Ken Owens, the CTO of Cisco Intercloud Services, presented on Cisco's migration from MapReduce jobs to Spark jobs for processing customer interaction data. The document discussed Cisco's need to embrace both traditional and hyperscale application deployment across data centers, clouds, and edges. It also covered Cisco's analysis platform requirements, AWS and Cisco Intercloud sizing comparisons, and performance results from testing the migration of MapReduce jobs to Spark on the Cisco Intercloud.
CWIN17 london becoming cloud native part 2 - guy martin docker
This document discusses how organizations can become cloud native by embracing the full opportunity from cloud. It identifies six key steps: 1) delivering business visible and impactful benefits, 2) technical solutions that deliver the business case, 3) empowering a dedicated cloud services team, 4) creating a cloud service vending machine, 5) establishing a blueprint for integrating cloud into existing IT, and 6) implementing automated application and infrastructure pipelines. It then discusses how Docker can help organizations modernize traditional applications and build a secure software supply chain through containerization.
Shay Naeh, Senior Architect in the Cloudify CTO Office's talk from Open Networking Summit Europe 2018. Talking open source edge networking, federated Kubernetes and cloud native stacks - and how to truly achieve an open edge stack.
Cloud is a style of computing where scalable and elastic IT-related capabilities are provided as a service using Internet technologies. WSO2 delivers one of the best Public Cloud, Managed Cloud and Private Cloud offerings with world renowned WSO2 middleware platform. WSO2 middleware stack is built from ground up with an open architecture for supporting cloud native features such as multi-tenancy, cluster discovery, artifact distribution, dynamic load balancing, autoscaling & monitoring to be able to run on any PaaS. WSO2 is now innovating on delivering a lightweight, ultra fast Gateway and a Microservices Framework for providing unprecedented agility and scalability in the cloud with Docker and Kubernetes.
In this session Imesh will walk you through WSO2 Cloud strategy on delivering heterogeneous PaaS offerings, managed and public cloud platforms for building on-premise, public and hybrid cloud solutions.
Comparing Microsoft SQL Server 2019 Performance Across Various Kubernetes Pla...
With the growing adoption of Kubernetes, organizations want to take advantage of containerized Microsoft SQL Server 2019 to optimize transactional performance and accelerate time-to-insights from their business-critical data. However, as enterprises embrace hybrid cloud strategy, they need to consider several aspects based on the performance, cost and data protection requirements for running enterprise-grade SQL Server databases.
In this webinar, we will compare and contrast various cloud-native platforms for SQL Server that would help CIOs, DevOps engineers, database administrators and applications architects to determine the most suitable platform that fits their business needs.
Join us as we explore some exciting results from a recent performance benchmark study conducted by McKnight Consulting Group, an independent consulting firm, to compare the performance of Microsoft SQL Server 2019 on the best possible configurations of the following Kubernetes platforms:
Diamanti Enterprise Kubernetes Platform
Amazon Web Services Elastic Kubernetes Service (AWS EKS)
Azure Kubernetes Service (AKS)
Topics will include:
Platform considerations and requirements for running Microsoft SQL Server 2019
Performance comparison and analysis of running SQL Server on various platform
Best practices for running containerized SQL Server databases in Kubernetes environment
Join Datadog for a webinar on monitoring Kubernetes with a focus on Amazon EKS. You'll learn how to get the most out of Datadog's intuitive platform and EKS's unique capabilities, including:
How to monitor metrics, logs and traces from your EKS environment
How to test the usability of your environment with features such as adaptive Browser Tests and globally available Real User Monitoring
How to find and fix user-facing issues with synthetic monitoring features like adaptive Browser Tests and globally available Real User Monitoring
Orchestrating stateful applications with PKS and Portworx
This document provides an overview of Portworx, including:
1. Portworx is a leader in providing stateful container orchestration that works across any cloud or scheduler.
2. It has an experienced team and investors, with headquarters in Los Altos, CA and 70 employees globally.
3. Portworx allows applications to run across different infrastructure types and clouds with a portable cloud stack that provides high availability, replication, security and data mobility features.
This document summarizes Scott Johnston's keynote at a Docker event. It discusses Docker's modernization journey program which helps customers modernize traditional applications through partnerships. It provides examples of modernization projects with the MTA program that reduced costs by 50% while improving portability, agility and security. The keynote outlines Docker's incremental approach and working with customers and partners at their own pace on their modernization journey.
Building Cloud Native Applications Using Azure Kubernetes Service
This document provides an overview of building cloud-native applications using Azure Kubernetes Service (AKS). It discusses key concepts like containers, Docker, container registries, Kubernetes, and AKS. It also covers modern application architecture principles and 12-factor applications. Additionally, it defines common Kubernetes objects like pods, services, deployments and explains how to secure applications and monitor clusters deployed to AKS. The document recommends getting started with AKS by deploying sample applications from Azure DevOps to an AKS cluster created in the Azure portal or with the Azure CLI.
The document discusses the OpenStack Kilo release from the OpenStack Foundation. Some key points:
- Kilo aimed to create a stable core platform for interoperability and integrating new technologies.
