploy and manage Kubernetes clusters on Azure without having to manage the master nodes. It reduces the operational complexity of running Kubernetes in production. The document outlines how to interact with AKS using the Azure portal, CLI, and ARM templates. It also lists AKS features like identity and access control, scaling, storage integration, and monitoring.
Lets talk about: Azure Kubernetes Service (AKS)Pedro Sousa
The document discusses the evolution of container technologies over time, including Kubernetes. It then summarizes several Azure services for containers including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Web App for Containers. The remainder of the document focuses on AKS, providing an overview and roadmap for implementing the AKS solution on Azure.
1. The document provides an overview of containers, Kubernetes, and Azure Kubernetes Service (AKS).
2. It discusses how AKS can be used to deploy and manage containerized applications on Kubernetes clusters hosted on Azure.
3. The document also covers key AKS concepts like namespaces, services, ingress, storage, and auto-scaling capabilities.
This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.
DevSecOps in the Cloud from the Lens of a Well-Architected Framework.pptxTurja Narayan Chaudhuri
- DevSecOps integrates security as a shared responsibility throughout the IT lifecycle by automating security gates to keep the DevOps workflow from slowing down. Architecture matters as it represents significant design decisions that shape a system's structure and behavior. Non-functional requirements like security, reliability and deployability are important for architecture. DevSecOps principles extend architectural best practices by enforcing the same non-functional requirements across the development lifecycle. We need to ensure DevSecOps practices are based on architectural foundations to fulfill business needs now and in the future.
In this session, we will show how to simplify the deployment, management, and operations of Kubernetes using Azure Container Service (AKS). We will demonstrate how to use Brigade - a framework for scripting together multiple tasks and executing them inside of containers and Kashti - an open source reporting dashboard web interface to easily manage and visualize their Brigade events and projects through a web browser. Additionally, we will provide comparisons of the wide variety of tools in the Kubernetes ecosystem for CI/CD, observability, storage and networking.
AKS reduces the complexity of managing Kubernetes by offloading operations to Azure. It allows easy creation and management of Kubernetes clusters through simple CLI commands. AKS supports advanced networking features in Azure like VNET integration and ingress controllers. It also enables integration with other Azure services for storage, databases, and monitoring through open service brokers.
This document provides an overview of Azure Kubernetes Service (AKS). It begins with introductions to containers and Kubernetes, then describes AKS's architecture and features. AKS allows users to quickly deploy and manage Kubernetes clusters on Azure without having to manage the master nodes. It reduces the operational complexity of running Kubernetes in production. The document outlines how to interact with AKS using the Azure portal, CLI, and ARM templates. It also lists AKS features like identity and access control, scaling, storage integration, and monitoring.
Lets talk about: Azure Kubernetes Service (AKS)Pedro Sousa
The document discusses the evolution of container technologies over time, including Kubernetes. It then summarizes several Azure services for containers including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Web App for Containers. The remainder of the document focuses on AKS, providing an overview and roadmap for implementing the AKS solution on Azure.
1. The document provides an overview of containers, Kubernetes, and Azure Kubernetes Service (AKS).
2. It discusses how AKS can be used to deploy and manage containerized applications on Kubernetes clusters hosted on Azure.
3. The document also covers key AKS concepts like namespaces, services, ingress, storage, and auto-scaling capabilities.
This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.
DevSecOps in the Cloud from the Lens of a Well-Architected Framework.pptxTurja Narayan Chaudhuri
- DevSecOps integrates security as a shared responsibility throughout the IT lifecycle by automating security gates to keep the DevOps workflow from slowing down. Architecture matters as it represents significant design decisions that shape a system's structure and behavior. Non-functional requirements like security, reliability and deployability are important for architecture. DevSecOps principles extend architectural best practices by enforcing the same non-functional requirements across the development lifecycle. We need to ensure DevSecOps practices are based on architectural foundations to fulfill business needs now and in the future.
