Hello cloud 1
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OpenStack is an open-source software platform for building private and public clouds. It uses a modular architecture with individual components that can scale independently. The core services include compute (Nova), object storage (Swift), block storage (Cinder), identity (Keystone), image service (Glance), networking (Neutron), orchestration (Heat), and telemetry (Ceilometer).
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This document discusses OpenStack, an open source cloud computing platform. It describes the Infrastructure as a Service (IaaS) model and how OpenStack provides IaaS capabilities. It then outlines the key components of OpenStack including compute, storage, networking, identity management and a dashboard interface. Finally, it provides examples of organizations that use OpenStack such as BMW, Intel and NASA.
Open stack
OpenStack is an open-source cloud computing platform that provides services for managing compute, storage, and networking resources in a datacenter. It allows users to build public and private clouds with control over data and resources. The main OpenStack services are Compute (Nova), Networking (Neutron), Block Storage (Cinder), Identity (Keystone), Image (Glance), Object Storage (Swift), Dashboard (Horizon), Orchestration (Heat), and Telemetry (Ceilometer). Together these services provide infrastructure as a service capabilities like managing virtual machines, networks, storage, and monitoring usage.
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This document discusses OpenStack, an open source cloud computing platform. It was started in 2010 by Rackspace and NASA and now has over 150 members. OpenStack consists of several components including Nova for compute, Glance for images, Swift for storage, Keystone for identity, and Horizon for the web interface. The document provides details on each component and demonstrates how to set up an example OpenStack infrastructure with one controller and compute nodes, and how it can scale out by adding more nodes and storage. It also discusses what would happen if components fail and includes an offer of a demo.
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This document discusses OpenStack, an open source cloud computing platform. It describes the Infrastructure as a Service (IaaS) model and how OpenStack provides IaaS capabilities. It then outlines the key components of OpenStack including compute, storage, networking, identity management and a dashboard interface. Finally, it provides examples of organizations that use OpenStack such as BMW, Intel and NASA.
Open stack
OpenStack is an open-source cloud computing platform that provides services for managing compute, storage, and networking resources in a datacenter. It allows users to build public and private clouds with control over data and resources. The main OpenStack services are Compute (Nova), Networking (Neutron), Block Storage (Cinder), Identity (Keystone), Image (Glance), Object Storage (Swift), Dashboard (Horizon), Orchestration (Heat), and Telemetry (Ceilometer). Together these services provide infrastructure as a service capabilities like managing virtual machines, networks, storage, and monitoring usage.
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This document discusses OpenStack, an open source cloud computing platform. It was started in 2010 by Rackspace and NASA and now has over 150 members. OpenStack consists of several components including Nova for compute, Glance for images, Swift for storage, Keystone for identity, and Horizon for the web interface. The document provides details on each component and demonstrates how to set up an example OpenStack infrastructure with one controller and compute nodes, and how it can scale out by adding more nodes and storage. It also discusses what would happen if components fail and includes an offer of a demo.
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Openstack
OpenStack is an open-source cloud computing platform that provides infrastructure as a service. It was launched in 2010 by Rackspace Hosting and NASA to help organizations offer cloud services using standard hardware. OpenStack uses a set of software tools to build and manage cloud computing platforms. It controls large pools of computing, storage, and networking resources through a dashboard interface for administrators and users. Key components of OpenStack include Nova (manages virtual machines), Swift (object storage), Cinder (block storage), Neutron (networking), and Horizon (the dashboard interface).
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Gwmep task manageras-a-service in apache cloud stack
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+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
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This document discusses the history and development of OpenStack. It describes how NASA built its own cloud computing platform called Nova to host high-resolution images of the moon and mars. Meanwhile, Rackspace was building its own object storage system called Swift. NASA and Rackspace realized they had similar technical approaches and jointly launched OpenStack in 2010 under an open source license. Since then, OpenStack has grown significantly with many contributors and components that provide compute, storage, networking and other cloud services.
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- OpenStack is an open source cloud operating system that manages compute, storage, and networking resources. It was designed to run on commodity hardware.
- It provides infrastructure as a service (IaaS) capabilities and consists of several interconnected projects to provide services like compute (Nova), object storage (Swift), block storage (Cinder), and networking (Neutron).
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The document summarizes OpenStack, an open-source cloud computing platform. It describes the core components of OpenStack including compute (Nova), object storage (Swift), image service (Glance), block storage (Cinder), identity (Keystone), networking (Quantum), dashboard (Horizon), and metering (Ceilometer). It also provides an overview of how to use and learn more about OpenStack through documentation, wikis, mailing lists, and hands-on testing environments.
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This document discusses how OpenStack can be used to meet the needs of a smart grid system. It provides step-by-step instructions for installing and configuring OpenStack identity, image, compute, storage, block storage, and networking services. It then discusses how business applications like enterprise collaboration, ERP, CRM can utilize cloud computing. Finally, it discusses how OpenStack can support internet of things and smart grid applications like meter monitoring, feeder monitoring, and power quality monitoring.
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This document compares and contrasts AWS and Azure across several categories:
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- Storage: AWS uses S3, Glacier, and S3 IA. Azure uses Storage Block Blobs, Cool, and Archive.
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- Deployment: AWS offers Elastic Beanstalk, Lambda, and ECS. Azure offers multiple PaaS options like Cloud Services and Container Service.
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This was presented at Linux.conf.au 2011 in Brisbane Australia as part of the Storage miniconf. It gives an introduction to Eucalyptus, and invites you to join the open source community.
