Deploying kubernetes at scale on OpenStackVictor Palma
Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications across clusters of hosts, providing container-centric infrastructure. When deploying Kubernetes at scale on OpenStack, key considerations include storage and networking options, upgrading strategies, and services to provide for monitoring, logging, and security. Rackspace offers a fully managed Kubernetes service on OpenStack that handles operations, upgrades, and integrates with other OpenStack services for security and quotas.
Kubernetes - A Short Ride Throught the project and its ecosystemMaciej Kwiek
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups related containers together and manages the deployment of these container pods across clusters of physical or virtual machines. Kubernetes has master components that control the cluster and node components that run on each machine in the cluster. It uses pods as the basic building block and schedules the pods across nodes to provide high availability and easy management of applications.
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.
Slides from the talk given to the Startup Berlin Slack Group that demonstrates how TruckIN is implementing its continuous delivery workflow using technologies and open-source tools.
Topics that are covered: Automated Cloud Provisioning (Network, Subnets, VMs, Kubernetes Cluster, Firewall, Disks, Credentials, Private Docker Registry); Configuration Management (Salt Stack), Continuous Integration (Jenkins CI), Continuous Delivery/Deployment (Salt API/Reactor + Kubernetes) to a Google Cloud Kubernetes Cluster, Remote Application Debugging, Managing Google Cloud Kubernetes Cluster, Logging, Monitoring and ChatOps (Slack and operable.io)
A Million ways of Deploying a Kubernetes ClusterJimmy Lu
Developers and operators tend to build and develop different ways to set up a Kubernetes cluster due to its complexity and openness. Most of the time, it's quite confusing for the newcomers to get started with the Kubernetes. In this short talk, I'll introduce you some popular ways of Kubernetes deployment and briefly talk about pros and cons of each solution.
We are on the cusp of a new era of application development software: instead of bolting on operations as an after-thought to the software development process, Kubernetes promises to bring development and operations together by design.
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 implementing multi-cloud deployments using Kubernetes. It outlines two reference architectures for Kubernetes multi-cloud - a monolithic approach with a single load balancer and a decoupled hierarchical approach. The core challenges of location affinity, cross-cluster service discovery, scheduling and migration are also covered. WSO2 Private PaaS is presented as a solution that addresses these challenges through network partitioning, a composite application model and runtime topology definitions. A comparison of features between Kubernetes and WSO2 Private PaaS is provided. The document concludes with WSO2's vision to contribute to Kubernetes and potentially use it as the foundation for their PaaS and microservices platform going forward.
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
OSDC 2018 | Introduction to SaltStack in the Modern Data Center by Mike PlaceNETWAYS
Modern-day data centers face an enormous amount of complexity, from managing and deploying distributed applications to monitoring and controlling changes in networking hardware, engineers face an unprecedented set of challenges in trying to tame the chaos.
In this talk, Mike Place from SaltStack will cover how to use Salt to automate and control all the elements of a modern data center, from the physical hardware to the application packaging and deployment. He’ll also show how automation frameworks can merge with monitoring systems to create event-driven infrastructure patterns that can achieve maximum observability and quick remediation to every type of deployment.
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.
** 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
This is an Introductory presentation about Docker and Openstack, where they come together. This also give details about community projects in this area (Docker + Openstack) and more details about Nova-Docker. It assumes background of both Dockers and Openstack in general.
OSDC 2018 | Self Hosted bare Metal Kubernetes for SMEs by Thomas HoppeNETWAYS
1. The document discusses setting up a self-hosted bare metal Kubernetes cluster for small and medium enterprises (SMEs). It describes using CoreOS and Matchbox for provisioning nodes, and installing Kubernetes from scratch.
2. The architecture includes 4 server nodes with SSD and HDD storage located in a colocated data center. Networking uses VLANs, interface bonding, Flannel, and KubeDNS.
3. Monitoring and updates can be challenging with Kubernetes. The document recommends Prometheus for monitoring and discusses strategies for updating CoreOS, Kubernetes, and application versions.
The Paris OpenStack Summit had over 5000 attendees from 876 companies representing 62 countries. Major themes included the growing community with new platinum members like Intel and SAP, increased interest in Docker and NFV, and Ceph emerging as a unified storage solution. Projects are focusing on usability, debugability, and scalability through efforts like refactoring Nova scheduler and Horizon, and enhancing HEAT.
