Presentation at Apache CloudStack Collaboration Conference Europe in Amsterdam on 21st November 2013.
http://lanyrd.com/2013/cloudstack-collaboration-conference-europe/scrdzm/
Introduction to cloudstack 4.3 networking ShapeBlue
Geoff Higginbottom is a cloud architect and CTO of ShapeBlue who specializes in designing and building clouds based on Apache CloudStack. He has experience implementing CloudStack for various companies and is a committer for CloudStack. The document provides an overview of networking in CloudStack, including basic and advanced networking options, security groups, virtual private clouds, and the different network components and providers that can be used.
Designing Lean CloudStack Environments for the Edge - IndiQus - CloudStack E...ShapeBlue
Rudraksh Kulshreshtha, from Indiqus presenting how to architect lean CloudStack deployments for Edge use cases.
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CloudStack European User Group Virtual happened on May 27th. The first CSEUG Virtual proved to be a huge success. It collected people from 23 countries – Germany, the United Kingdom, Switzerland, India, Bulgaria, Greece, Poland, Serbia, Brazil, Chile, Russia, USA, Canada, Japan, France, Uruguay, Korea …
We also had a record number of registrations and attendees for a CloudStack User Group Event. The physical distance was not a stopper for our speakers, who joined the event from 6 different countries.
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About CloudStack: https://cloudstack.apache.org/
Cloudstack is an open source Infrastructure-as-a-Service (IaaS) software platform available under the GPLv3 license, which enables users to build, manage and deploy compute cloud environments. The community edition is based on the latest, leading edge features and bits that the Cloud.com team of engineers are working on and is supported by our open source community.
Using CloudStack a free and open source cloud computing software to build a private cloud. During the training attendees will be instructed on how to install Cloudstack to manage virtual infrastructure in a private cloud computing configuration. At the conclusion of the Build a Private Cloud section users will have the knowledge needed to create a simple private cloud computing environment.
Ceph for Storing MeerKAT Radio Telescope DataShapeBlue
The document discusses the use of Ceph for storing data from the MeerKAT radio telescope in South Africa. It describes the SARAO Ceph clusters used for storage, including SeeKAT-C1 and SeeKAT-C3, which store over 18 petabytes of data. It also outlines SARAO's data access and movement processes using Ceph RADOS gateways and S3. The document shares lessons learned about hardware failures and cluster balancing and discusses future plans such as upgrading clusters and building storage for an expanded MeerKAT telescope.
Amazon web services in the cloud computing landscapelodeblomme
The document discusses Amazon Web Services and its cloud computing landscape. It provides an overview of Amazon S3 for cloud file storage, EC2 for cloud servers, RDS for database services, ElastiCache for in-memory caching, EMR for processing vast amounts of data, SQS for message queuing, and SNS for notifications. It compares some of these services to alternative offerings and discusses considerations around vendor lock-in.
Softlayer began in 2005 and was acquired by IBM in 2013. It provides cloud computing infrastructure including IaaS, PaaS and SaaS. Rendering animation requires huge computing resources and time. Rendering a single animated film can require 300+ artists, 17,000+ CPU cores, 75 million CPU hours and 500 million digital files. Keeping resources on-premises to render films can cost millions whereas cloud infrastructure from Softlayer provides scalable resources more cost effectively. While security and cost concerns still hold the media industry back from fully adopting the cloud, its popularity for rendering is projected to grow to 88% within a year and 60% within 5 years.
Couchbase Server on Azure Cloud - best practices for deploying a development or production environment with Couchbase Server on Microsoft's Azure Cloud Platform.
PLNOG 6: Christian Kaufmann - How Akamai delivers your packets - the insight PROIDEA
Akamai is a content delivery network (CDN) that uses a global network of servers to deliver content to users based on factors like location and network conditions. It maps requests to the optimal server using DNS to improve performance. CDNs improve delivery by caching content at the edge and serving it from nearby locations. They peer with internet service providers to directly connect their networks for better performance, reliability, and costs. Non-network CDNs like Akamai place servers in other networks and announce small address blocks at internet exchanges to serve content without owning backbone infrastructure.
Reducing Snowflakes with Automatic Deployments via Lighthouse by Matthew IversonInfluxData
In this talk we are going to go through the journey that Optum (a Division of UnitedHealth Group) took with its automation in deploying Telegraf, InfluxDB and Lighthouse at scale. With any large enterprise, scale ends up being a critical piece to consider with any item. Lighthouse was developed in-house to control what configurations, versions and plugins go out to each individual server deployed with any of the UnitedHealth Group datacenters. It also gives them the ability to dynamically change items and have configurations rolled out within 30 minutes without ever touching a server.
