CHECK OUT THE MARCH 17 UPDATE > https://www.slideshare.net/rhirschfeld/joint-openstack-kubernetes-environment-march-17-update/
Presented at the OpenStack summit, this presentation discusses the practical reality & timing of using Kubernetes as an underlay for OpenStack.
OpenStack on Kubernetes (BOS Summit / May 2017 update)rhirschfeld
This document discusses using Kubernetes as an underlay platform for OpenStack. Some key points:
1. Kubernetes is becoming more widely used and understood by operators compared to OpenStack. Using Kubernetes as an underlay could improve simplicity, stability, and upgrade processes for OpenStack.
2. There are still many technical challenges to address, such as networking, storage, tooling to manage OpenStack on Kubernetes, and ensuring containers meet Kubernetes' immutable infrastructure requirements.
3. Using Kubernetes as an underlay risks further confusing the messaging around OpenStack by implying Kubernetes is more stable or a replacement target. Clear communication will be important to avoid undermining OpenStack.
Manage thousands of k8s applications with minimal efforts using kube carrierLibbySchulze
KubeCarrier is an open source platform that allows managing applications and services across multiple Kubernetes clusters with minimal effort. It functions as an "operator of operators" by discovering custom resources from operators running in service clusters and making them available for users in a centralized service hub. This allows application operators to run in service clusters while KubeCarrier propagates the custom resources from the service hub to drive the operators across clusters. It provides a multi-tenant environment with support for multiple service providers and consumers.
Kubernetes has many ways to scale your workloads, most of what we hear about is scaling our cluster up with either with vm sets or autoscaling groups. There is another way, in this talk we will look at virtual kubelet. Virual Kubelet will allow us to talk to a cloud providers container as a service platform like ACI, fargate or ECI. We will deep dive into how you can scale your applications across virtual kubelet. One issue is the kubernetes service type has is scaling to zero due to the way routing to the pod happens if there is no pod for the service to route too. Scaling our applications to zero is just as important and scaling up. We will look at projects that integrate with the horizontal pod autoscaler that fix this issue. Allowing us to not only scale our applications up but as easily down to make our cluster truly elastic.
Tectonic Summit 2016: Multi-Cluster Kubernetes: Planning for UnknownsCoreOS
- Concur is a travel and expense management company with 6500+ employees and offices worldwide. They process over 70 million transactions and $50 billion in travel and expense spend annually.
- The presenter is a Principal Architect at Concur who has been working with Kubernetes since 2015. He discusses why Concur chose Kubernetes and CoreOS for container orchestration.
- Concur runs multiple Kubernetes clusters across different regions for high availability. A custom tool called kube2cnqr manages load balancing between clusters.
This document discusses using CI/CD and OpenStack cloud to automate development and operations processes. It outlines building a CI/CD infrastructure with OpenStack, including using an OpenStack cloud plugin to autoscale Jenkins slaves on demand. It also describes automating the provisioning and destruction of staging environments in OpenStack using Heat and Ansible to integrate with GitLab for merge request testing. The results showed improvements like continuous delivery, isolated ephemeral staging environments, faster and more reliable releases, and automatic scaling of resources. Challenges mentioned include scaling times in OpenStack and supporting non-containerized builds.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
CHECK OUT THE MARCH 17 UPDATE > https://www.slideshare.net/rhirschfeld/joint-openstack-kubernetes-environment-march-17-update/
Presented at the OpenStack summit, this presentation discusses the practical reality & timing of using Kubernetes as an underlay for OpenStack.
OpenStack on Kubernetes (BOS Summit / May 2017 update)rhirschfeld
This document discusses using Kubernetes as an underlay platform for OpenStack. Some key points:
1. Kubernetes is becoming more widely used and understood by operators compared to OpenStack. Using Kubernetes as an underlay could improve simplicity, stability, and upgrade processes for OpenStack.
2. There are still many technical challenges to address, such as networking, storage, tooling to manage OpenStack on Kubernetes, and ensuring containers meet Kubernetes' immutable infrastructure requirements.
3. Using Kubernetes as an underlay risks further confusing the messaging around OpenStack by implying Kubernetes is more stable or a replacement target. Clear communication will be important to avoid undermining OpenStack.
Manage thousands of k8s applications with minimal efforts using kube carrierLibbySchulze
KubeCarrier is an open source platform that allows managing applications and services across multiple Kubernetes clusters with minimal effort. It functions as an "operator of operators" by discovering custom resources from operators running in service clusters and making them available for users in a centralized service hub. This allows application operators to run in service clusters while KubeCarrier propagates the custom resources from the service hub to drive the operators across clusters. It provides a multi-tenant environment with support for multiple service providers and consumers.