In this session, we will show how to simplify the deployment, management, and operations of Kubernetes using Azure Container Service (AKS). We will demonstrate how to use Brigade - a framework for scripting together multiple tasks and executing them inside of containers and Kashti - an open source reporting dashboard web interface to easily manage and visualize their Brigade events and projects through a web browser. Additionally, we will provide comparisons of the wide variety of tools in the Kubernetes ecosystem for CI/CD, observability, storage and networking.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
(DVO202) DevOps at Amazon: A Look At Our Tools & ProcessesAmazon Web Services
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
The document describes Amazon EKS (Elastic Container Service for Kubernetes), including an overview of EKS, its architecture, features, and integration with other AWS services. Key points include: EKS manages Kubernetes control planes and nodes are launched in the customer's VPC, EKS supports networking via the AWS VPC CNI plugin, and EKS provides security and access management using IAM roles and policies.
The document discusses Microsoft's Azure multi-cloud and hybrid solutions. It describes how organizations' IT environments are becoming more complex with diverse infrastructure across locations, datacenters, edge devices, and public clouds. It introduces Azure Arc which allows organizations to connect and manage hybrid infrastructure as well as run Azure services across platforms. It provides an overview of Azure's capabilities for multi-cloud, hybrid, and edge computing including Azure Stack, Azure Arc, and security and management solutions for hybrid environments.
Washington DC MuleSoft Meetup: CI/CD Pipeline with MuleSoft and Azure DevOpsBig Compass
Catherine Wills, a MuleSoft consultant from Big Compass, presented on setting up a CI/CD pipeline with MuleSoft and Azure DevOps. She discussed key concepts like CI/CD, DevOps, branching strategies, and components of Azure DevOps like boards, repos, pipelines, and releases. The presentation included a demo of creating a sample CI/CD pipeline using Mule runtime, Anypoint Studio, Azure DevOps, and deployment targets like CloudHub and Runtime Fabric. Attendees could participate in trivia questions during the presentation.
This document provides an overview and agenda for a developer 2 developer webcast series on microservice architecture and container technologies. It includes details on upcoming webcasts in March and April 2017 focused on microservice architecture, Azure container service, Pivotal cloud foundry, and RedHat OpenShift. The document also advertises a webcast on RedHat OpenShift presented by John Archer on containerization with OpenShift and how it enables modern application development.
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
AWS provides several security capabilities and services to increase privacy and control infrastructure access. Built-in firewalls allow you to create private networks within AWS, and also control network access to your instances and subnets. Identity and access management capabilities enable you to define individual user accounts with permissions across AWS resources. AWS also provides tools and features that enable you to see exactly what’s happening in your AWS environment. In this session, you will gain an understanding of preventive and detective controls at the infrastructure level on AWS. We will cover Identity and Access Management as well as the security aspects of Amazon EC2, Virtual Private Cloud (VPC), Elastic Load Balancing (ELB), and CloudTrail.
AWS Control Tower is a new AWS service for cloud administrators to set up and govern their secure, compliant, multi-account environments on AWS.
In this session, University of York will discuss their implementation of AWS Landing Zone. We’ll also explain how AWS Control Tower automates AWS Landing Zone creation with best-practice blueprints.
The document discusses the skills measured in the Microsoft Azure Fundamentals certification exam (AZ-900). It covers understanding cloud concepts, core Azure services, security, privacy, compliance and trust on Azure, and Azure pricing and support. For each section, it lists the specific topics covered at a high level, such as cloud deployment models, Azure identity services, compliance standards, subscription and cost management options, and service level agreements.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
This document provides an overview of AWS networking fundamentals including VPC concepts such as IP addressing, subnets, routing, security groups, and connecting VPCs. It discusses choosing IP address ranges and creating subnets across availability zones. It also covers routing and traffic flow, DNS options, network security using security groups and network ACLs, and VPC flow logs. Methods for connecting VPCs like VPC peering, Transit Gateway, VPN connections, and Direct Connect are also summarized.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is an upcoming managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
This document discusses microservices and containers, and how Kubernetes can be used for container orchestration. It begins with an overview of microservices and the benefits of breaking monolithic applications into independent microservices. It then discusses how containers can be used to package and deploy microservices, and introduces Docker as a container platform. Finally, it explains that as container usage grows, an orchestrator like Kubernetes is needed to manage multiple containers and microservices, and provides a high-level overview of Kubernetes' architecture and capabilities for scheduling, self-healing, scaling, and other management of containerized applications.
