This document provides an overview of Kubernetes and how Nirmata can help enterprises manage Kubernetes clusters and workloads. It begins with basic Kubernetes concepts like pods, deployments, services, and networking. It then discusses how Nirmata provides centralized management of Kubernetes infrastructure and applications across public and private clouds through its policy engine and integration with DevOps tools. The document concludes by stating that Kubernetes enables enterprise agility when managed with solutions like Nirmata.
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 discusses Kubernetes usage at VMware SAAS. It covers dynamic provisioning of applications on Kubernetes, monitoring tools used like DataDog and Log Insight, and best practices for upgrading Kubernetes clusters. Key points include using stateless applications where possible, service discovery using Kubernetes services, dynamic provisioning using an onboarding service, and performing rolling upgrades for stateful applications to minimize downtime.
The document provides best practices for deploying SUSE CaaS Platform. It discusses requirements like hardware needs, software subscriptions required, and support options. It covers planning and sizing considerations like cluster topology and disk space needs. Deployment best practices include steps like preparing the infrastructure, installing base software, verifying the infrastructure, installing CaaS Platform, and deploying Kubernetes addons. Testing and operations topics like monitoring, logging, backups are also covered.
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.
This document outlines several OpenStack topology setups:
1. The All-in-One setup is a single node that runs all OpenStack services for development/testing.
2. The Private Cloud setup separates services across multiple controller and compute nodes.
3. The Public Cloud setup exposes OpenStack to external users through a self-service portal.
4. The Hybrid Cloud setup connects an on-premise private cloud to external public clouds.
5. The High Availability setup uses technologies like Galera, Pacemaker, and HAProxy for fault tolerance.
Openstack is an open source cloud computing platform that consists of several independent components that work together to provide infrastructure as a service capabilities. It allows users to provision compute, storage, and networking resources on demand in a self-service manner similar to public cloud providers like AWS. Some key components include Nova for compute, Glance for images, Swift for object storage, Cinder for block storage, Neutron for networking, and Keystone for identity services. Openstack can be used to build public, private, or hybrid clouds and supports a variety of use cases and workloads.
Introduction to Container Storage Interface (CSI)Idan Atias
Among the cool stuff we do at Silk, my colleagues and I develop the Silk CSI Plugin for customers who use our system as the storage layer for their Kubernetes workloads.
Before deep diving into the code and as part of my ramp-up on this subject I prepared some slides that cover some basic and important information on this topic.
These slides start by recapping some basic storage principals in containers and Kubernetes, continues with some more advanced use cases (including an "offline demo" of persisting Redis data on EBS volumes), and ends with a detailed information on the CSI solution itself.
IMHO, reviewing these slides can improve your understanding on this matter and can get you started implementing your own CSI plugin.
The main sources of information I used for preparing these slides are:
* Official CSI docs
* Kubernetes Storage Lingo 101 - Saad Ali, Google
* Container Storage Interface: Present and Future - Jie Yu, Mesosphere, Inc.
This document provides an overview of Kubernetes and how Nirmata can help enterprises manage Kubernetes clusters and workloads. It begins with basic Kubernetes concepts like pods, deployments, services, and networking. It then discusses how Nirmata provides centralized management of Kubernetes infrastructure and applications across public and private clouds through its policy engine and integration with DevOps tools. The document concludes by stating that Kubernetes enables enterprise agility when managed with solutions like Nirmata.
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 discusses Kubernetes usage at VMware SAAS. It covers dynamic provisioning of applications on Kubernetes, monitoring tools used like DataDog and Log Insight, and best practices for upgrading Kubernetes clusters. Key points include using stateless applications where possible, service discovery using Kubernetes services, dynamic provisioning using an onboarding service, and performing rolling upgrades for stateful applications to minimize downtime.
The document provides best practices for deploying SUSE CaaS Platform. It discusses requirements like hardware needs, software subscriptions required, and support options. It covers planning and sizing considerations like cluster topology and disk space needs. Deployment best practices include steps like preparing the infrastructure, installing base software, verifying the infrastructure, installing CaaS Platform, and deploying Kubernetes addons. Testing and operations topics like monitoring, logging, backups are also covered.
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.
This document outlines several OpenStack topology setups:
1. The All-in-One setup is a single node that runs all OpenStack services for development/testing.
2. The Private Cloud setup separates services across multiple controller and compute nodes.
3. The Public Cloud setup exposes OpenStack to external users through a self-service portal.
4. The Hybrid Cloud setup connects an on-premise private cloud to external public clouds.
5. The High Availability setup uses technologies like Galera, Pacemaker, and HAProxy for fault tolerance.
Openstack is an open source cloud computing platform that consists of several independent components that work together to provide infrastructure as a service capabilities. It allows users to provision compute, storage, and networking resources on demand in a self-service manner similar to public cloud providers like AWS. Some key components include Nova for compute, Glance for images, Swift for object storage, Cinder for block storage, Neutron for networking, and Keystone for identity services. Openstack can be used to build public, private, or hybrid clouds and supports a variety of use cases and workloads.