Build a Cloud Render-Ready InfrastructureAvere Systems
Webinar presented September 8, 2015
Rendering applications place high-demands on both compute and storage in visual effects infrastructures. With peaks and valleys in the workflow being the norm, leading VFX creators look to the cloud to build infrastructures that provide flexibility to meet ongoing IT management challenges. In this webinar, you’ll hear from industry innovators about the advantages of cloud rendering and how VFX IT leaders are designing this on-demand solution with Avere Systems and Google Cloud Platform. Designed for CTOs, information systems directors, systems engineers and administrators, the content will discuss the initial steps and technical insights of a render-ready hybrid cloud IT architecture.
This document provides guidance on deploying Helix Core, a version control system, on Amazon Web Services (AWS). It discusses example architectures like using multiple availability zones for high performance and reliability. It also covers setting up virtual private clouds (VPCs) for security, using placement groups for continuous integration/delivery, storage options, and advanced topologies. The document concludes by discussing hybrid deployments, compliance, and options for managing Helix Core deployments through Assembla which specializes in hosting version control systems on AWS.
The document discusses how content delivery networks (CDNs) use traffic engineering and DNS-based mapping to direct user requests to optimal edge servers. It provides examples of Akamai's global infrastructure and mapping techniques. Key points made include that CDNs have no backbone and operate as independent clusters, and that BGP configurations between networks may not achieve the intended traffic steering results for CDNs. Cooperation between networks and CDNs is suggested to optimize traffic patterns.
The document discusses rendering visual effects and animation at scale using Amazon Web Services (AWS). It provides examples of companies using AWS for rendering including theme parks, gaming, and manufacturing. It then discusses the workflow components of VFX/animation rendering and challenges of on-premise rendering capacity. The document outlines how AWS provides scalability and faster outputs through rendering in the cloud. It discusses licensing models for cloud rendering, shared file systems, managing cloud infrastructure, and benchmarks showing improved performance of cloud rendering over on-premise. Overall, the document examines the state of cloud rendering on AWS and trends toward more workloads moving fully to the cloud.
GPU Renderfarm with Integrated Asset Management & Production System (AMPS)Budianto Tandianus
This document describes a GPU renderfarm system integrated with an asset management and production system (AMPS) to efficiently manage rendering assets and accelerate the rendering process for CG movie production. The system allows artists around the world to upload and manage assets through AMPS. Rendering jobs are submitted online to a GPU renderfarm and monitored. Experiments showed nearly linear speedups from adding more GPU nodes, with render time decreasing from over 5 hours on one GPU to under 1.5 hours on two nodes with six GPUs total. Future work includes direct job submission from authoring tools and support for more tools, renderers, and heterogeneous renderfarm configurations.
ShapeBlue is a company that specializes in building public and private clouds using CloudStack. The document discusses several new features in CloudStack version 4.13 and 4.14 including constrained custom offerings, unmetered networks, OVA appliance support, zone-specific disk and compute offerings, hereditary tags on recurring snapshots, improved UI branding, and shared template support in the UI. It also outlines ShapeBlue's customers and provides an overview of backup and recovery functionality planned for CloudStack.
For the last three years, our DevOps tiger team has focused on moving towards full infrastructure automation using the cloud, software defined networks and infrastructure as code for both our internal IT, and for multiple CSRA customers at federal agencies. We've focused our journey on automating manual processes and moving at the speed of culture. Through that experience we have learned many realities as well as techniques that we plan to share so you can make your own transformation to this new model in your organization
CloudStack EU User Group - Making stuff better through CloudStackShapeBlue
The document discusses using CloudStack to deploy virtual Mitel phone systems for customers. Key points include:
- The company previously hosted Mitel systems manually on VMware which required significant resources.
- They migrated to hosting Mitel systems on CloudStack for improved automation, consistency, speed and reduced costs.
- CloudStack deployments are now API-driven and automated, cutting down the time needed for deployments significantly.