DRAFT: Extend Industry Well-Architected Frameworks to focus on Data and business outcomes. Addition of Data to the cloud framework will resolve fragmented approaches that customers are struggling with respect to data placement within various cloud providers.
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
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
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes services handle load balancing, networking, and execution of containers across a cluster of nodes. It addresses challenges in managing containers at scale through features like deployment and rolling update of containers, self-healing, resource allocation and monitoring.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
(DVO202) DevOps at Amazon: A Look At Our Tools & ProcessesAmazon Web Services
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
The document describes Amazon EKS (Elastic Container Service for Kubernetes), including an overview of EKS, its architecture, features, and integration with other AWS services. Key points include: EKS manages Kubernetes control planes and nodes are launched in the customer's VPC, EKS supports networking via the AWS VPC CNI plugin, and EKS provides security and access management using IAM roles and policies.
The document discusses Microsoft's Azure multi-cloud and hybrid solutions. It describes how organizations' IT environments are becoming more complex with diverse infrastructure across locations, datacenters, edge devices, and public clouds. It introduces Azure Arc which allows organizations to connect and manage hybrid infrastructure as well as run Azure services across platforms. It provides an overview of Azure's capabilities for multi-cloud, hybrid, and edge computing including Azure Stack, Azure Arc, and security and management solutions for hybrid environments.
Washington DC MuleSoft Meetup: CI/CD Pipeline with MuleSoft and Azure DevOpsBig Compass
Catherine Wills, a MuleSoft consultant from Big Compass, presented on setting up a CI/CD pipeline with MuleSoft and Azure DevOps. She discussed key concepts like CI/CD, DevOps, branching strategies, and components of Azure DevOps like boards, repos, pipelines, and releases. The presentation included a demo of creating a sample CI/CD pipeline using Mule runtime, Anypoint Studio, Azure DevOps, and deployment targets like CloudHub and Runtime Fabric. Attendees could participate in trivia questions during the presentation.
This document provides an overview and agenda for a developer 2 developer webcast series on microservice architecture and container technologies. It includes details on upcoming webcasts in March and April 2017 focused on microservice architecture, Azure container service, Pivotal cloud foundry, and RedHat OpenShift. The document also advertises a webcast on RedHat OpenShift presented by John Archer on containerization with OpenShift and how it enables modern application development.
온디맨드 다시보기: https://www.youtube.com/watch?v=LMBSWl9Uo-4
2021년 1분기에 서울 리전에 출시 예정인 AWS Control Tower는 모범 사례를 기반으로 고객의 다중 AWS 계정 환경을 자동으로 구성해 줍니다. 본 세션에서는 AWS Control Tower를 활용하여 고객의 조직에서 필요로 하는 다중 AWS 계정 구조을 설계 및 구현하고, 각 계정에 포함해야 하는 기본 가드레일을 정의 및 생성하고, 거버넌스 체계를 구현하는 방법에 대해서 다룹니다.
AWS provides several security capabilities and services to increase privacy and control infrastructure access. Built-in firewalls allow you to create private networks within AWS, and also control network access to your instances and subnets. Identity and access management capabilities enable you to define individual user accounts with permissions across AWS resources. AWS also provides tools and features that enable you to see exactly what’s happening in your AWS environment. In this session, you will gain an understanding of preventive and detective controls at the infrastructure level on AWS. We will cover Identity and Access Management as well as the security aspects of Amazon EC2, Virtual Private Cloud (VPC), Elastic Load Balancing (ELB), and CloudTrail.