Introduction to Container Storage Interface (CSI)Idan Atias
Among the cool stuff we do at Silk, my colleagues and I develop the Silk CSI Plugin for customers who use our system as the storage layer for their Kubernetes workloads.
Before deep diving into the code and as part of my ramp-up on this subject I prepared some slides that cover some basic and important information on this topic.
These slides start by recapping some basic storage principals in containers and Kubernetes, continues with some more advanced use cases (including an "offline demo" of persisting Redis data on EBS volumes), and ends with a detailed information on the CSI solution itself.
IMHO, reviewing these slides can improve your understanding on this matter and can get you started implementing your own CSI plugin.
The main sources of information I used for preparing these slides are:
* Official CSI docs
* Kubernetes Storage Lingo 101 - Saad Ali, Google
* Container Storage Interface: Present and Future - Jie Yu, Mesosphere, Inc.
Openstack architecture for the enterprise (Openstack Ireland Meet-up)Keith Tobin
Synchronous
Replication
This document discusses OpenStack architecture for the enterprise. It describes using Crowbar to easily deploy OpenStack on Dell servers and networking equipment. Key aspects covered include using RabbitMQ clusters with mirrored queues for high availability, deploying Neutron on separate networking nodes, and using a Percona MySQL cluster to provide synchronous replication, data consistency, parallel applying and atomic node provisioning. The goal is an OpenStack architecture that is highly available, reliable, and can recover automatically from faults.
What's Next in OpenStack? A Glimpse At The RoadmapShamailXD
YouTube Recording: https://www.youtube.com/watch?v=cCdqOxD5G0M
Whether you are a newbie to OpenStack looking at building your first cloud or an experienced operator with years of OpenStack success behind you, you've probably spent some time wondering what to expect from the OpenStack project over the next several releases. Will it finally support that new capability you've been waiting for? Should you plan for an upgrade in the next 6 months? While the development community is always working and planning new features, its takes a lot of time on IRC to get a complete view across the different projects. The OpenStack Product WG spent time this cycle working with the project teams and PTLs to understand their priorities for the next several OpenStack releases. Where we have always had an understanding of what's to come in the next release, we're hoping to present a long-term view of the future landscape of OpenStack. In this session, we'll present our findings across the different projects in an effort to give users a glimpse into the OpenStack roadmap
OpenStack is an open source cloud operating system that provides on-demand provisioning of compute, storage, and networking resources. It consists of several interconnected components that are managed through a dashboard interface. The key components include Horizon (dashboard), Keystone (authentication), Swift (object storage), Glance (image repository), Nova (compute), Quantum (networking), and Cinder (block storage). Nova is responsible for running virtual machine instances by retrieving images from Glance and scheduling instances on compute hosts using the Nova scheduler. The Nova scheduler uses filters and weights to determine the most suitable host for an instance based on availability, capabilities, and load.
This document provides an update on the OpenStack Cinder Liberty release. It outlines that 19 new volume drivers were added with CI testing, 29 blueprints and 134 bug fixes were completed. New features discussed include nested quotas to manage descendant project quotas, force detach to safely detach stuck volumes, a generic image cache to speed up volume creation from images, and improved migrations. It encourages reviewing the full specifications and provides contacts for more information.
SUSE CaaSP: deploy OpenFaaS and Ethereum Blockchain on KubernetesJuan Herrera Utande
This document discusses potential use cases for Kubernetes and provides examples of deploying serverless/Function as a Service (FaaS) workloads and blockchain databases on Kubernetes. It introduces OpenFaaS as an easy way to deploy FaaS on Kubernetes and deploy a demo Ethereum blockchain on Kubernetes to illustrate how blockchain concepts map to Kubernetes components. The document encourages finding a new use case in your organization to start using Kubernetes and provides resources for learning more about deploying Kubernetes.
Building stateful applications on Kubernetes with RookRoberto Hashioka
Deploying stateful applications such a Wordpress and Jenkins on top of Kubernetes or any other container orchestrator can be a challenging task. In this context, Rook will be used to showcase how to automatically manage the volume's lifecycle through the its Kubernetes operators (operator pattern approach) by leveraging the recently added CSI GA support.
Rook is an open source project that automates the deployment and management of distributed storage systems like Ceph in cloud native environments like Kubernetes. It turns distributed storage software into self-managing, self-scaling, and self-healing storage services. Rook integrates deeply with Kubernetes to provide dynamic volume provisioning, scheduling, security, monitoring and more for storage clusters and pools. It currently supports Ceph and Kubernetes and aims to support more systems with community help.