Kubernetes has many ways to scale your workloads, most of what we hear about is scaling our cluster up with either with vm sets or autoscaling groups. There is another way, in this talk we will look at virtual kubelet. Virual Kubelet will allow us to talk to a cloud providers container as a service platform like ACI, fargate or ECI. We will deep dive into how you can scale your applications across virtual kubelet. One issue is the kubernetes service type has is scaling to zero due to the way routing to the pod happens if there is no pod for the service to route too. Scaling our applications to zero is just as important and scaling up. We will look at projects that integrate with the horizontal pod autoscaler that fix this issue. Allowing us to not only scale our applications up but as easily down to make our cluster truly elastic.
Tectonic Summit 2016: Multi-Cluster Kubernetes: Planning for UnknownsCoreOS
- Concur is a travel and expense management company with 6500+ employees and offices worldwide. They process over 70 million transactions and $50 billion in travel and expense spend annually.
- The presenter is a Principal Architect at Concur who has been working with Kubernetes since 2015. He discusses why Concur chose Kubernetes and CoreOS for container orchestration.
- Concur runs multiple Kubernetes clusters across different regions for high availability. A custom tool called kube2cnqr manages load balancing between clusters.
This document discusses using CI/CD and OpenStack cloud to automate development and operations processes. It outlines building a CI/CD infrastructure with OpenStack, including using an OpenStack cloud plugin to autoscale Jenkins slaves on demand. It also describes automating the provisioning and destruction of staging environments in OpenStack using Heat and Ansible to integrate with GitLab for merge request testing. The results showed improvements like continuous delivery, isolated ephemeral staging environments, faster and more reliable releases, and automatic scaling of resources. Challenges mentioned include scaling times in OpenStack and supporting non-containerized builds.
KubeCon China 2019 - Building Apps with Containers, Functions and Managed Ser...Patrick Chanezon
Cloud native applications are composed of many technologies and components, but three canonical abstraction emerged in the past few years that help developers structure their architecture: container, functions responding to events, and managed services.
This talk will explain how to develop (Docker, local Kubernetes, virtual Kubelet, OpenFaaS), deploy (managed Kubernetes, functions and services) and package (CNAB specification and tooling) applications using these three components and look at not only deployment workflows but also at day 2 concerns that a developer would need to consider in the cloud native landscape.
We will demo every topic and a Github repository will be available for developers to reproduce the demos and learn at their own pace.
Patrick Chanezon and Scott Coulton
Cloud Computing:
Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
PuppetConf 2017: Kubernetes in the Cloud w/ Puppet + Google Container Engine-...Puppet
Today there's a multitude of ways to get up and running with Kubernetes in the Cloud. In this talk we'll look at how easy it is to operationalize your K8s cluster deployments using the new gcontainer puppet module for Google Container Engine (GKE), Google’s Managed Kubernetes service. We'll walk you through an end to end deployment of a demo application using the gcontainer puppet module and the kubernetes module. We'll also take a deep dive into the unique value proposition that GKE brings to Kubernetes deployments, including security, scaling, federation, automated container builds, integrated private container registry and GPUs.
This document discusses Kubernetes operations (Kops), a tool for provisioning and managing Kubernetes clusters on AWS. Kops allows users to create, destroy, upgrade and maintain production-grade Kubernetes clusters from the command line. It automates the provisioning of Kubernetes clusters on AWS, deploying highly available Kubernetes masters and supporting upgrading and customizing clusters. The document demonstrates how to use Kops to build single and multi-master Kubernetes clusters on AWS with different configuration options.
By,
Sajith Ainikkal
In this brief talk I will touch up on how Pivotal & CloudFoundry Foundation driving a Cloud Agnostic Platform based approach towards building modern cloud native applications without worrying about the hassles of 'Day 2' issues of managing VM and Container clusters and its adoption across enterprise segments. I will also talk about few of the latest stuff in the market including the developments in BOSH, Open Service Broker APIs initiative and OCI (Open Container Initiative). Today Cloud Foundry Garden and Docker are two implementations of OCI and Garden containers can run a Cloud Foundry / Docker /Windows container image.
DockerCon EU 2015: Production Ready Containers from IBM and DockerDocker, Inc.
Presented by Jason McGee, VP and CTO - Cloud Foundation Services, IBM and Chris Rosen, Sr. Technical Offering Manager, IBM Containers
IBM and Docker continue to build on their partnership to deliver production-ready containers.
