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.
Ceph: Open Source Storage Software Optimizations on Intel® Architecture for C...Odinot Stanislas
Après la petite intro sur le stockage distribué et la description de Ceph, Jian Zhang réalise dans cette présentation quelques benchmarks intéressants : tests séquentiels, tests random et surtout comparaison des résultats avant et après optimisations. Les paramètres de configuration touchés et optimisations (Large page numbers, Omap data sur un disque séparé, ...) apportent au minimum 2x de perf en plus.
Cinder provides persistent block storage volumes to OpenStack instances. It uses a plugin driver architecture that allows integration with various backend storage systems. When a volume is created, Cinder's scheduler determines which volume node to use based on the available storage and provisions the volume. The volume can then be attached to an instance to provide additional block-level storage. It also supports advanced features like snapshots, backups, and transferring volumes between projects.
Basic and Advanced Analysis of Ceph Volume Backend Driver in Cinder - John HaanCeph Community
This document discusses basic and advanced features of using Ceph as the backend driver for Cinder block storage in OpenStack. It begins with basic concepts like Cinder volumes, snapshots, and backups using RBD copy-on-write, snapshots, and export/import diffs. More advanced topics covered include image-cached volumes to improve volume creation performance, and replication between Ceph clusters for disaster recovery using RBD mirroring. The document provides configuration details and diagrams to illustrate how data is stored and managed in Ceph for basic and advanced Cinder integration.
Using Grafana with InfluxDB 2.0 and Flux Lang by Jacob LisiInfluxData
Flux, the new InfluxData data scripting and query language (formerly IFQL), super-charges queries both for analytics and data science. Jacob Lisi from Grafana Labs will give a quick overview of the language features as well as the moving parts for a working deployment. Grafana is an open source dashboard solution that shares Flux’s passion for analytics and data science. For that reason, they are very excited to showcase the new Flux support within Grafana, and a couple of common analytics use cases to get the most out of your data.
In this InfluxDays NYC 2019 talk, Jacob Lisi will share the latest updates they have made with their Flux builder in Grafana.
How to Survive an OpenStack Cloud Meltdown with CephSean Cohen
What if you lost your datacenter completely in a catastrophe, but your users hardly noticed? Sounds like a mirage, but it’s absolutely possible.
This talk will showcase OpenStack features enabling multisite and disaster recovery functionalities. We’ll present the latest capabilities of OpenStack and Ceph for Volume and Image Replication using Ceph Block and Object as the backend storage solution, as well as look at the future developments they are driving to improve and simplify the relevant architecture use cases, such as Distributed NFV, an emerging use case that rationalizes your IT by using less control planes and allows you to spread your VNF on multiple datacenters and edge deployments.
In this session you will learn about wew OpenStack features enabling Multisite and distributed deployments, as well as review key use cases, architecture design and best practices to help operations avoid the OpenStack cloud Meltdown nightmare.
https://youtu.be/n2S7uNC_KMw
https://goo.gl/cRNGBK
BlueStore, A New Storage Backend for Ceph, One Year InSage Weil
BlueStore is a new storage backend for Ceph OSDs that consumes block devices directly, bypassing the local XFS file system that is currently used today. It's design is motivated by everything we've learned about OSD workloads and interface requirements over the last decade, and everything that has worked well and not so well when storing objects as files in local files systems like XFS, btrfs, or ext4. BlueStore has been under development for a bit more than a year now, and has reached a state where it is becoming usable in production. This talk will cover the BlueStore design, how it has evolved over the last year, and what challenges remain before it can become the new default storage backend.
Cinder provides persistent block storage for OpenStack clouds, supporting multiple storage backends with over 100 volume drivers. It manages the creation, attaching, and detaching of volumes between storage systems and servers. Key features include volume management, cloning, snapshots, migration and retyping volumes between backends, replication to other backends for disaster recovery, generic volume groups, and backup/restore of volumes and snapshots to various storage targets like Swift.
[오픈소스컨설팅] Open Stack Ceph, Neutron, HA, Multi-RegionJi-Woong Choi
OpenStack Ceph & Neutron에 대한 설명을 담고 있습니다.
