Automatización de despliegues en Openshift con Ansible TowerRamón Román Nissen
This document summarizes automating deployments in OpenShift using Ansible Tower. It discusses the actors and architecture involved, including how Jenkins pipelines can be used to automate stages like creating projects, building images, configuring projects, tagging images, and creating deployment objects. Templates, secrets, and variables are used to configure projects. Images are built, tagged for different environments (dev, test, prod), and deployed using processed templates.
DevOps Mashup: Special Champion Edition - Madrid DevOps 2016Ramón Román Nissen
Slides for the extended edition of the DevOps Mashup talk. New features are deployment on a Raspberry Pi 2 cluster, Undertow Servlet Container and Swarm's container rescheduling capabilities.
This document discusses dynamic DevOps concepts like dynamic service generation, dynamic image building, and dynamic deployment. It demonstrates how an entry point triggers an indexer to dynamically build services, build Docker images for those services, and deploy them across servers and Swarm clusters. Various technologies are used like Logstash for data ingestion and Elasticsearch for storage. The overall aim is to showcase how DevOps practices like CI/CD can be implemented dynamically based on incoming data and requests.
Deploying ASP.Net Core apps in Docker ContainersAmal Dev
Docker allows for the isolation of applications into containers that share resources like the operating system kernel. Containers are built from images that contain the code and dependencies for an application. The Docker daemon manages containers by loading images from a registry and running, starting, stopping, and deleting containers. Networking allows containers to communicate by assigning each a private IP address and routing inbound traffic to containers using port mapping on the host machine.
Connexion is an open source API first REST framework for Python, built on top of Flask and based on OpenAPI/Swagger, targeted for microservice development. Connexion automagically handles request routing, oauth2 security, request validation and response serialization based on an OpenAPI 2.0 Specification file in YAML, so you don’t have to care about boilerplate anymore.
Because it is based on Flask it supports everything that Flask does, including deployment options and extensions.
At Zalando we’ve adopted “API First” as one of our key engineering principles, to ensure our API are robust, consistent, general and
abstracted from specific implementation and use cases. But when we tried to implement this principle for the first time we were faced with the lack of a python framework to achieve it in a easy fashion - there were several frameworks that produce a swagger definition from the
implementation but none that do it the other way around - so we decided to fill that gap.
Henning will show how to get started with OpenAPI+Connexion, present some real-world use cases and deployment options such as Kubernetes.
Automate App Container Delivery with CI/CD and DevOpsDaniel Oh
This document discusses how to automate application container delivery with CI/CD and DevOps. It describes building and deploying container images using Source-to-Image (S2I) to deploy source code or application binaries. OpenShift automates deploying application containers across hosts via Kubernetes. The document also discusses continuous integration, continuous delivery, and how OpenShift supports CI/CD with features like Jenkins-as-a-Service and OpenShift Pipelines.
Introduction to Continuous integration and the differences with continuous delivery and deployment. It shows the main benefits you should expect by incorporating CI practices to your project and how to do it with Drone.
CI/CD usando Visual Studio Team Services para proyectos en LinuxPlain Concepts
The document discusses using Visual Studio Team Services (VSTS) for continuous integration and delivery (CI/CD) of projects on Linux. It provides an overview of VSTS and its features for source control, builds, releases, planning and tracking work. It then focuses on how VSTS supports cross-platform builds for Windows, Linux and MacOS. It covers concepts of continuous delivery and using VSTS tasks and custom tasks to support deployment pipelines. It also discusses hosted agents on Microsoft servers and deploying private agents on Linux machines, including using Docker. The presentation concludes with demonstrating configuration of builds and releases as code using YAML.
Automatización de despliegues en Openshift con Ansible TowerRamón Román Nissen
This document summarizes automating deployments in OpenShift using Ansible Tower. It discusses the actors and architecture involved, including how Jenkins pipelines can be used to automate stages like creating projects, building images, configuring projects, tagging images, and creating deployment objects. Templates, secrets, and variables are used to configure projects. Images are built, tagged for different environments (dev, test, prod), and deployed using processed templates.
DevOps Mashup: Special Champion Edition - Madrid DevOps 2016Ramón Román Nissen
Slides for the extended edition of the DevOps Mashup talk. New features are deployment on a Raspberry Pi 2 cluster, Undertow Servlet Container and Swarm's container rescheduling capabilities.
This document discusses dynamic DevOps concepts like dynamic service generation, dynamic image building, and dynamic deployment. It demonstrates how an entry point triggers an indexer to dynamically build services, build Docker images for those services, and deploy them across servers and Swarm clusters. Various technologies are used like Logstash for data ingestion and Elasticsearch for storage. The overall aim is to showcase how DevOps practices like CI/CD can be implemented dynamically based on incoming data and requests.
Deploying ASP.Net Core apps in Docker ContainersAmal Dev
Docker allows for the isolation of applications into containers that share resources like the operating system kernel. Containers are built from images that contain the code and dependencies for an application. The Docker daemon manages containers by loading images from a registry and running, starting, stopping, and deleting containers. Networking allows containers to communicate by assigning each a private IP address and routing inbound traffic to containers using port mapping on the host machine.
Connexion is an open source API first REST framework for Python, built on top of Flask and based on OpenAPI/Swagger, targeted for microservice development. Connexion automagically handles request routing, oauth2 security, request validation and response serialization based on an OpenAPI 2.0 Specification file in YAML, so you don’t have to care about boilerplate anymore.