Learn how IBM’s commitment to open source and enterprise expertise combined with Docker container technology has resulted in solutions which provide the management and security needed for production environments. In this session, we will provide an update on the IBM and Docker partnership as well as discuss and demonstrate:
Docker Trusted Registry resold by IBM which includes IBM’s world-class support and
Integration with our DevOps solution, UrbanCode
IBM Containers on Bluemix which leverage the open source Docker engine, therefore
supporting your existing Docker images and Dockerfiles
How you can leverage the familiar Docker CLI against the IBM Bluemix cloud for standard
commands and the Cloud Foundry CLI plug-in for the IBM added capabilities
Ways to integrate deployed containers with any existing app or service from the Bluemix
catalog (120+ across DevOps, Analytics, Big Data, IoT, Watson, and Databases)
Use of the scalable container group deployment with integrated load balancer and optional
auto-recovery and GoRoute domain name
Integrated monitoring and logging at the container or container group level
Security compliance insight to any Docker image in the registry regardless of source (IBM
image, public Docker Hub, or automated creation via DevOps Pipeline) using the Vulnerability
Advisor
How IBM product teams, such as MobileFirst Platform and StrongLoop, are offering Docker
images in the IBM registry as a means to improve adoption efficiency
When you build a serverless app, you either tie yourself to a cloud provider, or you end up building your own serverless stack. Knative provides a better choice. Knative extends Kubernetes to provide a set of middleware components (build, serving, events) for modern, source-centric, and container-based apps that can run anywhere. In this talk, we’ll see how we can use Knative primitives to build a serverless app that utilizes the Machine Learning magic of the cloud.
Going Serverless with Kubeless In Google Container Engine (GKE)Bitnami
If you'd like to watch along with the recording of the webinar, visit: http://bitn.am/2u5bOnA
Serverless computing has given back loads of time and money to developers whose focus is to create new, popular and disruptive applications. Without serverless computing, developers would still be spending most of their time on infrastructure rather than building new features to improve their users' experience.
With the move to containers and increased market share for Kubernetes, Bitnami has wanted to stay one step ahead by providing a serverless tool that is also Kubernetes-native, ... Kubeless! Kubeless tackles the challenge of integrating cloud services through small logical units. When creating your new project or application on Kubernetes, Kubeless will allow you to focus on creating a great application with a lightweight and flexible infrastructure.
In this video, you will watch and learn:
-The benefits of serverless computing on Kubernetes
- How to link several cloud services together with small, lightweight pieces of code
- How to install Kubeless into your GKE cluster
- How to deploy Python and Node.js functions with a straightforward CLI call
- An introduction to the Kubeless UI and how to write, update, delete, and deploy functions through it
Save 60% of Kubernetes storage costs on AWS & others with OpenEBSMayaData Inc
With features like thin provisioning, per workload replication and snapshots, using OpenEBS can lower your storage TCO on any Kubernetes cloud by up to 60%. In this webinar you will see with in depth examples of the method a MayaData OpenEBS Enterprise customer used to save $ 75,000 a month.
Adopting containers and kubernetes in productionTa Ching Chen
Ta-Ching Chen is a DevOps and backend engineer with experience in system architecture design, implementation, and performance tuning. His blog details his work with Kubernetes, an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure. He discusses how Kubernetes helps eliminate dependency problems and ensure compatibility between services during upgrades through features like rolling upgrades and built-in service monitoring.
Speaker: Scott Nichols
We will take a look at Knative Serving and Eventing through an escalating demo that will let us tour the capabilities of Knative. Serving provides a container based scale to zero, scale real big functionality; as well as rainbow deploys, auto-TLS, domain mappings, and various knobs to control concurrency and scale traits. Eventing provides a thin abstraction on top of traditional message brokers (think Kafka or AMQP) that lets you compose your application without considering the message persistence choices in the moment.
This document provides an introduction to Kubernetes including:
- What Kubernetes is and what it does including abstracting infrastructure, providing self-healing capabilities, and providing a uniform interface across clouds.
- Key concepts including pods, services, labels, selectors, and namespaces. Pods are the atomic unit and services provide a unified access method. Labels and selectors are used to identify and group related objects.
- The Kubernetes architecture including control plane components like kube-apiserver, etcd, and kube-controller-manager. Node components include kubelet and kube-proxy. Optional services like cloud-controller-manager and cluster DNS are also described.
This document discusses various topics related to Kubernetes including rolling updates, networking using CNI, affinity and anti-affinity, persistent storage, monitoring and troubleshooting tools like Prometheus and Grafana, deploying Kubernetes on cloud platforms, and certifications for Kubernetes like CKA and CKAD. Key aspects of monitoring Kubernetes clusters include metrics on cluster state, node status, pod availability, and resource utilization of memory, disk, and CPU as well as API request latency.
Tectonic Summit 2016: Brandon Philips, CTO of CoreOS, KeynoteCoreOS
The document discusses CoreOS's expertise across the technology stack for container-based applications. This includes Linux, container engines, container image specifications, clustered databases like etcd, cloud independence, identity federation, and more. CoreOS is focused on open standards through initiatives like the Open Container Initiative and ensuring technologies like Kubernetes, rkt, and etcd can scale to power large production deployments.
