For information about monitoring software, see Section 3.9, “Additional Software”. A compute-focused OpenStack cloud is extremely demanding on processor and memory resources. Erasure coded pools are recommended to maximize the amount of usable space. This diagram offers a high­level overview of OpenStack and the components it contains. The architecture provides prescriptive guidance and The Compute service is installed on each of the Compute nodes. Do not increase the CPU over-commit ratio in a compute-focused OpenStack design architecture. Each node requires a minimum of one The OpenStack user can create virtual networks without the knowledge To meet policy requirements, the cloud infrastructure will run inside the company data center. Monitoring of physical hardware and environmental resources, such as temperature and humidity. Define a reference architecture for edge and far edge deployments including OpenStack services and other open source components as building blocks. Because this workload includes an externally-facing service and an internally-replicating application, it requires north-south and east-west traffic considerations. as VXLAN. Performance-focused storage system designed for management and analysis of large data sets, such as Hadoop clusters. The web application instances run from local storage on each of the Compute nodes. Networking services. An example of this is StarlingX, as its architecture closely resembles the distributed model. This option lacks support for self-service (private) networks, layer-3 This system can provide additional performance capabilities. This architecture type is flexible, does not emphasize any single OpenStack component, and is not restricted to specific environments. A split network configuration is compatible with databases that reside on private tenant networks, because the databases do not emit a large quantity of broadcast traffic and might need to interconnect to other databases for content. Storage-Focused Architecture Types, 4.4.3. A Block Diagram showing OpenStack Architecture. virtual machine or instance. The basic components that make up the architecture of OpenStack are:Compute (Nova)Compute is one of the most important and mandatory components of OpenStack. Therefore, you must plan for typical usage and for sudden spikes in resource demand. The following table describes common network-focused architectures. Many readers of these articles have a keen interest in IBM, so it's worth highlighting how important OpenStack is to the company. Use solid-state drive (SSD) disks to minimize instance storage latency, reduce CPU delays, and improve performance. Network-Focused Architecture Types, 4.5.2. The guide also describes five common cloud use cases. Cloud storage typically runs on a virtual infrastructure and resembles broader cloud computing in interface accessibility, elasticity, scalability, multi-tenancy, and metered resources. Although enterprise storage is not a requirement, many environments include storage that the OpenStack cloud can use as a backend. In this case, it is easier to automate the infrastructure to apply the target IP to a new instance, instead of reconfiguring legacy or external systems for each new instance. OpenStack Swift Architecture ... For example, if a valid request is sent to Swift then the proxy server will verify the request, determine the correct storage nodes responsible for the data (based on a hash of the object name) and send the request to those servers concurrently. The following diagram shows an OpenStack store with a high-performance requirement. To spread the API load, you must deploy instances of the openstack-nova-api service in the child cells that Telemetry can query. This Reference Architecture will provide an example of an entry level Red Hat OpenStack Platform (RHOSP) 13 p rivate cloud and Ceph Storage deployment on industry leading HPE Synergy servers. Use a deployment tool such as Ansible, Chef, Puppet, or Salt (routing) services, and advanced services such as VLAN networks if the layer-2 plug-in is configured accordingly. Network Operations Center (NOC) staffed and always available to resolve issues. ... for example, a self-service portal GUI for end users -- or may enhance horizon with z/VM-specific content. Architecture Design Guide, In applications such as Voice over IP (VoIP), differentiated service code points are usually required for continued operation. Use this service to monitor instance usage and adjust project quotas. This example architecture differs from a minimal production architecture as i already have two physical servers. August 20, 2015 By Lingeswaran R 2 Comments. For more information about OpenStack Networking, see Chapter 2, Networking In-Depth. Analysis of large data sets is highly dependent on the performance of the storage system. virtual networks to physical networks using NAT. minimum of one network interface. To boost performance, you can choose specialty solutions to cache disk activity. This architecture type uses a cloud backup application, where incoming data to the cloud traffic is higher than the outgoing data. Compute management and scheduling services run on the controller. You should use the same, or similar CPUs in the extra nodes to reduce the chance of breaking any live-migration features. Users are sensitive to latency and jitter fluctuations and can detect them at very low levels. It is important to size network capacity to handle the additional loads. This metric is related to, but different from, scalability, which is a measure of the solution performance as it expands. In this example, Ceph provides a Swift-compatible REST interface, as well as block-level storage from a distributed storage cluster. Manages instance templates to use when scaling out and during traffic bursts. Application Programming Interface (API) that facilitates this If there is a shortage of IPv4 addresses, you can use the following methods to mitigate the shortage outside of OpenStack: In some cases it may be desirable to use only IPv6 addresses on instances and operate either an instance or an external service to provide a NAT-based transition technology such as NAT64 and DNS64. Compute-focused cloud specifically that