Using AWS CloudFormation for AWS Multi-AZ VPC DeploymentSantanu Dey
This document describes an automated and highly available deployment of a PHP forum application called myBB on AWS using CloudFormation. The infrastructure includes a multi-AZ cluster of auto-scaling web servers behind an ELB, a multi-AZ RDS database, and all resources are deployed within a dedicated VPC. The deployment is designed to be fully configurable, scripted, and provide automated provisioning, updates, deletion and status checks through the command line. Monitoring of all resources is also enabled through CloudWatch.
This document summarizes a presentation about the open source CloudStack cloud computing platform. CloudStack provides tools for provisioning and managing virtual infrastructure as a service, including APIs for self-service provisioning, distributed management of compute, storage and networking resources, and high availability features. The presentation outlines CloudStack's history and goals of multi-tenancy, broad hardware support, orchestration of resources behind firewalls, and scalability. It describes key CloudStack components and features such as the management server, domains and users, hypervisor and storage support, resource allocation policies, and networking functionality.
If you are considering a lift-and-shift from on-prem to public cloud, this talk is for you. Our team runs a centralized build farm for Nokia's software division. The build farm consists of a fleet of Jenkins Masters, a Kubernetes cluster, artifact storage, and various back-office services for monitoring and automation. This talk gives an overview of how we migrated our build farm from an on-prem OpenStack-based datacenter to AWS. It was a successful migration, but we made several mistakes along the way and would like to share what we learned.
Stack: Ansible, AWX, Terraform, Jenkins, Artifactory, Prometheus, Grafana, Elasticsearch, Kubernetes, AWS EKS
https://cfp.cfgmgmtcamp.be/2020/talk/EGJCKT/
Multi cloud network leveraging sd-wan reference architectureMatsuo Sawahashi
A lot of clients use multiple public clouds as a result of selecting a cloud that meets their requirements.
In connecting on-premise DCs and clouds, as a result of connecting with individual lines, it has become a complicated, lacking flexibility, and high cost network.
This presentation produces a simple and flexible with low cost multi-cloud networking reference architecture leveraging a cloud exchange service with SD-WAN (Software Defined Wide Area Network).
This document discusses setting up a private cloud and compares it to public cloud options. It defines cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then describes private, public, hybrid, and community cloud deployment models. The document focuses on setting up a private IaaS cloud using Ubuntu Enterprise Cloud (UEC) to provide infrastructure on an organization's own data centers. It notes the prerequisites for private cloud, and recommends also implementing a PaaS on top of the IaaS for a more complete platform to develop cloud native applications.
AWS re:Invent 2016 - Scality's Open Source AWS S3 ServerScality
Presented by Giorgio Regni, CTO
Try Scality S3 Server Today!
https://s3.scality.com/
http://www.scality.com/scality-s3-server/
https://hub.docker.com/r/scality/s3server/
The document discusses cloud computing models, providers, and benefits. It explores cloud computing definitions, models including IaaS, PaaS, and SaaS. The top cloud providers of AWS, Microsoft Azure, and Google Cloud are examined. Use cases for big data, media services, and more are reviewed. Moving workloads to the cloud involves assessing application readiness, security, costs, company culture, and market maturity. Specific AWS services like S3, EC2, RDS, VPC, IAM, CloudWatch, Elastic BeanStalk, and CloudFormation are covered. The presentation concludes that the cloud provides business agility and is an unstoppable technology trend.
An overview of running Oracle Database, Fusion Middleware and Oracle Applications on AWS. Covers licensing, pricing, support, security, networking, Amazon VPC, Amazon EC2, Amazon EBS, use cases, and customer successes.
Multi-Cloud Orchestration for Kubernetes with Cloudify - Webinar PresentationCloudify Community
Watch the webinar at:
http://cloudify.co/webinars/multi-cloud-orchestration-kubernetes
Tune in as we unveil the new capabilities for maximizing use of Kubernetes with the new Cloudify Kubernetes Plugin, and the new Cloudify Kubernetes provider. Using Kubernetes with Cloudify has never been easier or more powerful, as you can now easily provision workloads on both cloud based VM’s and containers, or have total control and flexibility by using Cloudify as a Kubernetes IaaS.
Serverless design considerations for Cloud Native workloadsTensult
We have built a news website with more than a billion views per month and we are sharing the learnings from that experience covering Serverless architectures, Design considerations, and Gotchas.