How to Integrate Kubernetes in OpenStack Meng-Ze Lee
The document discusses various open source projects for integrating Kubernetes and containers into OpenStack including:
- Kolla provides production-ready containers and deployment tools for operating OpenStack clouds using Kubernetes in a scalable and reliable way.
- Magnum allows deploying and managing container orchestration engines like Docker Swarm, Mesos and Kubernetes on OpenStack.
- Zun is an OpenStack service for managing containers on OpenStack using projects like Docker and Kuryr.
- Kuryr-Kubernetes provides networking between Kubernetes and OpenStack Neutron.
Enabling ceph-mgr to control Ceph services via Kubernetesmountpoint.io
The document discusses enabling Ceph management services through Kubernetes using Rook and Ceph-mgr. Rook allows deploying Ceph in a containerized way on Kubernetes for simplified management. Ceph-mgr allows controlling Ceph services and integrating with Kubernetes through Rook. This provides multiple ways to consume Ceph based on needs, from simple storage with Rook to full control with Ceph tools. Upcoming improvements will reduce management complexity through automation.
Presentation delivered at LinuxCon China 2017.
Zephyr is an upstream open source project for places where Linux is too big to fit. This talk will overview the progress we've made in the first year towards the projects goals around incorporating best of breed technologies into the code base, and building up the community to support multiple architectures and development environments. We will share our roadmap, plans and the challenges ahead of the us and give an overview of the major technical challenges we want to tackle in 2017.
This document summarizes a presentation about Spinnaker on Kubernetes. It introduces Spinnaker as an open source multi-cloud continuous delivery platform initially developed by Netflix. It describes how Spinnaker can be used to manage Kubernetes clusters and deployments through concepts like accounts, server groups, load balancers and pipelines. The document also compares Spinnaker to alternatives like Jenkins and discusses best practices for productionizing Spinnaker on Kubernetes.
OpenStack in an Ever Expanding World of Possibilities - Vancouver 2015 SummitLew Tucker
Over the past several years we have seen the continued adoption of OpenStack and it’s expansion into new areas: from cloud service providers, enterprise private clouds to large media companies, telecommunication giants, and big science. At the same time, open source based platforms for network functions virtualization (NFV) are fueling a movement toward cloud computing in almost all major telco’s.
In the developer world, open source projects, such as Docker, Mesos, Kubernetes, and Spark are gaining a lot of attention and being integrated into OpenStack through projects Kolla and Magnum.
This session will cover how these projects and activities relate to each other and further expand the utility and adoption OpenStack.
This document discusses boosting compute performance for virtual machines (VMs) in an OpenStack cloud. It covers VM placement in OpenStack, which impacts both VM performance and efficient resource usage. Specifically, it focuses on NUMA-aware scheduling and CPU pinning to improve performance for high-performance workloads. A demo is provided of reserving dedicated CPU cores for host processes and VMs in OpenStack Kilo to enable these techniques. Benchmark results show performance improvements for VMs using these methods.
Presentation give at the Melbourne Docker Meetup on container related projects within OpenStack. Specifically looking at Project Magnum and Project Kolla and how they are leveraging technologies like Docker, Kubernetes and Atomic.
Kata Containers provides container virtualization using lightweight virtual machines to gain the security of virtual machines while maintaining the speed of containers. It uses hypervisor-based isolation to make each container as secure as a virtual machine while integrating seamlessly with container ecosystems. Kata Containers has an open source architecture that supports multiple hypervisors and platforms.
OpenStack: Changing the Face of Service DeliveryMirantis
Keynote by Lew Tucker, VP and CTO of Cloud Computing at Cisco, at OpenStack Silicon Valley 2015.
As more companies move to software-driven infrastructures, OpenStack opens up new possibilities for traditional network service providers, media production, and content providers. Micro-services, and carrier-grade service delivery become the new watchwords for those companies looking to disrupt traditional players with virtualized services running on OpenStack.
Arkena's video-on-demand platform is used as backend by major european channels (TF1 / beIN SPORTS / Elisa) to propose a non-linear experience to their customers.
Previously hosted on Heroku, the number of our users is increasing constantly. In order to optimize resources we decided to move on a bare metal infrastructure powered by Kubernetes.
We'll share thoughts, feedbacks and technical details about this successful transition.
Sched Link:
Docker & aPaaS: Enterprise Innovation and Trends for 2015WaveMaker, Inc.