- It focused on defining stable core services and saw key growth in integrated projects like Ironic for bare-metal provisioning.
- Major components like Nova, Keystone, Glance, Cinder, Neutron, Ceilometer, and Horizon received new features, improvements, and bug fixes related to areas like performance, security, manageability and advanced networking services.
- The discussion section raises questions about factors that would motivate upgrading to Kilo like improved stability, performance and flexibility, and challenges that may come with
Edge can be divided into the Device Edge and the Infrastructure Edge. This presentation discusses how to leverage the Infrastructure edge in modern software architecture.
The value of Machine Learning researching malware is as important as the human experience. This presentation outlines why Data Driven Security is more effective than traditional research methodologies, as it combines data, human experience and logic made by machines to define the verdict. The audience is exposed to the background, why logic created by Machine Learning algorithms is defined ‘optimal’, in the sense of a mathematical reflection of the data and labels collected over time.
Cloud-Native Patterns and the Benefits of MySQL as a Platform Managed Service
You can’t have cloud-native applications without a modern approach to databases and backing services. Data professionals are looking for ways to transform how databases are provisioned and managed.
In this webinar, we’ll cover practical strategies you can employ to deliver improved business agility at the data layer. We’ll discuss the impact that microservices are having in the enterprise, and what this means for MySQL and other popular databases. Join us and learn the answers to these common questions:
● How can you meet the operational challenge of scaling the number of MySQL database instances and managing the fleet?
● Adding to this scale challenge, how can your MySQL instances maintain availability in a world where the underlying IT infrastructure is ephemeral?
● How can you secure data in motion?
● How can you enable self-service while maintaining control and governance?
We’ll cover these topics and share how enterprises like yours are delivering greater outcomes with our Pivotal Platform managed MySQL.
Now you can scale without fear of failure.
Presenters:
Judy Wang, Product Management
Jagdish Mirani, Product Marketing
Bringing Cloud Native Innovation to the Enterprise
As businesses strive to innovate while aiming to reduce risk, IT has become more critical to the success of the business than ever before. In this session, Nick Barcet, Senior Director of Product Management for OpenStack at Red Hat, explains the importance of an IT evolution to modernize data center infrastructure through a culture, process, and technology transformation. Learn what’s driving customer success around OpenStack and how Red Hat is collaborating within the community to provide businesses with the modernized infrastructure they need
DigitalOcean transitioned from inconsistent deployment tools to using Kubernetes for container orchestration. This improved their ability to deploy new services from hours to minutes. They customized Kubernetes by focusing on stateless services, declarative deployments, and abstracting operational concerns. They created "docc" to simplify Kubernetes usage. It allows describing applications and infrastructure through manifests. Docc helped deploy 50 applications in 6 months and powered an internal hackathon. Lessons included keeping up with Kubernetes' rapid changes and automating cluster management. They will invest in service meshes, network policies, and secure secret storage.
Using cloud-native application services is easy, it “just works”. Many customers choose them without giving it a second thought. However, these app services vary from cloud to cloud, with differing levels of quality and numbers of features making visibility and control inconsistent across clouds.
And then there is cost…it’s hard to know what your deployment is going to cost until after it’s been built. Often the services must be compiled in a piecemeal fashion and many products carry bloated code that increases costs.
Finally, security is often an afterthought. Moreover, SecOps teams struggle to keep up with the breakneck app release cadence that has become typical. Often they are seen as DevOps viewing them as a major constraint on the ability to deliver software quickly.
In this workshop, we showcase the NGINX solutions for cloud native Kubernetes that will allow you to:
- Reduce tool sprawl and provide a standard set of services
- Control costs with lightweight and easy solutions
- Bring teams together with automation and self‑service capabilities
Cloud Native Security: New Approach for a New Reality
Tsvi Korren,
VP of Product Strategy at Aqua Security CISSP, has been an IT security professional for over 25 years. In previous positions at DEC and CA Inc., he consulted with various industry verticals on the process and organizational aspects of security. As the VP of Product Strategy at Aqua, he is tasked with delivering commercial and open source solutions that make Cloud Native workloads the most secure, compliant and resilient application delivery platform.
The document discusses Cisco's Hadoop as a service offering on their Intercloud platform. Some key points:
- Cisco provides managed Hadoop, including Cloudera's distribution, on optimized instances with local storage and object storage. This offers a scalable, reliable, and secure environment for Hadoop workloads.
- Use cases discussed include predictive maintenance using IoT data and analyzing customer journeys across multiple channels.
- A pilot test showed Cisco's platform could process over 100 million records from production data across various Hadoop jobs.
- Cisco also discusses their data virtualization product CiscoDV, which can integrate data across on-premises, cloud sources on Cisco and AWS.
-
Cisco at VMworld 2015 - Cisco UCS as the Foundation for Software-Defined Data...
IT is in the midst of a dramatic shift to the mobile-cloud era, one in which IT services can be consumed on-demand across the enterprise and in hybrid and public clouds. Tjerk Bijlsma will share the latest Cisco Unified Computing System (Cisco UCS) innovations that can help you shape your Software-Defined Data Center, radically simplifying IT while delivering services at the speed of today's business.
