Jacksonville Users Group Presentation on how to integrate Angular2 and Spring Boot Microservices. It also shows you how to containerize an Angular2 app as a Node.js application and Spring Boot. The code can be found in http://github.com/erwindev.
Best Practices for Running Kafka on Docker ContainersBlueData, Inc.
Docker containers provide an ideal foundation for running Kafka-as-a-Service on-premises or in the public cloud. However, using Docker containers in production environments for Big Data workloads using Kafka poses some challenges – including container management, scheduling, network configuration and security, and performance.
In this session at Kafka Summit in August 2017, Nanda Vijyaydev of BlueData shared lessons learned from implementing Kafka-as-a-Service with Docker containers.
https://kafka-summit.org/sessions/kafka-service-docker-containers
Docker Online Meetup: Infrakit update and Q&ADocker, Inc.
While working on Docker for AWS and Azure, we realized the need for a standard way to create and manage infrastructure state that was portable across any type of infrastructure, from different cloud providers to on-prem. One challenge is that each vendor has differentiated IP invested in how they handle certain aspects of their cloud infrastructure. It is not enough to just provision five servers; what IT ops teams need is a simple and consistent way to declare the number of servers, what size they should be, and what sort of base software configuration is required. And in the case of server failures (especially unplanned), that sudden change needs to be reconciled against the desired state to ensure that any required servers are re-provisioned with the necessary configuration. We started InfraKit to solves these problems and to provide the ability to create a self healing infrastructure for distributed systems.
Orchestrating Docker Containers with Google Kubernetes on OpenStackTrevor Roberts Jr.
Kubernetes, Docker, CoreOS, and OpenStack for container workload management.
No audio, but there are annotations to follow along with the workload.
A video accompanies a Microservices Meetup talk that I presented on February 18, 2015 at https://www.youtube.com/watch?v=RfyIYhOzyPY
Acknowledgements to Kelsey Hightower for the workflow that I used, and Google for the example application shown.
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 Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Best Practices for Running Kafka on Docker ContainersBlueData, Inc.
Docker containers provide an ideal foundation for running Kafka-as-a-Service on-premises or in the public cloud. However, using Docker containers in production environments for Big Data workloads using Kafka poses some challenges – including container management, scheduling, network configuration and security, and performance.
In this session at Kafka Summit in August 2017, Nanda Vijyaydev of BlueData shared lessons learned from implementing Kafka-as-a-Service with Docker containers.
https://kafka-summit.org/sessions/kafka-service-docker-containers
Docker Online Meetup: Infrakit update and Q&ADocker, Inc.
While working on Docker for AWS and Azure, we realized the need for a standard way to create and manage infrastructure state that was portable across any type of infrastructure, from different cloud providers to on-prem. One challenge is that each vendor has differentiated IP invested in how they handle certain aspects of their cloud infrastructure. It is not enough to just provision five servers; what IT ops teams need is a simple and consistent way to declare the number of servers, what size they should be, and what sort of base software configuration is required. And in the case of server failures (especially unplanned), that sudden change needs to be reconciled against the desired state to ensure that any required servers are re-provisioned with the necessary configuration. We started InfraKit to solves these problems and to provide the ability to create a self healing infrastructure for distributed systems.
Orchestrating Docker Containers with Google Kubernetes on OpenStackTrevor Roberts Jr.
Kubernetes, Docker, CoreOS, and OpenStack for container workload management.
No audio, but there are annotations to follow along with the workload.
A video accompanies a Microservices Meetup talk that I presented on February 18, 2015 at https://www.youtube.com/watch?v=RfyIYhOzyPY
Acknowledgements to Kelsey Hightower for the workflow that I used, and Google for the example application shown.
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 Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Docker Datacenter Overview and Production Setup SlidesDocker, Inc.
An overview on Docker Data Center and Universal Control Plane. We will cover how to install for production and integrate Docker Trusted Registry.
Led by DDC + UCP Champ:
Vivek Saraswat
Experience Level: Attendees need no prior experience with Docker, but should be familiar with basic linux command-line.
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It includes key components like Pods, Services, ReplicationControllers, and a master node for managing the cluster. The master maintains state using etcd and schedules containers on worker nodes, while nodes run the kubelet daemon to manage Pods and their containers. Kubernetes handles tasks like replication, rollouts, and health checking through its API objects.