1. OpenStack
2. How to create instance
3. Ceph
- Ceph
- OpenStack with Ceph
4. Neutron
- Neutron
- How neutron works
5. OpenStack HA- controller- l3 agent
6. OpenStack multi-region
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
Apache Kafka Fundamentals for Architects, Admins and Developersconfluent
This document summarizes a presentation about Apache Kafka. It introduces Apache Kafka as a modern, distributed platform for data streams made up of distributed, immutable, append-only commit logs. It describes Kafka's scalability similar to a filesystem and guarantees similar to a database, with the ability to rewind and replay data. The document discusses Kafka topics and partitions, partition leadership and replication, and provides resources for further information.
This document provides an overview of Ceph, a distributed storage system. It defines software defined storage and discusses different storage options like file, object, and block storage. It then introduces Ceph, highlighting that it provides a unified storage platform for block, object, and file storage using commodity hardware in a massively scalable, self-managing, and fault-tolerant manner. The document outlines Ceph's architecture including its components like OSDs, monitors, RADOS, RBD, RGW, and CephFS. It also discusses various access methods and use cases for Ceph like with OpenStack.
Oracle Real Application Clusters 19c- Best Practices and Internals- EMEA Tour...Sandesh Rao
In this session, I will cover under-the-hood features that power Oracle Real Application Clusters (Oracle RAC) 19c specifically around Cache Fusion and Service management. Improvements in Oracle RAC helps in integration with features such as Multitenant and Data Guard. In fact, these features benefit immensely when used with Oracle RAC. Finally we will talk about changes to the broader Oracle RAC Family of Products stack and the algorithmic changes that helps quickly detect sick/dead nodes/instances and the reconfiguration improvements to ensure that the Oracle RAC Databases continue to function without any disruption
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Brian Brazil
Prometheus is a next-generation monitoring system. Since being publicly announced last year it has seen wide-spread interest and adoption. This talk will look at the concepts behind monitoring with Prometheus, and how to use it with Kubernetes which has direct support for Prometheus.
Apache Spark on K8S and HDFS Security with Ilan FlonenkoDatabricks
This document discusses running Apache Spark jobs on Kubernetes that access data from secure HDFS clusters. It begins with an introduction to Kubernetes and running big data workloads on it. It then demonstrates running a Spark job on Kubernetes that accesses a Kerberized HDFS cluster. The document delves into details of securing HDFS access and running HDFS itself on Kubernetes. It discusses how data locality was broken when running Spark on Kubernetes originally and how it was fixed to improve performance.
My presentation on the paper: Xen and the Art of Virtualization by Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, Alex Ho, Rolf Neugebauer, Ian Pratt, Andrew Warfield. Prepared for CSCI 297 - Advanced Operating System at GWU, Spring 2010
This document discusses virtualization, containers, and hyperconvergence. It provides an overview of virtualization and its benefits including hardware abstraction and multi-tenancy. However, virtualization also has challenges like significant overhead and repetitive configuration tasks. Containers provide similar benefits with less overhead by abstracting at the operating system level. The document then discusses how hyperconvergence combines compute, storage, and networking to simplify deployment and operations. It notes that many hyperconverged solutions still face virtualization challenges. The presentation argues that combining containers and hyperconvergence can provide both the benefits of containers' efficiency and hyperconvergence's scale. Stratoscale is presented as a solution that provides containers as a service with multi-tenancy, SLA-driven performance
The document discusses potential use cases for the Freezer backup solution in OpenStack clouds. It describes how Freezer offers a modular architecture using OpenStack modules that allows for easy maintenance and support. Additionally, Freezer can enable digital transformation and provide a single solution for backing up VMs, desktops, applications and physical servers. Freezer also offers incremental encrypted backups and disaster recovery capabilities. The document provides an overview of Freezer's features and capabilities.
Kubernetes와 Kubernetes on OpenStack 환경의 비교와 그 구축방법에 대해서 알아봅니다.