During this session you will learn about:
Cisco's comprehensive architectural approach to enable next wave of IT convergence that includes VMware vSAN and comprehensive vRealize integration as part of the SDDC.
Innovations in Cisco Data Center portfolio including Cisco UCS and Nexus integrations with VMware solutions.
Solutions for virtualized environments for Converged and Hyper Converged systems including FlexPod, VersaStack, Vblock, vSAN, Simplivity, StorMagic and more.
L'azienda è più agile? Tutto merito del Data Center
The document discusses Cisco's unified computing system (UCS) and how it provides a flexible, integrated intelligent infrastructure for data centers. It highlights key benefits of UCS such as simplified management, reduced costs, ability to evolve with business needs, and optimized performance for virtualization. UCS combines computing, networking, management, and storage access into a single integrated architecture to reduce complexity and improve agility.
Joe Onisick, Principal Engineer, Cisco discusses building the right network and understanding different overlay approaches at Cisco Connect Toronto 2015.
Cisco Connect Halifax 2018 Cisco dna - deeper dive
This document provides a summary of a session on Cisco's Digital Network Architecture. The session discusses how Cisco's latest advances in programmable ASIC hardware and software-defined technologies are driving innovations in their Catalyst 9000 switches and solutions like Encrypted Traffic Analytics and Software-Defined Access. It outlines how the session will provide insight into Cisco's ASIC design process and the capabilities of their latest switching silicon. The session aims to show Cisco's evolution from application-specific integrated circuits to advanced graphical user interfaces that enable customers to more quickly innovate and reduce costs with solutions enabled by their Digital Network Architecture.
Application Centric Infrastructure (ACI), the policy driven data centre
Mike Herbet, Principal Engineer, Cisco, Dave Cole, Consulting Systems Engineer, Cisco, Sean Comrie, Technical Solutions Architect, Cisco focused on the application centric infrastructure (ACI) at Cisco Connect Toronto.
Presentation data center transformation cisco’s virtualization and cloud jo...
The document discusses Cisco's journey towards virtualization and cloud computing. It describes Cisco's global data center strategy, which includes building a new world-class data center in Allen, Texas and developing a cloud strategy and services called CITEIS. CITEIS provides infrastructure as a service using Cisco UCS, Nexus switches, and other Cisco technologies to enable automated, self-service provisioning and elastic infrastructure capacity.
Cisco Virtualized Multi-tenant Data Center solution (VMDC) is an architectural approach to IT which delivers a Cloud Ready Infrastructure. The architecture encompasses multiple systems and functions defining a standard framework for an IT organization. Standardization allows the organization to achieve operational efficiencies, reduce risk and achieve cost reductions while offering a consistent platform for business.
Migrating from VMs to Kubernetes using HashiCorp Consul Service on Azure
DevOps tools became very popular with the adoption of public cloud, but Operational teams now realize that their benefits can be extended to enterprise data centers. In reality, cloud native tools can help bridge public clouds and private data centers by enabling a common framework to manage applications and their underlying infrastructure components.
In this session you’ll learn about the latest Cisco ACI integrations with Hashicorp Terraform and Consul to deliver a powerful solution for end-to-end on-prem and cloud infrastructure deployments.
Cisco Connect 2018 Indonesia - software-defined access-a transformational ap...
The document discusses Cisco's Software Defined Access (SDA) and intent-based networking solutions. It highlights how SDA and the Cisco DNA Center simplify network design, provisioning, policy implementation and assurance through automation and analytics. Traditional networks are complex to manage and secure, while SDA provides a more flexible, software-driven approach through centralized management and segmentation based on user identity rather than network topology.
This document provides an overview and summary of Cisco's Data Center networking and storage solutions, with a focus on the new Cisco MDS 9710 Director. Some key points:
- Cisco offers a multi-protocol portfolio including Fibre Channel, FCoE, and IP networking solutions to address growing data and connectivity demands in modern data centers.
- The Cisco MDS 9710 is the newest storage director that provides the highest scalability, availability, and investment protection in the industry for large scale data centers.
- It supports up to 384 line-rate 16Gbps Fibre Channel ports or 48-port 10GbE FCoE modules in a single chassis. This provides 3 times the performance of competing
Cisco Connect Toronto 2018 sd-wan - delivering intent-based networking to t...
This document discusses Cisco SD-WAN and its ability to deliver intent-based networking to branches and the WAN. It begins by noting the business challenges of traditional network architectures in supporting modern needs around mobility, cloud applications, and security. It then introduces Cisco SD-WAN as a software-defined solution that provides automated, predictive, and business-intent driven networking through centralized control, application-aware policies, hybrid WAN transport, and integrated security and analytics capabilities. Key components of the Cisco SD-WAN architecture are also summarized, including the data, control, management, and orchestration planes.
Jacob Bogie, Advisory Platform Architect explains how Pivotal's PKS abstracts the complexity of tackling Data Gravity, Kubernetes, and how it relates to the presentations of our partners Yugabyte, Portworx, SnappyData, Crunchy Data, and Confluent.