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
- Introduction to Kubernetes features
- A look at Kubernetes Networking and Service Discovery
- New features in Kubernetes 1.6
- Kubernetes Installation options
To know more about our Kubernetes expertise, visit our center of excellence at: http://www.opcito.com/kubernetes/
The document discusses the importance of diversity and inclusion in the workplace. It notes that a diverse workforce leads to better problem solving and decision making by bringing in a variety of perspectives. The document recommends that companies implement diversity training for all employees and promote a culture of acceptance across differences to reap the benefits of diversity.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. The document discusses how to set up a Swarm cluster in three steps: 1) Create a key-value store, 2) Run the Swarm manager container, and 3) Configure Docker daemon arguments on hosts. It also provides an example of running a microservices voting application on Swarm and references additional example repositories.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It was originally developed by Google based on years of experience running production workloads at scale. Kubernetes groups containers into logical units called pods and handles tasks like scheduling, health checking, scaling and rollbacks. The main components include a master node that manages the cluster and worker nodes that run application containers scheduled by the master.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
Orchestrating Linux Containers while tolerating failuresDocker, Inc.
lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.
Bitbucket Pipelines - Powered by KubernetesNathan Burrell
This talk covers how pipelines uses Kubernetes to power its builder infrastructure and shares some tips on running Kubernetes at scale in a secure way.
This presentation was presented to the sydney Kubernetes meetup on the 3rd of August 2017.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...Nati Shalom
Video recording: https://www.youtube.com/watch?v=tGlIgUeoGz8
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
Session link from teh summit: https://openstacksummitmay2015vancouver.sched.org/event/abd484e0dedcb9774edda1548ad47518#.VV5eh5NViko
Compare Docker deployment options in the public cloudSreenivas Makam
The document compares different options for deploying Docker containers in public clouds, including Docker Machine, Docker's custom cloud solutions, cloud provider container-as-a-service (CaaS) offerings, and Docker's own CaaS solutions. It outlines various parameters for comparing the options such as orchestration, management, networking, storage, registry integration, cloud integration, application definition format, Docker version/upgrades, enterprise features, and cost. The document provides architectures for some of the solutions and recommends which options may be best for different use cases based on factors like production use, VM/container mix, hybrid/multi-cloud, and Kubernetes preference.
Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus, Inc)
Senior DevOps engineer, more than 10 years in IT.
AWS, Chef, Ansible, Kubernetes, Docker, Hadoop.
Best customers: Symantec, CloudMade
Kubernetes is up and running, what's next? We will talk about recent experience with Kubernetes-centric Serverless technologies. Concepts, overview of 2 frameworks: funktion from RedHat's Fabric8 and Kubeless. How they stand against AWS Lambda and how they rely on Kubernetes internals to do what they are doing.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Kubernetes Architecture - beyond a black box - Part 1Hao H. Zhang
This is part 1 of my Kubernetes architecture deep-dive slide series.
I have been working with Kubernetes for more than a year, from v1.3.6 to v1.6.7, and I am a CNCF certified Kubernetes administrator. Before I move on to something else, I would like to summarize and share my knowledges and take-aways about Kubernetes, from a software engineer perspective.
This set of slides is a humble dig into one level below your running application in production, revealing how different components of Kubernetes work together to orchestrate containers and present your applications to the rest of the world.
The slides contains 80+ external links to Kubernetes documentations, blog posts, Github issues, discussions, design proposals, pull requests, papers, source code files I went through when I was working with Kubernetes - which I think are valuable for people to understand how Kubernetes works, Kubernetes design philosophies and why these design came into places.
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.
The document discusses VMware Hybrid Cloud Services. It introduces two VMware executives, Rajdeep Dua and Prasenjit Sarkar, who will present on the topic. The presentation agenda includes an introduction, the role of vCloud Director, VMware's "cloud of clouds" architecture, virtual data centers, VPCs and DCs, network security, tenants, catalogs, and vCloud Connector. It describes the key components and capabilities of VMware Hybrid Cloud Services, including vCloud Director, virtual private clouds, dedicated clouds, tenants, catalogs, and how vCloud Connector can connect on-premises and hybrid clouds.
Getting started with Angular is now easier than ever ... said no one ever. Yet with the right toolset, we too can create magic. When I code with Angular I can deploy to Azure within minutes. We'll go through a simple development to production workflow. First, we code with a little help from the Angular CLI. Then we build for production - Webpack to the rescue. We then push our code to Github and deploy it on Node to Azure. Mission accomplished, the application is now up in the cloud!
Docker Datacenter Overview and Production Setup SlidesDocker, Inc.
An overview on Docker Data Center and Universal Control Plane. We will cover how to install for production and integrate Docker Trusted Registry.
Led by DDC + UCP Champ:
Vivek Saraswat
Experience Level: Attendees need no prior experience with Docker, but should be familiar with basic linux command-line.