1. 클라우드 동향
2. Kubernetes vs Kubernetes on OpenStack
3. Kubernetes on OpenStack 구축 방벙
4. Kubernetes on OpenStack 운영 방법
VictoriaLogs: Open Source Log Management System - PreviewVictoriaMetrics
VictoriaLogs Preview - Aliaksandr Valialkin
* Existing open source log management systems
- ELK (ElasticSearch) stack: Pros & Cons
- Grafana Loki: Pros & Cons
* What is VictoriaLogs
- Open source log management system from VictoriaMetrics
- Easy to setup and operate
- Scales vertically and horizontally
- Optimized for low resource usage (CPU, RAM, disk space)
- Accepts data from Logstash and Fluentbit in Elasticsearch format
- Accepts data from Promtail in Loki format
- Supports stream concept from Loki
- Provides easy to use yet powerful query language - LogsQL
* LogsQL Examples
- Search by time
- Full-text search
- Combining search queries
- Searching arbitrary labels
* Log Streams
- What is a log stream?
- LogsQL examples: querying log streams
- Stream labels vs log labels
* LogsQL: stats over access logs
* VictoriaLogs: CLI Integration
* VictoriaLogs Recap
This document provides an overview of OpenStack. It begins with session goals of making the audience familiar with OpenStack, its community and architecture. It then covers the history, terminology, services, architecture, installation methods and risks. Key components discussed include Nova (compute), Neutron (networking), Cinder (block storage), Swift (object storage), Glance (image repository), Keystone (identity), Horizon (dashboard) and Heat (orchestration). The document provides details on each component and the OpenStack project timeline.
The document discusses OpenStack Neutron and Software Defined Networks (SDN). It begins with an agenda for a demonstration of Neutron including creating networks, spawning VMs, testing connectivity, and creating load balancers. It then provides an overview of Neutron components and architecture, including the modular layer 2 plugin. It demonstrates Neutron APIs and network namespaces. It introduces SDN concepts like the control plane and network virtualization. Finally, it discusses how Neutron enforces SDN through plugins like PLUMgrid that implement the functionality on software edges in compute nodes.
This was a tutorial which Mark McClain and I led at ONUG, Spring 2015. It was well received and serves as a walk through of OpenStack Neutron and it's features and usage.
BlueStore, A New Storage Backend for Ceph, One Year InSage Weil
BlueStore is a new storage backend for Ceph OSDs that consumes block devices directly, bypassing the local XFS file system that is currently used today. It's design is motivated by everything we've learned about OSD workloads and interface requirements over the last decade, and everything that has worked well and not so well when storing objects as files in local files systems like XFS, btrfs, or ext4. BlueStore has been under development for a bit more than a year now, and has reached a state where it is becoming usable in production. This talk will cover the BlueStore design, how it has evolved over the last year, and what challenges remain before it can become the new default storage backend.
Cinder provides persistent block storage for OpenStack clouds, supporting multiple storage backends with over 100 volume drivers. It manages the creation, attaching, and detaching of volumes between storage systems and servers. Key features include volume management, cloning, snapshots, migration and retyping volumes between backends, replication to other backends for disaster recovery, generic volume groups, and backup/restore of volumes and snapshots to various storage targets like Swift.
[오픈소스컨설팅] Open Stack Ceph, Neutron, HA, Multi-RegionJi-Woong Choi
OpenStack Ceph & Neutron에 대한 설명을 담고 있습니다.
1. OpenStack
2. How to create instance
3. Ceph
- Ceph
- OpenStack with Ceph
4. Neutron
- Neutron
- How neutron works
5. OpenStack HA- controller- l3 agent
6. OpenStack multi-region
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
Apache Kafka Fundamentals for Architects, Admins and Developersconfluent
This document summarizes a presentation about Apache Kafka. It introduces Apache Kafka as a modern, distributed platform for data streams made up of distributed, immutable, append-only commit logs. It describes Kafka's scalability similar to a filesystem and guarantees similar to a database, with the ability to rewind and replay data. The document discusses Kafka topics and partitions, partition leadership and replication, and provides resources for further information.
This document provides an overview of Ceph, a distributed storage system. It defines software defined storage and discusses different storage options like file, object, and block storage. It then introduces Ceph, highlighting that it provides a unified storage platform for block, object, and file storage using commodity hardware in a massively scalable, self-managing, and fault-tolerant manner. The document outlines Ceph's architecture including its components like OSDs, monitors, RADOS, RBD, RGW, and CephFS. It also discusses various access methods and use cases for Ceph like with OpenStack.
