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.
- Archeology: before and without Kubernetes
- Deployment: kube-up, DCOS, GKE
- Core Architecture: the apiserver, the kubelet and the scheduler
- Compute Model: the pod, the service and the controller
Kubernetes intro public - kubernetes user group 4-21-2015reallavalamp
Kubernetes Introduction - talk given by Daniel Smith at Kubenetes User Group meetup #2 in Mountain View on 4/21/2015.
Explains the basic concepts and principles of the Kubernetes container orchestration system.
A Primer on Kubernetes and Google Container EngineRightScale
Docker and other container technologies offer the promise of improved productivity and portability. Kubernetes is one of the leading cluster management systems for Docker and powers the Google Container Engine managed service.
-A review of key Linux container concepts
-The role of Kubernetes in deploying Docker-based applications
-Primer on Google Container Service
-How RightScale works with containers and clusters
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.
- Archeology: before and without Kubernetes
- Deployment: kube-up, DCOS, GKE
- Core Architecture: the apiserver, the kubelet and the scheduler
- Compute Model: the pod, the service and the controller
Kubernetes intro public - kubernetes user group 4-21-2015reallavalamp
Kubernetes Introduction - talk given by Daniel Smith at Kubenetes User Group meetup #2 in Mountain View on 4/21/2015.
Explains the basic concepts and principles of the Kubernetes container orchestration system.
A Primer on Kubernetes and Google Container EngineRightScale
Docker and other container technologies offer the promise of improved productivity and portability. Kubernetes is one of the leading cluster management systems for Docker and powers the Google Container Engine managed service.
-A review of key Linux container concepts
-The role of Kubernetes in deploying Docker-based applications
-Primer on Google Container Service
-How RightScale works with containers and clusters
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
A basic introduction to Kubernetes. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
Kubernetes is a great tool to run (Docker) containers in a clustered production environment. When deploying often to production we need fully automated blue-green deployments, which makes it possible to deploy without any downtime. We also need to handle external HTTP requests and SSL offloading. This requires integration with a load balancer like Ha-Proxy. Another concern is (semi) auto scaling of the Kubernetes cluster itself when running in a cloud environment. E.g. partially scale down the cluster at night.
In this technical deep dive you will learn how to setup Kubernetes together with other open source components to achieve a production ready environment that takes code from git commit to production without downtime.
This is a presentation I held at "DevOps and Security" -meetup on 5th of April 2016 at RedHat.
Source is available at: https://github.com/jerryjj/devsec_050416
History and Basics of containers, LXC, Docker and Kubernetes. This presentation is given to Engineering colleage students at VIT DevFest 2018. Beginner to Intermediate level.
Top 3 reasons why you should run your Enterprise workloads on GKESreenivas Makam
This deck covers top 3 reasons why Google Kubernetes engine is best suited to run containerized workloads. The reasons covered are Security, Observability and Maturity.
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
An overview of the Kubernetes architectureIgor Sfiligoi
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
From the Philly Kubernetes December 2016 Meetup.
https://www.meetup.com/Kubernetes-Philly/events/234829676/
Kubernetes accelerates technical and business innovation through rapid development and deployment of applications. Learn how to deploy, scale, and manage your applications in a containerized environments using Kubernetes.
In this 60-minute workshop, Ross Kukulinski will review fundamental Kubernetes concepts and architecture and then will show how to containerize and deploy a multi-tier web application to Kubernetes.
Topics that will be covered include:
• Working with the Kubernetes CLI (kubectl)
• Pods, Deployments, & Services
• Manual & Automated Application Scaling
• Troubleshooting and debugging
• Persistent storage
- Introduction to Kubernetes features
- A look at Kubernetes Networking and Service Discovery
- New features in Kubernetes 1.6
- Kubernetes Installation options
To know more about our Kubernetes expertise, visit our center of excellence at: http://www.opcito.com/kubernetes/
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.
