Building kubectl plugins with Quarkus | DevNation Tech TalkRed Hat Developers
We all know how flexible Kubernetes extensions can be - Tekton and Knative are examples. But did you know it's also pretty easy to extend kubectl, the Kubernetes superstar CLI? In this session we see how a kubectl plugin is designed and then from scratch, we will build our own plugin using Quarkus. That will give us the opportunity to discover the command mode of Quarkus, rediscover how native compilation can create super fast binaries, and see how the Kubernetes-client extensions make it super easy to interact with a Kubernetes cluster.
Kubernetes for java developers - Tutorial at Oracle Code One 2018Anthony Dahanne
You’re a Java developer? Already familiar with Docker? Want to know more about Kubernetes and its ecosystem for developers? During this session, you’ll get familiar with core Kubernetes concepts (pods, deployments, services, volumes, and so on) before seeing the most-popular and most-productive Kubernetes tools in action, with a special focus on Java development. By the end of the session, you’ll have a better understanding of how you can leverage Kubernetes to speed up your Java deployments on-premises or to any cloud.
Scripting is not something you do with Java. You use bash, python, groovy, kotlin, or something else other than Java. What if I told you that it does not need to be that way? Since January 2020 there has been a way to use Java as a language for scripting. No maven, no gradle, no scaffolding–just a single .java file that can use external libraries and you are off the races. This session will cover how jbang came to be, what challenges it solves, and how it helps you to explore and teach Java.
Speaker: Max Rydahl Andersen
Cloud native applications are popular these days – applications that run in the cloud reliably und scale almost arbitrarily. They follow three key principles: they are built and composed as micro services. They are packaged and distributed in containers. The containers are executed dynamically in the cloud. Kubernetes is an open-source cluster manager for the automated deployment, scaling and management of cloud native applications. In this hands-on session we will introduce the core concepts of Kubernetes and then show how to build, package and operate a cloud native showcase application on top of Kubernetes step-by-step. Throughout this session we will be using an off-the-shelf MIDI controller to demonstrate and visualize the concepts and to remote control Kubernetes. This session has been presented at the ContainerCon Europe 2016 in Berlin. #qaware #cloudnativenerd #LinuxCon #ContainerCon
Kubernetes is exploding in popularity right now and has all the buzz and cargo-culting that Docker enjoyed just a few years ago. But what even is Kubernetes? How do I run my PHP apps in it? Should I run my PHP apps in it ?
Installing and Using Kubernetes is hard, but Operating Kubernetes is even harder! This BOF is for Kubernetes Operators to get together and discuss our day to day Operations, and for people new to Kubernetes to learn more about how to operate it.
Building kubectl plugins with Quarkus | DevNation Tech TalkRed Hat Developers
We all know how flexible Kubernetes extensions can be - Tekton and Knative are examples. But did you know it's also pretty easy to extend kubectl, the Kubernetes superstar CLI? In this session we see how a kubectl plugin is designed and then from scratch, we will build our own plugin using Quarkus. That will give us the opportunity to discover the command mode of Quarkus, rediscover how native compilation can create super fast binaries, and see how the Kubernetes-client extensions make it super easy to interact with a Kubernetes cluster.
Kubernetes for java developers - Tutorial at Oracle Code One 2018Anthony Dahanne
You’re a Java developer? Already familiar with Docker? Want to know more about Kubernetes and its ecosystem for developers? During this session, you’ll get familiar with core Kubernetes concepts (pods, deployments, services, volumes, and so on) before seeing the most-popular and most-productive Kubernetes tools in action, with a special focus on Java development. By the end of the session, you’ll have a better understanding of how you can leverage Kubernetes to speed up your Java deployments on-premises or to any cloud.
Scripting is not something you do with Java. You use bash, python, groovy, kotlin, or something else other than Java. What if I told you that it does not need to be that way? Since January 2020 there has been a way to use Java as a language for scripting. No maven, no gradle, no scaffolding–just a single .java file that can use external libraries and you are off the races. This session will cover how jbang came to be, what challenges it solves, and how it helps you to explore and teach Java.
Speaker: Max Rydahl Andersen
Cloud native applications are popular these days – applications that run in the cloud reliably und scale almost arbitrarily. They follow three key principles: they are built and composed as micro services. They are packaged and distributed in containers. The containers are executed dynamically in the cloud. Kubernetes is an open-source cluster manager for the automated deployment, scaling and management of cloud native applications. In this hands-on session we will introduce the core concepts of Kubernetes and then show how to build, package and operate a cloud native showcase application on top of Kubernetes step-by-step. Throughout this session we will be using an off-the-shelf MIDI controller to demonstrate and visualize the concepts and to remote control Kubernetes. This session has been presented at the ContainerCon Europe 2016 in Berlin. #qaware #cloudnativenerd #LinuxCon #ContainerCon
Kubernetes is exploding in popularity right now and has all the buzz and cargo-culting that Docker enjoyed just a few years ago. But what even is Kubernetes? How do I run my PHP apps in it? Should I run my PHP apps in it ?