Because it is based on Flask it supports everything that Flask does, including deployment options and extensions.
At Zalando we’ve adopted “API First” as one of our key engineering principles, to ensure our API are robust, consistent, general and
abstracted from specific implementation and use cases. But when we tried to implement this principle for the first time we were faced with the lack of a python framework to achieve it in a easy fashion - there were several frameworks that produce a swagger definition from the
implementation but none that do it the other way around - so we decided to fill that gap.
Henning will show how to get started with OpenAPI+Connexion, present some real-world use cases and deployment options such as Kubernetes.
Automate App Container Delivery with CI/CD and DevOpsDaniel Oh
This document discusses how to automate application container delivery with CI/CD and DevOps. It describes building and deploying container images using Source-to-Image (S2I) to deploy source code or application binaries. OpenShift automates deploying application containers across hosts via Kubernetes. The document also discusses continuous integration, continuous delivery, and how OpenShift supports CI/CD with features like Jenkins-as-a-Service and OpenShift Pipelines.
Introduction to Continuous integration and the differences with continuous delivery and deployment. It shows the main benefits you should expect by incorporating CI practices to your project and how to do it with Drone.
CI/CD usando Visual Studio Team Services para proyectos en LinuxPlain Concepts
The document discusses using Visual Studio Team Services (VSTS) for continuous integration and delivery (CI/CD) of projects on Linux. It provides an overview of VSTS and its features for source control, builds, releases, planning and tracking work. It then focuses on how VSTS supports cross-platform builds for Windows, Linux and MacOS. It covers concepts of continuous delivery and using VSTS tasks and custom tasks to support deployment pipelines. It also discusses hosted agents on Microsoft servers and deploying private agents on Linux machines, including using Docker. The presentation concludes with demonstrating configuration of builds and releases as code using YAML.
Large Scale Kubernetes on AWS at Europe's Leading Online Fashion Platform - C...Henning Jacobs
Bootstrapping a Kubernetes cluster is easy, rolling it out to nearly 200 engineering teams and operating it at scale is a challenge. In this talk, we are presenting our approach to Kubernetes provisioning on AWS, operations and developer experience for our growing Zalando Technology department. We will highlight in the context of Kubernetes: AWS service integrations, our IAM/OAuth infrastructure, cluster autoscaling, continuous delivery and general developer experience. The talk will cover our most important learnings and we will openly share failure stories.
Talk given at Container Days HH (https://containerdays.io/) on 2017-06-20.
Drone CI - Container native continuous Integration / DeliveryPatrick Jahns
- Drone is an open source continuous integration and delivery platform that is container-native and uses YAML configurations.
- It integrates with various version control systems and has a rich set of official plugins. Pipelines are defined as steps that are executed within isolated containers.
- Drone can be easily scaled on cloud providers using an autoscaler service that monitors the queue and launches or destroys agent instances as needed.
Das Entwickeln und Gestalten von einer UI ist für sich allein genommen bereits eine große Herausforderung. Ganz zu schweigen von der Aufgabe die UI-Tests zu automatisieren. Wurde beides erfolgreich gemeistert, kommen allerdings die nächsten Fragen:
* Sollen wir auch die PDF-Auftragsbestätigung im Test validieren?
> Natürlich sollten wir!
* Ist der Rich-Client auch zu testen?
> Ja, wieso denn auch nicht!
* Wo sollen die Tests ausgeführt werden?
> Natürlich im Docker-Container und im Kubernetes-Cluster!
* Können wir die Tests auf ein anderes Framework migrieren?
> Was bringt uns das? Wir wollen die bestehenden Tests doch weiterverwenden!
Diese Fragen sind den Einen oder Anderen bestimmt nicht neu, aber was tun? Es wurde bereits viel Aufwand und Mühe in die Pflege der umfangreichen Selenium-Testsuiten gesteckt! Daher möchte man diese nur ungern verwerfen, nur um neue Anforderungen umzusetzen. Der Talk zeigt hierfür eine Lösung auf, die mit geringen Aufwand die bestehenden Selenium-Tests einfach erweitert. Die Open-Source-Erweiterung "Sakuli Se" bietet eine umfangreiche API, die es ermöglicht Rich-Clients, PDF-Inhalte oder auch Flash-Anwendungen ebenso leicht wie ein HTML-Button im selben Ausführungskontext zu testen. An Praxisbeispielen wird ebenso demonstriert wie durch vorgefertigte Dockerimages die Testausführung skalierbar bis in Cloud-Umgebung, wie Kubernetes oder OpenShift, aufgebaut werden kann.
KUBEBOOT - SPRING BOOT DEPLOYMENT ON KUBERNETESAlex Soto
Have you ever thought how to deploy Cloud Native Java Applications (Spring Boot) on Kubernetes? Kubernetes has now become a de-facto standard for deploying Cloud Native Applications, but still there is myth that they are not ready for Java workloads. The aim of this session is to break that myth to show Kubernetes is well suited for Cloud Native Java applications.
The session explores the cloud native characteristics such as Discovery, Blue/Green Deployments, Elasticity, Canary Deployments, Resiliency, Pipeline(CI/CD), Authentication etc., becomes implicit characteristics to your Spring Boot Java applications that are deployed on Kubernetes
In this session, we will see how to build, debug, deploy and discover Spring Boot applications on Kubernetes, covering in depth details of the tools, libraries and platform that could be used to make your spring boot deployment smooth and easy.