This document discusses why cloud native computing matters and provides three case studies. It begins by explaining how infrastructure is changing with the rise of containerization solutions in the 2010s. It then discusses why people use cloud native technologies because they work well and have a great community behind them. Three case studies are presented where companies moved workloads to cloud native solutions on Kubernetes to increase agility, reduce costs, and improve developer productivity. The document concludes by noting that while technology challenges can be solved, changing organizational culture can be the hardest challenge to address.
Cloud 2.0 - How Containers, Microservices and Open Source Software are Redefi...Mark Hinkle
Led by the rocket like success of Amazon Web Services cloud computing is a paradigm shift in the way we host and deploy infrastructure. Organizations are consuming cloud infrastructure across multiple cloud providers both inside their data center and the data centers of others. The advent of highly portable workloads via containers (e.g. Docker) and discrete units of computing delivered by microservices are enabling organizations (like Netflix) to deploy complex multi-layered products and services at breakneck speeds.
This talk will give an overview of the major cloud services and the open source software (e.g. OpenStack, Apache CloudStack) that can be used to deliver and manage cloud computing infrastructure(e.g. Puppet, Chef, Ansible). The discussion will cover the evolution of cloud computing and how that sets the stage for realizing the agility, flexibility and power of cloud computing.
Attendees should expect to learn about the leading technologies in cloud computing, strategies for using open source software to create/manage cloud computing services and to gain an understanding how current developments are providing a way to create a single cloud fabric that best serves their individual needs.
CWIN17 london becoming cloud native part 2 - guy martin dockerCapgemini
This document discusses how organizations can become cloud native by embracing the full opportunity from cloud. It identifies six key steps: 1) delivering business visible and impactful benefits, 2) technical solutions that deliver the business case, 3) empowering a dedicated cloud services team, 4) creating a cloud service vending machine, 5) establishing a blueprint for integrating cloud into existing IT, and 6) implementing automated application and infrastructure pipelines. It then discusses how Docker can help organizations modernize traditional applications and build a secure software supply chain through containerization.
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018Cloudify Community
Shay Naeh, Senior Architect in the Cloudify CTO Office's talk from Open Networking Summit Europe 2018. Talking open source edge networking, federated Kubernetes and cloud native stacks - and how to truly achieve an open edge stack.
Cloud is a style of computing where scalable and elastic IT-related capabilities are provided as a service using Internet technologies. WSO2 delivers one of the best Public Cloud, Managed Cloud and Private Cloud offerings with world renowned WSO2 middleware platform. WSO2 middleware stack is built from ground up with an open architecture for supporting cloud native features such as multi-tenancy, cluster discovery, artifact distribution, dynamic load balancing, autoscaling & monitoring to be able to run on any PaaS. WSO2 is now innovating on delivering a lightweight, ultra fast Gateway and a Microservices Framework for providing unprecedented agility and scalability in the cloud with Docker and Kubernetes.
In this session Imesh will walk you through WSO2 Cloud strategy on delivering heterogeneous PaaS offerings, managed and public cloud platforms for building on-premise, public and hybrid cloud solutions.
Comparing Microsoft SQL Server 2019 Performance Across Various Kubernetes Pla...DevOps.com
With the growing adoption of Kubernetes, organizations want to take advantage of containerized Microsoft SQL Server 2019 to optimize transactional performance and accelerate time-to-insights from their business-critical data. However, as enterprises embrace hybrid cloud strategy, they need to consider several aspects based on the performance, cost and data protection requirements for running enterprise-grade SQL Server databases.
In this webinar, we will compare and contrast various cloud-native platforms for SQL Server that would help CIOs, DevOps engineers, database administrators and applications architects to determine the most suitable platform that fits their business needs.
Join us as we explore some exciting results from a recent performance benchmark study conducted by McKnight Consulting Group, an independent consulting firm, to compare the performance of Microsoft SQL Server 2019 on the best possible configurations of the following Kubernetes platforms:
Diamanti Enterprise Kubernetes Platform
Amazon Web Services Elastic Kubernetes Service (AWS EKS)
Azure Kubernetes Service (AKS)
Topics will include:
Platform considerations and requirements for running Microsoft SQL Server 2019
Performance comparison and analysis of running SQL Server on various platform
Best practices for running containerized SQL Server databases in Kubernetes environment
Monitoring Your AWS EKS Environment with DatadogDevOps.com
Join Datadog for a webinar on monitoring Kubernetes with a focus on Amazon EKS. You'll learn how to get the most out of Datadog's intuitive platform and EKS's unique capabilities, including:
How to monitor metrics, logs and traces from your EKS environment
How to test the usability of your environment with features such as adaptive Browser Tests and globally available Real User Monitoring
How to find and fix user-facing issues with synthetic monitoring features like adaptive Browser Tests and globally available Real User Monitoring
Orchestrating stateful applications with PKS and PortworxVMware Tanzu
This document provides an overview of Portworx, including:
1. Portworx is a leader in providing stateful container orchestration that works across any cloud or scheduler.
2. It has an experienced team and investors, with headquarters in Los Altos, CA and 70 employees globally.
3. Portworx allows applications to run across different infrastructure types and clouds with a portable cloud stack that provides high availability, replication, security and data mobility features.
