This document provides an introduction to Kubernetes, including definitions of key concepts like pods, services, labels, replica sets, deployments, and horizontal pod autoscaling. It explains how Kubernetes abstracts and virtualizes resources to run and manage containers across a cluster. Examples and diagrams illustrate concepts like pod networking and canary deployments. The document recommends resources for learning more about Kubernetes and getting started, including Google Cloud Platform and a demo of Kubernetes capabilities.
Author: Oleg Chunikhin, www.eastbanctech.com
Kubernetes is a portable open source system for managing and orchestrating containerized cluster applications. Kubernetes solves a number of DevOps related problems out of the box in a simple and unified way – rolling updates and update rollback, canary deployment and other complicated deployment scenarios, scaling, load balancing, service discovery, logging, monitoring, persistent storage management, and much more. You will learn how in less than 30 minutes a reliable self-healing production-ready Kubernetes cluster may be deployed on AWS and used to host and operate multiple environments and applications.
Author: Oleg Chunikhin, www.eastbanctech.com
Kubernetes is a portable open source system for managing and orchestrating containerized cluster applications. Kubernetes solves a number of DevOps related problems out of the box in a simple and unified way – rolling updates and update rollback, canary deployment and other complicated deployment scenarios, scaling, load balancing, service discovery, logging, monitoring, persistent storage management, and much more. You will learn how in less than 30 minutes a reliable self-healing production-ready Kubernetes cluster may be deployed on AWS and used to host and operate multiple environments and applications.
K8s in 3h - Kubernetes Fundamentals TrainingPiotr Perzyna
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. This training helps you understand key concepts within 3 hours.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
Applications need data. Containers remain ephemeral but we don't want our data to disappear. So how does it work with Kubernetes?
This session will examine the individual pieces required for creating persistent applications in Kubernetes. You will learn about in-tree and out-of-tree storage drivers, PersistentVolumes (PV), PersistentVolumeClaims (PVC), Dyanamic Provisioning, how to use all of these in your Deployments and StatefulSets, high availability, and what happens to the volumes when you delete objects. Get ramped up on everything you need to know about using persistent storage in Kubernetes
This presentation was delivered at Open Source Summit EU 2017
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here:
https://github.com/mrbobbytables/k8s-intro-tutorials
Kubernetes for Beginners: An Introductory GuideBytemark
An introduction to Kubernetes for beginners. Includes the definition, architecture, benefits and misconceptions of Kubernetes. Written in plain English, ideal for both developers and non-developers who are new to Kubernetes.
Find out more about Kubernetes at Bytemark here: https://www.bytemark.co.uk/managed-kubernetes/
This presentation covers how app deployment model evolved from bare metal servers to Kubernetes World.
In addition to theoretical information, you will find free KATACODA workshops url to perform practices to understand the details of the each topics.
A brief study on Kubernetes and its componentsRamit Surana
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Monitoring, Logging and Tracing on KubernetesMartin Etmajer
In this presentation, I'll describe a variety of tools, like the Kubernetes Dashboard, Heapster, Grafana, Fluentd, Elasticsearch, Kibana, Jolokia and OpenTracing to bring Monitoring, Logging and Tracing to the Kubernetes container platform.
Slides from the talk given to the Startup Berlin Slack Group that demonstrates how TruckIN is implementing its continuous delivery workflow using technologies and open-source tools.
Topics that are covered: Automated Cloud Provisioning (Network, Subnets, VMs, Kubernetes Cluster, Firewall, Disks, Credentials, Private Docker Registry); Configuration Management (Salt Stack), Continuous Integration (Jenkins CI), Continuous Delivery/Deployment (Salt API/Reactor + Kubernetes) to a Google Cloud Kubernetes Cluster, Remote Application Debugging, Managing Google Cloud Kubernetes Cluster, Logging, Monitoring and ChatOps (Slack and operable.io)
K8s in 3h - Kubernetes Fundamentals TrainingPiotr Perzyna
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. This training helps you understand key concepts within 3 hours.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
Applications need data. Containers remain ephemeral but we don't want our data to disappear. So how does it work with Kubernetes?