Installing and Using Kubernetes is hard, but Operating Kubernetes is even harder! This BOF is for Kubernetes Operators to get together and discuss our day to day Operations, and for people new to Kubernetes to learn more about how to operate it.
Kubelet with no Kubernetes Masters | DevNation Tech TalkRed Hat Developers
Kubernetes Pod manifests, port redirection, liveness probes, and other features make a great single-node container manager. Learn how to use the kubelet in this manner for edge deployments and other single machine use-cases. We'll cover the tradeoffs, what you get, what won't work, and more.
Google has been running everything in containers for the past 15 years, but how do we orchestrate and manage all those containers? We've built and released the open source Kubernetes (http://kubernetes.io), which is based on years of running containers internally at Google. Join us for an introduction to containers and Kubernetes, followed by a hands-on workshop building and deploying your own Kubernetes cluster with multiple front end, database and caching instances.
Docker containers help solve the issue of process-level reproducibility by packaging up your apps and execution environments into a number of containers. But once you have a lot of containers running, you'll need to coordinate them across a cluster of machines while keeping them healthy and making sure they can find each other. This can quickly turn into an unmanageable mess! Wouldn't it be helpful if you could declare what wanted, and then have the cluster assign the resources to get it done and to recover from failures and scale on demand? Kubernetes is here to help!
Key takeaways
- Gentle introduction into containers: why and how
- Learn how Google manages applications using containers
- Intro to Kubernetes: managing applications and services
- Build and deploy your own multi-tier application using Kubernetes
Kubernetes Architecture - beyond a black box - Part 2Hao H. Zhang
This continues the Kubernetes architecture deep dive series. (Part 1 see https://www.slideshare.net/harryzhang735/kubernetes-beyond-a-black-box-part-1)
In Part 2 I'm going to cover the following:
- Kubernetes's 3 most import design choices: Micro-service Choreography, Level-Triggered Control, Generalized Workload and Centralized Controller
- Default scheduler limitation and community's next step
- Interface to production environment
- Workload abstraction: strength and limitations
This concludes my work and knowledge sharing about Kubernetes.
KubeCon EU 2016: Kubernetes and the Potential for Higher Level InterfacesKubeAcademy
Kubernetes provides rock-solid APIs for building and running your distributed systems. Pods, Services and ReplicationControllers provide trustworthy and scalable abstractions that make solving real-world infrastructure problems simpler. But that doesn’t mean interacting with those low-level primitives will be the only option for developers and operators.
Sched Link: http://sched.co/67dA
The document provides an overview of the logical architecture of Kubernetes. It describes the main components that make up the Kubernetes control plane (API server, scheduler, etc.) and Kubernetes workers, as well as core Kubernetes objects like pods, replica sets, deployments, services, ingress and configmaps/secrets. It also touches on controllers, operators, Kubernetes manifests and provides an example manifest configuration.
Container orchestration from theory to practiceDocker, Inc.
"Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
This document provides an overview of Kubernetes and containerization concepts including Docker containers, container orchestration with Kubernetes, deploying and managing applications on Kubernetes, and using Helm to package and deploy applications to Kubernetes. Key terms like pods, deployments, services, configmaps and secrets are defined. Popular container registries, orchestrators and cloud offerings are also mentioned.
This document discusses plans for migrating the Taverna workflow system to the Apache Software Foundation (ASF) to become an Apache incubator project. Key steps include resolving dependencies on incompatible licenses, restructuring Git repositories, updating documentation and branding, and establishing Apache-style development and community processes. The goal is to improve sustainability, encourage broader participation, and reduce reliance on the University of Manchester.
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
Language Server Protocol - Why the Hype?mikaelbarbero
The Language Server Protocol developed by Microsoft for Visual Studio Code is a language and IDE agnostic protocol which clearly separates language semantics from UI presentation. Language developers can implement the protocol and benefit from immediate support in all IDEs, while IDE developers, who implement the protocol get automatic support for all these languages without having to write any language-specific code. This session will let you learn more about the innards of the LSP. We will also have an overview of the current implementations in Eclipse, and outside Eclipse as well.
This document promotes reactive programming with Java and introduces Vert.x, an Eclipse project for building reactive applications on the JVM. It provides information on upcoming DevNation Live tech talks, links to download an ebook, and shares details on reactive principles, microservices, and getting started with Vert.x.
Reliable and scalable applications need repeatable, automated application deployment. Configuration management tools like Chef, Puppet and others make it easy to deploy an entire application stack, but support for Perl applications has lagged behind other popular, dynamic languages.
The Perl community has responded to these challenges with tools like perlbrew, local::lib, carton and others to make it easier to manage an application and its dependencies in isolation. This presentation will show you how to make those tools work with Chef for complete automation of Perl application deployment.