DockerCon EU 2017 - General Session Day 2Docker, Inc.
This document summarizes Scott Johnston's keynote at a Docker event. It discusses Docker's modernization journey program which helps customers modernize traditional applications through partnerships. It provides examples of modernization projects with the MTA program that reduced costs by 50% while improving portability, agility and security. The keynote outlines Docker's incremental approach and working with customers and partners at their own pace on their modernization journey.
Building Cloud Native Applications Using Azure Kubernetes ServiceDennis Moon
This document provides an overview of building cloud-native applications using Azure Kubernetes Service (AKS). It discusses key concepts like containers, Docker, container registries, Kubernetes, and AKS. It also covers modern application architecture principles and 12-factor applications. Additionally, it defines common Kubernetes objects like pods, services, deployments and explains how to secure applications and monitor clusters deployed to AKS. The document recommends getting started with AKS by deploying sample applications from Azure DevOps to an AKS cluster created in the Azure portal or with the Azure CLI.
The document discusses the OpenStack Kilo release from the OpenStack Foundation. Some key points:
- Kilo aimed to create a stable core platform for interoperability and integrating new technologies.
- It focused on defining stable core services and saw key growth in integrated projects like Ironic for bare-metal provisioning.
- Major components like Nova, Keystone, Glance, Cinder, Neutron, Ceilometer, and Horizon received new features, improvements, and bug fixes related to areas like performance, security, manageability and advanced networking services.
- The discussion section raises questions about factors that would motivate upgrading to Kilo like improved stability, performance and flexibility, and challenges that may come with
Edge can be divided into the Device Edge and the Infrastructure Edge. This presentation discusses how to leverage the Infrastructure edge in modern software architecture.
The value of Machine Learning researching malware is as important as the human experience. This presentation outlines why Data Driven Security is more effective than traditional research methodologies, as it combines data, human experience and logic made by machines to define the verdict. The audience is exposed to the background, why logic created by Machine Learning algorithms is defined ‘optimal’, in the sense of a mathematical reflection of the data and labels collected over time.
Cloud-Native Patterns and the Benefits of MySQL as a Platform Managed ServiceVMware Tanzu
You can’t have cloud-native applications without a modern approach to databases and backing services. Data professionals are looking for ways to transform how databases are provisioned and managed.
In this webinar, we’ll cover practical strategies you can employ to deliver improved business agility at the data layer. We’ll discuss the impact that microservices are having in the enterprise, and what this means for MySQL and other popular databases. Join us and learn the answers to these common questions:
● How can you meet the operational challenge of scaling the number of MySQL database instances and managing the fleet?
● Adding to this scale challenge, how can your MySQL instances maintain availability in a world where the underlying IT infrastructure is ephemeral?
● How can you secure data in motion?
● How can you enable self-service while maintaining control and governance?
We’ll cover these topics and share how enterprises like yours are delivering greater outcomes with our Pivotal Platform managed MySQL.
Now you can scale without fear of failure.
Presenters:
Judy Wang, Product Management
Jagdish Mirani, Product Marketing
As businesses strive to innovate while aiming to reduce risk, IT has become more critical to the success of the business than ever before. In this session, Nick Barcet, Senior Director of Product Management for OpenStack at Red Hat, explains the importance of an IT evolution to modernize data center infrastructure through a culture, process, and technology transformation. Learn what’s driving customer success around OpenStack and how Red Hat is collaborating within the community to provide businesses with the modernized infrastructure they need
DigitalOcean transitioned from inconsistent deployment tools to using Kubernetes for container orchestration. This improved their ability to deploy new services from hours to minutes. They customized Kubernetes by focusing on stateless services, declarative deployments, and abstracting operational concerns. They created "docc" to simplify Kubernetes usage. It allows describing applications and infrastructure through manifests. Docc helped deploy 50 applications in 6 months and powered an internal hackathon. Lessons included keeping up with Kubernetes' rapid changes and automating cluster management. They will invest in service meshes, network policies, and secure secret storage.
Deploying NGINX in Cloud Native KubernetesKangaroot
Using cloud-native application services is easy, it “just works”. Many customers choose them without giving it a second thought. However, these app services vary from cloud to cloud, with differing levels of quality and numbers of features making visibility and control inconsistent across clouds.
And then there is cost…it’s hard to know what your deployment is going to cost until after it’s been built. Often the services must be compiled in a piecemeal fashion and many products carry bloated code that increases costs.
Finally, security is often an afterthought. Moreover, SecOps teams struggle to keep up with the breakneck app release cadence that has become typical. Often they are seen as DevOps viewing them as a major constraint on the ability to deliver software quickly.