Oracle Real Application Clusters 19c- Best Practices and Internals- EMEA Tour...Sandesh Rao
In this session, I will cover under-the-hood features that power Oracle Real Application Clusters (Oracle RAC) 19c specifically around Cache Fusion and Service management. Improvements in Oracle RAC helps in integration with features such as Multitenant and Data Guard. In fact, these features benefit immensely when used with Oracle RAC. Finally we will talk about changes to the broader Oracle RAC Family of Products stack and the algorithmic changes that helps quickly detect sick/dead nodes/instances and the reconfiguration improvements to ensure that the Oracle RAC Databases continue to function without any disruption
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Brian Brazil
Prometheus is a next-generation monitoring system. Since being publicly announced last year it has seen wide-spread interest and adoption. This talk will look at the concepts behind monitoring with Prometheus, and how to use it with Kubernetes which has direct support for Prometheus.
Apache Spark on K8S and HDFS Security with Ilan FlonenkoDatabricks
This document discusses running Apache Spark jobs on Kubernetes that access data from secure HDFS clusters. It begins with an introduction to Kubernetes and running big data workloads on it. It then demonstrates running a Spark job on Kubernetes that accesses a Kerberized HDFS cluster. The document delves into details of securing HDFS access and running HDFS itself on Kubernetes. It discusses how data locality was broken when running Spark on Kubernetes originally and how it was fixed to improve performance.
My presentation on the paper: Xen and the Art of Virtualization by Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, Alex Ho, Rolf Neugebauer, Ian Pratt, Andrew Warfield. Prepared for CSCI 297 - Advanced Operating System at GWU, Spring 2010
This document discusses virtualization, containers, and hyperconvergence. It provides an overview of virtualization and its benefits including hardware abstraction and multi-tenancy. However, virtualization also has challenges like significant overhead and repetitive configuration tasks. Containers provide similar benefits with less overhead by abstracting at the operating system level. The document then discusses how hyperconvergence combines compute, storage, and networking to simplify deployment and operations. It notes that many hyperconverged solutions still face virtualization challenges. The presentation argues that combining containers and hyperconvergence can provide both the benefits of containers' efficiency and hyperconvergence's scale. Stratoscale is presented as a solution that provides containers as a service with multi-tenancy, SLA-driven performance
The document discusses potential use cases for the Freezer backup solution in OpenStack clouds. It describes how Freezer offers a modular architecture using OpenStack modules that allows for easy maintenance and support. Additionally, Freezer can enable digital transformation and provide a single solution for backing up VMs, desktops, applications and physical servers. Freezer also offers incremental encrypted backups and disaster recovery capabilities. The document provides an overview of Freezer's features and capabilities.
Kubernetes와 Kubernetes on OpenStack 환경의 비교와 그 구축방법에 대해서 알아봅니다.
1. 클라우드 동향
2. Kubernetes vs Kubernetes on OpenStack
3. Kubernetes on OpenStack 구축 방벙
4. Kubernetes on OpenStack 운영 방법
VictoriaLogs: Open Source Log Management System - PreviewVictoriaMetrics
VictoriaLogs Preview - Aliaksandr Valialkin
* Existing open source log management systems
- ELK (ElasticSearch) stack: Pros & Cons
- Grafana Loki: Pros & Cons
* What is VictoriaLogs
- Open source log management system from VictoriaMetrics
- Easy to setup and operate
- Scales vertically and horizontally
- Optimized for low resource usage (CPU, RAM, disk space)
- Accepts data from Logstash and Fluentbit in Elasticsearch format
- Accepts data from Promtail in Loki format
- Supports stream concept from Loki
- Provides easy to use yet powerful query language - LogsQL
* LogsQL Examples
- Search by time
- Full-text search
- Combining search queries
- Searching arbitrary labels
* Log Streams
- What is a log stream?
- LogsQL examples: querying log streams
- Stream labels vs log labels
* LogsQL: stats over access logs
* VictoriaLogs: CLI Integration
* VictoriaLogs Recap
This document provides an overview of OpenStack. It begins with session goals of making the audience familiar with OpenStack, its community and architecture. It then covers the history, terminology, services, architecture, installation methods and risks. Key components discussed include Nova (compute), Neutron (networking), Cinder (block storage), Swift (object storage), Glance (image repository), Keystone (identity), Horizon (dashboard) and Heat (orchestration). The document provides details on each component and the OpenStack project timeline.