AWS Control Tower is a new AWS service for cloud administrators to set up and govern their secure, compliant, multi-account environments on AWS.
In this session, University of York will discuss their implementation of AWS Landing Zone. We’ll also explain how AWS Control Tower automates AWS Landing Zone creation with best-practice blueprints.
The document discusses the skills measured in the Microsoft Azure Fundamentals certification exam (AZ-900). It covers understanding cloud concepts, core Azure services, security, privacy, compliance and trust on Azure, and Azure pricing and support. For each section, it lists the specific topics covered at a high level, such as cloud deployment models, Azure identity services, compliance standards, subscription and cost management options, and service level agreements.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
This document provides an overview of AWS networking fundamentals including VPC concepts such as IP addressing, subnets, routing, security groups, and connecting VPCs. It discusses choosing IP address ranges and creating subnets across availability zones. It also covers routing and traffic flow, DNS options, network security using security groups and network ACLs, and VPC flow logs. Methods for connecting VPCs like VPC peering, Transit Gateway, VPN connections, and Direct Connect are also summarized.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is an upcoming managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.
This document discusses microservices and containers, and how Kubernetes can be used for container orchestration. It begins with an overview of microservices and the benefits of breaking monolithic applications into independent microservices. It then discusses how containers can be used to package and deploy microservices, and introduces Docker as a container platform. Finally, it explains that as container usage grows, an orchestrator like Kubernetes is needed to manage multiple containers and microservices, and provides a high-level overview of Kubernetes' architecture and capabilities for scheduling, self-healing, scaling, and other management of containerized applications.
DRAFT: Extend Industry Well-Architected Frameworks to focus on Data and business outcomes. Addition of Data to the cloud framework will resolve fragmented approaches that customers are struggling with respect to data placement within various cloud providers.
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
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
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes services handle load balancing, networking, and execution of containers across a cluster of nodes. It addresses challenges in managing containers at scale through features like deployment and rolling update of containers, self-healing, resource allocation and monitoring.
This document provides an outline and overview of a Kubernetes training course on AWS cloud. It covers Kubernetes fundamentals like pods, replica sets, deployments, and services. It also discusses running Kubernetes on AWS EKS, including the architecture of EKS clusters and core components like control planes, worker nodes, and Fargate profiles. Various command line tools for managing EKS clusters are also mentioned like AWS CLI, kubectl, and eksctl.
Docker and Azure Kubernetes service.pptxArzitPanda
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.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
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.
Amazon EKS Architecture in detail including CNI/Networking, IAM, Provisioning, Shared Responsibility Model, Project Calico, Load Balancing, Logging/Metrics, CI/CD using AWS CodePipeline, CodeCommit, CodeBuild, Lambda, Amazon ECR and Parameter Store and finally the use of Spot Instances which could yield a savings of 70-90% versus conventional on-demand EC2 instances.
Kubernetes Cluster vs Nodes vs Pods vs Containers Comparisonjeetendra mandal
Containers package applications and dependencies to run consistently across environments. Kubernetes uses containers grouped in pods, which are scheduled across nodes that provide computing resources. Nodes pool resources and run pods to distribute workloads, ensuring applications have necessary resources. Pods contain related containers and act as logical hosts, while nodes are physical or virtual machines that run pods.
Kubernetes-introduction to kubernetes for beginers.pptxrathnavel194
Kubernetes is an open source tool that provides automation and management of containerized applications across a cluster of nodes. It handles tasks like scheduling, deployment, scaling, and healing of containers. The main components include a master node with controllers and an API server, and worker nodes running kubelet and kube-proxy. Core objects in Kubernetes include pods to group related containers, services for discovery and load balancing, and deployments to declaratively manage replicated applications.