This document discusses Docker containers on Windows. It begins by explaining the difference between virtual machines and containers, and the options for container runtimes on Windows like Nano Server and Windows Server Core. It then provides an example of a simple Dockerfile and discusses strategies for reducing image sizes like using a multi-stage Dockerfile. The document also covers using Docker with Visual Studio 2017 and SQL Server, and concludes with contact information for the author.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Drone is a Continuous Delivery platform built on Docker, written in Go
* Why I don’t choose Jenkins or GitLab CI?
* What is Drone CI?
* Drone Infrastructure
* How to install Drone in five minutes?
* Integrate your project
* Create your Drone plugin
* Try drone cli without drone server
Developer Experience at Zalando - Handelsblatt Strategisches IT-Management 2019Henning Jacobs
Talk given at 25. Handelsblatt Jahrestagung Strategisches IT-Management in Munich on 2019-01-23. Original title (German): "Developer Experience bei Zalando: Entwicklerproduktivität steigern mit Cloud Native Infrastruktur"
- Wie macht man mehr als 1100 Entwickler glücklich und effektiv?
- Entwickler als Kunde: Produktmanagement für Plattformteams
- You build it – you run it: Self-Service-Infrastruktur mit Kubernetes und AWS
- Der Weg vom klassischen Infrastrukturteam zu Developer Productivity als Abteilung
- Docker allows isolating applications from their environment and packaging them with their dependencies to run consistently on any infrastructure.
- Docker for Windows uses Hyper-V to run a Linux VM for Docker containers. Windows Server containers run natively on Windows.
- Visual Studio 2017 integrates Docker tools to build, run, and debug .NET Core applications using Dockerfiles and docker-compose.
- Docker images can be deployed to cloud platforms like Azure App Service for Linux or container orchestration services like Kubernetes.
This document discusses continuous integration for iOS projects using Jenkins. It describes the iOS app distribution process and practices of continuous integration. It provides an overview of configuring a Jenkins slave on a Mac and creating jobs. It also describes Netcetera's custom build system using Rake tasks for building, testing, packaging and deploying iOS apps. Benefits include not depending on a specific Xcode version and having control over the build process. Improvements could include automating certificate installation and adding code quality checks.
The document lists various tools to help improve productivity. It includes source control tools like GitHub and Bitbucket, IDEs like Visual Studio Code and online code editors, system monitoring tools, diff and code comparison tools, and miscellaneous project management and API testing tools. The tools are organized into categories including source control, IDEs, system tools, text compare, code beautifiers, and misc.
Docker is a platform for developers and sysadmins to develop, ship, and run applications using containers. It allows building applications from components and eliminates friction when shipping code, allowing code to be tested and deployed to production quickly. Docker consists of the Docker Engine for building and running containers and Docker Hub for sharing container images. The document then discusses containers on Windows, how Docker works, building and running container images locally and remotely, Microsoft tools for working with Docker, and deploying multi-container applications on platforms like DC/OS Swarm and Kubernetes.
#SDD2017 - Modernizing .NET Apps with DockerElton Stoneman
From SDD Conf, London 2017: Modernizing .NET Apps with Docker. Moves an ASP.NET app to Docker, first by installing an MSI in a Dockerfile, then by using multi-stage builds to compile and package the app in Docker. Then splits out features into other containers, and finally deploys to Azure using Docker Enterprise Edition to manage the solution.
Developers and testers struggle every day to have a working local development environment ready when developing, debugging and going through the continuous integration cycle (CI). We can solve that by using docker based dev-testing environment based on Docker Compose (previously Fig) or integrating Docker and Vagrant to be used with a CI tool. This combination allows us to control applications at the stack level on development machines, while being able to use the same stack in integration tests. The talk will cover:
• An introduction to Docker
• Using Docker for CI integration tests
• Control of stack instead of single docker or app
• Version control of development and test environments, easily distributed with git and docker tools.
• Seamless support for running Dockers on Mac and windows.
• Selenium tests and Selenium Grid in the docker.
Maxim is an Automation Lead at Supersonic and has over a decade of experience in the trenches as an automation and performance engineer. During his career he founded and managed Automation groups and worked across a number of industries, from government - military and financial services to small start-ups.
Docker on Windows and Linux - Red Shirt Dev TourElton Stoneman
The document discusses Docker on Windows and Linux in three parts. Part 1 provides an introduction to Docker on Windows, covering the Docker platform, Windows containers, and building, shipping, and running containers. Part 2 discusses dockerizing .NET applications, including modernizing traditional apps, breaking up monoliths, and deploying with Docker Compose. Part 3 explains how to run a hybrid Docker swarm, deploying services to Windows nodes and moving services to Linux nodes.
#dddsw - Modernizing .NET Apps with DockerElton Stoneman
From _Developer, Developer, Developer_ South West. Moving full .NET applications to Docker and then extracting features into separate containers, addressing performance, usability and deployment concerns.
Hudson Mendes, Lead Software Engineer @ Boxfish, speaker slides from the BelfastJUG meetup talk on April 25th, 2017 @ the Sunflower, Belfast, UK about Spring Boot, Java, and Docker.
Unified Infra for Dev/Test and Jenkins Integration Testing (Docker/Vagrant)Maxim Guenis
Developers struggle every day to have a working local development
environment ready when developing, debugging and going through
the continues integration cycle. We were able to solve that by
integrating docker and vagrant to be used with Jenkins. This
combination allows to control applications at stack level on
development machines, while able to use the same stack in
integration tests,
What we have:
- Jenkins on Docker
- Use of Docker in all Jenkins integration tests,
- Control of stack instead of single docker or app.