The document discusses OpenStack Neutron and Software Defined Networks (SDN). It begins with an agenda for a demonstration of Neutron including creating networks, spawning VMs, testing connectivity, and creating load balancers. It then provides an overview of Neutron components and architecture, including the modular layer 2 plugin. It demonstrates Neutron APIs and network namespaces. It introduces SDN concepts like the control plane and network virtualization. Finally, it discusses how Neutron enforces SDN through plugins like PLUMgrid that implement the functionality on software edges in compute nodes.
This was a tutorial which Mark McClain and I led at ONUG, Spring 2015. It was well received and serves as a walk through of OpenStack Neutron and it's features and usage.
Horizon is a dashboard for managing OpenStack services powered by Django. It includes key packages like openstack_dashboard, horizon, and openstack_auth. The horizon package defines common components like tables, workflows, and forms. The openstack_dashboard package contains the actual Django project including dashboards and panels. Developers can create new dashboards and panels by using the provided commands and adding the appropriate configuration files.
The OpenStack project was launched by Rackspace and NASA in July 2010. Since then it has gained considerable momentum, with over 200 companies joining the project.
Horizon is OpenStack’s web-based user interface. It is constructed in two parts: 1) a core set of libraries for implementing a dashboard; 2) a reference dashboard implementation that uses the core set of libraries. Customization is key to the Horizon framework. It allows developers to construct their own dashboards, panel groups, and panels, and assemble them via a common navigation/presentation framework.
In this presentation, David will provide a brief introduction to OpenStack and Horizon. Then he will review Horizon’s architecture, explain how it integrates with other OpenStack services, examine its most interesting features, and describe how to start developing with it.
OpenStack Horizon: Controlling the Cloud using DjangoDavid Lapsley
OpenStack is an open source cloud computing project that is implemented predominantly in Python. OpenStack’s goal is to provide the "ubiquitous open source cloud computing platform for public and private clouds”. The OpenStack project was launched by Rackspace and NASA in July 2010. Since then the project has gained considerable momentum with over 200 companies joining the project, and the launch of commercial services and products that use OpenStack.
The OpenStack Horizon project provides a web-based User Interface to OpenStack services. It is constructed in two parts: (1) a core set of libraries for implementing a Dashboard; (2) a reference dashboard implementation that uses the core set of libraries. Customization is a core part of the Horizon Framework. The framework enables developers to construct their own dashboards, panel groups and panels, and enables them to assemble them together via a common navigation/presentation framework.
In this presentation, we will provide a brief introduction to OpenStack and Horizon. Then we will dive into the details of Horizon. We will review Horizon’s overall architecture and how it integrates with other OpenStack services. We will look at some of Horizon’s interesting features and describe how to get started developing with Horizon. Finally, we will discuss some of the current challenges facing Horizon and some future directions.
Extending Openstack Horizon for multi cloud managementCoreStack
This document discusses customizing the Horizon dashboard to manage multiple cloud environments from a single pane of glass. It provides an overview of Horizon and multi-cloud management tools. The requirements of managing multiple OpenStack environments, public/private clouds, tenants with granular access controls are covered. A demo is shown of a customized Horizon dashboard that supports these requirements along with branding and security customizations. The document also discusses related OpenStack identity federation and cascading features.
OpenStack Cinder, Implementation Today and New Trends for TomorrowEd Balduf
This document discusses OpenStack Block Storage (Cinder) implementations, trends, and the future direction of Cinder. It provides an overview of Cinder's mission to provide on-demand, self-service block storage and its plugin architecture that supports various backend storage devices. It also discusses some common storage types in OpenStack and looks at specific Cinder features, configurations, and the user experience. The document concludes by exploring how Cinder may evolve to better support enterprise applications and looks at upcoming changes in the Liberty release.