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It includes key components like Pods, Services, ReplicationControllers, and a master node for managing the cluster. The master maintains state using etcd and schedules containers on worker nodes, while nodes run the kubelet daemon to manage Pods and their containers. Kubernetes handles tasks like replication, rollouts, and health checking through its API objects.
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
- Introduction to Kubernetes features
- A look at Kubernetes Networking and Service Discovery
- New features in Kubernetes 1.6
- Kubernetes Installation options
To know more about our Kubernetes expertise, visit our center of excellence at: http://www.opcito.com/kubernetes/
The document discusses the importance of diversity and inclusion in the workplace. It notes that a diverse workforce leads to better problem solving and decision making by bringing in a variety of perspectives. The document recommends that companies implement diversity training for all employees and promote a culture of acceptance across differences to reap the benefits of diversity.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. The document discusses how to set up a Swarm cluster in three steps: 1) Create a key-value store, 2) Run the Swarm manager container, and 3) Configure Docker daemon arguments on hosts. It also provides an example of running a microservices voting application on Swarm and references additional example repositories.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It was originally developed by Google based on years of experience running production workloads at scale. Kubernetes groups containers into logical units called pods and handles tasks like scheduling, health checking, scaling and rollbacks. The main components include a master node that manages the cluster and worker nodes that run application containers scheduled by the master.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
Orchestrating Linux Containers while tolerating failuresDocker, Inc.
lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.
Bitbucket Pipelines - Powered by KubernetesNathan Burrell
This talk covers how pipelines uses Kubernetes to power its builder infrastructure and shares some tips on running Kubernetes at scale in a secure way.
This presentation was presented to the sydney Kubernetes meetup on the 3rd of August 2017.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...Nati Shalom
Video recording: https://www.youtube.com/watch?v=tGlIgUeoGz8
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
Session link from teh summit: https://openstacksummitmay2015vancouver.sched.org/event/abd484e0dedcb9774edda1548ad47518#.VV5eh5NViko
Compare Docker deployment options in the public cloudSreenivas Makam
The document compares different options for deploying Docker containers in public clouds, including Docker Machine, Docker's custom cloud solutions, cloud provider container-as-a-service (CaaS) offerings, and Docker's own CaaS solutions. It outlines various parameters for comparing the options such as orchestration, management, networking, storage, registry integration, cloud integration, application definition format, Docker version/upgrades, enterprise features, and cost. The document provides architectures for some of the solutions and recommends which options may be best for different use cases based on factors like production use, VM/container mix, hybrid/multi-cloud, and Kubernetes preference.
Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus, Inc)
Senior DevOps engineer, more than 10 years in IT.
AWS, Chef, Ansible, Kubernetes, Docker, Hadoop.
Best customers: Symantec, CloudMade
Kubernetes is up and running, what's next? We will talk about recent experience with Kubernetes-centric Serverless technologies. Concepts, overview of 2 frameworks: funktion from RedHat's Fabric8 and Kubeless. How they stand against AWS Lambda and how they rely on Kubernetes internals to do what they are doing.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Kubernetes Architecture - beyond a black box - Part 1Hao H. Zhang
This is part 1 of my Kubernetes architecture deep-dive slide series.
I have been working with Kubernetes for more than a year, from v1.3.6 to v1.6.7, and I am a CNCF certified Kubernetes administrator. Before I move on to something else, I would like to summarize and share my knowledges and take-aways about Kubernetes, from a software engineer perspective.
This set of slides is a humble dig into one level below your running application in production, revealing how different components of Kubernetes work together to orchestrate containers and present your applications to the rest of the world.
The slides contains 80+ external links to Kubernetes documentations, blog posts, Github issues, discussions, design proposals, pull requests, papers, source code files I went through when I was working with Kubernetes - which I think are valuable for people to understand how Kubernetes works, Kubernetes design philosophies and why these design came into places.
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.
The document discusses VMware Hybrid Cloud Services. It introduces two VMware executives, Rajdeep Dua and Prasenjit Sarkar, who will present on the topic. The presentation agenda includes an introduction, the role of vCloud Director, VMware's "cloud of clouds" architecture, virtual data centers, VPCs and DCs, network security, tenants, catalogs, and vCloud Connector. It describes the key components and capabilities of VMware Hybrid Cloud Services, including vCloud Director, virtual private clouds, dedicated clouds, tenants, catalogs, and how vCloud Connector can connect on-premises and hybrid clouds.