- Version control of development and test environments, easily
distributed with git and docker tools.
This document discusses using Jenkins and Docker together for continuous integration and continuous delivery (CI/CD) workflows. It provides an overview of continuous integration, continuous delivery, Jenkins, and Docker. It then demonstrates setting up a CI/CD pipeline using Jenkins and Docker to build, test, and deploy a sample voting application across multiple Docker nodes. The pipeline includes building Docker images from source code in Jenkins, running builds and tests on commits, and deploying updated images to a Docker swarm cluster.
Bauen und Verteilen hybrider Docker Images für Linux und Windows
Mit Docker haben wir gelernt wie einfach Applikationen in Linux Container paketiert werden können. Aber was ist, wenn man im Rechenzentrum Windows Server vorfindet?
Mit Windows Server 2016 und Docker kann der gleiche, einfache Workflow für beide Plattformen genutzt werden. Die Unterschiede zwischen Linux und Windows werden damit deutlich verringert.
In diesem Vortrag wird gezeigt, wie man eine Anwendung bauen und paketieren kann, die sowohl unter Linux als auch Windows in Containern läuft und wie man hybride Multi-Arch Docker Images baut.
Desweiteren blicken wir auf den aktuellen Stand der Windows Container in Windows Server 1709 und lernen nützliche Details für den Betrieb eines hybriden Docker Swarm Clusters.
Microservicios sobre tecnologías Pivotal y VMwareAntonio Gallego
Presentación del meetup celebrado el 28-10-2015 en Madrid. Este meetup práctico se centró en tecnologías Spring, Pivotal Cloud Foundry y VMware.
Vimos la estructura de 4 microservicios escritos con Spring Boot. Éstos utilizó Spring Cloud para conectar a bases de datos de backend y Spring MVC para utilizar APIs RESTful. Los microservicios se registran automáticamente y descubren otros microservicios utilizando Eureka.
Todos estos servicios se ejecutaron en Cloud Foundry, plataforma cloud native que funciona, entre otras, sobre tecnologías de VMware como vSphere, VMware Integrated Openstack y vCloud Air. Vimos qué ventajas aporta cada tecnología y sus avanzadas herramientas de administración del ciclo de vida del microservicio, como VMware vRealize Code Stream.
Pivotal Cloud Foundry incorpora de forma nativa autoescalado, balanceo de cargas, inyección de configuraciones, monitorización de la salud de las apps y servicios, contenedores, logging. Es la tecnología perfecta para apps agile.
Optimizing DevOps in the Enterprise, Eyal Edri & Oded Ramraz, Red HatDevOpsDays Tel Aviv
Large enterprises today are pacing a flood of multiple devops tools to choose from for their infrastructure.
The problem intensifies when you have dozens of devops teams across the world, each with his own background
of devops tools and knowledge and each with his own agenda of pushing to use his tools.
How would you leverage this distributed, disconnected knowledge into a single working devops knowledge source,
and common infrastructure to leverage the whole enterprise?
Come and hear about Red Hat Global CI initiative to hear on one possible approach for taking on the battle.
Large Scale Kubernetes on AWS at Europe's Leading Online Fashion Platform - C...Henning Jacobs
Bootstrapping a Kubernetes cluster is easy, rolling it out to nearly 200 engineering teams and operating it at scale is a challenge. In this talk, we are presenting our approach to Kubernetes provisioning on AWS, operations and developer experience for our growing Zalando Technology department. We will highlight in the context of Kubernetes: AWS service integrations, our IAM/OAuth infrastructure, cluster autoscaling, continuous delivery and general developer experience. The talk will cover our most important learnings and we will openly share failure stories.
Talk given at Container Days HH (https://containerdays.io/) on 2017-06-20.
Drone CI - Container native continuous Integration / DeliveryPatrick Jahns
- Drone is an open source continuous integration and delivery platform that is container-native and uses YAML configurations.
- It integrates with various version control systems and has a rich set of official plugins. Pipelines are defined as steps that are executed within isolated containers.
- Drone can be easily scaled on cloud providers using an autoscaler service that monitors the queue and launches or destroys agent instances as needed.
Das Entwickeln und Gestalten von einer UI ist für sich allein genommen bereits eine große Herausforderung. Ganz zu schweigen von der Aufgabe die UI-Tests zu automatisieren. Wurde beides erfolgreich gemeistert, kommen allerdings die nächsten Fragen:
* Sollen wir auch die PDF-Auftragsbestätigung im Test validieren?
> Natürlich sollten wir!
* Ist der Rich-Client auch zu testen?
> Ja, wieso denn auch nicht!
* Wo sollen die Tests ausgeführt werden?
> Natürlich im Docker-Container und im Kubernetes-Cluster!
* Können wir die Tests auf ein anderes Framework migrieren?
> Was bringt uns das? Wir wollen die bestehenden Tests doch weiterverwenden!
Diese Fragen sind den Einen oder Anderen bestimmt nicht neu, aber was tun? Es wurde bereits viel Aufwand und Mühe in die Pflege der umfangreichen Selenium-Testsuiten gesteckt! Daher möchte man diese nur ungern verwerfen, nur um neue Anforderungen umzusetzen. Der Talk zeigt hierfür eine Lösung auf, die mit geringen Aufwand die bestehenden Selenium-Tests einfach erweitert. Die Open-Source-Erweiterung "Sakuli Se" bietet eine umfangreiche API, die es ermöglicht Rich-Clients, PDF-Inhalte oder auch Flash-Anwendungen ebenso leicht wie ein HTML-Button im selben Ausführungskontext zu testen. An Praxisbeispielen wird ebenso demonstriert wie durch vorgefertigte Dockerimages die Testausführung skalierbar bis in Cloud-Umgebung, wie Kubernetes oder OpenShift, aufgebaut werden kann.