This session will examine the individual pieces required for creating persistent applications in Kubernetes. You will learn about in-tree and out-of-tree storage drivers, PersistentVolumes (PV), PersistentVolumeClaims (PVC), Dyanamic Provisioning, how to use all of these in your Deployments and StatefulSets, high availability, and what happens to the volumes when you delete objects. Get ramped up on everything you need to know about using persistent storage in Kubernetes
This presentation was delivered at Open Source Summit EU 2017
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here:
https://github.com/mrbobbytables/k8s-intro-tutorials
Kubernetes for Beginners: An Introductory GuideBytemark
An introduction to Kubernetes for beginners. Includes the definition, architecture, benefits and misconceptions of Kubernetes. Written in plain English, ideal for both developers and non-developers who are new to Kubernetes.
Find out more about Kubernetes at Bytemark here: https://www.bytemark.co.uk/managed-kubernetes/
This presentation covers how app deployment model evolved from bare metal servers to Kubernetes World.
In addition to theoretical information, you will find free KATACODA workshops url to perform practices to understand the details of the each topics.
A brief study on Kubernetes and its componentsRamit Surana
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Monitoring, Logging and Tracing on KubernetesMartin Etmajer
In this presentation, I'll describe a variety of tools, like the Kubernetes Dashboard, Heapster, Grafana, Fluentd, Elasticsearch, Kibana, Jolokia and OpenTracing to bring Monitoring, Logging and Tracing to the Kubernetes container platform.
Slides from the talk given to the Startup Berlin Slack Group that demonstrates how TruckIN is implementing its continuous delivery workflow using technologies and open-source tools.
Topics that are covered: Automated Cloud Provisioning (Network, Subnets, VMs, Kubernetes Cluster, Firewall, Disks, Credentials, Private Docker Registry); Configuration Management (Salt Stack), Continuous Integration (Jenkins CI), Continuous Delivery/Deployment (Salt API/Reactor + Kubernetes) to a Google Cloud Kubernetes Cluster, Remote Application Debugging, Managing Google Cloud Kubernetes Cluster, Logging, Monitoring and ChatOps (Slack and operable.io)
GCP - Continuous Integration and Delivery into Kubernetes with GitHub, Travis...Oleg Shalygin
Kubernetes provides an automated platform to deployment, scaling and operations of applications across a cluster of hosts. Complementing Kubernetes with a series of build scripts in conjunction with Travis-CI, GitHub, Artifactory, and Google Cloud Platform, we can take code from a merged pull request to a deployed environment with no manual intervention on a highly scaleable and robust infrastructure.
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.
In this webinar, Alex Casalboni will overview the main FaaS concepts and best practices (Function as a Service), explore the open-source FaaS options and discuss pros and cons of deploying and managing your own serverless platform on Kubernetes.
Oxalide Workshop #5 - Docker avancé @ Kubernetes
5ème Workshop @Oxalide, animé par Julien Follenfant (@jf_flyn), Théo Chamley (@MrTrustor) et Ludovic Piot (@lpiot), le 13 octobre 2016.
Une étude de cas sur la mise en place d'une application Symfony2/PHP/MySQL sous forme de containers Docker, puis sous forme de pods dans Kubernetes.
Présentation de Kubernetes
Démonstration de miniKube
Démonstration du self-healing en cas de perte de pod et de perte de nœud du cluster Kubernetes sur AWS.
Subject: Oxalide's 5th Workshop about a case study on how to deploy a Symfony2 app in Docker, and then in miniKube and a production-ready Kubernetes cluster.