This document provides an introduction and overview of Kubernetes for deploying and managing containerized applications at scale. It discusses Kubernetes' key features like self-healing, dynamic scaling, networking and efficient resource usage. It then demonstrates setting up a Kubernetes cluster on AWS and deploying a sample application using pods, deployments and services. While Kubernetes provides many benefits, the document notes it requires battle-testing to be production-ready and other topics like logging, monitoring and custom autoscaling solutions would need separate discussions.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It coordinates activities across a cluster of machines by defining basic building blocks like pods (which contain containers), replication controllers (which ensure a specified number of pods are running), and services (which define logical groups of pods). Kubernetes provides tools for running applications locally on a single node as well as managing resources in the cluster, including creating, deleting, viewing, and updating resources from configuration files.
OpenShift In a Nutshell - Episode 04 - Infrastructure part IIBehnam Loghmani
Episode 04 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about Nodes, Kublet, Image registry and web console of OpenShift.
I hope you will find it useful.
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 documentation on Kayobe, an open source project that enables the deployment of containerized OpenStack to bare metal using Ansible. It describes Kayobe's features, including its use of OpenStack projects like Bifrost and Kolla Ansible. The documentation covers Kayobe's architecture, installation process from PyPI or source code, and usage of its command line interface.
XP Days Ukraine 2015 Talk http://xpdays.com.ua/programs/scaling-docker-with-kubernetes/
Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others.
Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. Kubernetes also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.
Akash Mahajan, Appsecco
Ansible offers a flexible approach to building a SecOps pipeline. System hardening can become just another software project. Using it we can do secure application deployment, configuration management and continuous monitoring. Security can be codified & attack surfaces reduced by using Ansible.
Who is this talk for?
This talks and demo is relevant and useful for any practitioner of DevSecOps.
It introduces the concepts of declarative security
Showcases one of the tools (Ansible) to embrace DevSecOps in a friction free no expense required manner
Implements security architecture principles using a structured language (YAML) as part of the framework (playbooks) which is ‘Infrastructure As Code’
Gives a clear roadmap on how to find the best practices for security hardening
Covers how continuous monitoring can be applied for security
Technical Requirements
While 30 minutes short for letting attendees do hands-on, the following will be required
- A modern Linux distribution with Python and Ansible installed
- Basic idea of running commands on the Linux command line
This presentation about Kubernetes, targeted for Java Developers was given for the first time (in French) at the Montreal Java User Group on May 2nd, 2018
Get you Java application ready for Kubernetes !Anthony Dahanne
In this demos loaded talk we’ll explore the best practices to create a Docker image for a Java app (it’s 2019 and new comers such as Jib, CNCF buildpacks are interesting alternatives to Docker builds !) - and how to integrate best with the Kubernetes ecosystem : after explaining main Kubernetes objects and notions, we’ll discuss Helm charts and productivity tools such as Skaffold, Draft and Telepresence.
Kubelet with no Kubernetes Masters | DevNation Tech TalkRed Hat Developers
Kubernetes Pod manifests, port redirection, liveness probes, and other features make a great single-node container manager. Learn how to use the kubelet in this manner for edge deployments and other single machine use-cases. We'll cover the tradeoffs, what you get, what won't work, and more.
Google has been running everything in containers for the past 15 years, but how do we orchestrate and manage all those containers? We've built and released the open source Kubernetes (http://kubernetes.io), which is based on years of running containers internally at Google. Join us for an introduction to containers and Kubernetes, followed by a hands-on workshop building and deploying your own Kubernetes cluster with multiple front end, database and caching instances.
Docker containers help solve the issue of process-level reproducibility by packaging up your apps and execution environments into a number of containers. But once you have a lot of containers running, you'll need to coordinate them across a cluster of machines while keeping them healthy and making sure they can find each other. This can quickly turn into an unmanageable mess! Wouldn't it be helpful if you could declare what wanted, and then have the cluster assign the resources to get it done and to recover from failures and scale on demand? Kubernetes is here to help!
Key takeaways
- Gentle introduction into containers: why and how
- Learn how Google manages applications using containers
- Intro to Kubernetes: managing applications and services
- Build and deploy your own multi-tier application using Kubernetes
Kubernetes Architecture - beyond a black box - Part 2Hao H. Zhang
This continues the Kubernetes architecture deep dive series. (Part 1 see https://www.slideshare.net/harryzhang735/kubernetes-beyond-a-black-box-part-1)
In Part 2 I'm going to cover the following:
- Kubernetes's 3 most import design choices: Micro-service Choreography, Level-Triggered Control, Generalized Workload and Centralized Controller
- Default scheduler limitation and community's next step
- Interface to production environment
- Workload abstraction: strength and limitations
This concludes my work and knowledge sharing about Kubernetes.
KubeCon EU 2016: Kubernetes and the Potential for Higher Level InterfacesKubeAcademy
Kubernetes provides rock-solid APIs for building and running your distributed systems. Pods, Services and ReplicationControllers provide trustworthy and scalable abstractions that make solving real-world infrastructure problems simpler. But that doesn’t mean interacting with those low-level primitives will be the only option for developers and operators.