** 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
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
A basic introduction to Kubernetes. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
Kubernetes is a great tool to run (Docker) containers in a clustered production environment. When deploying often to production we need fully automated blue-green deployments, which makes it possible to deploy without any downtime. We also need to handle external HTTP requests and SSL offloading. This requires integration with a load balancer like Ha-Proxy. Another concern is (semi) auto scaling of the Kubernetes cluster itself when running in a cloud environment. E.g. partially scale down the cluster at night.
In this technical deep dive you will learn how to setup Kubernetes together with other open source components to achieve a production ready environment that takes code from git commit to production without downtime.
This is a presentation I held at "DevOps and Security" -meetup on 5th of April 2016 at RedHat.
Source is available at: https://github.com/jerryjj/devsec_050416
History and Basics of containers, LXC, Docker and Kubernetes. This presentation is given to Engineering colleage students at VIT DevFest 2018. Beginner to Intermediate level.
Top 3 reasons why you should run your Enterprise workloads on GKESreenivas Makam
This deck covers top 3 reasons why Google Kubernetes engine is best suited to run containerized workloads. The reasons covered are Security, Observability and Maturity.
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
An overview of the Kubernetes architectureIgor Sfiligoi
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
From the Philly Kubernetes December 2016 Meetup.
https://www.meetup.com/Kubernetes-Philly/events/234829676/
Kubernetes accelerates technical and business innovation through rapid development and deployment of applications. Learn how to deploy, scale, and manage your applications in a containerized environments using Kubernetes.
In this 60-minute workshop, Ross Kukulinski will review fundamental Kubernetes concepts and architecture and then will show how to containerize and deploy a multi-tier web application to Kubernetes.
Topics that will be covered include:
• Working with the Kubernetes CLI (kubectl)
• Pods, Deployments, & Services
• Manual & Automated Application Scaling
• Troubleshooting and debugging
• Persistent storage
- Introduction to Kubernetes features
- A look at Kubernetes Networking and Service Discovery
- New features in Kubernetes 1.6
- Kubernetes Installation options
To know more about our Kubernetes expertise, visit our center of excellence at: http://www.opcito.com/kubernetes/
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.
** 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
What's new in Kubernetes 1.3?
New things like:
Petsets, init-containers, ubernetes, federated clusters, improved kubernetes UI, minikube, support for rkt, etc.
Also find out sources to learn Kubernetes, how to participate with k8s community.
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.
KubeCon EU 2016: Using Traffic Control to Test Apps in KubernetesKubeAcademy
Testing applications is important, as shown by the rise of continuous integration and automated testing. In this talk, I will focus on one area of testing that is difficult to automate: poor network connectivity. Developers usually work within reliable networking conditions so they might not notice issues that arise in other networking conditions. I will give examples of software that would benefit from test scenarios with varying connectivity. I will explain how traffic control on Linux can help to simulate various network connectivity. Finally, I will run a demo showing how an application running in Kubernetes behaves when changing network parameters.
Sched Link: http://sched.co/6Bb3
An overview of the design principles to reliably and safely deploy cloud native applications into production. Trade offs of scripting and DSL models of deployment and how to make immutable deployments borrowing ideas from a type system with recursive templates. Examples given using Kubernetes and Helm with the concept of "construction" as a distinct deployment step.
KubeCon EU 2016: Getting the Jobs Done With KubernetesKubeAcademy
When you hear words such as Kubernetes or OpenShift you immediately start thinking
about long running processes you can easily scale at will. However, Kubernetes includes a lesser known feature which allows you to run pretty much anything from simple tasks up to highly-complicated ones.
During this presentation, the author of the Job resource in Kubernetes will guide you through several techniques for performing anything ranging from simple Pi calculations to rendering a movie. No matter if you're a data scientist running large scale calculations across several data centers or a hobby programmer running simple day-to-day tasks, this presentation is to teach you how to efficiently use Kubernetes Jobs on their own or as the building blocks of something
bigger.
This presentation will feature a number of live demos to help illustrate the various ways that you can put Jobs to work. Don’t miss out on learning about one of the coolest features of Kubernetes!