KUBEBOOT - SPRING BOOT DEPLOYMENT ON KUBERNETESAlex Soto
Have you ever thought how to deploy Cloud Native Java Applications (Spring Boot) on Kubernetes? Kubernetes has now become a de-facto standard for deploying Cloud Native Applications, but still there is myth that they are not ready for Java workloads. The aim of this session is to break that myth to show Kubernetes is well suited for Cloud Native Java applications.
The session explores the cloud native characteristics such as Discovery, Blue/Green Deployments, Elasticity, Canary Deployments, Resiliency, Pipeline(CI/CD), Authentication etc., becomes implicit characteristics to your Spring Boot Java applications that are deployed on Kubernetes
In this session, we will see how to build, debug, deploy and discover Spring Boot applications on Kubernetes, covering in depth details of the tools, libraries and platform that could be used to make your spring boot deployment smooth and easy.
This document discusses Docker containers on Windows. It begins by explaining the difference between virtual machines and containers, and the options for container runtimes on Windows like Nano Server and Windows Server Core. It then provides an example of a simple Dockerfile and discusses strategies for reducing image sizes like using a multi-stage Dockerfile. The document also covers using Docker with Visual Studio 2017 and SQL Server, and concludes with contact information for the author.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Drone is a Continuous Delivery platform built on Docker, written in Go
* Why I don’t choose Jenkins or GitLab CI?
* What is Drone CI?
* Drone Infrastructure
* How to install Drone in five minutes?
* Integrate your project
* Create your Drone plugin
* Try drone cli without drone server
Developer Experience at Zalando - Handelsblatt Strategisches IT-Management 2019Henning Jacobs
Talk given at 25. Handelsblatt Jahrestagung Strategisches IT-Management in Munich on 2019-01-23. Original title (German): "Developer Experience bei Zalando: Entwicklerproduktivität steigern mit Cloud Native Infrastruktur"
- Wie macht man mehr als 1100 Entwickler glücklich und effektiv?
- Entwickler als Kunde: Produktmanagement für Plattformteams
- You build it – you run it: Self-Service-Infrastruktur mit Kubernetes und AWS
- Der Weg vom klassischen Infrastrukturteam zu Developer Productivity als Abteilung
- Docker allows isolating applications from their environment and packaging them with their dependencies to run consistently on any infrastructure.
- Docker for Windows uses Hyper-V to run a Linux VM for Docker containers. Windows Server containers run natively on Windows.
- Visual Studio 2017 integrates Docker tools to build, run, and debug .NET Core applications using Dockerfiles and docker-compose.
- Docker images can be deployed to cloud platforms like Azure App Service for Linux or container orchestration services like Kubernetes.
This document discusses continuous integration for iOS projects using Jenkins. It describes the iOS app distribution process and practices of continuous integration. It provides an overview of configuring a Jenkins slave on a Mac and creating jobs. It also describes Netcetera's custom build system using Rake tasks for building, testing, packaging and deploying iOS apps. Benefits include not depending on a specific Xcode version and having control over the build process. Improvements could include automating certificate installation and adding code quality checks.
The document lists various tools to help improve productivity. It includes source control tools like GitHub and Bitbucket, IDEs like Visual Studio Code and online code editors, system monitoring tools, diff and code comparison tools, and miscellaneous project management and API testing tools. The tools are organized into categories including source control, IDEs, system tools, text compare, code beautifiers, and misc.
Docker is a platform for developers and sysadmins to develop, ship, and run applications using containers. It allows building applications from components and eliminates friction when shipping code, allowing code to be tested and deployed to production quickly. Docker consists of the Docker Engine for building and running containers and Docker Hub for sharing container images. The document then discusses containers on Windows, how Docker works, building and running container images locally and remotely, Microsoft tools for working with Docker, and deploying multi-container applications on platforms like DC/OS Swarm and Kubernetes.
#SDD2017 - Modernizing .NET Apps with DockerElton Stoneman
From SDD Conf, London 2017: Modernizing .NET Apps with Docker. Moves an ASP.NET app to Docker, first by installing an MSI in a Dockerfile, then by using multi-stage builds to compile and package the app in Docker. Then splits out features into other containers, and finally deploys to Azure using Docker Enterprise Edition to manage the solution.
Developers and testers struggle every day to have a working local development environment ready when developing, debugging and going through the continuous integration cycle (CI). We can solve that by using docker based dev-testing environment based on Docker Compose (previously Fig) or integrating Docker and Vagrant to be used with a CI tool. This combination allows us to control applications at the stack level on development machines, while being able to use the same stack in integration tests. The talk will cover:
• An introduction to Docker
• Using Docker for CI integration tests
• Control of stack instead of single docker or app
• Version control of development and test environments, easily distributed with git and docker tools.
• Seamless support for running Dockers on Mac and windows.
• Selenium tests and Selenium Grid in the docker.
Maxim is an Automation Lead at Supersonic and has over a decade of experience in the trenches as an automation and performance engineer. During his career he founded and managed Automation groups and worked across a number of industries, from government - military and financial services to small start-ups.