supports compute-intensive workloads. Connectivity. The following table lists the requirements for each compute center to add: This architecture uses cells for segregation of compute resources and for transparent scaling between different data centers. Hardware load balancers to distribute workloads or off-load certain functions, External devices to implement dynamic routing. This configuration maximizes available bandwidth usage. You can also use QoS for mixed workloads to prevent low-priority, high-bandwidth applications such as backup services, video conferencing, or file sharing, from blocking bandwidth that is needed for the continued operation of other workloads. Details include how to configure the OpenStack Cinder storage block service using the Oracle ZFS Storage Appliance to implement multiple OpenStack volume services, each meeting different types of storage SLA requirements. Manages templates for instances and block storage volume. This can also include These permutations of perspectives drive a paucity of aligned user stories to share with the OpenStack and StarlingX communities. You can build a storage array using commodity hardware with Open Source software, but you might need specialized expertise to deploy it. You can address the higher host count with a quad-socket platform. The load balancer links to the routing architecture while it services the virtual IP (VIP) for the application. Ticketing system, or integration with a ticketing system, to track issues. The following cloud-backup application workload has two specific behaviors that impact the network. After becoming familiar with basic installation, configuration, operation, computing experts from around the world contribute to the project. Therefore, a server that supports multiple CPUs with HTT multiplies the number of available cores. If a MariaDB instance fails, storage must be re-attached to another instance and re-join the Galera cluster. When a user uploads and stores content, that content moves southbound into the OpenStack environment. Pacemaker is used to manage the Galera nodes. This design includes the following components and workflows: A web service architecture can consist of many options and optional components. Big data applications that require a large amount of network resources include Hadoop, Cassandra, NuoDB, Riak, or other NoSQL and distributed databases. Openstack.org is powered by Centralized log collection and log-analytics capabilities. Compute-intensive workload might mean CPU-intensive, such as significant data computation, encryption, or decryption. A master node is not an OpenStack node. This guide covers step-by-step deployment of the major OpenStack If application network connections are small, short lived, or bursty, running a dynamic overlay can generate as much bandwidth as the packets the network carries. Compute nodes use OpenStack Block Storage for instances that need persistent storage. Firewall, switches, and hardware load balancers for the public-facing network connections. In this architecture example, the database I/O requirements are high and demand storage from a fast SSD pool. Automatically deploys and tests new instances. It is designed to Although a compute-focused cloud does not usually require major data I/O to and from storage, storage performance is still an important factor to consider. The router and the load balancer use the GRE tunnel ID of the application tenant network, and an IP address that is located in the tenant subnet but outside of the address pool. Changing the CPU over-commit ratio can cause conflicts with other nodes that require CPU resources. If your company has an existing Red Hat account, your organization administrator can grant you access. High-performance storage system that assumes increased database IO requirements and utilizes a solid-state drive (SSD) to process data. However, other versions of NAT might be running elsewhere. • OpenStack Architecture An OpenStack® based cloud is now a common need by many organizations and Dell Technologies with Red Hat have worked together to build a jointly engineered and validated architecture that details software, hardware, and integration points of all solution components. Active archive, backups and hierarchical storage management, General content storage and synchronization such as a private DropBox service, Data analytics with parallel file systems, Unstructured data store for services such as social media backend storage, Operating system and application image store. You can use cloud storage services on-premise or off-premises. CDNs can be used to stream video, view photographs, host web conferences, or access any distributed cloud-based data repository by a large number of end-users. OpenStack 101 with Joshua McKenty from Piston Cloud Computing. Creative Commons integration. This configuration ensures that the load balancer can communicate with the application HTTP servers without consuming a public IP address. This Reference Architecture can be used as an installation and deployment example for organizations deploying their first RHOS 13 based private cloud. This platform decreases host density and increases rack count. This slideshare explains the architecture of OpenStack. instances. Stores images to be used for booting instances and managing snapshots. Keep your systems secure with Red Hat's specialized responses to security vulnerabilities. VoIP systems are sensitive to network congestion, latency, and jitter. It uses OpenStack Object Storage for static objects and OpenStack Block Storage for all other storage needs. a separate storage network to increase performance and security. The compute node also Section 4.3, “Compute-Focused Architecture”. To ensure that the OpenStack infrastructure components are highly available, nodes use the Pacemaker add-on for Red Hat Enterprise Linux together with HAProxy. Architecture Design Guide. The environment then copies the results or the artifacts from each instance to long-term storage before it terminates the instances. HTT is an Intel proprietary simultaneous multi-threading implementation that is used to improve parallelization on the Intel CPUs. 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