In this workshop, we showcase the NGINX solutions for cloud native Kubernetes that will allow you to:
- Reduce tool sprawl and provide a standard set of services
- Control costs with lightweight and easy solutions
- Bring teams together with automation and self‑service capabilities
Tsvi Korren,
VP of Product Strategy at Aqua Security CISSP, has been an IT security professional for over 25 years. In previous positions at DEC and CA Inc., he consulted with various industry verticals on the process and organizational aspects of security. As the VP of Product Strategy at Aqua, he is tasked with delivering commercial and open source solutions that make Cloud Native workloads the most secure, compliant and resilient application delivery platform.
The document discusses Cisco's Hadoop as a service offering on their Intercloud platform. Some key points:
- Cisco provides managed Hadoop, including Cloudera's distribution, on optimized instances with local storage and object storage. This offers a scalable, reliable, and secure environment for Hadoop workloads.
- Use cases discussed include predictive maintenance using IoT data and analyzing customer journeys across multiple channels.
- A pilot test showed Cisco's platform could process over 100 million records from production data across various Hadoop jobs.
- Cisco also discusses their data virtualization product CiscoDV, which can integrate data across on-premises, cloud sources on Cisco and AWS.
-
Cisco at VMworld 2015 - Cisco UCS as the Foundation for Software-Defined Data...ldangelo0772
IT is in the midst of a dramatic shift to the mobile-cloud era, one in which IT services can be consumed on-demand across the enterprise and in hybrid and public clouds. Tjerk Bijlsma will share the latest Cisco Unified Computing System (Cisco UCS) innovations that can help you shape your Software-Defined Data Center, radically simplifying IT while delivering services at the speed of today's business.
During this session you will learn about:
Cisco's comprehensive architectural approach to enable next wave of IT convergence that includes VMware vSAN and comprehensive vRealize integration as part of the SDDC.
Innovations in Cisco Data Center portfolio including Cisco UCS and Nexus integrations with VMware solutions.
Solutions for virtualized environments for Converged and Hyper Converged systems including FlexPod, VersaStack, Vblock, vSAN, Simplivity, StorMagic and more.
L'azienda è più agile? Tutto merito del Data Center SMAU
The document discusses Cisco's unified computing system (UCS) and how it provides a flexible, integrated intelligent infrastructure for data centers. It highlights key benefits of UCS such as simplified management, reduced costs, ability to evolve with business needs, and optimized performance for virtualization. UCS combines computing, networking, management, and storage access into a single integrated architecture to reduce complexity and improve agility.
Joe Onisick, Principal Engineer, Cisco discusses building the right network and understanding different overlay approaches at Cisco Connect Toronto 2015.
Cisco Connect Halifax 2018 Cisco dna - deeper diveCisco Canada
This document provides a summary of a session on Cisco's Digital Network Architecture. The session discusses how Cisco's latest advances in programmable ASIC hardware and software-defined technologies are driving innovations in their Catalyst 9000 switches and solutions like Encrypted Traffic Analytics and Software-Defined Access. It outlines how the session will provide insight into Cisco's ASIC design process and the capabilities of their latest switching silicon. The session aims to show Cisco's evolution from application-specific integrated circuits to advanced graphical user interfaces that enable customers to more quickly innovate and reduce costs with solutions enabled by their Digital Network Architecture.
Application Centric Infrastructure (ACI), the policy driven data centreCisco Canada
Mike Herbet, Principal Engineer, Cisco, Dave Cole, Consulting Systems Engineer, Cisco, Sean Comrie, Technical Solutions Architect, Cisco focused on the application centric infrastructure (ACI) at Cisco Connect Toronto.
Presentation data center transformation cisco’s virtualization and cloud jo...xKinAnx
The document discusses Cisco's journey towards virtualization and cloud computing. It describes Cisco's global data center strategy, which includes building a new world-class data center in Allen, Texas and developing a cloud strategy and services called CITEIS. CITEIS provides infrastructure as a service using Cisco UCS, Nexus switches, and other Cisco technologies to enable automated, self-service provisioning and elastic infrastructure capacity.
Cisco Virtualized Multi-tenant Data Center solution (VMDC) is an architectural approach to IT which delivers a Cloud Ready Infrastructure. The architecture encompasses multiple systems and functions defining a standard framework for an IT organization. Standardization allows the organization to achieve operational efficiencies, reduce risk and achieve cost reductions while offering a consistent platform for business.
Migrating from VMs to Kubernetes using HashiCorp Consul Service on AzureMitchell Pronschinske
DevOps tools became very popular with the adoption of public cloud, but Operational teams now realize that their benefits can be extended to enterprise data centers. In reality, cloud native tools can help bridge public clouds and private data centers by enabling a common framework to manage applications and their underlying infrastructure components.
In this session you’ll learn about the latest Cisco ACI integrations with Hashicorp Terraform and Consul to deliver a powerful solution for end-to-end on-prem and cloud infrastructure deployments.
Cisco Connect 2018 Indonesia - software-defined access-a transformational ap...NetworkCollaborators
The document discusses Cisco's Software Defined Access (SDA) and intent-based networking solutions. It highlights how SDA and the Cisco DNA Center simplify network design, provisioning, policy implementation and assurance through automation and analytics. Traditional networks are complex to manage and secure, while SDA provides a more flexible, software-driven approach through centralized management and segmentation based on user identity rather than network topology.