This document discusses storage as a service and how OpenStack provides storage options. It describes Storage as a Service and the types of storage available in OpenStack, including ephemeral, object, block, and file storage. It provides overviews of the OpenStack Object Storage (Swift) and Block Storage (Cinder) projects and how they work. The document also discusses filesystem storage in OpenStack using protocols like NFS and CIFS.
Deep dive into OpenStack storage, Sean Cohen, Red HatSean Cohen
The document provides an overview of storage features and enhancements in OpenStack Havana and what is planned for Icehouse.
The summary is:
- Havana introduced new features for Cinder like encrypted volumes, volume migration, and QoS support. Glance added multi-location support and Swift added global clusters with region-based replication.
- Planned Icehouse features include Cinder volume replication, Glance image recovery workflows, and Swift storage policies and multi-ring support to improve performance and scalability.
I invite you to come and listen to my presentation about how Openstack and Gluster are integrating together in both Cinder and Swift.
I will give a brief description about Openstack storage components (Cinder, Swift and Glance) , followed by an intro to Gluster, and then present the integration points and some preferred topology and configuration between gluster and openstack.
Rook.io is an open source cloud-native storage orchestrator for Kubernetes that supports various storage providers like Ceph and allows provisioning of block storage, object storage, and shared file systems using CRDs; it provides a framework to deploy and manage different storage systems on Kubernetes including Ceph which is a highly scalable distributed storage solution for production environments. The presenter demonstrates configuring and deploying Rook operator for Ceph which manages the Ceph components and allows dynamically growing or replacing the underlying storage infrastructure.
stackconf 2020 | Replace your Docker based Containers with Cri-o Kata Contain...NETWAYS
They provide the workload isolation and security advantages of VMs. but at the same time maintain the speed of deployment and usability of containers.by using kata containers, instead of namespace, small virtual machines are created on the kernel and be strongly isolated. The technology of Kata Containers is based on KVM hypervisor. That’s why the level of isolation is equivalent to typical hypervisors. This session will focus on a live production phase when choosing kata instead of docker, and why they are preferable
Although containers provides software-level isolation of resources, the kernel needs to be shared. That’s why the isolation level in terms of security is not so high when compared with hypervisors.This learns to shift from Docker as the de facto standard to Kata containers and learn how to obtain higherl level of security
Rook.io is an open source cloud-native storage orchestrator for Kubernetes that supports various storage providers like Ceph and allows provisioning of block storage, object storage, and shared file systems using CRDs; it provides a framework to deploy and manage different storage systems on Kubernetes including Ceph which is a highly scalable distributed storage solution for block storage, object storage, and file systems that can be run using Kubernetes primitives. The presenter demonstrates configuring and deploying Rook operator for Ceph which manages the Ceph cluster through CRDs to provide storage for applications like MySQL.
A Storage Orchestrator for Kubernetes
Rook turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management.
Rook uses the power of the Kubernetes platform to deliver its services: cloud-native container management, scheduling, and orchestration.
LibCT: one lib to rule them all -- Andrey VaginOpenVZ
LibCT is a C library that allows building containerized applications by configuring namespaces and cgroups to provide isolation. It aims to simplify the complex low-level container APIs and support different container types like Linux containers, OpenVZ, Solaris Zones, and BSD jails. LibCT hides low-level API changes and provides bindings for other languages. It also serves as an alternative to Libcontainer which is written in Go. The presentation covered the history of Linux containers, namespaces, cgroups, LibCT's API, examples of use, and future integration plans.
XenServer Virtualization In Cloud EnvironmentsTim Mackey
= As presented at the CloudStack Silicon Valley Meetup in September 2015. =
XenServer is a virtualization platform which has been deployed in a variety of industries and to support a multitude of workloads. In this session we discuss some of the components which make it valuable not just for traditional server and desktop virtualization, but also within "the cloud". This includes discussion of VM density, network scalability, containers (such as Docker) and GPU virtualization. We end with coverage of how XenServer templates are represented within Apache CloudStack.
This document provides an introduction to Docker and Openshift including discussions around infrastructure, storage, monitoring, metrics, logs, backup, and security considerations. It describes the recommended infrastructure for a 3 node Openshift cluster including masters, etcd, and nodes. It also discusses strategies for storage, monitoring both internal pod status and external infrastructure metrics, collecting and managing logs, backups, and security features within Openshift like limiting resource usage and isolating projects.