Docker on Windows and Linux - Red Shirt Dev TourElton Stoneman
The document discusses Docker on Windows and Linux in three parts. Part 1 provides an introduction to Docker on Windows, covering the Docker platform, Windows containers, and building, shipping, and running containers. Part 2 discusses dockerizing .NET applications, including modernizing traditional apps, breaking up monoliths, and deploying with Docker Compose. Part 3 explains how to run a hybrid Docker swarm, deploying services to Windows nodes and moving services to Linux nodes.
#dddsw - Modernizing .NET Apps with DockerElton Stoneman
From _Developer, Developer, Developer_ South West. Moving full .NET applications to Docker and then extracting features into separate containers, addressing performance, usability and deployment concerns.
Hudson Mendes, Lead Software Engineer @ Boxfish, speaker slides from the BelfastJUG meetup talk on April 25th, 2017 @ the Sunflower, Belfast, UK about Spring Boot, Java, and Docker.
Unified Infra for Dev/Test and Jenkins Integration Testing (Docker/Vagrant)Maxim Guenis
Developers struggle every day to have a working local development
environment ready when developing, debugging and going through
the continues integration cycle. We were able to solve that by
integrating docker and vagrant to be used with Jenkins. This
combination allows to control applications at stack level on
development machines, while able to use the same stack in
integration tests,
What we have:
- Jenkins on Docker
- Use of Docker in all Jenkins integration tests,
- Control of stack instead of single docker or app.
- Version control of development and test environments, easily
distributed with git and docker tools.
This document discusses using Jenkins and Docker together for continuous integration and continuous delivery (CI/CD) workflows. It provides an overview of continuous integration, continuous delivery, Jenkins, and Docker. It then demonstrates setting up a CI/CD pipeline using Jenkins and Docker to build, test, and deploy a sample voting application across multiple Docker nodes. The pipeline includes building Docker images from source code in Jenkins, running builds and tests on commits, and deploying updated images to a Docker swarm cluster.
Bauen und Verteilen hybrider Docker Images für Linux und Windows
Mit Docker haben wir gelernt wie einfach Applikationen in Linux Container paketiert werden können. Aber was ist, wenn man im Rechenzentrum Windows Server vorfindet?
Mit Windows Server 2016 und Docker kann der gleiche, einfache Workflow für beide Plattformen genutzt werden. Die Unterschiede zwischen Linux und Windows werden damit deutlich verringert.
In diesem Vortrag wird gezeigt, wie man eine Anwendung bauen und paketieren kann, die sowohl unter Linux als auch Windows in Containern läuft und wie man hybride Multi-Arch Docker Images baut.
Desweiteren blicken wir auf den aktuellen Stand der Windows Container in Windows Server 1709 und lernen nützliche Details für den Betrieb eines hybriden Docker Swarm Clusters.
Microservicios sobre tecnologías Pivotal y VMwareAntonio Gallego
Presentación del meetup celebrado el 28-10-2015 en Madrid. Este meetup práctico se centró en tecnologías Spring, Pivotal Cloud Foundry y VMware.
Vimos la estructura de 4 microservicios escritos con Spring Boot. Éstos utilizó Spring Cloud para conectar a bases de datos de backend y Spring MVC para utilizar APIs RESTful. Los microservicios se registran automáticamente y descubren otros microservicios utilizando Eureka.
Todos estos servicios se ejecutaron en Cloud Foundry, plataforma cloud native que funciona, entre otras, sobre tecnologías de VMware como vSphere, VMware Integrated Openstack y vCloud Air. Vimos qué ventajas aporta cada tecnología y sus avanzadas herramientas de administración del ciclo de vida del microservicio, como VMware vRealize Code Stream.
Pivotal Cloud Foundry incorpora de forma nativa autoescalado, balanceo de cargas, inyección de configuraciones, monitorización de la salud de las apps y servicios, contenedores, logging. Es la tecnología perfecta para apps agile.
Optimizing DevOps in the Enterprise, Eyal Edri & Oded Ramraz, Red HatDevOpsDays Tel Aviv
Large enterprises today are pacing a flood of multiple devops tools to choose from for their infrastructure.
The problem intensifies when you have dozens of devops teams across the world, each with his own background
of devops tools and knowledge and each with his own agenda of pushing to use his tools.
How would you leverage this distributed, disconnected knowledge into a single working devops knowledge source,
and common infrastructure to leverage the whole enterprise?
Come and hear about Red Hat Global CI initiative to hear on one possible approach for taking on the battle.
Extracting Executable Transformations from Distilled Code Changesstevensreinout
This document presents an approach to extract executable code transformations from distilled code changes by representing changes as a change dependency graph and evolution state graph. It addresses the problem that different change sequences may implement the same source code transformation, making it difficult to specify and retrieve transformations using logic queries over changes alone. The approach involves specifying the initial and sought-after states using AST logic and querying the evolution state graph to retrieve a minimal executable change subsequence between the states. An evaluation on refactorings shows the approach returns significantly shorter solutions than naively replaying original change sequences.
El cloud gaming permite jugar cualquier juego desde cualquier dispositivo con conexión a Internet al almacenar y procesar los juegos en servidores en lugar de en el dispositivo local. Los juegos se transmiten como streaming desde los servidores al dispositivo, lo que significa que se pueden jugar juegos de alta calidad sin necesidad de hardware potente. El principal requisito es una conexión a Internet estable.