This document provides an overview and summary of Cisco's Data Center networking and storage solutions, with a focus on the new Cisco MDS 9710 Director. Some key points:
- Cisco offers a multi-protocol portfolio including Fibre Channel, FCoE, and IP networking solutions to address growing data and connectivity demands in modern data centers.
- The Cisco MDS 9710 is the newest storage director that provides the highest scalability, availability, and investment protection in the industry for large scale data centers.
- It supports up to 384 line-rate 16Gbps Fibre Channel ports or 48-port 10GbE FCoE modules in a single chassis. This provides 3 times the performance of competing
Cisco Connect Toronto 2018 sd-wan - delivering intent-based networking to t...Cisco Canada
This document discusses Cisco SD-WAN and its ability to deliver intent-based networking to branches and the WAN. It begins by noting the business challenges of traditional network architectures in supporting modern needs around mobility, cloud applications, and security. It then introduces Cisco SD-WAN as a software-defined solution that provides automated, predictive, and business-intent driven networking through centralized control, application-aware policies, hybrid WAN transport, and integrated security and analytics capabilities. Key components of the Cisco SD-WAN architecture are also summarized, including the data, control, management, and orchestration planes.
Cisco Digital Network Architecture – Deeper Dive, “From the Gates to the GUICisco Canada
This document provides an overview and agenda for a session on Cisco's Digital Network Architecture. The session will cover industry trends driving digital transformation, Cisco DNA and the importance of flexible hardware, the evolution of application specific integrated circuits (ASICs), DNA/Software-Defined Access, DNA Center, Encrypted Traffic Analytics, and the Catalyst 9000 series of switches. Attendees will learn how Cisco is innovating in silicon and software development and how these innovations are powering new platforms and solutions from the "gates to the GUI." The session aims to provide deeper insight into Cisco's latest switching silicon and how ASICs are designed and built to deliver advanced network capabilities.
Cisco Digital Network Architecture Deeper Dive From The Gates To The GuiCisco Canada
This document provides an overview of a Cisco session on the Cisco Digital Network Architecture. The session will cover Cisco's evolution from silicon gates to graphical user interfaces, including topics like Cisco DNA, Software-Defined Access, DNA Center, Encrypted Traffic Analytics, and the Catalyst 9000 family of switches. The session aims to provide insight into how Cisco is driving innovation through advances in programmable and flexible application specific integrated circuits (ASICs) and how this foundational technology enables new solutions.
Cisco ucs overview ibm team 2014 v.2 - handoutSarmad Ibrahim
The document discusses Cisco's Unified Computing System (UCS) which automates IT processes to support any workload in minutes with lower infrastructure costs. UCS provides unified management, intelligent infrastructure, and unified fabric for superior price/performance. It has benefits beyond efficiency such as more effective IT. UCS has become the fastest growing product in the server market with over 3,850 unique customers and 95% of Fortune 500 companies investing in UCS.
Cisco’s Cloud Strategy, including our acquisition of CliQr Cisco Canada
At Partner Summit we made a series of exciting announcements in our Cloud portfolio, including our acquisition of CliQr. Join us to learn about these new announcements and an understanding of Cisco’s Cloud Strategy.
- How does CliQr fit into our existing Cloud portfolio (Metapod, APIC, Enterprise Cloud Suite, Cloud Consumption-as-a-Service)?
- How does our Cloud portfolio today meet the needs of our customers? What problems are we solving?
- How does our portfolio today position us for the world of Containers and Microservices?
Join us for a presentation of how these announcements fit into our current environment and what they mean to your longer-term strategy.
Cisco Powered Presentation - For CustomersCisco Powered
The document discusses Cisco Powered, a program that provides cloud and managed services through validated partners using Cisco technologies. It highlights key aspects of the Cisco Powered methodology including a broad services portfolio, security everywhere, enabling fast IT, choice of consumption models, services and networks designed together, strategic alignment with ecosystem partners, enterprise-class SLAs, independently validated services, and industry innovation leadership. The document also provides information on finding a Cisco Powered services provider.
Airline Satisfaction Project using Azure
This presentation is created as a foundation of understanding and comparing data science/machine learning solutions made in Python notebooks locally and on Azure cloud, as a part of Course DP-100 - Designing and Implementing a Data Science Solution on Azure.
Amazon Aurora 클러스터를 초당 수백만 건의 쓰기 트랜잭션으로 확장하고 페타바이트 규모의 데이터를 관리할 수 있으며, 사용자 지정 애플리케이션 로직을 생성하거나 여러 데이터베이스를 관리할 필요 없이 Aurora에서 관계형 데이터베이스 워크로드를 단일 Aurora 라이터 인스턴스의 한도 이상으로 확장할 수 있는 Amazon Aurora Limitless Database를 소개합니다.