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
Develop and deploy Kubernetes applications with Docker - IBM Index 2018Patrick Chanezon
Docker Desktop and Enterprise Edition now both include Kubernetes as an optional orchestration component. This talk will explain how to use Docker Desktop (Mac or Windows) to develop and debug a cloud native application, then how Docker Enterprise Edition helps you deploy it to Kubernetes in production.
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
OSDC 2018 | Introduction to SaltStack in the Modern Data Center by Mike PlaceNETWAYS
Modern-day data centers face an enormous amount of complexity, from managing and deploying distributed applications to monitoring and controlling changes in networking hardware, engineers face an unprecedented set of challenges in trying to tame the chaos.
In this talk, Mike Place from SaltStack will cover how to use Salt to automate and control all the elements of a modern data center, from the physical hardware to the application packaging and deployment. He’ll also show how automation frameworks can merge with monitoring systems to create event-driven infrastructure patterns that can achieve maximum observability and quick remediation to every type of deployment.
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.
** 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
This is an Introductory presentation about Docker and Openstack, where they come together. This also give details about community projects in this area (Docker + Openstack) and more details about Nova-Docker. It assumes background of both Dockers and Openstack in general.
OSDC 2018 | Self Hosted bare Metal Kubernetes for SMEs by Thomas HoppeNETWAYS
1. The document discusses setting up a self-hosted bare metal Kubernetes cluster for small and medium enterprises (SMEs). It describes using CoreOS and Matchbox for provisioning nodes, and installing Kubernetes from scratch.
2. The architecture includes 4 server nodes with SSD and HDD storage located in a colocated data center. Networking uses VLANs, interface bonding, Flannel, and KubeDNS.
3. Monitoring and updates can be challenging with Kubernetes. The document recommends Prometheus for monitoring and discusses strategies for updating CoreOS, Kubernetes, and application versions.
The Paris OpenStack Summit had over 5000 attendees from 876 companies representing 62 countries. Major themes included the growing community with new platinum members like Intel and SAP, increased interest in Docker and NFV, and Ceph emerging as a unified storage solution. Projects are focusing on usability, debugability, and scalability through efforts like refactoring Nova scheduler and Horizon, and enhancing HEAT.
How to Integrate Kubernetes in OpenStack Meng-Ze Lee
The document discusses various open source projects for integrating Kubernetes and containers into OpenStack including:
- Kolla provides production-ready containers and deployment tools for operating OpenStack clouds using Kubernetes in a scalable and reliable way.
- Magnum allows deploying and managing container orchestration engines like Docker Swarm, Mesos and Kubernetes on OpenStack.
- Zun is an OpenStack service for managing containers on OpenStack using projects like Docker and Kuryr.
- Kuryr-Kubernetes provides networking between Kubernetes and OpenStack Neutron.
Enabling ceph-mgr to control Ceph services via Kubernetesmountpoint.io
The document discusses enabling Ceph management services through Kubernetes using Rook and Ceph-mgr. Rook allows deploying Ceph in a containerized way on Kubernetes for simplified management. Ceph-mgr allows controlling Ceph services and integrating with Kubernetes through Rook. This provides multiple ways to consume Ceph based on needs, from simple storage with Rook to full control with Ceph tools. Upcoming improvements will reduce management complexity through automation.
Presentation delivered at LinuxCon China 2017.
Zephyr is an upstream open source project for places where Linux is too big to fit. This talk will overview the progress we've made in the first year towards the projects goals around incorporating best of breed technologies into the code base, and building up the community to support multiple architectures and development environments. We will share our roadmap, plans and the challenges ahead of the us and give an overview of the major technical challenges we want to tackle in 2017.
This document summarizes a presentation about Spinnaker on Kubernetes. It introduces Spinnaker as an open source multi-cloud continuous delivery platform initially developed by Netflix. It describes how Spinnaker can be used to manage Kubernetes clusters and deployments through concepts like accounts, server groups, load balancers and pipelines. The document also compares Spinnaker to alternatives like Jenkins and discusses best practices for productionizing Spinnaker on Kubernetes.
OpenStack in an Ever Expanding World of Possibilities - Vancouver 2015 SummitLew Tucker
Over the past several years we have seen the continued adoption of OpenStack and it’s expansion into new areas: from cloud service providers, enterprise private clouds to large media companies, telecommunication giants, and big science. At the same time, open source based platforms for network functions virtualization (NFV) are fueling a movement toward cloud computing in almost all major telco’s.