Sched Link: http://sched.co/6BUw
The world of Linux Containers might be the hottest technology helping businesses to build cloud ready applications and services. In this talk we will provide the current status of OpenStack support for containers and containers support for OpenStack.In the first part we will dive into two container-focused OpenStack projects: Magnum and Kolla and show how Magnum as an API service can help to provide "Containers as a Service" on top of OpenStack leveraging the capabilities of Kubernetes, Docker, Heat and Flannel, and show how Kolla is going to improve OpenStack operations by containerizing OpenStack components into micro services for simplified upgrades and deployment consistency, portability and scaling.In the second part we will see Magnum in action and learn how to get the whole thing running on top of his own, on an existing OpenStack Kilo environment!
Speaker: Daniel Bäurer
Noch mehr Vorträge von uns: https://www.inovex.de/de/content-pool/vortraege/
KubeCon EU 2016: Distributed containers in the physical worldKubeAcademy
The building industry in the world today is at large, far behind the rest of the world, technically. Alongside this, it is at threat of being dominated by a small selection of software vendors. These vendors push specific software solutions to the technically unskilled consumers in the AEC industry. The software they provide however is monolithic, native and heavy. Containers, distributed computing, and open source microservices and applications offer a solution to turn the construction industries future on its head. When computing is ubiquitous in our buildings with the internet of things, the whole way we think about building design has to change. We need to think in advance about how our applications which will run our buildings are developed. Each building is bespoke and the offers currently on the software market simply wont fit the bill in the near future. We are trying to develop a kubernetes based platform to lay the foundations for the future of lightweight bespoke apps developed for our built environment.
Sched Link:
Intro to Project Calico: a pure layer 3 approach to scale-out networkingPacket
Slide presentation from the April 16th, 2015 Downtown NY Tech Meetup hosted at Control Group and presented by Christopher Liljenstolpe from Project Calico (www.projectcalico.org)
Project Calico is a scale-out networking fabric for bare metal, container, VM, and hybrid environments. Project Calico leverages the same networking techniques used to scale out the Internet to present a highly scaleable, L3 network for those environments without the use of tunnels, overlays, or other complex constructs. We'll also do a demo of a Calico enabled Docker environment, and have plenty of time for q&a during and after.
About Christopher Liljenstolpe
Christopher is the original architect of Project Calico and one of the project's evangelists. In his day job, he's the director of solutions architecture at Metaswitch Networks. Prior to Calico/Metaswitch, he's designed and run some bio-informatics OpenStack clusters, done some SDN architecture work at Big Switch Networks, Run architecture at two large carriers (Telstra - AS1221, and Cable & Wireless/iMCI - AS3561) and been the IP CTO for Alcatel in Asia. He's also run networks in Antarctica (hint, bend radius becomes REALLY important at -50C), and been foolish enough to do a stint as a wg co-chair in the IETF. Occasionally you can have the (mis-)fortune of hearing him speak at conferences and the like.
Kubernetes has been a key component for many companies to reduce technical debt in infrastructure by:
• Fostering the Adoption of Docker
• Simplifying Container Management
• Onboarding Developers On Infrastructure
• Unlocking Continuous Integration and Delivery
During this meetup we are going to discuss the following topics and share some best practices
• What's new with Kubernetes 1.3
• Generate Cluster Configuration using CloudFormation
• Deploy Kubernetes Clusters on AWS
• Scaling the Cluster
• Integrating Ingress with Elastic Load Balancer
• Using Internal ELB's as Kubernetes' Service
• Using EBS for persistent volumes
• Integrating Route53
Nebulaworks invited Bitnami's software engineer, Adnan Abdulhussein to present on, "The App Developer's Kubernetes Toolbox."
Details:
If you're developing applications on top of Kubernetes, you may be feeling overwhelmed with the vast number of development tools in the ecosystem at your disposal. Kubernetes is growing at a rapid pace, and it's becoming impossible to keep up with the latest and greatest development environments, debuggers, and build test and deployment tools.
Learn:
• The current state of development in Kubernetes
• Comparison of shared and local Kubernetes development environments
• Overview of different development tools in the ecosystem
• Which tools make sense in common scenarios
• How Bitnami uses Kubernetes as a development environment
Watch this presentation and learn about Kubernetes Networking:
How to build applications without knowing subnets & IP addresses and build modern cloud-friendly applications in an agile fashion.