Storage os kubernetes clusters need persistent dataLibbySchulze
Kubernetes clusters require persistent storage to unlock their full potential. Without persistent storage, workarounds are needed that sacrifice Kubernetes benefits. StorageOS provides persistent storage through storage classes, allowing multi-tenancy, data encryption, and migration of legacy apps to Kubernetes without additional scaffolding. It also enables features like read-write-many volumes through orchestrating user space NFS.
Kubernetes and the Rise of Application-centric ComputingBitnami
There is an ongoing transition in server-side infrastructure as successive technology layers emerge, evolve and mature. This talk introduces the architecture and features of Kubernetes and describes how Kubernetes is the natural “next step” in this changing landscape. We look at the new challenges in a world where the building blocks are “applications” rather than “servers” and finish with a glimpse into future function-centric serverless frameworks.
Cloud Computing:
Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
PuppetConf 2017: Kubernetes in the Cloud w/ Puppet + Google Container Engine-...Puppet
Today there's a multitude of ways to get up and running with Kubernetes in the Cloud. In this talk we'll look at how easy it is to operationalize your K8s cluster deployments using the new gcontainer puppet module for Google Container Engine (GKE), Google’s Managed Kubernetes service. We'll walk you through an end to end deployment of a demo application using the gcontainer puppet module and the kubernetes module. We'll also take a deep dive into the unique value proposition that GKE brings to Kubernetes deployments, including security, scaling, federation, automated container builds, integrated private container registry and GPUs.
This document discusses Kubernetes operations (Kops), a tool for provisioning and managing Kubernetes clusters on AWS. Kops allows users to create, destroy, upgrade and maintain production-grade Kubernetes clusters from the command line. It automates the provisioning of Kubernetes clusters on AWS, deploying highly available Kubernetes masters and supporting upgrading and customizing clusters. The document demonstrates how to use Kops to build single and multi-master Kubernetes clusters on AWS with different configuration options.
By,
Sajith Ainikkal
In this brief talk I will touch up on how Pivotal & CloudFoundry Foundation driving a Cloud Agnostic Platform based approach towards building modern cloud native applications without worrying about the hassles of 'Day 2' issues of managing VM and Container clusters and its adoption across enterprise segments. I will also talk about few of the latest stuff in the market including the developments in BOSH, Open Service Broker APIs initiative and OCI (Open Container Initiative). Today Cloud Foundry Garden and Docker are two implementations of OCI and Garden containers can run a Cloud Foundry / Docker /Windows container image.
DockerCon EU 2015: Production Ready Containers from IBM and DockerDocker, Inc.
Presented by Jason McGee, VP and CTO - Cloud Foundation Services, IBM and Chris Rosen, Sr. Technical Offering Manager, IBM Containers
IBM and Docker continue to build on their partnership to deliver production-ready containers.
Learn how IBM’s commitment to open source and enterprise expertise combined with Docker container technology has resulted in solutions which provide the management and security needed for production environments. In this session, we will provide an update on the IBM and Docker partnership as well as discuss and demonstrate:
Docker Trusted Registry resold by IBM which includes IBM’s world-class support and
Integration with our DevOps solution, UrbanCode
IBM Containers on Bluemix which leverage the open source Docker engine, therefore
supporting your existing Docker images and Dockerfiles
How you can leverage the familiar Docker CLI against the IBM Bluemix cloud for standard
commands and the Cloud Foundry CLI plug-in for the IBM added capabilities
Ways to integrate deployed containers with any existing app or service from the Bluemix
catalog (120+ across DevOps, Analytics, Big Data, IoT, Watson, and Databases)
Use of the scalable container group deployment with integrated load balancer and optional
auto-recovery and GoRoute domain name
Integrated monitoring and logging at the container or container group level
Security compliance insight to any Docker image in the registry regardless of source (IBM
image, public Docker Hub, or automated creation via DevOps Pipeline) using the Vulnerability
Advisor
How IBM product teams, such as MobileFirst Platform and StrongLoop, are offering Docker
images in the IBM registry as a means to improve adoption efficiency
When you build a serverless app, you either tie yourself to a cloud provider, or you end up building your own serverless stack. Knative provides a better choice. Knative extends Kubernetes to provide a set of middleware components (build, serving, events) for modern, source-centric, and container-based apps that can run anywhere. In this talk, we’ll see how we can use Knative primitives to build a serverless app that utilizes the Machine Learning magic of the cloud.
Going Serverless with Kubeless In Google Container Engine (GKE)Bitnami
If you'd like to watch along with the recording of the webinar, visit: http://bitn.am/2u5bOnA
Serverless computing has given back loads of time and money to developers whose focus is to create new, popular and disruptive applications. Without serverless computing, developers would still be spending most of their time on infrastructure rather than building new features to improve their users' experience.