In the developer world, open source projects, such as Docker, Mesos, Kubernetes, and Spark are gaining a lot of attention and being integrated into OpenStack through projects Kolla and Magnum.
This session will cover how these projects and activities relate to each other and further expand the utility and adoption OpenStack.
This document discusses boosting compute performance for virtual machines (VMs) in an OpenStack cloud. It covers VM placement in OpenStack, which impacts both VM performance and efficient resource usage. Specifically, it focuses on NUMA-aware scheduling and CPU pinning to improve performance for high-performance workloads. A demo is provided of reserving dedicated CPU cores for host processes and VMs in OpenStack Kilo to enable these techniques. Benchmark results show performance improvements for VMs using these methods.
Presentation give at the Melbourne Docker Meetup on container related projects within OpenStack. Specifically looking at Project Magnum and Project Kolla and how they are leveraging technologies like Docker, Kubernetes and Atomic.
Kata Containers provides container virtualization using lightweight virtual machines to gain the security of virtual machines while maintaining the speed of containers. It uses hypervisor-based isolation to make each container as secure as a virtual machine while integrating seamlessly with container ecosystems. Kata Containers has an open source architecture that supports multiple hypervisors and platforms.
OpenStack: Changing the Face of Service DeliveryMirantis
Keynote by Lew Tucker, VP and CTO of Cloud Computing at Cisco, at OpenStack Silicon Valley 2015.
As more companies move to software-driven infrastructures, OpenStack opens up new possibilities for traditional network service providers, media production, and content providers. Micro-services, and carrier-grade service delivery become the new watchwords for those companies looking to disrupt traditional players with virtualized services running on OpenStack.
Arkena's video-on-demand platform is used as backend by major european channels (TF1 / beIN SPORTS / Elisa) to propose a non-linear experience to their customers.
Previously hosted on Heroku, the number of our users is increasing constantly. In order to optimize resources we decided to move on a bare metal infrastructure powered by Kubernetes.
We'll share thoughts, feedbacks and technical details about this successful transition.
Sched Link:
Docker & aPaaS: Enterprise Innovation and Trends for 2015WaveMaker, Inc.
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
Develop and deploy Kubernetes applications with Docker - IBM Index 2018Patrick Chanezon
Docker Desktop and Enterprise Edition now both include Kubernetes as an optional orchestration component. This talk will explain how to use Docker Desktop (Mac or Windows) to develop and debug a cloud native application, then how Docker Enterprise Edition helps you deploy it to Kubernetes in production.
Persistent Storage for stateful applications on Kubernetes made easy with Ope...MayaData Inc
In this webinar, Director of Community of Rancher Labs Jason van Brackel joins forces with Sr. Developer Advocate Patrick Hoolboom from MayaData to talk about benefits of OpenEBS and Rancher as a combined solution.
Rancher's multi-cluster Kubernetes management solution allows development teams to iterate fast, deploy efficiently and operate at scale. Kubernetes allows you to orchestrate containers that are highly available. However, in the case of container reschedule, Kubernetes does not provide a great set of primitives to manage your persistent data along with your application containers. In this webinar, we will present some of the challenges associated with managing persistent data in Kubernetes and how we can make day 2 operations easier to manage. We will briefly introduce the combined offering and talk about a couple of approaches to solving data persistence problems in multi-cloud environments with Rancher and OpenEBS. During the demos, we will showcase how we address data availability with OpenEBS.
We will also talk about project updates in the latest releases and preview of upcoming Kubecon announcements.
Modern big data and machine learning in the era of cloud, docker and kubernetesSlim Baltagi
There is a major shift in web and mobile application architecture from the ‘old-school’ one to a modern ‘micro-services’ architecture based on containers. Kubernetes has been quite successful in managing those containers and running them in distributed computing environments.
Now enabling Big Data and Machine Learning on Kubernetes will allow IT organizations to standardize on the same Kubernetes infrastructure. This will propel adoption and reduce costs.
Kubeflow is an open source framework dedicated to making it easy to use the machine learning tool of your choice and deploy your ML applications at scale on Kubernetes. Kubeflow is becoming an industry standard as well!
Both Kubernetes and Kubeflow will enable IT organizations to focus more effort on applications rather than infrastructure.