Speakers: Vic Iglesias, Benjamin Good, Karl Isenberg
Venue: Google Cloud Next '19
Video: https://www.youtube.com/watch?v=rt287-94Pq4
Continuous Integration and Delivery allows companies to quickly iterate on and deploy their ideas to customers. In doing so, they should strive to have environments that closely match production. Using Kubernetes as the target platform across cloud providers and on-premises environments can help to mitigate some difficulties when ensuring environment parity but many other concerns can arise.
In this talk we will dive into the tools and methodologies available to ensure your code and deployment artifacts can smoothly transition among the various people, environments, and platforms that make up your CI/CD process.
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...DevDay.org
This session discusses OpenShift Enterprise (or OpenShift Container Platform). OpenShift Container Platform is Red Hat's on-premise private platform as a service product, built around a core of application containers powered by Docker, with orchestration and management provided by Kubernetes, on a foundation of Red Hat Enterprise Linux.
Docker Container As A Service
X11 Linux apps on mac in a container.
In container Java development with STS or Eclipse in a container.
Docker UCP and swarm load balancing with Interlock.
0507 057 01 98 * Adana Klima Tamir Servisi, Adana Klima Tamir Servisi, Adana Klima Tamir Servisleri, Arçelik Klima Tamir Servisi Adana, Beko Klima Tamir Servisi Adana, Demirdöküm Klima Tamir Servisi Adana, Vestel Klima Tamir Servisi Adana, Aeg Klima Tamir Servisi Adana, Bosch Klima Tamir Servisi Adana, Ariston Klima Tamir Servisi Adana, Samsung Klima Tamir Servisi Adana, Siemens Klima Tamir Servisi Adana, Profilo Klima Tamir Servisi Adana, Fujitsu Klima Tamir Servisi Adana, Baymak Klima Tamir Servisi Adana, Sharp Klima Tamir Servisi Adana, Mitsubishi Klima Tamir Servisi Adana, Alaska Klima Tamir Servisi Adana, Aura Klima Tamir Servisi Adana, Adana Çukurova Klima Servisleri, Adana Yüreğir Klima Servisleri, Adana Seyhan Klima Servisleri
This presentation will introduce you to Container, Docker, and Kubernetes with a live demo. This also explains Kubernetes basic concepts such as Pod, Deployment, Service, Ingress, and Rolling Update.
Facebook Live: https://www.facebook.com/imcinstitute/videos/4199946253380670
Youtube Recorded: https://youtu.be/vW1Yq5ftWZ4
IMC Live Webinar on July 17, 2020
This presentation will introduce you to Container, Docker, Kubernetes, and Google Kubernetes Engine (GKE) with a live demo. This also explains Kubernetes basic concepts such as Pod, Deployment, Service, Ingress, and Rolling Update.
See the recorded session on Facebook live here (min 46.49):
https://www.facebook.com/gdgcloudkl/videos/1013942759041907
There's also recorded session on Youtube here (min 46.49):
https://www.youtube.com/watch?v=ht0ynVjkDcI
GDG Cloud KL July Webinar on July 12, 2020
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
Interop 2018 - Understanding Kubernetes - Brian GracelyBrian Gracely
In the world of containers, Kubernetes has emerged as the dominant standard for managing how containers are deployed, monitored and managed. This talk will provide fundamental knowledge of how Kubernetes interacts with containers, storage, networking, security and application frameworks. The audience will learn about the core element of Kubernetes, including etcd, the Kubernetes API, the various types of controllers, and the Kubelet. In addition, we'll discuss the broad ecosystem of projects and technologies that make Kubernetes usable within the Enterprise, and across multiple cloud environments.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
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.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
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.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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!
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).