With the move to containers and increased market share for Kubernetes, Bitnami has wanted to stay one step ahead by providing a serverless tool that is also Kubernetes-native, ... Kubeless! Kubeless tackles the challenge of integrating cloud services through small logical units. When creating your new project or application on Kubernetes, Kubeless will allow you to focus on creating a great application with a lightweight and flexible infrastructure.
In this video, you will watch and learn:
-The benefits of serverless computing on Kubernetes
- How to link several cloud services together with small, lightweight pieces of code
- How to install Kubeless into your GKE cluster
- How to deploy Python and Node.js functions with a straightforward CLI call
- An introduction to the Kubeless UI and how to write, update, delete, and deploy functions through it
Save 60% of Kubernetes storage costs on AWS & others with OpenEBSMayaData Inc
With features like thin provisioning, per workload replication and snapshots, using OpenEBS can lower your storage TCO on any Kubernetes cloud by up to 60%. In this webinar you will see with in depth examples of the method a MayaData OpenEBS Enterprise customer used to save $ 75,000 a month.
Adopting containers and kubernetes in productionTa Ching Chen
Ta-Ching Chen is a DevOps and backend engineer with experience in system architecture design, implementation, and performance tuning. His blog details his work with Kubernetes, an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure. He discusses how Kubernetes helps eliminate dependency problems and ensure compatibility between services during upgrades through features like rolling upgrades and built-in service monitoring.
Speaker: Scott Nichols
We will take a look at Knative Serving and Eventing through an escalating demo that will let us tour the capabilities of Knative. Serving provides a container based scale to zero, scale real big functionality; as well as rainbow deploys, auto-TLS, domain mappings, and various knobs to control concurrency and scale traits. Eventing provides a thin abstraction on top of traditional message brokers (think Kafka or AMQP) that lets you compose your application without considering the message persistence choices in the moment.
This document provides an introduction to Kubernetes including:
- What Kubernetes is and what it does including abstracting infrastructure, providing self-healing capabilities, and providing a uniform interface across clouds.
- Key concepts including pods, services, labels, selectors, and namespaces. Pods are the atomic unit and services provide a unified access method. Labels and selectors are used to identify and group related objects.
- The Kubernetes architecture including control plane components like kube-apiserver, etcd, and kube-controller-manager. Node components include kubelet and kube-proxy. Optional services like cloud-controller-manager and cluster DNS are also described.
This document discusses various topics related to Kubernetes including rolling updates, networking using CNI, affinity and anti-affinity, persistent storage, monitoring and troubleshooting tools like Prometheus and Grafana, deploying Kubernetes on cloud platforms, and certifications for Kubernetes like CKA and CKAD. Key aspects of monitoring Kubernetes clusters include metrics on cluster state, node status, pod availability, and resource utilization of memory, disk, and CPU as well as API request latency.
Tectonic Summit 2016: Brandon Philips, CTO of CoreOS, KeynoteCoreOS
The document discusses CoreOS's expertise across the technology stack for container-based applications. This includes Linux, container engines, container image specifications, clustered databases like etcd, cloud independence, identity federation, and more. CoreOS is focused on open standards through initiatives like the Open Container Initiative and ensuring technologies like Kubernetes, rkt, and etcd can scale to power large production deployments.
Storage os kubernetes clusters need persistent dataLibbySchulze
Kubernetes clusters require persistent storage to unlock their full potential. Without persistent storage, workarounds are needed that sacrifice Kubernetes benefits. StorageOS provides persistent storage through storage classes, allowing multi-tenancy, data encryption, and migration of legacy apps to Kubernetes without additional scaffolding. It also enables features like read-write-many volumes through orchestrating user space NFS.
Kubernetes and the Rise of Application-centric ComputingBitnami
There is an ongoing transition in server-side infrastructure as successive technology layers emerge, evolve and mature. This talk introduces the architecture and features of Kubernetes and describes how Kubernetes is the natural “next step” in this changing landscape. We look at the new challenges in a world where the building blocks are “applications” rather than “servers” and finish with a glimpse into future function-centric serverless frameworks.
The document discusses the importance of personal stories and shares the story of the presenter, Rosetta Eun Ryong Lee. It details her background growing up in Korea with her family, immigrating to America, and the people who helped guide her path such as her counselor. The presenter reflects on key lessons like not letting myths hold you back from mistakes that are part of growth. The document encourages readers to consider their own story.
La Termodinámica es la rama de la Física que estudia a nivel macroscópico las transformaciones de la energía, y cómo esta energía puede convertirse en trabajo (movimiento).
Históricamente, la Termodinámica nació en el siglo XIX de la necesidad de mejorar el rendimiento de las primeras máquinas térmicas fabricadas por el hombre durante la Revolución Industrial.