This document discusses filesystem as a service in OpenStack. It provides an overview of OpenStack and Cinder, which allows block storage volumes to be attached to instances. Filesystem as a service would allow NAS shares to be shared across VM instances using common protocols like NFS and CIFS. This could provide benefits like shared storage and data persistence across instances or migrations. The document discusses implementing filesystem as a service either inside Cinder by adding a "cinder-shares" service, or as a separate project integrated with Cinder and OpenStack. It demonstrates a current implementation with a shares API and sharing a volume using NFS.
Meetup 12-12-2017 - Application Isolation on Kubernetesdtoledo67
Here are the slides I presented on 12-12-2017 at the Bay Area Microservices Meeting. I presented some of the best practices to achieve application isolation on Kubernetes
Storage as a Service provides scalable cloud storage through APIs that abstract the underlying implementation. OpenStack is an open source cloud platform that includes Cinder for block storage and Swift for object storage. Cinder provides persistent block storage volumes that can be attached to instances, while Swift stores scalable objects accessible through APIs.
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.
Introduction to Flocker which is a lightweight volume and container manager.
Meetup details of my presentation:
http://www.meetup.com/Docker-Bangalore/events/222476025/
Turning OpenStack Swift into a VM storage platformOpenStack_Online
Open vStorage is an open source software that transforms object storage like OpenStack Swift into block storage for virtual machines (VMs). It acts as a middleware layer between the hypervisor and object store, presenting block storage to the hypervisor while storing data in the object store as time-based containers. This allows VMs to leverage the scalability and low cost of object storage. Open vStorage provides caching to improve performance and integrates with OpenStack through the Cinder volume plugin to enable common functions like snapshots. It provides a single, scalable storage platform for both VM block storage and image/backup object storage.
Do you think that Nova, Cinder, Heat, Ceilometer, and Neutron are all references to global warming and looming apocalypse? For all those who come to the OpenStack community and wonder what all the fuss is about, this quick introduction will answer your many questions. It includes a short history of the largest Open Source project in history and will touch on
the basic OpenStack components, so you will be prepared the next time someone mentions Keystone, Nova and Swift in the same sentence.
This session was presented by Beth Cohen at the OpenStack meetup on Feb 19th, 2014 in Boston. Beth works for Verizon developing cool Cloud based products that she can't talk about without a strict NDA. She is a technical leader with over 25 years of experience architecting leading-edge system infrastructures and managing complex projects in the telecom, manufacturing, financial services, government, and technology industries. She has been involved in building some of the world's largest OpenStack architectures and has way too much fun at OpenStack Summits!
This document provides an overview of networking concepts in the "Big Three" cloud providers: AWS, Azure, and GCP. It discusses the physical and logical organization of resources, including regions, availability zones, and accounts/tenants. It also covers network substrates like VPCs, VNets, and VPC Networks, addressing, and properties of network interfaces and instances. The document aims to compare approaches across providers and provide design exercises to better understand implementation differences.
Guaranteeing Storage Performance by Mike Tutkowskibuildacloud
This session will introduce the basics of primary storage in CloudStack. Additionally, I discuss the challenges of guaranteeing storage performance in a cloud and how by leveraging the latest enhancements to CloudStack, storage administrators can deliver consistent, repeatable performance to 10s, 100s or 1,000s of application workloads in parallel. I'll review the CloudStack enhancements in detail, outline the management benefits they provide and discuss common go-to-market approaches.
About Mike Tutkowski
Mike Tutkowski, a member of the CloudStack PMC, develops software for the Apache Software Foundation's CloudStack project to help drive improvements in its storage component and to integrate SolidFire more deeply into the product.
OpenStack is an open source cloud computing platform that consists of a series of related projects that control large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. It is developed as an open source project by an international community of developers and corporate sponsors and supports both private and public cloud deployments. Major components include compute (Nova), object storage (Swift), image service (Glance), networking (Quantum), and an identity service (Keystone).
Azure meetup cloud native concepts - may 28th 2018Jim Bugwadia
This document provides an overview of cloud-native concepts and technologies like containers, microservices, and Kubernetes. It discusses how containers package applications and provide isolation using technologies like Docker. Microservices are described as a way to build applications as independent, interoperable services. Kubernetes is presented as an open-source system for automating deployment and management of containerized workloads at scale. The document outlines Kubernetes concepts like pods, deployments, services and how they help developers and operations teams manage applications in a cloud-native way.