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
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.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
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.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
What's new in Kubernetes
1. Google Cloud Platform
What’s new in Kubernetes
Docker & Bay Area OpenSource meetup
February 16, 2016
Daniel Smith <dbsmith@google.com>
Senior Software Engineer
2. Google Cloud Platform
Kubernetes
Greek for “Helmsman”; also the root of the
words “governor” and “cybernetic”
• Runs and manages containers
• Inspired and informed by Google’s experiences
and internal systems
• Supports multiple cloud and bare-metal
environments
• Supports multiple container runtimes
• 100% Open source, written in Go
Manage applications, not machines
3. Google Cloud Platform
Google has been developing
and using containers to
manage applications for
over 10 years.
Images by Connie Zhou
7. Google Cloud Platform
Pods
Small group of containers & volumes
Tightly coupled
The atom of scheduling & placement
Shared namespace
• share IP address & localhost
• share IPC, etc.
Managed lifecycle
• bound to a node, restart in place
• can die, cannot be reborn with same ID
Example: data puller & web server
Consumers
Content
Manager
File
Puller
Web
Server
Volume
Pod
8. Google Cloud Platform
Volumes
Very similar to Docker’s concept
Pod scoped storage
Share the pod’s lifetime & fate
Support many types of volume plugins
• Empty dir (and tmpfs)
• Host path
• Git repository
• GCE Persistent Disk
• AWS Elastic Block Store
• Azure File Storage
• iSCSI
• Flocker
• NFS
• GlusterFS
• Ceph File and RBD
• Cinder
• FibreChannel
• Secret, ConfigMap, DownwardAPI
• Flex (exec a binary)
• ...
10. Google Cloud Platform
ReplicationControllers
A simple control loop
Runs out-of-process wrt API server
Has 1 job: ensure N copies of a pod
• if too few, start some
• if too many, kill some
• grouped by a selector
Cleanly layered on top of the core
• all access is by public APIs
Replicated pods are fungible
• No implied order or identity
ReplicationController
- name = “my-rc”
- selector = {“App”: “MyApp”}
- podTemplate = { ... }
- replicas = 4
API Server
How
many?
3
Start 1
more
OK
How
many?
4
12. Google Cloud Platform
Services
A group of pods that work together
• grouped by a selector
Defines access policy
• “load balanced” or “headless”
Gets a stable virtual IP and port
• sometimes called the service portal
• also a DNS name
VIP is managed by kube-proxy
• watches all services
• updates iptables when backends change
Hides complexity - ideal for non-native apps
Client
Virtual IP
13. Google Cloud Platform
External Services
Services IPs are only available inside the
cluster
Need to receive traffic from “the outside
world”
Builtin: Service “type”
• NodePort: expose on a port on every node
• LoadBalancer: provision a cloud load-balancer
DiY load-balancer solutions
• socat (for nodePort remapping)
• haproxy
• nginx
15. Google Cloud Platform
Ingress (L7)
Services are assumed L3/L4
Lots of apps want HTTP/HTTPS
Ingress maps incoming traffic to backend
services
• by HTTP host headers
• by HTTP URL paths
HAProxy, NGINX, AWS and GCE
implementations in progress
Now with SSL!
Status: BETA in Kubernetes v1.2
URL Map
Client
38. Google Cloud Platform
ConfigMaps
Problem: how to manage app configuration
• ...without making overly-brittle container images
12-factor says config comes from the
environment
• Kubernetes is the environment
Manage config via the Kubernetes API
Inject config as a virtual volume into your Pods
• late-binding, live-updated (atomic)
• also available as env vars
Status: GA in Kubernetes v1.2
node
API
Pod Config
Map
39. Google Cloud Platform
Secrets
Problem: how to grant a pod access to a
secured something?
• don’t put secrets in the container image!