The document summarizes the process of hemoglobin degradation and bilirubin metabolism. It discusses how hemoglobin is broken down into globin, heme, and iron. Heme is further degraded into biliverdin and then bilirubin by heme oxygenase. Bilirubin is conjugated in the liver and secreted into bile. It is excreted in feces or reabsorbed and appears in urine. Conditions that interfere with bilirubin metabolism can cause jaundice. The document classifies types of jaundice and inherited disorders of bilirubin metabolism.
Aula demonstrativa grátis do Curso de Direito do Trabalho para Concurso MPU 2017 - Especialista em Direito. Veja todos Cursos para Concurso MPU 2017 no site: https://www.estrategiaconcursos.com.br/cursosPorConcurso/mpu-ministerio-publico-da-uniao/
Humic substances are major components of natural organic matter found in soils, sediments, and geologic deposits. They are formed by the microbial degradation of dead plant matter. Humic substances can be divided into humic acid, fulvic acid, and humin, and are characterized by their dark color, acidic and aromatic properties. They can complex with metals in natural waters and transport them long distances. Their ability to form complexes influences coagulant dosing in water treatment. Humic substances can impact human health, with humic acid possibly forming disinfection byproducts during chlorination, while fulvic acid may have benefits for brain health and infections but also impacts allergic reactions.
Baby Go! es una marca de productos orgánicos para bebés mayores de 6 meses. Ofrece compotas 100% orgánicas de frutas y verduras cultivadas de manera sostenible. Su misión es ofrecer alimentos nutritivos y de alta calidad para bebés colombianos. Su visión es ser líder del mercado reconocido por su certificación orgánica y presencia en Suramérica.
This document discusses alternative systems of health. It defines alternative health as healing approaches that originate from around the world and are not based on conventional western medicine. Some key alternative medical systems discussed include Ayurveda, Siddha, Unani, homeopathy and naturopathy. Biologically based treatments include herbal medicines and nutritional therapy. Mind body techniques involve using the mind to influence physical health, such as meditation and hypnotherapy. Manipulative methods comprise yoga and chiropractic. Energy therapies include massage, acupuncture and aromatherapy. The document also mentions other alternative therapies like dance therapy and cupping therapy.
I gave this presentation on 5/17 to the New Mexico VMUG in Santa Fe. The presentation provides an overview of OpenStack, what it is (and isn't), and some things you might learn to get started with OpenStack.
DevOps @Scale (Greek Tragedy in 3 Acts) as it was presented at Codemash 2017Baruch Sadogursky
As in a good Greek Tragedy, scaling devops to big teams has 3 stages and usually end badly. In this play (it’s more than a talk!) we’ll present you with Pentagon Inc, and their way to scaling devops from a team of 3 engineers to a team of 100 (spoiler – it’s painful!)
OpenStack is a proven open source software for creating private and public clouds. It is being used by a very large ecosystem of companies who use it every day to run their businesses.This talk will be an introduction to Openstack and it will cover the following:
- What is OpenStack
- Who is involved and who uses it
- Projects under the OpenStack umbrella
- OpenStack architecture(s)
- OpenStack releases
- How to contribute to OpenStack
- Q & A
Implementasi clustering pada jee containerThe World Bank
Implementasi Clustering Pada JEE Container membahas tentang pengertian cluster dan jenis-jenisnya, keuntungan menggunakan cluster, pengertian dan cara instalasi beberapa JEE Container seperti Tomcat, Glassfish dan Jboss, serta cara deploy web application ke dalam container tersebut."
El documento describe la fisiología del corazón. El ciclo cardiaco consta de tres etapas: la sístole auricular impulsa la sangre a los ventrículos, la sístole ventricular expulsa la sangre al sistema circulatorio, y la diástole permite la llegada de nueva sangre. El ritmo cardíaco es controlado por el nodo sinusal que coordina la despolarización de las aurículas y los ventrículos a través del nodo AV y el fascículo de His.
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides mechanisms for deploying, maintaining, and scaling applications. Kubernetes uses declarative APIs and controllers to maintain the desired state of applications. The document then discusses key Kubernetes concepts like pods, containers, services, labels, replication controllers, and selectors. It explains how Kubernetes operations work through components like the API server, scheduler, controller manager, kubelet, and proxy.
WebSphere Liberty and IBM Containers: The Perfect Combination for Java Micros...David Currie
Presentation from IBM InterConnect 2017.
Abstract: This session will demonstrate how WebSphere Application Server Liberty and Docker containers make the perfect combination for development and deployment of Java-based microservices. We'll show an end-to-end workflow, starting with creating a new service with the Liberty App Accelerator, local development with the free WebSphere Developer Tools, and then deployment to IBM Containers with the Bluemix DevOps Services.
Microservice Builder: A Microservice DevOps Pipeline for Rapid Delivery and P...David Currie
Presentation from IBM InterConnect 2017.