Date: 13-oct-2016
Speakers: Julien Follenfant (@jf_flyn, @oxalide), Théo Chamley (@MrTrustor, @oxalide) et Ludovic Piot (@lpiot, @oxalide)
Language: french
Lien SpeakerDeck : https://speakerdeck.com/lpiot/oxalide-workshop-number-5-docker-avance-and-kubernetes
Lien SlideShare : https://www.slideshare.net/LudovicPiot/oxalide-workshop-5-docker-avanc-kubernetes
YouTube Video capture: https://youtu.be/072FHARQSmE
Main topics:
* Introduction à la démo dev Docker
* Démo dev Docker
* Passage de Docker à Kubernetes et miniKube
* Présentation de Kubernetes
* Présentation de miniKube
* Démo de miniKube et self-healing
* Démo application multi-instances en haute disponibilité dans Kubernetes
* Self-healing du cluster Kubernetes sur AWS
* Questions/réponses
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
Oscon 2017: Build your own container-based system with the Moby projectPatrick Chanezon
Build your own container-based system
with the Moby project
Docker Community Edition—an open source product that lets you build, ship, and run containers—is an assembly of modular components built from an upstream open source project called Moby. Moby provides a “Lego set” of dozens of components, the framework for assembling them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
Patrick Chanezon and Mindy Preston explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud, or bare-metal scenarios. Patrick and Mindy explore Moby’s framework, components, and tooling, focusing on two components: LinuxKit, a toolkit to build container-based Linux subsystems that are secure, lean, and portable, and InfraKit, a toolkit for creating and managing declarative, self-healing infrastructure. Along the way, they demo how to use Moby, LinuxKit, InfraKit, and other components to quickly assemble full-blown container-based systems for several use cases and deploy them on various infrastructures.
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
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
Early adopters report "easier replication, faster deployment and lower configuration and operating costs" of applications that involve Docker containers - an open platform that allows developers and sysadmins to build, ship and execute distributed applications.
Not surprisingly then, a groundswell of organizations are interested in evaluating Docker containers in proof-of-concept initiatives and/or pilot projects. The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and (ultimately) integrated into application workflows.
In answering the 5 Ws and one H, the aim of this webinar is to provide a technical overview and demonstration of Docker and to frame its use within the context of High Performance Computing and Big Data Analytics.
Learn all about Docker.
Agenda:
• What are Docker containers - relative to physical machines, VMs and other containers?
• Who is responsible for Docker containers?
• Why and when were Docker containers created?
• What is the container ecosystem?
• Where is use of containers appropriate and not appropriate?
▸ HPC applications?
▸ Big Data Analytics? Specifically, Spark-based applications?
▸ On premise and in the cloud?
▸ Is running Docker different in HPC versus microservice-based applications?
• How can I make use of Docker containers?
▸ How can I containerize my application?
▸ How can I create, or make use of, a Docker image?
▸ How can I run Docker containers as I do other types of workloads?
• Getting Started and Next Steps
Speaker:
Ian Lumb, System Architect, Univa Corporation.
As an HPC specialist, Ian Lumb has spent about two decades at the global intersection of IT and science. Ian received his B.Sc. from Montreal's McGill University, and then an M.Sc. from York University in Toronto. Although his undergraduate and graduate studies emphasized geophysics, Ian's current interests include workload orchestration and container optimization for HPC to Big Data Analytics in clusters and clouds.
Video Download
Video is available in .mp4 format from http://www.univa.com/resources/webinar-docker101.php.
Rough presentation about the aspects and problems that you have to deal with when you build a system based on Docker. Presentation done for the Docker Amsterdam meetup.
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.
Applied Security for Containers, OW2con'18, June 7-8, 2018, ParisOW2
There’s a constant rise of the container usage in the existing cloud ecosystem.
Most companies are evaluating how to migrate to newer, flexible and automated platform for content and application delivery.
The containers are building themselves alone across the business, but who's securing them?
This presentation discusses the evolution of infrastructure solutions from servers to containers, how can they be secured.
What opensource security options are available today?
Where is the future leading towards container security?
What will come after containers?
Building specialized container-based systems with Moby: a few use cases
This talk will explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud or bare metal scenarios. We will cover Moby itself, the framework, and tooling around the project, as well as many of it’s components: LinuxKit, InfraKit, containerd, SwarmKit, Notary. Then we will present a few use cases and demos of how different companies have leveraged Moby and some of the Moby components to create their own container-based systems.