Devops automation using Docker, Kubernetes and OpenshiftJonathan Tse
This document discusses using DevOps automation with Docker containers, Kubernetes, and OpenShift. It describes how adopting a container strategy with these tools allows applications to be easily shared and deployed. It provides an overview of containers, Kubernetes for automating container operations, and OpenShift for building, distributing, and running containers at scale. Examples are given of how customers have benefited from these approaches.
How to build "AutoScale and AutoHeal" systems using DevOps practices by using modern technologies.
A complete build pipeline and the process of architecting a nearly unbreakable system were part of the presentation.
These slides were presented at 2018 DevOps conference in Singapore. http://claridenglobal.com/conference/devops-sg-2018/
Cloud Deployment of Data Harmony
Jeffrey Gordon, Lead Developer, Access Innovations, Inc.
Jeffrey will describe the cloud deployment of the Data Harmony software.
The document summarizes the key features and benefits of Docker Enterprise Edition 2.0. It highlights that Docker EE provides choice, agility, and security by offering support for both Linux and Windows, hybrid and multi-cloud deployments, traditional and microservices applications, and both Docker Swarm and Kubernetes orchestration. It provides flexibility through options for container networking, application deployment using Compose or Kubernetes YAML files, and leveraging all of Kubernetes' features while allowing the CNI plugin to be swapped. This allows organizations to standardize on Docker EE while maintaining flexibility.
VMworld 2015: Build and Run Cloud Native Apps in your Software Defined Data C...VMworld
The document provides an overview of VMware's cloud-native application stack and technologies. It discusses how VMware AppCatalyst, vSphere Integrated Containers, Pivotal Cloud Foundry, and the new Photon Platform help developers build and run cloud-native applications on VMware infrastructure. The Photon Platform is a container management platform optimized for scale that includes the Photon Controller and Photon Machine components.
The document discusses the shift towards cloud native application development. Some key points discussed include:
1. Cloud native originated in customer-facing tech companies and emphasizes building applications in, for, and maximizing the benefits of the cloud.
2. When developing new applications, organizations should focus on functional and non-functional requirements to determine the appropriate architecture, runtime environment, and degree of "cloudiness".
3. Cloud native development requires learning new topics like microservices, DevOps, serverless computing, and distributed systems.
Docker EE 2.0 provides choice, security, and agility for container deployments. It offers more than just containers and orchestration, including lifecycle management, governance, and security features. Docker EE can deploy applications on Linux and Windows across on-premises and cloud infrastructure. It supports both Docker Swarm and Kubernetes orchestrators. Security features include image scanning, role-based access control, and audit logging to secure the software supply chain. Docker EE aims to provide a unified platform for both traditional and microservices applications.
Oscon 2017: Build your own container-based system with the Moby projectPatrick Chanezon
Build your own container-based system
with the Moby project
Docker Community Edition—an open source product that lets you build, ship, and run containers—is an assembly of modular components built from an upstream open source project called Moby. Moby provides a “Lego set” of dozens of components, the framework for assembling them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
Patrick Chanezon and Mindy Preston explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud, or bare-metal scenarios. Patrick and Mindy explore Moby’s framework, components, and tooling, focusing on two components: LinuxKit, a toolkit to build container-based Linux subsystems that are secure, lean, and portable, and InfraKit, a toolkit for creating and managing declarative, self-healing infrastructure. Along the way, they demo how to use Moby, LinuxKit, InfraKit, and other components to quickly assemble full-blown container-based systems for several use cases and deploy them on various infrastructures.
This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
Live Introduction to the Cloud Native Microservices Platform – open, manageab...Lucas Jellema
The microservices architecture promises flexibility, scalability and optimal use of compute resources. Through independent components with well-defined scope and responsibility, interface and ownership that are evolved and managed in an automated DevOps process, this architecture leverages current technologies and lessons learned. The Oracle Microservices Platform is an open source runtime for deploying, running and managing container based microservices. This platform offers a distributed container runtime based on Kubernetes and on top of that API management, a build in event bus, a service broker to link in external services, advanced inter microservice traffic control and load balancing and extensive monitoring. It supports the pure pay-per-use and scale-on-request serverless paradigm. The platform can run anywhere: your laptop our data center, a third party cloud or as an Oracle managed cloud service. This session introduces this Microservices Platform and demonstrates how it is used to roll out and manage a set of collaborative microservices, both locally and in the cloud.