Metodologias de desarrollo de software en Gaming [EA]Globant
Electronic Arts (EA) es el líder mundial en el mercado de videojuegos con más de 30 años de experiencia. EA posee varios estudios alrededor del mundo que desarrollan juegos AAA populares como Dragon Age, Mass Effect, Battlefield y The Sims. El documento describe el proceso de desarrollo de videojuegos en EA, incluyendo los roles de los distintos actores como productores, desarrolladores y testers, así como las tecnologías y procesos utilizados como el ciclo de desarrollo por sprints y milestones. Finalmente
Designing a pragmatic back-end service for mobile gamesiFunFactory Inc.
For competition in the mobile gaming industry getting fierce, mobile game developers now face tough challenges including handling a different service landscape and working on a tight time budget. These obstacles lead the developers to seek handy solutions to abstract away development complexity and to reduce overall development cycle. This talk will focus especially on the back-end side of mobile game services. It will first review issues in mobile game services, then highlight the requirements of back-end services for the services. Finally, the talk will propose a vertically-integrated back-end platform.
This is a presentation I held at "DevOps and Security" -meetup on 5th of April 2016 at RedHat.
Source is available at: https://github.com/jerryjj/devsec_050416
Realidad Virtual Nuevos Mundos Para La Psicoterapia Mackaymackayunah
El documento describe el uso de la realidad virtual en la psicoterapia para tratar trastornos como las fobias, el estrés postraumático y la ansiedad. Explica que la realidad virtual permite exponer a pacientes de manera controlada a estímulos que desencadenan sus miedos para ayudarlos a superarlos. Además, señala que esta técnica es más efectiva y menos costosa que las terapias convencionales.
Discover how mobile game companies are leveraging AWS to build cost-effective, scalable games. Learn how companies like Supercell are using EC2 and S3 to run their online game servers. Understand the challenges in scaling game databases, and how developers like Halfbrick use DynamoDB to overcome these demands. Learn how you can use the new EC2 G2 and C3 instances to run multiplayer games in the cloud. Finally, see how developers like Rovio are using SNS to send mobile push notifications to keep players engaged.
GDC 2015 - Low-latency Multiplayer Gaming with AWS Nate Wiger
Learn the challenges involved with deploying a low-latency multiplayer game globally, and how to overcome them with AWS. Based on real-world experiences from myself and other game developers deploying online games with tens of thousands of players.
Seminario Web MongoDB-Paradigma: Cree aplicaciones más escalables utilizando ...MongoDB
Las arquitecturas de microservicios han sido adoptados muy rápidamente, debido a su capacidad para proveer modularidad, escalabilidad y alta disponibilidad
En este seminario web grabado, nuestros expertos, Rubén Terceño de MongoDB y Miguel Garrido de Paradigma Digital le explican cómo se puede usar microservicios para:
Alinear las estructuras de tu organización
Realizar aplicaciones más rápidamente
Hacer un uso eficiente de tus recursos
Metodologías de desarrollo de software en GamingGlobant
Contenido:
Game Development
- Understanding
Game Dev en Globant
-Historia
-Tipos de Proyectos/Clientes
-End to End/Full SKU vs EA Game Modes projects
- Algunos títulos en los que Globant trabajó
Orador: CLAUDIO BASTOS
Technical Director @Globant Gaming Studio
Contact: hello@globant.com
Docker on a local machine and Docker in production — are two big differences. It's easy to play with technology but it's hard to do something real for many customers.
Half a year ago inside of Alpha Laboratory (division of Alfa-Bank) we've started building new microservices architecture for one of our pilot projects. We've almost completely changed a stack of the used technologies on a frontend and significantly changed it on a middle layer. For package and distribution we have choosen Docker. Two months ago we've deployed project to production and have opened service for clients.
In the report the following topics will be covered:
- reasons of a choice Docker;
- why Docker without other tools is not enough for a production;
- what stack of technologies we used in our solution;
- what advantages we've got;
- what problems have been faced and how we've solved them.
Node Interactive: Node.js Performance and Highly Scalable Micro-ServicesChris Bailey
The fundamental performance characteristics of Node.js, along with the improvements driven through the community benchmarking workgroup, makes Node.js ideal for highly performing micro-service workloads. Translating that into highly responsive, scalable solutions however is still far from easy. This session will discuss why Node.js is right for micro-services, introduce the best practices for building scalable deployments, and show you how to monitor and profile your applications to identify and resolve performance bottlenecks.
Smart Services & Smart Clients - How Microservices Change the Way You Build a...Neil Mansilla
YAPC talk abstract: http://www.yapcna.org/yn2015/talk/5945
YAPC video: http://livestream.com/yapc/events/4112215/videos/89840147
I gave this talk on microservices architecture at YAPC (Yet Another Perl Conference) North America in Salt Lake City on June 10, 2015.
We took a deeper dive into the how and why Runscope implements a microservices architecture.
Nathan Burrell from Atlassian discusses how Connect, AWS, and Docker can be used together with Bitbucket Pipelines. Connect provides an integration point for third party services with Atlassian products. AWS is used to host and run microservices. Docker is utilized for containerization of services both locally during development and in production on AWS. The talk covers Connect descriptors, permissions, iFrames, and webhooks for integrating with Atlassian products, as well as how microservices are structured and interact with each other when run on AWS using services like DynamoDB, ECS, and SQS. Kubernetes is also mentioned for container management at scale. Security best practices when using Docker and Kubernetes in production are briefly discussed
Build, Publish, Deploy and Test Docker images and containers with Jenkins Wor...Docker, Inc.