Kubernetes is an open-source tool for managing containerized applications across clusters of nodes. It provides capabilities for deployment, maintenance, and scaling of applications. The document discusses Kubernetes concepts like pods, deployments, services, namespaces and components like the API server, scheduler and kubelet. It also covers Kubernetes commands and configuration using objects like config maps, secrets, volumes and labels.
Getting started with google kubernetes engineShreya Pohekar
This document provides an overview of Google Kubernetes Engine. It begins with introductions and defines key concepts like virtualization, containerization, Docker, and Kubernetes. It then explains what Kubernetes is and how it can orchestrate container infrastructure on-premises or in the cloud. Various Kubernetes architecture elements are outlined like pods, replica sets, deployments, and services. Security features are also summarized, including pod security policies, network policies, and using security contexts. The document concludes with a demonstration of Kubernetes Engine.
Getting Started with Amazon EKS (Managed Kubernetes)Tanya Seno
This document discusses containers, Docker, Kubernetes, and Amazon EKS. It defines containers as software packages with all dependencies, and notes that Docker allows for easy creation and management of containerized applications. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. Amazon EKS is defined as AWS's managed Kubernetes service, which handles the Kubernetes control plane and allows customers to manage worker nodes. The document provides an overview of key Kubernetes concepts like pods, services, deployments and explains how EKS integrates with other AWS services.
Visualpath provides top-quality Certified Kubernetes Security Specialist Training Worldwide led by real-time instructors. We offer daily recordings and presentations for reference. Enroll for a Free Demo. Call +91-9989971070.
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kubernetes is a provision and orchestration tool. It is used automating app deployments. It can be used easily scaling the deployments. It's self healing natures makes the process of application deployment and maintenance easier.
Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. The tool has the facility to seamelessly upgrade the deployment versions. Kubernetes is a portable, extensible, open source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.
Containers are similar to VMs, but they have relaxed isolation properties to share the Operating System (OS) among the applications. Therefore, containers are considered lightweight. Similar to a VM, a container has its own filesystem, share of CPU, memory, process space, and more. As they are decoupled from the underlying infrastructure, they are portable across clouds and OS distributions.
Containers have become popular because they provide extra benefits, such as:
Agile application creation and deployment: increased ease and efficiency of container image creation compared to VM image use.
Continuous development, integration, and deployment: provides for reliable and frequent container image build and deployment with quick and efficient rollbacks (due to image immutability).
Dev and Ops separation of concerns: create application container images at build/release time rather than deployment time, thereby decoupling applications from infrastructure.
Observability: not only surfaces OS-level information and metrics, but also application health and other signals.
Environmental consistency across development, testing, and production: runs the same on a laptop as it does in the cloud.
Cloud and OS distribution portability: runs on Ubuntu, RHEL, CoreOS, on-premises, on major public clouds, and anywhere else.
Application-centric management: raises the level of abstraction from running an OS on virtual hardware to running an application on an OS using logical resources.
Loosely coupled, distributed, elastic, liberated micro-services: applications are broken into smaller, independent pieces and can be deployed and managed dynamically – not a monolithic stack running on one big single-purpose machine.
Resource isolation: predictable application performance.
Resource utilization: high efficiency and density. Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Kubernetes provides you with:
Service discovery and load
How to scale pods and nodes under heavy load? On k8s / AKS we have few options, like horizontal-pod-autoscaler or cluster autoscaler.
In this talk I show these options through some examples.
The document discusses Docker and Kubernetes tools for Visual Studio code. It provides an overview of Docker, how to build Docker images using Dockerfiles, and how to use the Docker extension in VS Code. It also covers developing applications inside Docker containers using the Remote - Containers extension. Finally, it gives a basic introduction to Kubernetes, including nodes, pods, deployments, and services. The presenter demonstrates creating a Dockerfile and deploying to Kubernetes.