Kubernetes has become the defacto standard platform for managing containerized microservices. However, with just Kubernetes this platform is not yet complete. We also need facilities for managing traffic between microservices - monitor, route, authorize - as well as handle events. We need to support the Serverless architecture style - with triggered functions instead of pre-allocated servers. And we need a governance strategy around new versions of functions and microservices.
Oracle will launch an open (source) microservices platform with all these capabilities preintegrated. This platform is based on Kubernetes and also leverages Kafka, Project Fn, OpenServiceBroker and Istio along with monitoring using Prometheus, Grafana and Kibana. The platform can be run locally or on any IaaS platform. Oracle hopes to make money from a managed cloud service for this platform.
In this session, I want to explore the need for a microservices platform and the essential components it should provide. I will then demonstrate this open microservices platform proposed by Oracle.
Leveraging the unique benefits of the cloud requires a specialized approach to application architecture. The right design enables business agility, massive scaling, ability to burst, and high resiliency. Plus, it promotes resource efficiency and can minimize costs. If you are involved in providing applications or services in the cloud, attend this session to learn the principles of cloud-aware application design and to explore emerging architectural patterns which maximize cloud advantages.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Learn the Basics of Agile Development: Your Step-by-Step GuideMarcel David
New to Agile? This step-by-step guide is your perfect starting point. "Learn the Basics of Agile Development" simplifies complex concepts, providing you with a clear understanding of how Agile can improve software development and project management. Discover the benefits of iterative work, team collaboration, and flexible planning.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
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Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
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2. TONIGHT’S AGENDA
OpenStack + KUBERNETES?
What OpenStack components
are used to deploy kubernetes?
How do I deploy kubernetes on
OpenStack?
Application Deployment Patterns
on kubernetes
4. NOT BORN IN THE CLOUD!
• UI Layer
• Business Logic Tier
Data
Access Tier
Integration
Tier
MainframeRDMS
DB(s)
• Monolithic Apps
• Dependent on Heavy, stagnant tech
• Configuration is embedded and static
• Requires specific infrastructure and configuration
• Inability to decompose deployments
• Lack of portability
6. Definitions Examples
6
CLOUD NATIVE APPLICATIONS
• Cloud Native
▸ An approach to building
and running applications
that take advantages of the
cloud computing model.
• 12 Factor App
9. 9
• In July 2010, Rackspace Hosting and NASA jointly launched an open-source cloud-software initiative
known as OpenStack. The OpenStack project intended to help organizations offer cloud-computing
services running on standard hardware. The community's first official release, code-named Austin,
appeared three months later on October 21, 2010, with plans to release regular updates of the software
every few months. The early code came from NASA's Nebula platform as well as from Rackspace’s
Cloud Files Platform.
• As of today it’s managed by the OpenStack Foundation, a non-profit corporate entity established in
September 2012 to promote OpenStack software and it’s community. More than 500 companies have
joined the project.
BRIEF OPENSTACK HISTORY
13. CONTAINERS SIMPLIFY IT
• All required runtime components packaged
together into a “container”
• Eliminates the need for hypervisor & guest OS
• Increases portability across environments
• Reduces resource consumption by applications
• Provision applications nearly instantly
14. BENEFITS TO ENTERPRISE IT
INCREASE
DEVELOPER
PRODUCTIVITY
INCREASE
TOPLINE
REVENUE
REDUCE DATA
CENTER COSTS
15. “GETTING” CONTAINERS IS ONLY
HALF THE CHALLENGE
ORGANIZATIONS
STILL NEED TO
MANAGE THEM, JUST
AS THEY WOULD
MANAGE VMS
16. EXTERNAL RESEARCH
VALIDATES PAIN
POINTS
Container Scale
and Management
Top Container
Challenges
Source; https://www.cloudfoundry.org/wp-content/uploads/2016/06/Cloud-Foundry-2016-Container-Report.pdf n=374
82% of container users surveyed
agreed getting to scale can be
a challenge
84% of container users surveyed
agreed that managing without a
Provider would be a challenge.