This 2nd version of the last year workshop will shed light on a modern solution to solve application portability, building, delivery, packaging, and system dependency issues. Containers especially Docker have seen accelerated adoption in the web, cloud and recently the enterprise. HPC environments are seeing something similar to the introduction of HPC containers Singularity and Shifter. They provide a good use case for solving software portability, not to mention ensure repeatability of results. Not to mention their ECO system provides for the better development, delivery, testing workflows that were alien to most of HPC environments. This workshop will cover the Theory and hands-on of containers and Its ecosystem. Introducing Docker and singularity containers; Docker as a general-purpose container for almost any app, Singularity as the particular container technology for HPC. The workshop will go over the foundations of the containers platform, including an overview of the platform system components: images, containers, repositories, clustering, and orchestration. The strategy is to demonstrate through "live demo, and hands-on exercises." The reuse case of containers in building a portable distributed application cluster running a variety of workloads including HPC workload.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
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
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
2. CTO @ DynoMarketing
Technologies: Java, Python, all kind of databases and
Cloud platform from Google, Aws, Azure.
Interests: Cloud computing / architecture, technology
evolution, distributed systems.
Husband, Father, GDE, Open source contributor.
Tu Pham
foto: Lars Kruse, Aarhus Universitet
Pervasive Systems group, Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University
2
14. resilience
or resiliency
[ri-zil-yuh ns, -zil-ee-uh ns]
noun
2.
1. the power or ability to return to the original form, position, etc., after being bent,
compressed, or stretched: elasticity.
ability to recover readily from illness, depression, adversity, or the like; buoyancy
Source: http://www.dictionary.com/browse/resilience
14
17. T h e f a l l a c i e s o f d i s t r i b u t e d c o m p u t i n g
1. T h e n e t w o r k is r e l i a b l e
2. L a t e n c y is ze r o
3. B a n d w i d t h is i n f i n i t e
4. T h e n e t w o r k is s e c u re
5. To p o l o g y doesn’t c h a n g e
6. T h e re is o n e a d m i n i s t r a t o r
7. Tra n s p o r t c o s t is ze r o
8. T h e n e t w o r k is h o m o g e n e o u s
17
18. - Application level
-
-
-
-
-
Synchronous/Asynchronous architecture (request/response, message queues)
Apply circuit breakers at integrationpoints
Manage timeouts
Bulkheads
Health checks
- Infrastructure level
-
-
Fault tolerance
Infrastructure that detectsfailures
What can wedo?
18
34. Google Container Engine
Fully Managed
Container Engine is fully managed by Google reliability
engineers, ensuring your cluster is available and up-to-
date.
Private ContainerRegistry
Google Container Registry makes it easy to store and
access your private Dockerimages.
Scalable
Easily adjust the cluster resources allocated to your
containers, or the size of your container cluster, as
your application's requirements change.
Docker Support
Container Engine supports the commonDocker
container format.
Logging
Enable Google Cloud Logging with a singlecheckbox,
making it easy to gain insight into how your
application is running
Hybrid Networking
Reserve an IP address range for your container cluster,
allowing your cluster IPs to coexist with private
network IPs via Google CloudVPN.
Source: https://cloud.google.com/container-engine/34
35. Google Container Registry
Container Engine
Use container images with Container Engine with no
authentication setup.
Advanced Authentication
Easily integrate with your favorite continuous
integration, continuous delivery, and container
orchestration systems withnative Docker Login
support.
Container Tags
Add and remove image tags with a simple click in the
web UI.
Docker V2 Registry API Support
Push and pull Docker images to your private Container
Registry using the V2API.
Docker CLIIntegration
Pull container images from Container Registry using
the standard Docker command lineinterface.
Regional Repositories
Get the fastest possible pull times by storing your
images close to your Compute Engine instances in
Europe,Asia, or USregional Cloud Storagebuckets.
Search Images
Quickly search for images by name and tag.
Nearline StorageIntegration
Archival storage of images in Cloud Storage Nearline
buckets.
Source: https://cloud.google.com/container-registry/35
36. Kubernetes - Infrastructure For EveryoneElse
Kubernetes is an open-source system for automating deployment, operations,
and scaling of containerizedapplications.