12-factor says config comes from the
environment
• Kubernetes is the environment
Manage secrets via the Kubernetes API
Inject secrets as virtual volumes into your Pods
• late-binding, tmpfs - never touches disk
• also available as env vars
node
API
Pod Secret
41. Google Cloud Platform
Rolling Updates
ReplicationController
- replicas: 3
- selector:
- app: MyApp
- version: v1
Service
- app: MyApp
42. Google Cloud Platform
Rolling Updates
ReplicationController
- replicas: 3
- selector:
- app: MyApp
- version: v1
Service
- app: MyApp
# Update pods of frontend-v1 using new replication controller data in frontend-v2.json.
$ kubectl rolling-update frontend-v1 -f frontend-v2.json
# Update pods of frontend-v1 using JSON data passed into stdin.
$ cat frontend-v2.json | kubectl rolling-update frontend-v1 -f -
# Update the pods of frontend-v1 to frontend-v2 by just changing the image, and switching
the
# name of the replication controller.
$ kubectl rolling-update frontend-v1 frontend-v2 --image=image:v2
# Update the pods of frontend by just changing the image, and keeping the old name
$ kubectl rolling-update frontend --image=image:v2
52. Google Cloud Platform
Deployments
Rolling update is too imperative
Deployment manages RC changes for you
• stable object name
• updates are done server-side rather than client
• kubectl edit or kubectl apply is all you need
Aggregates stats
Can have multiple updates in flight
Status: BETA in Kubernetes v1.2
...
55. Google Cloud Platform
Jobs
Run-to-completion, as opposed to run-forever
• Express parallelism vs. required completions
• Workflow: restart on failure
• Build/test: don’t restart on failure
Aggregates success/failure counts
Built for batch and big-data work
Status: GA in Kubernetes v1.2
...
60. Google Cloud Platform
DaemonSets
Problem: how to run a Pod on every node
• or a subset of nodes
Similar to ReplicationController
• principle: do one thing, don’t overload
“Which nodes?” is a selector
Use familiar tools and patterns
Status: BETA in Kubernetes v1.2
Pod
62. Google Cloud Platform
Graceful Termination
Give pods time to clean up
• finish in-flight operations
• log state
• flush to disk
• 30 seconds by default
Catch SIGTERM, cleanup, exit ASAP
Pod status “Terminating”
Declarative: ‘DELETE’ manifests as an object
field in the API
64. Google Cloud Platform
HorizontalPodAutoScalers
Automatically scale ReplicationControllers to a
target utilization
• CPU utilization for now
• Probably more later
Operates within user-defined min/max bounds
Set it and forget it
Status: GA in Kubernetes v1.2
...
Stats
66. Google Cloud Platform
Cluster Scaling
Add nodes when needed
• e.g. CPU usage too high
• nodes self-register with API server
Remove nodes when not needed
• e.g. CPU usage too low
Status: Works on GCE, need other
implementations
...
67. Google Cloud Platform
New and coming soon
• Cron (scheduled jobs)
• Custom metrics
• “Apply” a config (even more declarative)
• Interactive containers
• Bandwidth shaping
• Third-party API objects
• Scalability: 1000 nodes, 100+ pods/node
• Performance
• Machine-generated Go clients (less deps!)
• Volume usage stats
• Multi-zone (AZ) support
• Multi-scheduler support
• Node affinity and anti-affinity
• Multi-cluster federation
• API federation
• More volume types
• Private Docker registry
• External DNS integration
• Volume classes and auto-provisioning
• Node fencing
• DiY Cloud Provider plugins
• More container runtimes (e.g. Hyper)
• Better auth{n,z}
• Network policy (micro-segmentation)
• Big data integrations
• Device scheduling (e.g. GPUs)
68. Google Cloud Platform
Kubernetes status & plans
Open sourced in June, 2014
• v1.0 in July, 2015
• v1.1 in November, 2015
• v1.2 ... soon!
Google Container Engine (GKE)
• hosted Kubernetes - don’t think about cluster setup
PaaSes:
• RedHat OpenShift, Deis, Stratos
Distros:
• CoreOS Tectonic, Mirantis Murano (OpenStack),RedHat
Atomic, Mesos
Hitting a ~3 month release cadence
69. Google Cloud Platform
The Goal: Read-write open source
Containers are a new way of working
Requires new concepts and new tools
Google has a lot of experience...
...but we are listening to users!
Your input does make a difference!
72. Google Cloud Platform
Kubernetes is Open
- open community
- open design
- open source
- open to ideas
http://kubernetes.io
https://github.com/kubernetes/kubernetes
slack: kubernetes
twitter: @kubernetesio