Sched Link: http://sched.co/67dA
The document provides an overview of the logical architecture of Kubernetes. It describes the main components that make up the Kubernetes control plane (API server, scheduler, etc.) and Kubernetes workers, as well as core Kubernetes objects like pods, replica sets, deployments, services, ingress and configmaps/secrets. It also touches on controllers, operators, Kubernetes manifests and provides an example manifest configuration.
Container orchestration from theory to practiceDocker, Inc.
"Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
This document provides an overview of Kubernetes and containerization concepts including Docker containers, container orchestration with Kubernetes, deploying and managing applications on Kubernetes, and using Helm to package and deploy applications to Kubernetes. Key terms like pods, deployments, services, configmaps and secrets are defined. Popular container registries, orchestrators and cloud offerings are also mentioned.
This document discusses plans for migrating the Taverna workflow system to the Apache Software Foundation (ASF) to become an Apache incubator project. Key steps include resolving dependencies on incompatible licenses, restructuring Git repositories, updating documentation and branding, and establishing Apache-style development and community processes. The goal is to improve sustainability, encourage broader participation, and reduce reliance on the University of Manchester.
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
Language Server Protocol - Why the Hype?mikaelbarbero
The Language Server Protocol developed by Microsoft for Visual Studio Code is a language and IDE agnostic protocol which clearly separates language semantics from UI presentation. Language developers can implement the protocol and benefit from immediate support in all IDEs, while IDE developers, who implement the protocol get automatic support for all these languages without having to write any language-specific code. This session will let you learn more about the innards of the LSP. We will also have an overview of the current implementations in Eclipse, and outside Eclipse as well.
This document promotes reactive programming with Java and introduces Vert.x, an Eclipse project for building reactive applications on the JVM. It provides information on upcoming DevNation Live tech talks, links to download an ebook, and shares details on reactive principles, microservices, and getting started with Vert.x.
Reliable and scalable applications need repeatable, automated application deployment. Configuration management tools like Chef, Puppet and others make it easy to deploy an entire application stack, but support for Perl applications has lagged behind other popular, dynamic languages.
The Perl community has responded to these challenges with tools like perlbrew, local::lib, carton and others to make it easier to manage an application and its dependencies in isolation. This presentation will show you how to make those tools work with Chef for complete automation of Perl application deployment.
This document provides an introduction and overview of Kubernetes for deploying and managing containerized applications at scale. It discusses Kubernetes' key features like self-healing, dynamic scaling, networking and efficient resource usage. It then demonstrates setting up a Kubernetes cluster on AWS and deploying a sample application using pods, deployments and services. While Kubernetes provides many benefits, the document notes it requires battle-testing to be production-ready and other topics like logging, monitoring and custom autoscaling solutions would need separate discussions.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It coordinates activities across a cluster of machines by defining basic building blocks like pods (which contain containers), replication controllers (which ensure a specified number of pods are running), and services (which define logical groups of pods). Kubernetes provides tools for running applications locally on a single node as well as managing resources in the cluster, including creating, deleting, viewing, and updating resources from configuration files.
OpenShift In a Nutshell - Episode 04 - Infrastructure part IIBehnam Loghmani
Episode 04 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about Nodes, Kublet, Image registry and web console of OpenShift.
I hope you will find it useful.
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 documentation on Kayobe, an open source project that enables the deployment of containerized OpenStack to bare metal using Ansible. It describes Kayobe's features, including its use of OpenStack projects like Bifrost and Kolla Ansible. The documentation covers Kayobe's architecture, installation process from PyPI or source code, and usage of its command line interface.
XP Days Ukraine 2015 Talk http://xpdays.com.ua/programs/scaling-docker-with-kubernetes/
Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others.
Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. Kubernetes also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.
Akash Mahajan, Appsecco
Ansible offers a flexible approach to building a SecOps pipeline. System hardening can become just another software project. Using it we can do secure application deployment, configuration management and continuous monitoring. Security can be codified & attack surfaces reduced by using Ansible.
Who is this talk for?
This talks and demo is relevant and useful for any practitioner of DevSecOps.
It introduces the concepts of declarative security
Showcases one of the tools (Ansible) to embrace DevSecOps in a friction free no expense required manner
Implements security architecture principles using a structured language (YAML) as part of the framework (playbooks) which is ‘Infrastructure As Code’
Gives a clear roadmap on how to find the best practices for security hardening
Covers how continuous monitoring can be applied for security
Technical Requirements
While 30 minutes short for letting attendees do hands-on, the following will be required
- A modern Linux distribution with Python and Ansible installed
- Basic idea of running commands on the Linux command line
This presentation about Kubernetes, targeted for Java Developers was given for the first time (in French) at the Montreal Java User Group on May 2nd, 2018
Get you Java application ready for Kubernetes !Anthony Dahanne
In this demos loaded talk we’ll explore the best practices to create a Docker image for a Java app (it’s 2019 and new comers such as Jib, CNCF buildpacks are interesting alternatives to Docker builds !) - and how to integrate best with the Kubernetes ecosystem : after explaining main Kubernetes objects and notions, we’ll discuss Helm charts and productivity tools such as Skaffold, Draft and Telepresence.