OpenStack Cinder Best Practices - Meet UpAaron Delp
OpenStack Block Storage (Cinder) provides on-demand, self-service access to block storage resources through abstraction and automation of backend storage devices. Cinder uses a plugin architecture that supports various storage backends like LVM, SolidFire, EMC, etc. It allows users to dynamically create, attach, and detach disk volumes to Nova instances. The presentation discusses Cinder's architecture, common storage types, and demos creating volume types and extra specs to control which backend is used.
Linux container (LXC) seems to be preferred technology for deployment of Platform as a service (PaaS) in cloud. Partly because it's easy to install on top of existing visualization platforms (KVM, VMware, VirtualBox), partly because it is lightweight solution to provide separation and process allocations between separate containers running under single kernel.
In this talk we will take a look at LXC and try to explain how to combine it with mandatory access control (MAC) mechanisms within Linux kernel to provide secure separation between different users of applications.
The talk is about operating system virtualization technology known as OpenVZ. This is an effective way of partitioning a Linux machine into multiple isolated Linux containers. All containers are running on top of one single Linux kernel, which results in excellent density, performance and manageability. The talk gives an overall description of OpenVZ building blocks, such as namespaces, cgroups and various resource controllers. A few features, notably live migration and virtual swap, are described in greater details. Results of some performance measurements against VMware, Xen and KVM are given. Finally, we will provide a status update on merging bits and pieces of OpenVZ kernel to upstream Linux kernel, and share our plans for the future.
iland Internet Solutions: Leveraging Cassandra for real-time multi-datacenter...DataStax Academy
iland has built a global data warehouse across multiple data centers, collecting and aggregating data from core cloud services including compute, storage and network as well as chargeback and compliance. iland's warehouse brings actionable intelligence that customers can use to manipulate resources, analyze trends, define alerts and share information.
In this session, we would like to present the lessons learned around Cassandra, both at the development and operations level, but also the technology and architecture we put in action on top of Cassandra such as Redis, syslog-ng, RabbitMQ, Java EE, etc.
Finally, we would like to share insights on how we are currently extending our platform with Spark and Kafka and what our motivations are.
Leveraging Cassandra for real-time multi-datacenter public cloud analyticsJulien Anguenot
iland has built a global data warehouse across multiple data centers, collecting and aggregating data from core cloud services including compute, storage and network as well as chargeback and compliance. iland's warehouse brings actionable intelligence that customers can use to manipulate resources, analyze trends, define alerts and share information.
In this session, we would like to present the lessons learned around Cassandra, both at the development and operations level, but also the technology and architecture we put in action on top of Cassandra such as Redis, syslog-ng, RabbitMQ, Java EE, etc.
Finally, we would like to share insights on how we are currently extending our platform with Spark and Kafka and what our motivations are.
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
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2. 2 of 24
OpenStack Components
Horizon
UI
Keyston
e
Identity Service
Nova
Compute
Glance
Image Service
Neutron
Networking
Cinder
Block Storage
Manila
Shared File
Storage
Swift
Object Store
3. 3 of 24
Cinder Mission Statement
To implement services and libraries to provide on
demand, self-service access to Block Storage
resources. Provide Software Defined Block Storage
via abstraction and automation on top of various
traditional backend block storage devices.
4. 4 of 24
What is Cinder?
• Created in the OpenStack Folsom release (2012)
– Spun off from Nova volume
• Cinder manages block storage
– Different than shared file storage – that’s Manila
– Different than object storage – that’s Swift
– Provides management abstraction over a variety of backends
– Provides:
› Create/delete
› Attach/detach
› Snapshot
› Backup
• Volumes have lifecycles independent of VMs
5. 5 of 24
Where Does Cinder Fit?
• Cinder provides API’s to interact with vendors’ storage backends
• Exposes vendor’s storage hardware to the cloud
• Provides persistent storage to VMs, containers, bare metal…
• Enables end users to manage their storage without knowing
where that storage is coming from
6. 6 of 24
Where Does Cinder Fit?