18. Web Search Interest
KUBERNETES IS THE CLEAR LEADER
Source: Apprenda, Containers Orchestration Comparison Guide (PDF)
• Generates more web search
interest than Swarm, Mesos and
Cloud Foundry combined
• One of the top Github projects
• More software vendors incorporate
Kubernetes than any other COE
• More professionals list Kubernetes
on their LinkedIn profiles than any
other comparable solution
19. WHY KUBERNETES?
• Kubernetes is the market choice for container orchestration
• No lock-in with Kubernetes
• Best-in-class application lifecycle management
§ Blue/green deployments
§ Zero downtime application upgrades
§ A/B deployments and more
• Google and Redhat, and others are focused on standards such
as OCI, CNF (cloud native foundation)
• Kubernetes manages things such as:
‣ Rolling upgrades
‣ Zero Downtime deployment
‣ Large scale management of complex workloads
‣ Highly available and fault tolerant by default
24. The Hard way
MANUAL INSTALLATION
24
• Pros
‣ Optimized for learning
‣ Understand how things work
• Cons
‣ Manual
‣ Not meant for production
‣ Hard to maintain
25. Pros Cons
via Ansible https://github.com/kubernetes/contrib/tree/master/ansible
25
ORCHESTRATION
• Automated
• Easy to install
• Easy to Modify
• Common Configuration
Management
• Limited by what’s
available
26. PROS CONS
26
MAGNUM
• AUTOMATIC SETUP OF
K8’S CLUSTERS
• YOU CAN EASILY GROW
OR SHRINK THE CLOUD
• EASY TO TEST AND PLAY
WITH KUBERNETES
• OPENSTACK SPECIFIC
29. KUBERNETES
HISTORY
• Borg, Omega and the Origin
of Kubernetes
• The name Kubernetes
originates from Greek,
meaning "helmsman" or
"pilot", and is the root of
"governor" and "cybernetic".
• K8s is an abbreviation
derived by replacing the 8
letters "ubernete" with 8.
30. WHAT IS
KUBERNETES?
• Kubernetes is an open-source platform
for automating deployment, scaling,
and operations of application
containers across clusters of hosts,
providing container-centric
infrastructure.
• portable: public, private, hybrid, multi-
cloud
• extensible: modular, pluggable,
hookable, compassable
• self-healing: auto-placement, auto-
restart, auto- replication, auto-scaling
35. PODS
• Group of one or more containers that
are always co-located, co-scheduled,
and run in a shared context
• Containers in the same pod have the
same hostname
• Each pod is isolated by
‣ Process ID (PID) namespace
‣ Network namespace
‣ Interprocess Communication (IPC)
namespace
‣ Unix Time Sharing (UTS) namespace
• Alternative to a VM with multiple
processes
36. LABELS &
SELECTORS
• Key/value pairs associated with
Kubernetes objects
• Used to organize and select subsets of
objects
• Attached to objects at creation time but
modified at any time.
• Labels are the essential glue to
associate one API object with other
‣ Replication Controller -> Pods
‣ Service -> Pods
‣ Pods -> Nodes
37. REPLICATION
CONTROLLERS
• Ensures that a speci ed number
of pod replicas are running at
any one time.
• allows for easy scaling of
replicated systems and handles
re- creation of a pod when the
machine it is on reboots or
otherwise fails
53. Distributed Container Patterns
LEADER ELECTION
53
Application
Reusable
master
election
container
Pod - 1
JSON
API
Pod - 2 Pod - N
Consensus
algorithm
or store
@brendandburns
54. Distributed Container Patterns
WORK QUEUE
54
Work
Queue
Executor
User
Supplied
worder
JSON
API
Work
Queue
Executor
User
Supplied
worder
JSON
API
* * *
Work
Queue
Coordinator
@brendandburns
60. RACKSPACE OFFERS MANAGED
KUBERNETES FOR ENTERPRISE IT
• Application templates
• Optimized for cost efficiency
• Best-in-class compute
• Kubernetes expertise from certified cloud
specialists
• Centralized logging and monitoring
• Upgrades and patching
• Isolated multi-tenant or single tenant
• Security-hardened environments
• Full turn-key solution with 1-click deployment
• End-to-end tutorials and video training
• Native access to Kubernetes/Docker ecosystems
• Unified GUI and tooling
• Delivered via OpenStack
• Integrated networking
• User management, identity, quotas and limits
• Integrated storage
Operating Expertise Ease of Use
Management Technology Integration
Rackspace
Managed
Kubernetes
60
Fully Managed Kubernetes: Secure and highly performant with an intuitive user experience
BETA AVAILABLE NOW!