Getting started with Angular is now easier than ever ... said no one ever. Yet with the right toolset, we too can create magic. When I code with Angular I can deploy to Azure within minutes. We'll go through a simple development to production workflow. First, we code with a little help from the Angular CLI. Then we build for production - Webpack to the rescue. We then push our code to Github and deploy it on Node to Azure. Mission accomplished, the application is now up in the cloud!
Dart (https://www.dartlang.org/) is a general-purpose programming language to build web, server, IoT and mobile applications.
AngularDart (https://webdev.dartlang.org/angular) - also called Angular 2 for Dart or simply Angular - is a web app framework that focuses on productivity, performance, and stability. Hundreds of Google engineers use AngularDart to build the sophisticated, mission-critical apps that bring in much of Google’s revenue.
Flutter (https://www.flutter.io/) is a promising project to build mobile apps for iOS and Android from a single codebase in Dart.
Dart, AngularDart and Flutter significantly increase the productivity of the developers.
Slides from following meetup
https://www.meetup.com/Luxembourg-Dart-Lang-Meetup/events/237012072/
This document discusses Docker, DevAssistant, and how they can help with development workflows. It summarizes that Docker allows for containerization of applications and their dependencies to enable portable deployment. While Docker simplifies development in some ways, properly setting up related containers and services can be complex. DevAssistant aims to address this by providing plugins to automate common development tasks like initializing projects, installing dependencies, and configuring container-based environments. The document demonstrates how DevAssistant can help simplify using Docker for development. It concludes with information on a competition to earn a free beer by following instructions using DevAssistant.
Deploy Angular to the Cloud (ngBucharest)Simona Cotin
Getting started with Angular is now easier than ever... said no one ever. Yet with the right tool-set we too can create magic. When I code with Angular I can deploy to Azure within minutes. We'll go through a simple development to production workflow. First, we code with a little help from the Angular CLI. Then we build for production - Webpack to the rescue. We then push our code to Github and deploy it to Node on Azure. Mission accomplished, the application is now up in the cloud!
Slide deck related to the aMS Kuala Lumpur 2022 event. The talk covers different options for deploying containerised apps to Azure and focuses on Azure Container Apps.
This document summarizes the background of AbarCloud founders, including their previous work experience. It then provides an overview of containers as a service and infrastructure as a service using Docker and Kubernetes. It walks through deploying a simple Ruby hello world app on AbarCloud's platform to demonstrate how Docker builds the image and Kubernetes deploys and manages the containerized app. It concludes by encouraging people to use Docker and Kubernetes and to contact AbarCloud if interested in using their platform for internship projects.
Docker as a Multitool: DevOps with Docker at Azure Bootcamp Linz 2017Usersnap
Docker is an open source tool for running isolated containers on Linux making the deployment of apps inside containers faster. Docker creates portable, self-sufficient containers from any application.
Since Docker's first release in 2013, containers are getting fancier (again). And since containers are particularly popular for web apps, Martin Sereinig shows us how Usersnap uses Docker.
DMCA #25: Jenkins - Docker & Android: Comment Docker peu faciliter la créatio...Olivier Destrebecq
Comment Docker peu faciliter la création de vos applications mobiles Android? Nous tenterons ici de répondre à cette question en expliquant la méthode de création d'une chaîne d'intégration continue pour une application mobile Android, à l'aide de Jenkins, Docker et Fastlane.
Introduction to VueJS for begginers with examples | Namspace ITnamespaceit
Vue.js is an open-source model–view–viewmodel front end JavaScript framework for building user interfaces and single-page applications. It was created by Evan You and is maintained by him and the rest of the active core team members.
Building CI pipeline based on TeamCity & Docker in Android TeamPaweł Gajda
Nowadays, there are a lot of hosted CI solutions that offer quick integration with our repositories and need just few clicks to finish initial setup. Other services, coming with enhanced functionality, but requiring a server to maintain are often not given a try. First problems occur when we start coping with long compilation time and limited resources, especially during instrumented tests running on the Android Emulator. Here TeamCity comes with a rescue. With simplified setup (using Docker) and few tricks, reducing time for possible management, we do not need to hire a DevOps engineer.
This document introduces Docker on Azure. It discusses tools for using Docker on Azure like the Azure portal, Azure CLI, Docker Machine, Docker Swarm, and Docker Compose. It also covers how to use Docker Machine to create machines and run containers, deploy containers on Docker Swarm clusters using masters and nodes, and find Docker Swarm cluster templates on Azure. Other cluster tools like Mesos, Consul, and ETCD are also mentioned.