Azure Search is a search-as-a-service cloud solution
that gives developers APIs and tools for adding a rich search experience
over private, heterogenous content in web, mobile, and enterprise applications.
This document provides an overview of Kubernetes and microservices architecture. It discusses the challenges with monolithic applications and benefits of microservices. Key Kubernetes concepts are explained like masters, nodes, objects, pods, services and deployments. Azure Kubernetes Service (AKS) is introduced as a way to simplify deploying and managing Kubernetes clusters on Azure without having to self-host the Kubernetes infrastructure.
This document provides an introduction to searching with Elasticsearch. It demonstrates how to perform basic searches on an indexed Twitter dataset using curl commands. It also summarizes Elasticsearch concepts like inverted indexes, analyzers, tokenization, normalization, and filters. Elasticsearch.NET and NEST clients for .NET Core are briefly compared.
This document provides an overview of Azure Dev Spaces, which allows developers to share an Azure Kubernetes Service (AKS) cluster for building and testing applications. It discusses challenges with manually hosting Kubernetes clusters and benefits of AKS, which simplifies Kubernetes deployment and management. Azure Dev Spaces enables developers to test code end-to-end on an AKS cluster without needing to replicate or simulate dependencies. It also allows easy onboarding of new team members with minimal machine setup required. The document concludes with a demonstration of Azure Dev Spaces.
Azure functions: from a function to a whole application in 60 minutesAlessandro Melchiori
This document discusses Azure Functions and serverless computing. It describes how Azure Functions evolved from WebJobs and provides a lightweight way to run .NET code on Azure without having to manage infrastructure. Functions can be triggered by events and use bindings to integrate with data sources. The document demonstrates how to create Function Apps locally or on Azure using the CLI or portal, and how to configure runtime versions and bindings. It also introduces the Durable Functions extension for orchestrating function workflows and chaining or fan out/fan in functions.
This document provides an overview of Kubernetes and microservices architectures. It discusses the differences between monolithic and microservices applications and the advantages and disadvantages of each. It then introduces Kubernetes, including its origins at Google, components like the master, nodes, and objects. It covers management techniques like imperative commands, imperative object configuration, and declarative object configuration. Finally, it discusses key Kubernetes concepts like pods, services, and deployments. It also compares manually hosting a Kubernetes cluster to using Azure Kubernetes Service.
How to build a monitoring system for docker from scratch and how to use Azure Operations Management Suite (aka OMS) to collect info about docker cluster deployment
This document discusses cooking Akka.Net and Service Fabric together. It provides an overview of Service Fabric architecture including its cluster model and application model. It describes Service Fabric Reliable Actors and Reliable Collections. It demonstrates Service Fabric Reliable Actors, integrating Service Fabric and Akka.Net, and using Service Fabric for persistence with Akka.Net. It also covers upgrading Service Fabric applications.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
The document discusses Docker and Azure. It provides an overview of Docker's architecture including registries, images and containers. It describes how Docker can be used to implement microservices with a layered architecture. It then discusses using private registries like Docker Hub or building your own, as well as Azure Container Registry. It demonstrates running dockerized applications on a single VM, cluster with orchestrator, or Azure Container Service. It also demonstrates a CI/CD pipeline and questions are taken at the end.
Introduzione al protocollo websocket e come implementarlo "manualmente" in un'applicazione asp.net
SignalR: architettura di base, come utilizzare la libreria nei nostri progetti e come configurare i "backplane" per scenari di scale-out.
Quick-overview sulla nuova versione di SignalR per dot.net core
This document provides an overview of Azure Service Fabric, including:
1) Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices and containers.
2) It allows applications to be composed of small, independent processes called microservices that can communicate with each other.
3) Service Fabric handles deployment, scaling and management of microservice applications and containers, enabling developers to focus on writing code without having to deal with infrastructure details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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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!