Reducing Snowflakes with Automatic Deployments via Lighthouse by Matthew IversonInfluxData
In this talk we are going to go through the journey that Optum (a Division of UnitedHealth Group) took with its automation in deploying Telegraf, InfluxDB and Lighthouse at scale. With any large enterprise, scale ends up being a critical piece to consider with any item. Lighthouse was developed in-house to control what configurations, versions and plugins go out to each individual server deployed with any of the UnitedHealth Group datacenters. It also gives them the ability to dynamically change items and have configurations rolled out within 30 minutes without ever touching a server.
Build a Cloud Render-Ready InfrastructureAvere Systems
Webinar presented September 8, 2015
Rendering applications place high-demands on both compute and storage in visual effects infrastructures. With peaks and valleys in the workflow being the norm, leading VFX creators look to the cloud to build infrastructures that provide flexibility to meet ongoing IT management challenges. In this webinar, you’ll hear from industry innovators about the advantages of cloud rendering and how VFX IT leaders are designing this on-demand solution with Avere Systems and Google Cloud Platform. Designed for CTOs, information systems directors, systems engineers and administrators, the content will discuss the initial steps and technical insights of a render-ready hybrid cloud IT architecture.
This document provides guidance on deploying Helix Core, a version control system, on Amazon Web Services (AWS). It discusses example architectures like using multiple availability zones for high performance and reliability. It also covers setting up virtual private clouds (VPCs) for security, using placement groups for continuous integration/delivery, storage options, and advanced topologies. The document concludes by discussing hybrid deployments, compliance, and options for managing Helix Core deployments through Assembla which specializes in hosting version control systems on AWS.
The document discusses how content delivery networks (CDNs) use traffic engineering and DNS-based mapping to direct user requests to optimal edge servers. It provides examples of Akamai's global infrastructure and mapping techniques. Key points made include that CDNs have no backbone and operate as independent clusters, and that BGP configurations between networks may not achieve the intended traffic steering results for CDNs. Cooperation between networks and CDNs is suggested to optimize traffic patterns.
The document discusses rendering visual effects and animation at scale using Amazon Web Services (AWS). It provides examples of companies using AWS for rendering including theme parks, gaming, and manufacturing. It then discusses the workflow components of VFX/animation rendering and challenges of on-premise rendering capacity. The document outlines how AWS provides scalability and faster outputs through rendering in the cloud. It discusses licensing models for cloud rendering, shared file systems, managing cloud infrastructure, and benchmarks showing improved performance of cloud rendering over on-premise. Overall, the document examines the state of cloud rendering on AWS and trends toward more workloads moving fully to the cloud.
GPU Renderfarm with Integrated Asset Management & Production System (AMPS)Budianto Tandianus
This document describes a GPU renderfarm system integrated with an asset management and production system (AMPS) to efficiently manage rendering assets and accelerate the rendering process for CG movie production. The system allows artists around the world to upload and manage assets through AMPS. Rendering jobs are submitted online to a GPU renderfarm and monitored. Experiments showed nearly linear speedups from adding more GPU nodes, with render time decreasing from over 5 hours on one GPU to under 1.5 hours on two nodes with six GPUs total. Future work includes direct job submission from authoring tools and support for more tools, renderers, and heterogeneous renderfarm configurations.
ShapeBlue is a company that specializes in building public and private clouds using CloudStack. The document discusses several new features in CloudStack version 4.13 and 4.14 including constrained custom offerings, unmetered networks, OVA appliance support, zone-specific disk and compute offerings, hereditary tags on recurring snapshots, improved UI branding, and shared template support in the UI. It also outlines ShapeBlue's customers and provides an overview of backup and recovery functionality planned for CloudStack.
For the last three years, our DevOps tiger team has focused on moving towards full infrastructure automation using the cloud, software defined networks and infrastructure as code for both our internal IT, and for multiple CSRA customers at federal agencies. We've focused our journey on automating manual processes and moving at the speed of culture. Through that experience we have learned many realities as well as techniques that we plan to share so you can make your own transformation to this new model in your organization
CloudStack EU User Group - Making stuff better through CloudStackShapeBlue
The document discusses using CloudStack to deploy virtual Mitel phone systems for customers. Key points include:
- The company previously hosted Mitel systems manually on VMware which required significant resources.
- They migrated to hosting Mitel systems on CloudStack for improved automation, consistency, speed and reduced costs.
- CloudStack deployments are now API-driven and automated, cutting down the time needed for deployments significantly.