This lightning talk will show you how simple it is to apply CI to the creation of Docker images, ensuring that each time the source is changed, a new image is created, tagged, and published. I will then show how easy it is to then deploy containers from this image and run tests to verify the behaviour.
Tech Talk: DevOps at LeanIX @ Startup Camp BerlinLeanIX GmbH
DevOps at LeanIX - Presentation during Startup Camp Berlin 2015. Covering tools like Docker, Jenkins and Ansible.
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LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXDemoS
Moderne Serverless-Computing-Plattformen sind in aller Munde und stellen ein Programmiermodell zur Verfügung, wo sich der Nutzer keine Gedanken mehr über die Administration der Server, Storage, Netzwerk, virtuelle Maschinen, Hochverfügbarkeit und Skalierbarkeit machen brauch, sondern sich auf das Schreiben von eigenen Code konzentriert. Der Code bildet die Geschäftsanforderungen modular in Form von kleinen Funktionspaketen (Functions) ab. Functions sind das Herzstück der Serverless-Computing-Plattform. Sie lesen von der (oft Standard-)Eingabe, tätigen ihre Berechnungen und erzeugen eine Ausgabe. Die zu speichernden Ergebnisse von Funktionen werden in einem permanenten Datastore abgelegt, wie z.B. der Autonomous Database gespeichert. Die Autonomous Database besitzt folgende drei Eigenschaften self-driving, self-repairing und self-securing, die für einen modernen Anwendungsentwicklungsansatz benötigt werden.
This document discusses microservices, APIs, messaging, and serverless computing on Azure. It provides an overview of RPC and REST API styles, services like Service Bus, Event Grid, and Azure Functions. It also covers containerization with Docker and deploying containerized applications to Azure.
This document discusses microservices using Node.js and JavaScript. It covers building an HTTP microservice with Express including routing, structure, database integration, logging and testing. It also discusses building command-based microservices with Seneca including patterns, plugins, and queueing. Finally, it discusses containerization with Docker, API gateways, testing, process management with PM2, and some considerations around when microservices may not be the best solution.
Zero to #Serverless in 60 seconds, anywhereAlex Ellis
This document discusses serverless computing and functions as a service (FaaS). It provides examples of deploying functions in 60 seconds, auto-scaling demonstrations, and monitoring functions with Prometheus. YAML files can be used to group and deploy functions. The document encourages helping to shape FaaS on get-faas.com and provides several GitHub links to FaaS code examples and tools.
DevOps is a set of practices that automates the processes between software development and IT teams, in order that they can build, test, and release software faster and more reliably.
Андрій Вандакуров
Team Lead та Senior Developer у ELEKS
Наскільки круто бути фронтенд розробником і які задачі вже можна вирішувати знаючи тільки JavaScript, HTML и CSS.
Тулзи, підходи і технічки; можливості сучасного фронтенда (клієнський та серверний код, роботи та візуалізація данних).
The document provides an overview of various web technologies including:
- Fundamental technologies that formed the foundation of the early web such as HTML, URIs, and HTTP.
- Real-time communication technologies like WebSockets and WebRTC that enable features like video chatting.
- Client-side storage options including LocalStorage, IndexedDB, and PouchDB.
- APIs that enable richer user experiences such as the Full Screen API, Page Visibility API, and Vibration API.
- Styling techniques like CSS shapes, blend modes, and 3D transforms.
- Web component specifications like Custom Elements and Shadow DOM.
- Options for building different types of applications including desktop apps, TV apps,
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!
IBM Cloud University: Build, Deploy and Scale Node.js MicroservicesChris Bailey
The document discusses key aspects of building scalable microservices including containerization, orchestration, monitoring, and performance optimization. It provides code examples for containerizing a Node.js application, deploying it with Kubernetes using a Helm chart, and implementing continuous delivery with Jenkins pipelines and DevOps toolchains. The document also covers understanding microservices performance by analyzing architecture diagrams showing public/private networks, services, and databases.
Exploring MySQL Operator for Kubernetes in PythonIvan Ma
The document discusses the MySQL Operator for Kubernetes, which allows users to run MySQL clusters on Kubernetes. It provides an overview of how the operator works using the Kopf framework to create Kubernetes custom resources and controllers. It describes how the operator creates deployments, services, and other resources to set up MySQL servers in a stateful set, a replica set for routers, and monitoring. The document also provides instructions for installing the MySQL Operator using Kubernetes manifests or Helm.
This document provides an agenda and overview for the "Der Wal in der Kiste – Docker 101" presentation at the Admincamp 2017 conference from September 18-21, 2017 in Gelsenkirchen, Germany. The presentation will cover why and how to use Docker, including installing Docker on Linux, Windows, and Raspberry Pi systems, working with Docker images and containers, the Docker registry and hub, using Docker with Domino applications, and Kubernetes. The presenter Ulrich Krause is an experienced IBM Lotus Notes and Domino developer and administrator who created the open source Let's Encrypt for Domino project.
Serhiy Kalinets "Building Service Mesh with .NET Core"Fwdays
There is a lot of hype around service mesh happening right now. It’s a new concept that solves common problems related to microservices: observability, traffic management, security and so on.
In this session Serhiy will introduce the idea of service mesh and show how to use it with the latest release of .NET Core to build lightweight microservices with minimal efforts. And of course, we will see how it works in action.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!