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2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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7. What are microservices
service - oriented architecture
composed of loosely coupled elements
that have bounded context
Adrian Cockcroft
“
”
8. What are microservices
service - oriented architecture
composed of loosely coupled elements
that have bounded context
Adrian Cockcroft
“
”
Services talk with each other over the network
9. What are microservices
service - oriented architecture
composed of loosely coupled elements
that have bounded context
Adrian Cockcroft
“
”
You can update the services
independently;
updating one service doesn’t require
changing any other service
10. What are microservices
service - oriented architecture
composed of loosely coupled elements
that have bounded context
Adrian Cockcroft
“
”Self-contained; you can update the code without knowing
anything about the internals of other microservices
15. ● Born in Google
● Donated to CNCF in 2014
● Open source (Apache 2.0)
● v1.0 July 2015
● Written in Go/Golang
● Code is on GitHub (where otherwise?)
K8s: some infos
16. Kubernetes is a cluster technology.
It means that you will see a cluster of computers
as one entity. You will not deploy an application
on a specific computer, but somewhere in the
cluster
What’s Kubernetes (k8s)
17. K8s 101 - Nodes
Each computer in the cluster is called a node.
Eventually, the nodes will host your applications.
The nodes can be spread throughout the world in
different data centers
18. K8s 101 - Pods
Pods are the smallest unit you will eventually
deploy to the cluster.
A single Pod can hold multiple containers.
19. K8s 101 - Deployments
Deployments are requirements you give to
Kubernetes regarding your applications (Pods)
20. K8s 101 - Services
Services are an abstract way to expose an
application running on a set of Pods as a
network service.
24. Imperative commands
PRO:
● Commands are simple, easy to learn
and easy to remember.
● Commands require only a single step
to make changes to the cluster
CONS:
● Commands do not integrate with change
review processes.
● Commands do not provide an audit trail
associated with changes.
25. Imperative object configuration
In imperative object configuration, the kubectl command specifies the operation
(create, replace, etc.), optional flags and at least one file name.
The file specified must contain a full definition of the object in YAML or JSON format.
kubectl create -f nginx.yaml
26. Imperative object configuration
PRO:
● Object configuration can be stored in
a source control system such as Git
(vs. imperative commands)
● It’s simpler and easier to understand
(vs. declarative object configuration)
CONS:
● Object configuration requires basic
understanding of the object schema
(vs. imparative commands)
● It works best on files, not directories
(vs. declarative object configuration)
● Updates to live objects must be reflected
in configuration files, or they will be lost
during the next replacement
(vs. declarative object configuration)
27. Declarative object configuration
Using declarative object configuration, a user operates on object configuration files stored
locally, however the user does not define the operations to be taken on the files.
Create, update, and delete operations are automatically detected per-object by kubectl.
kubectl apply -f configs/
28. Declarative object configuration
PRO:
● Changes made directly to live objects
are retained, even if they are not merged
back into the configuration files
● It has better support for operating
on directories and automatically
detecting operation types per-object
CONS:
● Declarative object configuration is harder
to debug
32. Kubernetes cluster architecture
A Kubernetes cluster is divided into two components:
Control plane nodes provide the core Kubernetes
services and orchestration of application
workloads
34. Control plane
When you create an AKS cluster, a control plane
is automatically created and configured.
This control plane is provided as a managed
Azure resource abstracted from the user.
There's no cost for the control plane, only the
nodes that are part of the AKS cluster.
35. Nodes and node pools
To run your applications and
supporting services, you need a
Kubernetes node.
An AKS cluster has one or more nodes,
which is an Azure virtual machine (VM)
that runs the Kubernetes node
components and container runtime
36. Nodes resource reservation
Node resources are utilized by AKS to make the
node function as part of your cluster.
This can create a discrepancy between your
node's total resources and the resources
allocatable when used in AKS.
Don’t Forget!
37. Node pools
Nodes of the same configuration are grouped together into
node pools.
A Kubernetes cluster contains one or more node pools
When you scale or upgrade an AKS cluster, the action is
performed against the default node pool.