Abstract: Acceleratate your microservice delivery and promotion with an out-of-box DevOps pipeline! In this session, you'll learn how to use the Project Liber8 DevOps pipeline. We will explore its anatomy, operation, visualization, customization and ecosystem integration. We will further examine its use in deploying to IBM Cloud and on-premise deployments. A live demo will be used to reinforce concepts.
Cloud-Native Operations with Kubernetes and CI/CDVMware Tanzu
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
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
Build and Monitor Machine Learning Services in KubernetesKP Kaiser
There are many options to build and deploy machine learning models to production at scale. We’ll walk through the growing suite of tools to centralize model building and deployment at scale, with technologies like Kubeflow, Seldon and TensorRT. Finally, we’ll address techniques for monitoring these new services.
You’ll walk away with an understanding of a complete development lifecycle for scalable machine learning services.
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.
The path to a serverless-native era with Kubernetessparkfabrik
In this talk we'll talk about how the Serverless paradigms are changing the way we develop applications and cloud infrastructure and how we can implement them in a
efficient and seamless way with Kubernetes.
We'll go through the latest Kubernetes Serverless technologies, talking about all the aspects
including pricing, scalability, observability and best practices.
Legend has it that Google deploys over two billion application containers a week. How's that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Authors Kelsey Hightower, Brendan Burns, and Joe Beda--who've worked on Kubernetes at Google--explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.Explore the distributed system challenges that Kubernetes addressesDive into containerized application development, using containers such as DockerCreate and run containers on Kubernetes, using Docker's Image format and container runtimeExplore specialized objects essential for running applications in productionReliably roll out new software versions without downtime or errorsGet examples of how to develop and deploy real-world applications in Kubernetes
[Confoo Montreal 2020] Build Your Own Serverless with Knative - Alex GervaisAmbassador Labs
Google Cloud Run’s use of Knative introduced a portable Serverless solution built on top of Kubernetes. In this talk, we’ll recap the basic guidelines, use cases, and benefits of a Serverless architecture. Getting up and started, you will learn to take advantage of containers and the Ambassador API Gateway to serve event-driven application workloads and save costs using your existing Kubernetes resources.
https://confoo.ca/en/yul2020/session/build-your-own-serverless-with-knative
DevOps with Kubernetes and Helm - Jenkins World EditionJessica Deen
This document discusses DevOps with Kubernetes and Helm. It begins with an introduction by Jessica Deen and then provides an overview of key concepts like containers, Docker, Kubernetes, Helm, and Azure Kubernetes Service (AKS). It includes a demo of building and deploying an application using Docker images, Kubernetes, and Helm charts. It concludes with some best practices for using Kubernetes including building small containers, using namespaces and Helm charts, implementing RBAC, health checks, resource requests/limits, external services mapping, and not relying solely on load balancers.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containerized applications into logical units for easy management and discovery called pods. It can be used to deploy a containerized ASP.NET Core application. It provides basic mechanisms for self-healing, auto-scaling and updates through concepts like deployments, services, replica sets and labels.
How to integrate Kubernetes in OpenStack: You need to know these projectinwin stack
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications, while OpenStack is a free and open-source software platform for cloud computing, networking, and storage. The document discusses different ways to integrate Kubernetes and OpenStack, including using Zun to provide an OpenStack API for launching and managing containers, Magnum to offer container orchestration engines for deploying and managing containers, Kolla and Kolla Kubernetes to deploy OpenStack on Kubernetes, Kuryr Kubernetes to bridge networking models between containers and OpenStack, and Stackube which uses Kubernetes as the compute fabric controller instead of Nova.
I am glad to share the presentation of the Kubernetes Pune meetup organized on 29 July 2017. One of the good response from the Pune folks to the community.
Recreating "The Clock" with Machine Learning and Web ScrapingKP Kaiser
This document discusses machine learning development lifecycles and tools. It notes that ML development differs from traditional development due to large datasets and computational needs. Training models can be very expensive requiring GPUs, TPUs, and significant computing resources. Kubernetes has become popular for deploying ML workloads but adds complexity with additional components required for networking, load balancing, and managing state. The document recommends starting simply by running Kubernetes locally before exploring more advanced ML tools that integrate with Kubernetes like Kubeflow, TensorRT inference server, and Pachyderm for data versioning. It stresses the importance of observability tools like metrics, logs, and traces for understanding errors in complex distributed ML systems.
DevOps Spain 2019. David Cañadillas -CloudbeesatSistemas
This document discusses using Jenkins X to automate CI/CD pipelines on Kubernetes. It begins by introducing Jenkins X and its capabilities for CI/CD automation on Kubernetes using custom resource definitions. It then discusses how Jenkins X embraces a GitOps model using Git as the source of truth for promoting applications through environments. Finally, it invites the reader to a CloudBees event to learn more about building a continuous software delivery system with Jenkins X.
What is Digital Rebar Provision (and how RackN extends)?rhirschfeld
Walks through how Digital Rebar Provision rethinks bare metal automation beyond simple O/S install into an integrated workflow system for building data center underlay.