The document discusses deploying Java microservices applications to Kubernetes. It covers running a sample Spring Boot app in Docker containers, then deploying it and its MongoDB dependency to a local Kubernetes cluster using Minishift. It also discusses using the Fabric8 Maven plugin to simplify building Docker images and generating Kubernetes manifests from a Maven project. Helm is introduced as a way to package full applications and dependencies for Kubernetes.
This document provides an overview of Container as a Service (CaaS) with Docker. It discusses key concepts like Docker containers, images, and orchestration tools. It also covers DevOps practices like continuous delivery that are enabled by Docker. Specific topics covered include Docker networking, volumes, and orchestration with Docker Swarm and compose files. Examples are provided of building and deploying Java applications with Docker, including Spring Boot apps, Java EE apps, and using Docker for builds. Security features of Docker like content trust and scanning are summarized. The document concludes by discussing Docker use cases across different industries and how Docker enables critical transformations around cloud, DevOps, and application modernization.
Docker containers have been making inroads into Windows and Azure world. Docker has now replaced the traditional Azure IaaS & PaaS services, offering superior container versions which are more responsive, cost effective, and agile. In this session for Charlotte Azure User Group, we will take an in-depth look at the intersection of Docker and Azure, and how Docker is empowering next gen Azure services.
Here's the link to CAG meetup for the event - https://www.meetup.com/Charlotte-Microsoft-Azure/events/fpftgmyxjbjb/
Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/
PLEASE NOTE:
During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
DETAILS ABOUT THE WORKSHOP:
Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Docker Azure Friday OSS March 2017 - Developing and deploying Java & Linux on...Patrick Chanezon
This document provides an overview of developing and deploying Java applications on Azure using Docker. It discusses using Docker to build Java applications, running containers, and deploying stacks. It also covers Docker Enterprise Edition, including subscriptions, certifications, and security features. Finally, it demonstrates using Docker on Azure, such as with Azure Container Service, and shows examples of building, running, and deploying Java applications with Docker.
Docker moves very fast, with an edge channel released every month and a stable release every 3 months. Patrick will talk about how Docker introduced Docker EE and a certification program for containers and plugins with Docker CE and EE 17.03 (from March), the announcements from DockerCon (April), and the many new features planned for Docker CE 17.05 in May.
This talk will be about what's new in Docker and what's next on the roadmap
Dev opsec dockerimage_patch_n_lifecyclemanagement_kanedafromparis
Lors de cette présentation, nous allons dans un premier temps rappeler la spécificité de docker par rapport à une VM (PID, cgroups, etc) parler du système de layer et de la différence entre images et instances puis nous présenterons succinctement kubernetes.
Ensuite, nous présenterons un processus « standard » de propagation d’une version CI/CD (développement, préproduction, production) à travers les tags docker.
Enfin, nous parlerons des différents composants constituant une application docker (base-image, tooling, librairie, code).
Une fois cette introduction réalisée, nous parlerons du cycle de vie d’une application à travers ses phases de développement, BAU pour mettre en avant que les failles de sécurité en période de développement sont rapidement corrigées par de nouvelles releases, mais pas nécessairement en BAU où les releases sont plus rares. Nous parlerons des diverses solutions (jfrog Xray, clair, …) pour le suivie des automatique des CVE et l’automatisation des mises à jour. Enfin, nous ferons un bref retour d’expérience pour parler des difficultés rencontrées et des propositions d’organisation mises en oeuvre.
Cette présentation bien qu’illustrée par des implémentations techniques est principalement organisationnelle.
Cloud-native .NET Microservices mit KubernetesQAware GmbH
Mario-Leander Reimer presented on building cloud-native .NET microservices with Kubernetes. He discussed key principles of cloud native applications including designing for distribution, performance, automation, resiliency and elasticity. He also covered containerization with Docker, composing services with Kubernetes and common concepts like deployments, services and probes. Reimer provided examples of Dockerfiles, Kubernetes definitions and using tools like Steeltoe and docker-compose to develop cloud native applications.
Federated Kubernetes: As a Platform for Distributed Scientific ComputingBob Killen
A high level overview of Kubernetes Federation and the challenges encountered when building out a Platform for multi-institutional Research and Distributed Scientific Computing.
Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers
✭✭ NOTE: a revised version of this lab is available at https://www.slideshare.net/williamyeh/rd-kubernetes-gdg-cloud-kh-201908-version ✭✭
90-Minute Workshop held at Taiwan Cloud Edge Summit 2019 (台灣雲端大會).
* 課程簡介
Kubernetes 是目前雲端環境的顯學。可是,傳統的程式,並不是原封不動搬上去,就能夠自動享受 Kubernetes 所宣稱的種種好處。 新的環境,不僅需要新的 Ops 思維,也需要新的 Dev 思維。我們將以一個半小時的時間,從軟體研發者的角度,探討軟體的設計該做哪些最起碼的改變,從實作中體驗 Kubernetes 引進的新觀念及新效益。
* 課程目標
從實例中體驗,傳統 web 應用程式在搬上 Kubernetes 時,可能會經歷哪些架構面的調整,才能享受新架構的效益:
- 容器化
- 微服務
- 組態管理
- 多重環境管理:本機端與雲端(以 GKE 為例)
3 years ago, Meetic chose to rebuild it's backend architecture using microservices and an event driven strategy. As we where moving along our old legacy application, testing features became gradually a pain, especially when those features rely on multiple changes across multiple components. Whatever the number of application you manage, unit testing is easy, as well as functional testing on a microservice. A good gherkin framework and a set of docker container can do the job. The real challenge is set in end-to-end testing even more when a feature can involve up to 60 different components.