#GIFEE
36
43. “Containerization transforms the datacenter
from being machine-oriented to being
application-oriented”
Burns et al., Borg, Omega, and Kubernetes, 2016
Source: research.google.com/pubs/pub44843.html43
44. -
-
-
-
-
-
Greek for “pilot” or “helmsman of a ship”
Runs and manages containers
Builds on Googles experiences running a hyper-scale webplatform for more than 15 years.
Inspired by Googles internal Cluster Management and scheduling platform, “Borg”
Supports multiple cloud and bare-metalenvironments
100% Open source, written inGo
What is Kubernetes?
Source: https://youtu.be/_xNFt7FsWaA 44
47. Everything at Google runs incontainers
-
-
-
-
Gmail, Web search, …
MapReduce, batch, …
GFS,Colossus, …
Even Google’s Cloud Platform:
VMs run in containers
In fact, launches over 2 billion containers perweek.
Google and Containers
47
51. Pods
- Kubernetes uses nested containers
-
-
The outer-most one provides a pool of resources, and is called a pod
The inner ones provide deployment isolation
- Kubernetes regularizes things and always run an application container inside a top-level
pod, even if the pod contains a single container
-
-
-
“Apod is a collection of containers that are tightly bound”, Brian Dorsey
The atom of scheduling for containers
Runs on the same virtual/physicalhost
51
54. Pod networking
-
-
Pods have IPs which areroutable
Pods can communicate directly with each other
- Even across nodes
-
-
No brokering of PortNumbers
Many solutions
- Contiv
- Flannel
- Google Compute Engine
- L2 Networks and linux briding
- Nuage network VCS
- OpenVSwitch
- …
54
57. Services
-
-
-
Aservice has a static IP and aDNS entry
Acts as a load-balancer and knows how to route traffic to pods
Load balances incoming request across constituent pods
57
60. Labels
-
-
-
-
Labels are simple key/valuepairs
Kubernetes connects things together withlabels
Only grouping mechanism in Kubernetes
Reduces coupling
Web server
track=staging
app=webserver
tier=frontend
Container
Pod
60
62. ReplicaSets
-
-
A Replica Set ensures that a specified number of pods “replicas” are running at any given
time.
Replica Set is the next-generation ReplicationController
- The only difference right now is the selector support (set-based support)
- Use deployments tocontrol your Replica Sets
62
65. Deployments
-
-
-
Deployment is a higher-level concept that manages replica sets, pods and provides
declarative updates to pods along with a lot of other useful features
You only need to describe the desired state in a Deployment object, and the Deployment
controller will change the actual state to the desired state at a controlled rate for you
Deploying a new version will result in a rolling-update, where Kubernetes will replace one
pod at a time until all are running the latest version.
65
74. Scale (auto)
-
-
-
-
Horizontal Pod Autoscaler allows you to automatically scale the number of pods in a
deployment based on observed CPUutilization.
The autoscaler is implemented as a Kubernetes API resource and controller.
The resource describes behavior of thecontroller
The controller periodically adjusts the number of replicas in a deployment to match the
observed average CPU utilization to the target specified by the user.
74
75. Scale (auto)
Pod 1
Container
type=FE
Pod 2
Container
type=FE
Pod N
Container
type=FE
version=3 version=3 version=3
Deployment
Scale
…
Horizontal
Pod
Autoscaler
kubectl autoscale deployment foo --max=5 --cpu-percent=80
75
80. Kubernetes One Million Requests Per Second Demo
config-service
https://github.com/kubernetes/contrib
80
81. References
-
-
Book: “The Cloud computing bible”, Sosinsky,B.
Link: “Microservices - a definition of this new architectural term”, Fowler, M., Lewis, J.
- martinfowler.com/articles/microservices.html
- Link: “Borg, Omega, and Kubernetes”, Burns, B. et al.
- http://research.google.com/pubs/pub44843.html
- Link: “Introduction to Docker”
- http://pointful.github.io/docker-intro/
81