Megastore
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+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
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OpenStack is an open source cloud computing platform providing infrastructure as a service (IaaS). The presentation will encapsulate the contents of OpenStack, amplified by practical demo and simple but effective guidelines to access OpenStack.
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Speaker: Chi Le – Head of Infrastructure System at Da Nang ICT Infrastructure Development Center
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More from Gireesh Kumar
SOLID
This document discusses the SOLID principles of object-oriented design:
S is for the Single Responsibility Principle which states that every object should have a single responsibility. O is for the Open-Closed Principle which states that software entities should be open for extension but closed for modification. L is for the Liskov Substitution Principle which states that subclasses should be substitutable for their base classes. I is for the Interface Segregation Principle which states that clients shouldn't depend on interfaces they don't use. D is for the Dependency Inversion Principle which states that high-level modules shouldn't depend on low-level modules but both should depend on abstractions.
Hello cloud
This document provides an introduction to cloud computing concepts including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), virtualization, cloud deployment models of private, public and hybrid clouds, and cloud service models of IaaS, PaaS, SaaS, and Database as a Service (DBaaS). It discusses the benefits of cloud computing such as scalability, cost reduction, and mobility. Virtualization is described as the foundational technology enabling cloud computing.
Hello cloud 7
Cloud Foundry is an open source cloud platform that allows developers to build, deploy, run, and scale applications on public and private clouds. It provides benefits such as application portability, auto-scaling, centralized administration and logging, dynamic routing, and health management. Cloud Foundry supports various programming languages and frameworks through buildpacks and runs on Ubuntu, with components that provide organizations, spaces, user accounts, and role-based access controls.
Hello cloud 6
The document discusses the 12 Factor App methodology for building scalable software-as-a-service applications. The 12 factors are: use one codebase tracked in version control; declare and isolate dependencies; store config in the environment; treat backing services as attached resources; separate build and run stages; execute the app as stateless processes; export services via port binding; scale out via processes; maximize robustness with fast startup and graceful shutdown; keep development, staging, and production environments similar; treat logs as event streams; and run admin/management tasks as one-off processes.
Hello cloud 5
The document discusses common cloud problems such as not understanding the cloud environment and lack of monitoring. It then introduces the DHARMA principles for designing cloud applications, which are to be documented, highly cohesive and loosely coupled, automated from commit to cloud, resource aware, monitored thoroughly, and antifragile. Each principle is then defined in more detail. The document concludes by listing assignments for readers to learn Linux commands, design patterns, antifragile patterns, reverse proxies, caching frameworks, and monitoring tools.
Hello cloud 4
The document discusses Internet of Things (IoT) and microservices. It defines IoT as the network of physical objects connected to the internet. It defines microservices as an architecture where complex applications are composed of independent, communicating processes. It contrasts monolithic applications that have large codebases and components with unclear ownership to microservices that have many smaller, independent services with single responsibilities. It discusses advantages of microservices like independent deployments and scaling, as well as challenges like service discovery and operational overhead.
Hello cloud 3
This document discusses GraphDB and Docker. It introduces GraphDB as a database that stores objects and links between objects, unlike relational databases. It also introduces Docker as an open platform for building, shipping, and running distributed applications. The assignments listed involve JSON, YAML, graph databases, listing NoSQL databases and their storage types, and use cases for NoSQL data storage. The next topics to be discussed are listed as GraphDB, Docker, and IOT.
Hello cloud 2
This document discusses NoSQL databases and provides details about Cassandra. It defines NoSQL as non-relational and schema-free and lists four main types: key-value, column, document, and graph. Examples of column stores include Cassandra, Hadoop, and Amazon SimpleDB, while key-value databases include DynamoDB, Redis, and Oracle NoSQL DB. The document then lists assignments for students on JSON, YAML, graph databases, and listing NoSQL databases and use cases.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
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https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
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- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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- Verstehen des DLAU-Tools und wie man es am besten nutzt
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Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
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Hello cloud 1
- 1. Hello Cloud -2 GIREESH KUMAR
- 2. Topics Introduction to services offered by AWS, Azure, Google and other IaaS OpenStack AWS
- 4. OpenStack OpenStack is a free and open-source software platform for cloud computing Set of software tools for building and managing cloud computing platforms for public and private clouds
- 5. OpenStack
- 6. OpenStack Architecture Modular architecture Design to scale Based on set of core services Individual autonomous components A framework, relies on drivers and plugins Heavily on Linux
- 7. OpenStack Orchestration (Heat) Template based orchestrator for cloudl apps Automate deployment of storage, networking resources Block storage (cinder) Block storage for virtual machines Like Amazon EBS, plugin architecture Dashboard - Horizon Simple self service UI Basic cloud administration functions Identity - Keystone User, Role management Pluggable backbends - SQL, LDAP etc Telemetry (Ceilometer) Monitor, collect, usage data for all components Metering and monitoring
- 8. Networking (Neutron) Framework for SDN (Software Defined Networking) Plugin architecture for hardware and software based networking solutions Object Storage (Swift) Like Amazon S3 service Simple service for storing and retrieving data Image Service (Glance) Store, retrieves disk images (virtual machine ) backend storage, File, swift, Amazon S3 Compute (Nova) Schedule, manages life cycle of virtual machine instances on supported hypervisors
- 9. Compute . Storage . Networking . Monitoring
- 11. .
- 23. Quiz What is OpenStack
- 24. Assignments • AWS Certification • AWS Lambda • Cloud Promotion
- 25. Next Introduction to Docker Introduction to NoSql Databases (MongoDB, GraphDB etc) Casandra