Angular 2.0 aims to build a complete platform for web applications by improving performance, developer productivity, and versatility compared to AngularJS 1.x. Key goals include making the framework faster, simpler, and more modular. It focuses on improved change detection, lazy loading of code, and support for features like universal rendering. Major companies like Capital One, The Weather Channel, and LucidChart adopted Angular 2.0 to build applications with better performance, collaboration, and maintenance. The framework saw contributions from an active open source community and remains one of the most popular JavaScript frameworks.
FestiveTechCalendar2022 - Getting Started with Azure Container Apps.pdfNilesh Gule
Slidedeck related to the Getting Started with Azure Container Apps session during Festive Tech Calendar 2022.
The live demo used RabbitMQ for decoupling a Producer and Consumer. Dapr was used to create a portable version of Microservices that can be deployed to any public cloud and hybrid cloud scenario. Kubernetes-based Event Driven Autoscaling (KEDA) provided the native integration with Azure Container Apps to scale on external events based on the number of messages in a RabbitMQ queue.
The document discusses using Visual Studio Code for building, optimizing, and deploying Angular applications to Azure using Docker. It provides steps for scaffolding a new Angular app, building for development and production with optimizations, analyzing build outputs, debugging Dockerized apps in VS Code, and deploying built apps to Azure Web Apps from within VS Code using Docker. Key advantages highlighted include great debugging experiences for Node.js and Docker apps, useful Azure and Node.js extensions, and an integrated Docker development experience.
Angular is a complete framework that combines declarative templates, dependency injection, end to end tooling, and integrated best practices in order to solve development challenges. Angular was completely rewritten from its predecessor AngularJS and allows developers to build their applications on web or mobile.
Matthew Gardner explains how to setup a simple Angular app, diving into some of the concepts behind the framework and describe some of the key differences between Angular and AngularJS. Additionally, Matthew will showcase an Angular app which uses the Spotify API.
AWS user group meetup container series DXB Dubai
n this session, we will explore the popular workload manager and scheduler Kubernetes. Amazon managed kubernetes service, Elastic Container Service for Kubernetes (Amazon EKS) takes care of the heavy-lifting and lets one focus on managing the containerized workloads. EKS, however, still gives you the flexibility and choice where to run, and how to efficiently run your data-plane that hosts your workloads. In this session, we cover what you need to know to get your application up and running with Kubernetes on AWS. We show how Amazon EKS makes deploying Kubernetes on AWS simple and scalable.
⏳ Agenda
1- Review the general Kubernetes architecture and relate to EKS
2- How to set up and provision your Kubernetes cluster using console and eksctl.
3- Discuss the important abstractions that developers use to map their traditional application into any kubernetes platform.
4- How to deploy software efficiently, while sustaining reliable and scalable applications.
5- Deploy your first microservices on EKS
6- EKS possible development deployment workflow
This document contains the agenda for the SQLDay 2018 conference. It lists the gold, silver, and bronze sponsors of the event, as well as the strategic partner. It then includes slides on various topics that will be presented, including Kubernetes for data scientists, containers, Docker, GPU and Docker, Kubernetes architecture, deploying to Kubernetes, autoscaling in Kubernetes, Kubeflow, JupyterHub, Tensorflow Training Controller, and Tensorflow Serving. It concludes with a thank you slide.
Similar to Angular2, Spring Boot, Docker Swarm (20)
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
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.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
2. ANGULAR2+SPRING BOOT+DOCKER SWARM
ABOUT ME
▸ Founded ScholarshipExperts.com (now unigo.com)
▸ Sr. Director of Engineering @ Schoolzilla
▸ Enterprise Solutions Architect @ Availity
▸ Connect with me
▸ LinkedIn
▸ GitHub http://github.com/erwindev
▸ Email: ealberto@icloud.com
3. ANGULAR2+SPRING BOOT+DOCKER SWARM
AGENDA
▸ Architecture Overview
▸ Build something in Angular2 using angular-cli
▸ Connect an Angular2 SPA to an API built in Spring Boot
▸ Use Docker to containerize the SPA and API Server
▸ Deploy the Docker containers in Docker Swarm
9. ANGULAR2+SPRING BOOT+DOCKER SWARM
RECAP
▸ Setup a really simple Angular2 application
▸ Spun up College Tracker UI SPA
▸ Launched College Tracker API
▸ Integrated College Tracker UI SPA with the API
▸ How Session is handled in the application
11. ANGULAR2+SPRING BOOT+DOCKER SWARM
DOCKER
▸ Tool to make it easy to develop, deploy and run
applications
▸ Containers
▸ Guarantee that your application is going to run the same
whichever environment it is running
▸ Eliminates “works on my machine” issue