INCLUDES VIDEO OF PRESO
Short presentation about how RackN is creating bare metal data center automation for enterprise and edge infrastructure at the most basic level.
Includes a video of Rob giving the presentation
This document discusses zero-configuration provisioning of Kubernetes clusters on unmanaged infrastructure. It describes using immutable bootstrapping to provision operating systems and install Docker and Kubernetes (using Kubeadm) across nodes without requiring centralized orchestration or SSH access. The document also discusses potential future directions for the Kubernetes community regarding node admission controls and dynamic Kubelet configuration to further reduce external configuration requirements during cluster provisioning.
Preview of my Immutable Infrastructure presentation. Talks about what it is and why immutable is important. Also covers options on creating immutable deployments.
Open Patterns for Day 2 Ops [Gluecon 2017]rhirschfeld
Short presentation talking about how to create shared open best practices for upgrades and ongoing operations. Includes a demo of four upgrade patterns.
This document provides a diagram of the Kubernetes architecture. It shows that Kubernetes is made up of a control plane consisting of components like etcd, API server, and scheduler that run on master nodes. It also shows that Kubernetes manages pods running on worker nodes through kubelets and container managers. The diagram further illustrates add-ons like DNS, monitoring, and networking that are commonly used with Kubernetes.
The developer rebellion against infrastructurerhirschfeld
My DevOpsDays 2017 Lightening Talk covering why developers don't want to do operations work and are making platforms so they don't have to do it anymore
IBM Interconnect: Think you can Out Innovate Open Sourcerhirschfeld
Joint Presentation with Rob Hirschfeld and Chris Ferris at IBM Interconnect. We cover what makes open source projects succeed and struggle based on our experience with numerous projects. [video pending]
Containers, orchestration and security, oh my!rhirschfeld
This document provides an overview of containers, orchestration, and security as it relates to deploying container applications in production using Kubernetes. It discusses what Kubernetes is and its key design elements. It then outlines the reference layers needed for Kubernetes cluster operations including prerequisites, control services, worker nodes, cluster add-ons, and user applications. Finally, it discusses some of the challenges of operating Kubernetes in production including networking complexity, ensuring high availability, and integrating security.
My Gluecon presentation about hybrid infrastructure and container orchestration deployment. I talk about why composability matters and how AWS sets the standard.
OpenStack Preso: DevOps on Hybrid Infrastructurerhirschfeld
Discusses the approach for making hybrid DevOps workable including what obstacles must be overcome. Includes demo of multiple OpenStack clouds & Kubernetes deploy on AWS, Google and OpenStack
Hybrid is normal! Be more like AWS! Decompose DevOps tasks!
Short presentation addressing the challenges of building and operating hybrid infrastructure.
Narration! https://www.youtube.com/watch?v=uorHrvMgwc0
This document lists DefCore Co-Chairs Rob Hirschfeld and Egle Sigler. It then lists several OpenStack APIs under categories like Required, Advisory, Deprecated, Removed, and their status. Key APIs listed include Compute, Object, Auth-token, Compute-servers-metadata from projects like nova and keystone.
The document discusses how a "layer cake" approach to operations and architecture is flawed and advocates for a more functional programming approach. Some key points:
- A layer cake assumes clean boundaries and dependencies between services that don't reflect reality, where dependencies exist between layers and connectivity/proximity matter.
- Taking a functional programming approach treats operations as mathematical functions with defined inputs/outputs and no side effects, allowing operations to be decomposed, automated generically, and scaled dynamically.
- Examples given include defining database configuration and node setup as independent functions that can work for different database/vendor types rather than being tied to specific layers/abstractions.
- Embracing functional and orchestration approaches helps make
The document discusses the DefCore process, which defines the minimum standards required for products to be labeled "OpenStack". It aims to drive interoperability through common validation testing and implementation of core code sections. The process balances community and vendor input, with the community writing tests and vendors performing self-testing. It will approve guidelines every few months delineating required capabilities validated by tests as well as designated core code sections. It seeks community review of the 2015A guidelines before they are approved by the OpenStack Board to govern what functionality and code is required for OpenStack products and platforms.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
2. And reducing installer sprawl… making community approachs repeatable
AWS Google On-Prem Co-Location
Enabling Community Best Practices
Digital Rebar™ abstracts infrastructure
Uses Standard Tools:
Ansible, Chef, Puppet
KubernetesKubernetesKubernetesKubernetes Kubernetes
Community Ansible: Kargo
3. “Bare Metal”
Mesos
Kubernetes
Physical Infrastructures
Abtraction Points Isolate Operations allowing Mix-And-Match tools
Reuse Where Possible and Different As Needed
Digital Rebar Composable Workflow
WorkloadCloud, Physical & Network
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