Containers are changing the compute landscape and for NFVi support of Containers is key. Kubernetes is a well known Container Cluster Management software and this is slide deck from a talk given in Opendaylight Summit 2016. This slide gives an insight about Microservice architecture, Kuberentes and how it can be integrated with ODL. Session Video can be found at https://www.youtube.com/watch?v=a4_pkp2qiX8&list=PL8F5jrwEpGAiRCzJIyboA8Di3_TAjTT-2
Openstack architecture for the enterprise (Openstack Ireland Meet-up)Keith Tobin
Synchronous
Replication
This document discusses OpenStack architecture for the enterprise. It describes using Crowbar to easily deploy OpenStack on Dell servers and networking equipment. Key aspects covered include using RabbitMQ clusters with mirrored queues for high availability, deploying Neutron on separate networking nodes, and using a Percona MySQL cluster to provide synchronous replication, data consistency, parallel applying and atomic node provisioning. The goal is an OpenStack architecture that is highly available, reliable, and can recover automatically from faults.
What's Next in OpenStack? A Glimpse At The RoadmapShamailXD
YouTube Recording: https://www.youtube.com/watch?v=cCdqOxD5G0M
Whether you are a newbie to OpenStack looking at building your first cloud or an experienced operator with years of OpenStack success behind you, you've probably spent some time wondering what to expect from the OpenStack project over the next several releases. Will it finally support that new capability you've been waiting for? Should you plan for an upgrade in the next 6 months? While the development community is always working and planning new features, its takes a lot of time on IRC to get a complete view across the different projects. The OpenStack Product WG spent time this cycle working with the project teams and PTLs to understand their priorities for the next several OpenStack releases. Where we have always had an understanding of what's to come in the next release, we're hoping to present a long-term view of the future landscape of OpenStack. In this session, we'll present our findings across the different projects in an effort to give users a glimpse into the OpenStack roadmap
OpenStack is an open source cloud operating system that provides on-demand provisioning of compute, storage, and networking resources. It consists of several interconnected components that are managed through a dashboard interface. The key components include Horizon (dashboard), Keystone (authentication), Swift (object storage), Glance (image repository), Nova (compute), Quantum (networking), and Cinder (block storage). Nova is responsible for running virtual machine instances by retrieving images from Glance and scheduling instances on compute hosts using the Nova scheduler. The Nova scheduler uses filters and weights to determine the most suitable host for an instance based on availability, capabilities, and load.
This document provides an update on the OpenStack Cinder Liberty release. It outlines that 19 new volume drivers were added with CI testing, 29 blueprints and 134 bug fixes were completed. New features discussed include nested quotas to manage descendant project quotas, force detach to safely detach stuck volumes, a generic image cache to speed up volume creation from images, and improved migrations. It encourages reviewing the full specifications and provides contacts for more information.
SUSE CaaSP: deploy OpenFaaS and Ethereum Blockchain on KubernetesJuan Herrera Utande
This document discusses potential use cases for Kubernetes and provides examples of deploying serverless/Function as a Service (FaaS) workloads and blockchain databases on Kubernetes. It introduces OpenFaaS as an easy way to deploy FaaS on Kubernetes and deploy a demo Ethereum blockchain on Kubernetes to illustrate how blockchain concepts map to Kubernetes components. The document encourages finding a new use case in your organization to start using Kubernetes and provides resources for learning more about deploying Kubernetes.
Building stateful applications on Kubernetes with RookRoberto Hashioka
Deploying stateful applications such a Wordpress and Jenkins on top of Kubernetes or any other container orchestrator can be a challenging task. In this context, Rook will be used to showcase how to automatically manage the volume's lifecycle through the its Kubernetes operators (operator pattern approach) by leveraging the recently added CSI GA support.
Rook is an open source project that automates the deployment and management of distributed storage systems like Ceph in cloud native environments like Kubernetes. It turns distributed storage software into self-managing, self-scaling, and self-healing storage services. Rook integrates deeply with Kubernetes to provide dynamic volume provisioning, scheduling, security, monitoring and more for storage clusters and pools. It currently supports Ceph and Kubernetes and aims to support more systems with community help.
This document discusses filesystem as a service in OpenStack. It provides an overview of OpenStack and Cinder, which allows block storage volumes to be attached to instances. Filesystem as a service would allow NAS shares to be shared across VM instances using common protocols like NFS and CIFS. This could provide benefits like shared storage and data persistence across instances or migrations. The document discusses implementing filesystem as a service either inside Cinder by adding a "cinder-shares" service, or as a separate project integrated with Cinder and OpenStack. It demonstrates a current implementation with a shares API and sharing a volume using NFS.
Meetup 12-12-2017 - Application Isolation on Kubernetesdtoledo67
Here are the slides I presented on 12-12-2017 at the Bay Area Microservices Meeting. I presented some of the best practices to achieve application isolation on Kubernetes
Storage as a Service provides scalable cloud storage through APIs that abstract the underlying implementation. OpenStack is an open source cloud platform that includes Cinder for block storage and Swift for object storage. Cinder provides persistent block storage volumes that can be attached to instances, while Swift stores scalable objects accessible through APIs.