You can also choose to scale or upgrade a specific node
pool.
39. AKS networking
To allow access to your applications, or for application components to communicate with each
other, Kubernetes provides an abstraction layer to virtual networking. Kubernetes nodes are
connected to a virtual network, and can provide inbound and outbound connectivity for pods.
The kube-proxy component runs on each node to provide these network features.
To simplify the network configuration for application workloads, Kubernetes uses Services
to logically group a set of pods together and provide network connectivity.
40. AKS networking: Cluster IP
Creates an internal IP address for use within the AKS cluster.
Good for internal-only applications that support other workloads within the cluster.
41. AKS networking: NodePort
Creates a port mapping on the underlying node that allows the application to be accessed
directly with the node IP address and port.
42. AKS networking: Load balancer
Creates an Azure load balancer resource, configures an external IP address, and connects the
requested pods to the load balancer backend pool.
43. AKS networking: ingress controller
The LoadBalancer only works at layer 4 - the Service is unaware of the actual applications,
and can't make any additional routing considerations. Ingress controllers work at layer 7,
and can use more intelligent rules to distribute application traffic.
44. Azure Virtual Networks
In AKS, you can deploy a cluster that uses one of the following two network models:
● Kubenet networking - The network resources are typically created and configured
as the AKS cluster is deployed.
● Azure Container Networking Interface (CNI) networking - The AKS cluster is connected
to existing virtual network resources and configurations.
46. Storage options for AKS applications
The core concepts that provide storage
to your applications in AKS are:
● Volumes
● Persistent volumes
● Storage classes
● Persistent volume claims
47. AKS storage options
A volume represents a way to store, retrieve, and persist data across pods and through
the application lifecycle. Volumes that are defined and created as part of the pod lifecycle
only exist until the pod is deleted.
You can manually create these data volumes to be assigned to pods directly,
or have Kubernetes automatically create them.
48. AKS storage options
Traditional volumes to store and retrieve data are created as Kubernetes resources backed by
Azure Storage. These data volumes can use Azure Disks or Azure Files:
- Azure Disks can be used to create a Kubernetes DataDisk resource.
Azure Disks are mounted as ReadWriteOnce, so are only available to a single pod. For
storage volumes that can be accessed by multiple pods simultaneously, use Azure Files.
- Azure Files can be used to mount an SMB 3.0 share backed by an Azure Storage account
to pods. Files let you share data across multiple nodes and pods.
51. Manually scale pods or nodes
kubectl scale --replicas=5 deployment/azure-vote-front
az aks scale `
--resource-group myResourceGroup `
--name myAKSCluster `
--node-count 3
52. Autoscale pods: HPA
Kubernetes uses the horizontal pod
autoscaler (HPA) to monitor the resource
demand and automatically scale
the number of replicas.
When you configure the horizontal pod
autoscaler, you define the minimum and
maximum number of replicas that can run.
You also define the metric to monitor and
base any scaling decisions on.
53. Cluster autoscaler
To respond to changing pod demands,
Kubernetes has a cluster autoscaler,
that adjusts the number of nodes based
on the requested compute resources
in the node pool.
Cluster autoscaler is typically used alongside
the horizontal pod autoscaler.
54. ACI integration
Virtual nodes are deployed to an additional subnet in the same virtual network as your AKS cluster.
This virtual network configuration allows the traffic between ACI and AKS to be secured.
55. Kubernetes event-driven autoscale (KEDA)
KEDA is a single-purpose and lightweight
component that can be added into any
Kubernetes cluster.
KEDA works alongside standard Kubernetes
components like the horizontal pod autoscaler
and can extend functionality without
overwriting or duplication.
56.
57. Microservice architecture
THE “GOOD”
● An application is sum of its components
● Better fault isolation
● Components can be spread across
multiple servers
THE “BAD”
● Many components, many moving parts
● Difficult to manage inter-communication
● Manual management can be difficult