To solve that issue, Meetic is building a Kubernetes strategy around testing. To do such a thing we need to :
- Be able to generate a docker container for each pull-request on any component of the stack
- Be able to create a full testing environment in the simplest way
- Be able to launch automated test on this newly created environment
- Have a clean-up process to destroy testing environment after tests To separate the various testing environment, we chose to use Kubernetes Namespaces each containing a variant of the Meetic stack. But when it comes to Kubernetes, managing multiple namespaces can be hard. Yaml configuration files need to be shared in a way that each people / automated job can access to them and modify them without impacting others.
This is typically why Meetic chose to develop it's own tool to manage namespace through a cli tool, or a REST API on which we can plug a friendly UI.
In this talk we will tell you the story of our CI/CD evolution to satisfy the need to create a docker container for each new pull request. And we will show you how to make end-to-end testing easier using Blackbeard, the tool we developed to handle the need to manage namespaces inspired by Helm.
Docker allows creating isolated environments called containers from images. Containers provide a standard way to develop, ship, and run applications. The document discusses how Docker can be used for scientific computing including running different versions of software, automating computations, sharing research environments and results, and providing isolated development environments for users through Docker IaaS tools. K-scope is a code analysis tool that previously required complex installation of its Omni XMP dependency, but could now be run as a containerized application to simplify deployment.
Extending DevOps to Big Data Applications with KubernetesNicola Ferraro
DevOps, continuous delivery and modern architectural trends can incredibly speed up the software development process. Big Data applications cannot be an exception and need to keep the same pace.
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.
Docker San Francisco Meetup April 2015 - The Docker Orchestration Ecosystem o...Patrick Chanezon
The document discusses the Docker ecosystem including:
- The history and components of Docker including the Docker Engine, Hub, Machine, Compose, and Swarm.
- How Docker provides isolation using Linux kernel features like namespaces and cgroups.
- Other projects in the Docker ecosystem like Weave, Flocker, and Powerstrip.
- Orchestration tools like Docker Swarm and Kubernetes that manage Docker containers across multiple hosts.
- Platforms that are built on Docker like CoreOS, Deis, Cloud Foundry, and IBM Bluemix.
The document discusses different platforms for deploying microservices using containers including Docker, Kubernetes, AWS ECS, AWS Elastic Beanstalk, OpenShift, and Fabric8. Docker allows deploying containers but does not provide orchestration capabilities. Kubernetes provides orchestration of containers across clusters and can be deployed on-premises or on cloud providers. AWS ECS and Elastic Beanstalk integrate Docker containers with AWS but lack portability. OpenShift is a distribution of Kubernetes that can be used to deploy and manage containerized applications. Fabric8 builds upon Docker and Kubernetes to provide a full Platform as a Service with DevOps capabilities.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Not a Kubernetes fan? The state of PaaS in 2024Anthony Dahanne
Kubernetes won the containers orchestration war. But has it made deploying your apps easier?
Let's explore some of Kubernetes extensive app developer tooling, but mainly what the PaaS space looks like in 2024; 17 years after Heroku made it popular.
Is Heroku still around? What about Cloud Foundry?
And what are those new comers (fly.io, repl.it) worth?
Did the Cloud giants replace them all?
No more Dockerfiles? Buildpacks to help you ship your image!Anthony Dahanne
Do you always create a new Dockerfile for each new project?
Do you implement your own SSL certificate logic in this Dockerfile?
Do you forget to update your base image version?
Do you wonder how to generate a Bill Of Material to comply with your organization requirements?
Have you answered yes to any of those questions? Come and attend this talk to learn a new way to build your images, all use cases included - demos provided along the way!
This document discusses buildpacks, which are tools that detect and build container images for applications. Specifically, it covers cloud native buildpacks, which are open source and allow building OCI images. It provides an overview of where buildpacks originated from projects like Heroku and Cloud Foundry. It also describes Paketo buildpacks, which are maintained buildpacks that provide benefits like adding CA certificates automatically and generating security reports. Integrating buildpacks into existing pipelines can be done in various ways like using Kubernetes, GitHub Actions, or platform services that support buildpacks natively.
Buildpacks: the other way to build container imagesAnthony Dahanne
Buildpacks have been around for more than 10 years!
First they were used to detect and build an app before deploying it to a couple of PaaS.
Then we could create Docker (OCI) images with them.
Are they a good alternative to the Dockerfile?
Who's supporting them and how?
Come and find out during this session that will feature demos along the way!