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.
Introduction to Flocker which is a lightweight volume and container manager.
Meetup details of my presentation:
http://www.meetup.com/Docker-Bangalore/events/222476025/
Turning OpenStack Swift into a VM storage platformOpenStack_Online
Open vStorage is an open source software that transforms object storage like OpenStack Swift into block storage for virtual machines (VMs). It acts as a middleware layer between the hypervisor and object store, presenting block storage to the hypervisor while storing data in the object store as time-based containers. This allows VMs to leverage the scalability and low cost of object storage. Open vStorage provides caching to improve performance and integrates with OpenStack through the Cinder volume plugin to enable common functions like snapshots. It provides a single, scalable storage platform for both VM block storage and image/backup object storage.
Do you think that Nova, Cinder, Heat, Ceilometer, and Neutron are all references to global warming and looming apocalypse? For all those who come to the OpenStack community and wonder what all the fuss is about, this quick introduction will answer your many questions. It includes a short history of the largest Open Source project in history and will touch on
the basic OpenStack components, so you will be prepared the next time someone mentions Keystone, Nova and Swift in the same sentence.
This session was presented by Beth Cohen at the OpenStack meetup on Feb 19th, 2014 in Boston. Beth works for Verizon developing cool Cloud based products that she can't talk about without a strict NDA. She is a technical leader with over 25 years of experience architecting leading-edge system infrastructures and managing complex projects in the telecom, manufacturing, financial services, government, and technology industries. She has been involved in building some of the world's largest OpenStack architectures and has way too much fun at OpenStack Summits!
This document provides an overview of networking concepts in the "Big Three" cloud providers: AWS, Azure, and GCP. It discusses the physical and logical organization of resources, including regions, availability zones, and accounts/tenants. It also covers network substrates like VPCs, VNets, and VPC Networks, addressing, and properties of network interfaces and instances. The document aims to compare approaches across providers and provide design exercises to better understand implementation differences.
Guaranteeing Storage Performance by Mike Tutkowskibuildacloud
This session will introduce the basics of primary storage in CloudStack. Additionally, I discuss the challenges of guaranteeing storage performance in a cloud and how by leveraging the latest enhancements to CloudStack, storage administrators can deliver consistent, repeatable performance to 10s, 100s or 1,000s of application workloads in parallel. I'll review the CloudStack enhancements in detail, outline the management benefits they provide and discuss common go-to-market approaches.
About Mike Tutkowski
Mike Tutkowski, a member of the CloudStack PMC, develops software for the Apache Software Foundation's CloudStack project to help drive improvements in its storage component and to integrate SolidFire more deeply into the product.
OpenStack is an open source cloud computing platform that consists of a series of related projects that control large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. It is developed as an open source project by an international community of developers and corporate sponsors and supports both private and public cloud deployments. Major components include compute (Nova), object storage (Swift), image service (Glance), networking (Quantum), and an identity service (Keystone).
Azure meetup cloud native concepts - may 28th 2018Jim Bugwadia
This document provides an overview of cloud-native concepts and technologies like containers, microservices, and Kubernetes. It discusses how containers package applications and provide isolation using technologies like Docker. Microservices are described as a way to build applications as independent, interoperable services. Kubernetes is presented as an open-source system for automating deployment and management of containerized workloads at scale. The document outlines Kubernetes concepts like pods, deployments, services and how they help developers and operations teams manage applications in a cloud-native way.
Containers are changing the compute landscape and for NFVi support of Containers is key. Kubernetes is a well known Container Cluster Management software and this is slide deck from a talk given in Opendaylight Summit 2016. This slide gives an insight about Microservice architecture, Kuberentes and how it can be integrated with ODL. Session Video can be found at https://www.youtube.com/watch?v=a4_pkp2qiX8&list=PL8F5jrwEpGAiRCzJIyboA8Di3_TAjTT-2
AWS re:Invent 2016: Netflix: Container Scheduling, Execution, and Integration...Amazon Web Services
Customers from over all over the world streamed forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes services handle load balancing, networking, and execution of containers across a cluster of nodes. It addresses challenges in managing containers at scale through features like deployment and rolling update of containers, self-healing, resource allocation and monitoring.
- Introduction to Kubernetes features
- A look at Kubernetes Networking and Service Discovery
- New features in Kubernetes 1.6
- Kubernetes Installation options
To know more about our Kubernetes expertise, visit our center of excellence at: http://www.opcito.com/kubernetes/
Cloud orchestration major tools comparisionRavi Kiran
Cloud Orchestration major tools comparison (including history, installation, market share, integration with other public cloud system for each tool) For any clarification contact kiran79@techgeek.co.in
This document provides an overview and agenda for an AWS webinar on Amazon EKS (Elastic Kubernetes Service). The key topics to be covered include: Kubernetes concepts and architecture; EKS features such as high availability, auto-scaling, and integration with IAM; networking and security with EKS; and best practices for running containers on EKS. The webinar aims to explain how EKS provides a fully managed Kubernetes service on AWS.