Using AWS CloudFormation for AWS Multi-AZ VPC DeploymentSantanu Dey
This document describes an automated and highly available deployment of a PHP forum application called myBB on AWS using CloudFormation. The infrastructure includes a multi-AZ cluster of auto-scaling web servers behind an ELB, a multi-AZ RDS database, and all resources are deployed within a dedicated VPC. The deployment is designed to be fully configurable, scripted, and provide automated provisioning, updates, deletion and status checks through the command line. Monitoring of all resources is also enabled through CloudWatch.
This document summarizes a presentation about the open source CloudStack cloud computing platform. CloudStack provides tools for provisioning and managing virtual infrastructure as a service, including APIs for self-service provisioning, distributed management of compute, storage and networking resources, and high availability features. The presentation outlines CloudStack's history and goals of multi-tenancy, broad hardware support, orchestration of resources behind firewalls, and scalability. It describes key CloudStack components and features such as the management server, domains and users, hypervisor and storage support, resource allocation policies, and networking functionality.
If you are considering a lift-and-shift from on-prem to public cloud, this talk is for you. Our team runs a centralized build farm for Nokia's software division. The build farm consists of a fleet of Jenkins Masters, a Kubernetes cluster, artifact storage, and various back-office services for monitoring and automation. This talk gives an overview of how we migrated our build farm from an on-prem OpenStack-based datacenter to AWS. It was a successful migration, but we made several mistakes along the way and would like to share what we learned.
Stack: Ansible, AWX, Terraform, Jenkins, Artifactory, Prometheus, Grafana, Elasticsearch, Kubernetes, AWS EKS
https://cfp.cfgmgmtcamp.be/2020/talk/EGJCKT/
Multi cloud network leveraging sd-wan reference architectureMatsuo Sawahashi
A lot of clients use multiple public clouds as a result of selecting a cloud that meets their requirements.
In connecting on-premise DCs and clouds, as a result of connecting with individual lines, it has become a complicated, lacking flexibility, and high cost network.
This presentation produces a simple and flexible with low cost multi-cloud networking reference architecture leveraging a cloud exchange service with SD-WAN (Software Defined Wide Area Network).
This document discusses setting up a private cloud and compares it to public cloud options. It defines cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then describes private, public, hybrid, and community cloud deployment models. The document focuses on setting up a private IaaS cloud using Ubuntu Enterprise Cloud (UEC) to provide infrastructure on an organization's own data centers. It notes the prerequisites for private cloud, and recommends also implementing a PaaS on top of the IaaS for a more complete platform to develop cloud native applications.
AWS re:Invent 2016 - Scality's Open Source AWS S3 ServerScality
Presented by Giorgio Regni, CTO
Try Scality S3 Server Today!
https://s3.scality.com/
http://www.scality.com/scality-s3-server/
https://hub.docker.com/r/scality/s3server/
The document discusses cloud computing models, providers, and benefits. It explores cloud computing definitions, models including IaaS, PaaS, and SaaS. The top cloud providers of AWS, Microsoft Azure, and Google Cloud are examined. Use cases for big data, media services, and more are reviewed. Moving workloads to the cloud involves assessing application readiness, security, costs, company culture, and market maturity. Specific AWS services like S3, EC2, RDS, VPC, IAM, CloudWatch, Elastic BeanStalk, and CloudFormation are covered. The presentation concludes that the cloud provides business agility and is an unstoppable technology trend.
An overview of running Oracle Database, Fusion Middleware and Oracle Applications on AWS. Covers licensing, pricing, support, security, networking, Amazon VPC, Amazon EC2, Amazon EBS, use cases, and customer successes.
Multi-Cloud Orchestration for Kubernetes with Cloudify - Webinar PresentationCloudify Community
Watch the webinar at:
http://cloudify.co/webinars/multi-cloud-orchestration-kubernetes
Tune in as we unveil the new capabilities for maximizing use of Kubernetes with the new Cloudify Kubernetes Plugin, and the new Cloudify Kubernetes provider. Using Kubernetes with Cloudify has never been easier or more powerful, as you can now easily provision workloads on both cloud based VM’s and containers, or have total control and flexibility by using Cloudify as a Kubernetes IaaS.
Serverless design considerations for Cloud Native workloadsTensult
We have built a news website with more than a billion views per month and we are sharing the learnings from that experience covering Serverless architectures, Design considerations, and Gotchas.