Tu changes d'emploi - retour d'experience d'un développeurAnthony Dahanne
Article de blog: https://blog.dahanne.net/2022/02/22/tu-changes-demploi-retour-dexperience-dun-developpeur-les-notes/
Changer d'emploi est probablement parmi les décisions les plus difficiles dans la carrière d'un développeur; et pourtant çà fait partie des étapes incontournables (et souvent mal préparées...).
Explorons ensemble (à l'aide d'exemples) les points à ne pas rater:
* Est il nécessaire de changer ?
* Se préparer aux entretiens RH, techniques ( puzzles / coder en direct / travail à préparer / entrevue design, etc. )
* Évaluation de l'offre
It's 2021 and containerization has been happening for 7 years already.
In the Java space, there are several ways to package a Java application as a Docker image.
Let's discover them from the Dockerfile to the CNCF Buildpacks, mentioning the Jib way too!
Contribuer à la traduction française de kubernetesAnthony Dahanne
S'il est possible de contribuer à la documentation française de Kubernetes, comment s'y prendre ? Cette présentation décrit l'ensemble des étapes; pour plus de détails, vous pouvez consulter : https://blog.dahanne.net/2019/08/19/devenir-traducteur-pour-la-documentation-kubernetes/
Is caching data in your application still relevant today, with all those HTTP caches, very fast key value stores, and microservices? During this presentation, you will learn the basics of caching (TTL, TTI, invalidation, tiering, and so on), key figures in the caching world, how the Java community came up with a specification (JSR 107), and how you can leverage it in your application with the implementation of your choice (EhCache 3). During the multiple demos, you’ll even see how you can sync up your (clustered) caches when you start scaling your application.
This document discusses Docker and Java. It provides an agenda that includes Docker fundamentals, running Java applications in containers, a Hello World example from a Java container, deploying a SpringBoot app in a container, and multi-container deployments. It also discusses extras like CI/CD on premises vs cloud-based deployment and interacting with Docker from Java applications.
Talk given during Devoxx Belgium 2016
https://cfp.devoxx.be/2016/speaker/anthony_dahanne
Caching 101
Caching on the JVM
Clustered Caching with Terracotta Server
Deployment examples
On Thursday the 28th of January 2016, Anthony Dahanne gave a talk on how to leverage Docker to package Java applications.
After a quick introduction to Docker principles, Anthony showed some demos (available on github) on how to create Docker images for simple and not so simple Java webapps.
Then, he went on with CI/CD examples, and finished with a quick intro to the Docker Java API.
http://blog.dahanne.net/2016/01/31/docker-and-java-notes-from-the-montreal-jug-presentation/
This document summarizes a presentation about making Java applications REST enabled. It discusses using the Terracotta Management Console as an example of a REST API. It provides an introduction to REST and Java integration using JAX-RS, including common annotations used in JAX-RS like @Path, @GET and @Produces. It also discusses binding request parameters and using content handlers in JAX-RS.
These are the slides of the talk given during the Confoo 2012 conference.
For building an Android app from inside the IDE, Google provides with ADT, an Eclipse plugin to create emulators , compile your code, run the tests, package it and deploy it to a device.
Reading this presentation, you will learn how to all those steps in a "headless"way, outside the IDE, so that tools such as Jenkins / Hudson or even Travis-CI can build and test your applications.
Also, this presentation introduces to the reader the concept of Continuous Quality Control with Sonar and Continuous Deployment with Nexus : possible even for Android apps now !
The document discusses asynchronous tasks in Android and the AsyncTask API. It recommends using AsyncTask for remote calls and intensive computing to provide a better user experience. The AsyncTask API provides methods like doInBackground() and onPostExecute() that allow performing operations in the background and updating the UI respectively. An example is provided to demonstrate using AsyncTask in a real application.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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!
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!
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.
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.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
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!
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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
2. SOME CONTEXT : YOUR PRESENTER !
„Anthony Dahanne, Software Engineer
@Terracotta, a Software AG company
„Montréal JUG leader
„Working on Terracotta cloud deployments
(Docker, Kubernetes, AWS, etc.)
„Also working on Management and Monitoring for
Terracotta products
3. “The Cloud”
n
…
SOME CONTEXT : YOUR PRESENTER’S MISSION
PostgreSQL
Webapp with
Ehcache3 Clustered
Terracotta Server Terracotta Server
„Ehcache3 : Open Source caching library for Java „Terracotta Server : OSS clustered backend for Ehcache3
4. AGENDA
• It all started with Docker
• Then came Kubernetes
• But Helm too !
• Extending Kubernetes in Java ???
• What’s next ?