Secure Your Containers: What Network Admins Should Know When Moving Into Prod...Cynthia Thomas
This session offers techniques for securing Docker containers and hosts using open source network virtualization technologies to implement microsegmentation. Come learn real tips and tricks that you can apply to keep your production environment secure.
This document discusses containerization and the Docker ecosystem. It begins by describing the challenges of managing different software stacks across multiple environments. It then introduces Docker as a solution that packages applications into standardized units called containers that are portable and can run anywhere. The rest of the document covers key aspects of the Docker ecosystem like orchestration tools like Kubernetes and Docker Swarm, networking solutions like Flannel and Weave, storage solutions, and security considerations. It aims to provide an overview of the container landscape and components.
Kubernetes provides logical abstractions for deploying and managing containerized applications across a cluster. The main concepts include pods (groups of containers), controllers that ensure desired pod states are maintained, services for exposing pods, and deployments for updating replicated pods. Kubernetes allows defining pod specifications that include containers, volumes, probes, restart policies, and more. Controllers like replica sets ensure the desired number of pod replicas are running. Services provide discovery of pods through labels and load balancing. Deployments are used to declaratively define and rollout updates to replicated applications.
PlovDev 2016: Оркестрация на контейнери с Kubernetes - Мартин ВладевPlovDev Conference
This document discusses Kubernetes and container orchestration. It provides an overview of Kubernetes, including its key features like horizontal scaling, automated rollouts and rollbacks, storage orchestration, self-healing capabilities, service discovery and load balancing. The document also discusses Kubernetes concepts like pods, labels, selectors, controllers and services. It outlines Kubernetes' architecture and control loops that drive the current state towards the desired state.
This document provides an overview of Kubernetes, including its architecture, components, concepts, and configuration. It describes that Kubernetes is an open-source container orchestration system designed by Google to manage containerized applications across multiple hosts. The key components include the master nodes which run control plane components like the API server, scheduler, and controller manager, and worker nodes which run the kubelet and containers. It also explains concepts like pods, services, deployments, networking, storage, and role-based access control (RBAC).
Simplify Your Way To Expert Kubernetes ManagementDevOps.com
Kubernetes is a deep and complex technology that is evolving fast with new functionality and a growing ecosystem of cloud-native solutions. While the public cloud delivers an almost frictionless user experience, configuring and managing a production Kubernetes environment is an enormous technical challenge for the majority of enterprises that choose to do so on premises. Without the right approach, operationalizing Kubernetes in the data center can take upwards of 6 months, jeopardizing developer productivity and speed-to-market.
In this webinar, you’ll learn from Nutanix cloud native experts on how to fast-track your way to operationalizing a production-ready Kubernetes environment on-prem.
Specifically, we’ll talk about:
How containerized applications use IT resources (and why legacy infrastructure isn’t built for Kubernetes);
The main advantages of running Kubernetes on prem (as part of a multi-cloud strategy);
Key aspects of Kubernetes lifecycle management that greatly benefit from automation.
Re:invent 2016 Container Scheduling, Execution and AWS Integrationaspyker
This document summarizes a presentation about Netflix's use of containers and the Titus container management platform. It discusses:
1. Why Netflix uses containers to increase innovation velocity for tasks like media encoding and software development. Containers allow for faster iteration and simpler deployment.
2. How Titus was developed to manage containers at Netflix's scale of over 100,000 VMs and 500+ microservices, since existing solutions were not suitable. Titus integrates with AWS for resources like VPC networking and EC2 instances.
3. How Titus supports both batch jobs and long-running services, with challenges like networking, autoscaling, and upgrades that services introduce beyond batch. Collaboration with Amazon on ECS
Why Kubernetes as a container orchestrator is a right choice for running spar...DataWorks Summit
Building and deploying an analytic service on Cloud is a challenge. A bigger challenge is to maintain the service. In a world where users are gravitating towards a model where cluster instances are to be provisioned on the fly, in order for these to be used for analytics or other purposes, and then to have these cluster instances shut down when the jobs get done, the relevance of containers and container orchestration is more important than ever.
Container orchestrators like Kubernetes can be used to deploy and distribute modules quickly, easily, and reliably. The intent of this talk is to share the experience of building such a service and deploying it on a Kubernetes cluster. In this talk, we will discuss all the requirements which an enterprise grade Hadoop/Spark cluster running on containers bring in for a container orchestrator.