This document introduces core concepts of AWS through a sample standard web architecture. It discusses what AWS is, how and why Amazon launched it, and provides examples of key AWS services like VPC, EC2, EBS, ELB, and managed services. It also covers AWS architecture concepts like regions, availability zones, and infrastructure as code.
This is a presentation based on the 2012 R2 generation of the Microsoft Cloud OS, including Microsoft Azure, Windows Server 2012 R2, Hyper-V, and System Center 2012 R2. It spans Microsoft public cloud IaaS, partner operated public cloud, and private cloud.
This document discusses deploying microservices to AWS using containers and Kubernetes. It describes using EKS to run a Kubernetes cluster on AWS, deploying microservices as Docker containers to EKS, and implementing continuous integration/delivery pipelines with GitLab to build, test, and deploy updates. Frontend applications are deployed to S3 and backend services use technologies like EC2, ECS, Lambda, RDS, and API Gateway. The case study example shows building an IoT platform on this infrastructure with microservices for devices, processes, customers etc. deployed on EKS behind an ALB.
Building a multi-tenant cloud service from legacy code with Docker containersaslomibm
A reusable architectural pattern to migrate legacy application to a cloud service. The architecture pattern can be used by other legacy applications that need to migrate to cloud. The architecture was validated by the Beta release of the IBM Bluemix Workflow service and Docker containers were key capability to manage separate workflow engines for each tenant combined with cloud database for persistence layer and a content-based routing.
When an Auto Scaling group is first created with a minimum of 3 and maximum of 5 instances, Auto Scaling will initially launch 3 instances to satisfy the minimum capacity setting.
So in this case, the initial number of instances launched by Auto Scaling when configuring the group would be 3.
Cloud computing allows users to access data and programs over the internet rather than on a local hard drive. Amazon Web Services (AWS) is a major provider of cloud computing infrastructure and services. A case study describes how Netflix uses AWS to host its video streaming platform, taking advantage of AWS's scalable and cost-effective resources. The document discusses concepts of cloud computing and outlines some of AWS's core services like EC2, S3, and advantages they provide to users.
Multi-Cloud Orchestration for Kubernetes with CloudifyCloudify Community
This presentation details Cloudify's Kubernetes plugin as well as Kubernetes Provider, offering complete integration with K8s and delivering multi-cloud container-based orchestration.
Deck presented in Cloud Foundry Asia Summit, which introduces our work collaboration with China Mobile to introduce Cloud Foundry to their OpenStack. We create our service marketplace for integrating existing efforts in OpenStack, public cloud services, as well as the individual contributors.
re:Invent 2018 re:Cap for Toronto AWS User GroupDaniel Zivkovic
Not able to make it to AWS re:Invent this year in Las Vegas (Nov. 26-30)? Don't you worry, my fellow Onicans and I got you covered!
Here are the slides from the final Toronto AWS Users Group Meetup of 2018 (www.meetup.com/Toronto-AWS-Users-United) where we highlighted the top announcements and did a deep dive into a few (to us) most interesting new initiatives.
Embracing containers doesn't mean diving into complexities. It's about harnessing simplicity to deliver software efficiently, securely, and reliably.
With the right tools, we can turn the cloud into a clear sky.
Automation Hour 1/28/2022: Capture User Feedback from AnywhereLynda Kane
Slide Deck from Automation Hour 1/28/2022 presentation Capture User Feedback from Anywhere presenting setting up a Custom Object and Flow to collection User Feedback in Dynamic Pages and schedule a report to act on that feedback regularly.
Hands On: Create a Lightning Aura Component with force:RecordDataLynda Kane
Slide Deck from the 3/26/2020 virtual meeting of the Cleveland Developer Group presentation on creating a Lightning Aura Component using force:RecordData.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Automation Dreamin' 2022: Sharing Some Gratitude with Your UsersLynda Kane
Slide Deck from Automation Dreamin'2022 presentation Sharing Some Gratitude with Your Users on creating a Flow to present a random statement of Gratitude to a User in Salesforce.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Learn the Basics of Agile Development: Your Step-by-Step GuideMarcel David
New to Agile? This step-by-step guide is your perfect starting point. "Learn the Basics of Agile Development" simplifies complex concepts, providing you with a clear understanding of how Agile can improve software development and project management. Discover the benefits of iterative work, team collaboration, and flexible planning.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
"Rebranding for Growth", Anna VelykoivanenkoFwdays
Since there is no single formula for rebranding, this presentation will explore best practices for aligning business strategy and communication to achieve business goals.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.