5. DOCKERFILE !
FROM openjdk:8-jdk-alpine
LABEL maintainers="Anthony Dahanne <anthony.dahanne@softwareag.com>"
RUN wget -q http://repo1.maven.org/maven2/3.6.1/ehcache-clustered-3.6.1-kit.tgz
&& tar xvzf ehcache-clustered-3.6.1-kit.tgz -C /terracotta
COPY conf/tc-config-active-passive.xml /terracotta/server/conf/tc-config-active-passive.xml
COPY entrypoint.sh /terracotta/entrypoint.sh
# all below commands will now be relative to this path
WORKDIR /terracotta/server
# the tsa port (used by the clients to connect to the cluster)
EXPOSE 9410
# the group port (used to sync the passives with the active)
EXPOSE 9430
ENV OFFHEAP_RESOURCE1_NAME "offheap-1"
ENV OFFHEAP_RESOURCE1_UNIT "MB"
ENV OFFHEAP_RESOURCE1_SIZE "512"
# before starting the terracotta server, we update the tc-config.xml configuration file
ENTRYPOINT /terracotta/entrypoint.sh
8. SED OR ITS KUBERNETES BROTHER, KUSTOMIZE
kustomize targets kubernetes; it understands and can patch kubernetes style API objects. It's like
make, in that what it does is declared in a file, and it's like sed, in that it emits editted text.
resources:
- kubernetes-complete-deployment.yaml
imageTags:
- name: terracotta/terracotta-server-oss
newTag: 5.4.3
kustomization.yaml
containers:
- name: terracotta
image: terracotta/terracotta-server-oss:5.5.1
my-deployment.yaml
kustomize build | kubectl apply -f -
containers:
- name: terracotta
image: terracotta/terracotta-server-oss:5.4.3
??????????????
???????????
?????????????
??????????????
9. KUBERNETES PACKAGING : HELM
• Helm is installed on the client, Tiller is the server side
• With Helm you deploy / create Charts that are run as Releases
• In a Chart, you package your Kubernetes manifests, and your dependencies
• A very notable feature is the “templatization“ of your Kubernetes manifests
APT / YUM FOR KUBERNETES
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: {{ template "terracotta.fullname" . }}
labels:
app: {{ template "terracotta.name" . }}
spec:
replicas: {{ .Values.replicaCount }}
selector:
matchLabels:
app: {{ template "terracotta.name" . }}
serviceName: {{ template "terracotta.fullname" . }}
spec:
{{- if .Values.nodeSelector }}
nodeSelector:
{{ toYaml .Values.nodeSelector | indent 8 }}
{{- end }}
containers:
- name: {{ template "terracotta.fullname" . }}
image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}”
10. QUICK BACK TO BASICS : KUBERNETES ARCHITECTURE
By Khtan66 - CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=53571935
11. WHAT IS AN OPERATOR ?
• An Operator is a method of packaging, deploying and managing a Kubernetes
application.
• To be able to make the most of Kubernetes, you need a set of cohesive APIs to
extend in order to service and manage your applications that run on Kubernetes.
You can think of Operators as the runtime that manages this type of application
on Kubernetes.
• Operators are purpose-built to run a Kubernetes application, with operational
knowledge baked in. They will be smarter and more tailored than generic tools.
from : https://coreos.com/operators/
12. KUBERNETES OPERATOR IN JAVA
• Operators (or controllers) provide better user experience for deploying and
managing complex applications like databases (PostgreSQL, Terracotta server, etc.)
• They can create and manage their own Custom Resource Definitions (CRDs)
- or provide a CLI or UI via their own REST endpoints
USING FABRIC8 OR KUBERNETES JAVA SDK
<dependency>
<groupId>io.fabric8</groupId>
<artifactId>kubernetes-client</artifactId>
<version>4.0.3</version>
</dependency>
<dependency>
<groupId>io.kubernetes</groupId>
<artifactId>client-java</artifactId>
<version>3.0.0-beta2</version>
</dependency>
Service tmcService = new ServiceBuilder()
.withNewMetadata()
.withName("tmc")
.endMetadata()
.withNewSpec()
.addNewPort()
.withName("tmc-port")
.withPort(9480)
.endPort()
.withType("LoadBalancer")
.addToSelector("app", "tmc")
.endSpec()
.build();
13. TERRACOTTA OPERATOR ARCHITECTURE
Kubernetes Cluster
Terracotta Operator
REST API
CLI / Web UI
K8S API Server
Java SDK
REST calls
tc-configs
operator config
Terracotta
ServerTerracotta
Server
ConfigMaps
Services,
StatefulSets
A PRIVILEGED POD THAT LISTENS TO THE USER
14. TERRACOTTA OPERATOR ARCHITECTURE
Kubernetes Cluster
Terracotta Operator
kubectl apply
K8S API Server
Java SDK
Watch
tc-configs
operator config
Terracotta
ServerTerracotta
Server
ConfigMaps
Services,
StatefulSets
A PRIVILEGED POD THAT LISTENS TO THE API SERVER
15. WHAT’S NEXT ?
• Kubectl plugins : to integrate your operator into kubectl
• Service catalog : to allow your users to just “require” your software
LINKS AND OTHER REFERENCES
• https://github.com/Terracotta-OSS/docker
• https://github.com/helm/charts/tree/master/stable/terracotta
• https://github.com/Terracotta-OSS/terracotta-operator
• The fullstack demo app (and its jib, kubernetes, helm, scaffold files) is on Github