This talk will cover in details how Kubernetes orchestrator can be used to meet all our needs of resource management, scheduling, networking, and network isolation, volume management, etc. We will discuss how we have replaced our home grown container orchestrator with Kubernetes which used to manage the container lifecycle and manage resources in accordance to our requirements. We will also discuss the feature list as container orchestrator which is helping us deploy and patch 1000s of containers and also a list which we believe need improvement or can be enhanced in a container orchestrator.
Speaker
Rachit Arora, SSE, IBM
Overview of kubernetes and its use as a DevOps cluster management framework.
Problems with deployment via kube-up.sh and improving kubernetes on AWS via custom cloud formation template.
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.
Containers require a new approach to networking. How are your containers communicating with each other? This talk will go through the different network topologies of Kubernetes. How Kubernetes addresses networking compared to traditional physical networking concepts. What are your options for networking using Kubernetes. What is the CNI (Container Network Interface) and how it affects Kubernetes networking.
Similar to Demystifying Kubernetes for Enterprise DevOps (20)
Software supply chain attacks increased 650% in 2021. Learn why software supply chains are vulnerable, the types of attacks, and how to prevent them using OSS tools like Sigstore cosign and CNCF Kyverno!
Cloud native technologies, like containers and Kubernetes, enable enterprise agility at scale and without compromises. Learn how enterprises can warp speed their DevOps initiatives by embracing cloud native technologies, measuring DevOps success, and utilizing modern enterprise Kubernetes platforms like Nirmata!
Kubernetes is the new cloud OS, and enterprises are rapidly migrating existing applications to Kubernetes as well as creating new Kubernetes-native applications. However, Kubernetes configuration management remains complex, and due to this complexity, most implementations do not leverage Kubernetes constructs for security.
In this session you will learn:
- Key Kubernetes constructs to use for properly securing application workloads in any cloud
- How to manage Kubernetes configurations across multiple clusters and cloud providers
- How to audit and enforce enterprise-wide Kubernetes best practices
Virtual Kubernetes Clusters on Amazon EKSJim Bugwadia
From AWS Community Day 2019!
Learn how to use Kubernetes native constructs to build Virtual Clusters, so that your teams can focus on delivering business value.
Kubernetes can be complex to manage at enterprise scale! Cloud provider services like Amazon EKS solves the challenge of bringing up a Kubernetes control plane. However, production Kubernetes requires multi-layer security, access controls, load-balancing, monitoring, logging, governance, secrets management, policy management, and several other considerations. In this fast paced talk, we will cover how enterprises can address each of these areas and discuss best practices to fast track deployments.
Multi-cloud Container Management for vRealize AutomationJim Bugwadia
This document discusses multi-cloud container management with vRealize Automation. It introduces Nirmata, a solution that provides a single interface to deploy and manage containerized applications on any cloud. The solution enables self-service provisioning of container hosts and application environments directly in vRealize Automation across vSphere, AWS, and Azure. It also allows enterprises to transform to cloud-native applications without vendor lock-in or loss of visibility and control.
What does being "cloud native" mean? In this session, presented at the Austin Microservices Meetup, I explore the four levels of the ODCA Cloud Application Maturity Model and discuss how microservices and containers can help transform applications.
Containerizing Traditional ApplicationsJim Bugwadia
Can traditional applications be containerized? Does it make sense to do so? In this meetup session we tackle some of these questions, with a focus on managing stateful applications using Docker or other container technologies!
The document discusses how containers help accelerate DevOps practices for enterprises. Containers allow applications to be deployed faster and across different environments compared to virtual machines. This enables better collaboration between development and operations teams. The document then introduces Nirmata, a container management platform that provides a single control plane for managing applications across public and private clouds. It highlights how Nirmata automates the full container application lifecycle and can help reduce costs for enterprises adopting DevOps. Finally, a demo of the Nirmata platform is shown.
This presentation shows how Nirmata's multi-cloud container management solution can manage application SLAs across across AWS Spot and On-Demand instances.
Microservice are elastic and resilient by design. Application containers provide AWS Spot Instances provide market pricing on infrastructure at up to 90% cost savings. So, why not combine these trends, and using Nirmata's scheduling and application orchestration, and get DevOps agility and cost savings!
Multi-Cloud Microservices - DevOps Summit Silicon Valley 2015Jim Bugwadia
Learn about the cloud native application maturity model, and how to evolve to microservices style applications deployed in containers, across public and private clouds.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
2. 22
High-performing IT organizations
deploy 46x more frequently with 440x
shorter lead times; their failure rate is
5x lower and they recover 96x faster.
2017 State of DevOps Report by Puppet Labs
4. 4
•Founder and CEO, Nirmata
•Developing large-scale distributed
systems since the early 90’s
(Go, Java, JS, C++)
•Expertise in centralized
management for complex
distributed systems.