Legend
Control Path
Data Path
Note that iSCSI is just
an example – several
additional protocols are
supported
(e.g., FC, NFS)
Storage Controller
Nova
VM
/dev/vda
KVM
iSCSI
initiator
Cinder
iSCSI
target
VM
7. 7 of 24
Cinder Architecture
cinder-api
cinder-scheduler
cinder-volume
driver
cinder-backup
SQL DB
client
REST
Storage
Message Queue
8. 8 of 24
Cinder Services
• API
– REST interface to Cinder
– Generally runs on control node
• Scheduler
– Takes requests from the API service
– Works with the volume service to satisfy requests
– Generally runs on control node
9. 9 of 24
Cinder Services
• Volume
– Interacts with vendor storage backends
– Can run on control node
– Sometimes offloaded to different host
› Especially for LVM backend
• Backup
– Interface to backup volumes to storage like Swift, TSM, Google Cloud
Storage, etc.
– Able to scale out to multiple nodes for simultaneous operations
10. 10 of 24
Clients
• Cinder Client
– python-cinderclient is the command line interface to Cinder
› ‘cinder volume create 1 --name Test’
– Also client library for Python code
– Uses REST to communicate with the cinder-api service
• OpenStack Client
– All projects moving to OpenStack Client
› ‘openstack volume create --size 1 Test’
13. 13 of 24
Minimum Driver Features
Drivers must implement support for the core
features:
Volume Create/Delete
Volume Attach/Detach
Snapshot Create/Delete
Create Volume from Snapshot
Copy Image to Volume
Copy Volume to Image
Clone Volume
Extend Volume
14. 14 of 24
Volume Types
• Used to request properties of
volumes during creation
• Can also control users’ access
to different storage
• Only admins can create
volume types
• Users specify the volume type
when they create a volume
15. 15 of 24
Volume Type Extra Specs
• Extra specs are used to set type properties
• Some standard, some vendor specific
– volume_backend_name=lvm1
– sio:provisioning_type:thin
– hp3par:persona=3
• Extra specs are only visible to the admin
16. 16 of 24
Volume Type Extra Specs
• Extra specs can be modified via UI, CLI, or API
# cinder type-create GoldVolume
# cinder type-key GoldVolume set storagetype:storageprofile=highpriority
# cinder type-create BronzeVolume
# cinder type-key BronzeVolume set storagetype:storageprofile=lowpriorty
17. 17 of 24
Retype and Migration
• Retype is used to change settings of a
volume
– Some retypes can happen without moving
data
– Some require moving the volume to a
different backend
• Migration is used to move a volume
between two different backends
– For example – from LVM to Ceph
18. 18 of 24
Fibre Channel Support
• Fibre Channel Zone Manager
• Dynamically create and delete switch zoning
• Drivers to support fabric management:
– Brocade
– Cisco
19. 19 of 24
Cinder Backup
• Backup and restore volumes
• Must be either in Available state or able to create and mount
snapshot
• Several backup drivers supported:
– Ceph
– Google Cloud Storage
– NFS
– Posix Filesystem
– Swift
– Tivoli Storage Manager
20. 20 of 24
Cinder Backup
• Backup via CLI, UI, or API
• Needs to be enabled in Horizon
– /etc/openstack-dashboard/local_settings.py
– OPENSTACK_CINDER_FEATURES = {‘enable_backup’: True}
• No cron type scheduling in Cinder
# cinder backup-create --name MyBackup --description “prepatch”
--incremental vol1
# cinder backup-restore a006718b-b583-4d59-9ddb-d1109dc98ebf
21. 21 of 24
Mitaka Updates
• Basic support for replication
• Backup improvements
– Backup of snapshots
– Scale out of backup-service nodes
– Full and incremental backup
• Active/Active HA progress
• OS-brick library and client
• Rolling upgrades
• Work toward multiattach
• API microversions
22. 22 of 24
Ongoing/Future Work
• Better support for replication
• Active/Active High Availability
• More backend storage support
• Better user error reporting
• Improved OpenStack Client support
23. 23 of 24
References
OpenStack Documentation
• http://docs.openstack.org/
Cinder Developer Wiki
• https://wiki.openstack.org/wiki/Cinder
Bug and New Feature Tracking
• https://launchpad.net/cinder