Jim Bugwadia
6. 6
Businesses that deliver faster, win!
Dev -> QA -> Ops
Infrastructure as Pets
Configuration
Management
Monoliths in VMs
DevOps
Infrastructure as Cattle
Immutable
images
Microservices in Containers
7. 7
•Kubernetes is an open source
container orchestration solution
originally developed by Google
now part of CNCF
•Kubernetes is designed for
microservices but can support
stateful applications
Kubernetes
(Greek for “helmsman" or "pilot")
9. 9
• Builds on Google’s 10+ years of
experience with containers
• Robust, scalable, and extensible
• Governed by the Cloud-Native
Compute Foundation (CNCF)
Why Kubernetes
13. 13
• kube-apiserver: front-end for the Kubernetes control-
plane
• etcd: datastore for the cluster
• kube-controller-manager: controllers for routine
cluster tasks
• cloud-controller-manager: controllers specific to cloud
providers
• kube-scheduler: assigns Pods to nodes
Master nodes run Kubernetes
components
15. 15
•DNS: serves DNS for Kubernetes components and
containers. Consider as required.
•Heapster: provides container resource monitoring. Is
used for Horizontal Pod Autoscaling.
•Web UI: dashboard to monitor and manage the cluster.
Common Add-ons
16. 16
• K8s networking follows these principles:
1. All containers can communicate with all other containers
without NAT
2. All nodes can communicate with all containers (and vice-
versa) without NAT
3. The IP that a container sees itself as is the same IP that others
see it as
• Each pod gets its own IP address
• CNI is the plugin model used by the Kubelet to
invoke the networking implementation
• CNI plugins: Calico, Contiv, Flannel , GCE, …
Networking
17. 17
•Pods can contain one or more Volumes
• Volume types: emptyDir, hostPath,
persistentVolumeClaim, secret, awsElasticBlockStore,
AzureDiskVolume, …
•A PersistentVolumeClaim requests a
PersistentVolume that may be dynamically
provisioned.
• Admins can configure StorageClasses for persistent
volume claims like “bronze”, “silver”, or “gold”. A
storage class has a Provisioner, like AzureDisk.
Storage
22. 22
•Basic unit of application deployment
•Contains
• One or more Containers
• One or more PVCs
•Other constructs
• nodeSelector
• affinity
• serviceAccountName
• secrets
• initContainers
Pods
Pod
Container
Secrets
Persistent
Volume Claim
23. 23
•Pods can be managed individually, but
don’t do this!
•Pods lifecycles are best managed using
one of:
• Deployments
• StatefulSets
• DaemonSets
•Less often used:
• ReplicaSets (Deployments manage ReplicaSets)
• Jobs (short-lived run-to-completion tasks)
Managing Pods
24. 24
•Deployments automatically
create (and delete) ReplicaSets
•Rollout: a new ReplicaSet is created and scaled
up. The existing ReplicaSet is scaled down.
•Rollback: only impacts the Pod template. Can
rollback to a specific revision ID.
•Rolling upgrade strategy
tunables:
• maxUnavailable
• maxSurge
Deployment
Pod
Deployment
Replica Set
25. 25
•Pods with stable identities
• names, network, storage
•Ordered creation, updates, scaling, and
deletion
• Pods are created, and named, in order from {0…N-1}
•Use for clustered apps that use client-
side identities
• ZooKeeperAddresses: “zoo-1:2181, zoo-2:2181, zoo-3:2181”
StatefulSet
26. 26
•Ensures that all Nodes run an instance
of a Pod
•Useful for monitoring & security
agents, log daemons, etc.
•A node selector can be used to target a
subset of nodes
DaemonSet
27. 27
•Service
• provides load-balancing. Addressed via IP (cluster
IP) or a DNS name.
•Network Policy
• manages routing rules across pods (east-west
traffic.)
•Ingress
• manages external routes to services (north-south
traffic.) An Ingress Controller does the load-
balancing. Ingress Resources specify the rules.
Networking your app
29. 29
• Most apps will contain one or more
services / tiers
• And each service will have:
• Deployment ReplicaSet Pod Container(s)
• Service
• Ingress
• Network Policy
• Persistent Volume Claim(s)
Modeling a Kubernetes Application
External facing services only
33. 33
1. Microservices and containers enable
enterprise DevOps best practices
2. Kubernetes provides a powerful,
scalable, and extensible platform to
run containers
3. Every enterprise should consider
building a Kubernetes strategy
Summary
34. 34
• Single management plane
across multiple clusters
• Secure and scalable
multi-cloud management
• Seamless integrations for
continuous delivery
Nirmata simplifies Kubernetes
for enterprise DevOps teams