Amazon DocumentDB(MongoDB와 호환됨)는 빠르고 안정적이며 완전 관리형 데이터베이스 서비스입니다. Amazon DocumentDB를 사용하면 클라우드에서 MongoDB 호환 데이터베이스를 쉽게 설치, 운영 및 규모를 조정할 수 있습니다. Amazon DocumentDB를 사용하면 MongoDB에서 사용하는 것과 동일한 애플리케이션 코드를 실행하고 동일한 드라이버와 도구를 사용하는 것을 실습합니다.
How We Added Replication to QuestDB - JonTheBeachjavier ramirez
Building a database that can beat industry benchmarks is hard work, and we had to use every trick in the book to keep as close to the hardware as possible. In doing so, we initially decided QuestDB would scale only vertically, on a single instance.
A few years later, data replication —for horizontally scaling reads and for high availability— became one of the most demanded features, especially for enterprise and cloud environments. So, we rolled up our sleeves and made it happen.
Today, QuestDB supports an unbounded number of geographically distributed read-replicas without slowing down reads on the primary node, which can ingest data at over 4 million rows per second.
In this talk, I will tell you about the technical decisions we made, and their trade offs. You'll learn how we had to revamp the whole ingestion layer, and how we actually made the primary faster than before when we added multi-threaded Write Ahead Logs to deal with data replication. I'll also discuss how we are leveraging object storage as a central part of the process. And of course, I'll show you a live demo of high-performance multi-region replication in action.
RK Puram @ℂall @Girls ꧁❤ 9873777170 ❤꧂VIP Neha Singla Top Model Safe
StampedeCon 2015 Keynote
1. Ken Owens
CTO Cisco Intercloud Services
07/15/15
How Cisco Migrated from
MapReduce Jobs to Spark
Jobs
1
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Introduction
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Introduction
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Introduction
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Introduction
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Introduction
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Source: IDC 7
30M
New devices
connected
every week
78%
Workloads
processed
in Cloud DCs
by 2018
5TB+
of data per person
by 2020
180B
Mobile apps
downloaded
in 2015
277X
Data created
by IoE devices
v. end-user
The Uber Trend: Exponential Rise in Connectivity
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Exponential Trend
Linear Trend
Disruptive Stress
/Opportunity
Knee of Curve
Exponential Growth Drives Opportunities
Peter Diamandis: BOLD
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When Products Become Cloud-enabled, They Become
10X More Valuable
$23.19
$249.00
$18.01
$199.00
$5.99
$59.99
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SaaS
PaaS IaaS
A Broader Perspective than Hybrid Cloud Is Required…
Data Center Cloud Edge / IoT
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Hyperscale applications serving several
thousands of users very quickly
Traditional enterprise applications
IoE and increasing connectivity driving the need
for such workloads
Hadoop, Mobile back-ends, Gaming, Social
Small (~10%), yet rapidly growing
percentage of applications in the Cloud
ERP, CRM, Applications that leverage
traditional databases
Majority of applications being run
for/by Enterprises today
CIOs Need to Embrace Both Traditional
and Hyperscale Application Deployment
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SaaS
PaaS IaaS
Application Portability and Interoperability Is the Key
Traditional
Applications
ERP, Financial, Client/Server,
CRM, email, …
Cloud Native
Applications
IoT, BigData,Analytics,
Gaming, ...
Data Center Cloud Edge / IoT
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Source: Gartner, Lydia Leong
of CIOs currently
have a second
fast/agile mode
of operation
45%
Traditional
Mode
Requires
Reliability
(ITIL, CMMI, COBIT)
Nonlinear Mode
Accept Instability
(DevOps,
automation,
reusable)
Systems
of
Differentiation
Systems
of
Innovation
Systems
of
Record
Change
Governance
Bimodal IT Is the New Normal
Source: Gartner, Lydia Leong
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Intercloud
The
Intercloud
Web-scale Architecture
API-Driven Automation
Open, Secure, Compliant,
Hybrid IT
Internet
The
Internet
IP Based
Open Standards
World of Isolated Clouds
(2000s)
Individual custom-built clouds
without consistent APIs
Connected for application
acceleration with Open APIs
The Intercloud
Intercloud
Islands of Isolated
PC LAN Networks (1990s)
Multiple LANs using
a multitude of protocols
The Internet
Connected using industry-
standard IP protocol
We Must Connect the Clouds
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Omni-Channel Customer Journeys
Server
Logs
Social
& Chat
Mobile
Event
Streams
Call
Center
S/W
Download
Open Trouble
Ticket
Assign
Engineer
Update
Trouble Ticket
Close Trouble
Ticket
Resolve
Trouble Ticket
Read Support
Documents
View Design
Documents
View Tech
Documents
New
Registration
Bug Search FAQs
Contract
Details
Product
Details
Device
Coverage
Interaction Touch points
Channels
Journey
Case Resolution
Software Upgrade
The customers’ interaction with Cisco across multiple touch points to get the desired business
outcome.
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• Software Upgrades
• Bug Inquiry
• Software Inquiry
• Trouble Ticket Lifecycle
• Device Troubleshooting
• New Registration
• Contract Renewal
• Customer Interest
Analytics
• Customer Experience
Analytics
• Resource Forecasting
• Security and
Compliance
Customer Journeys Behavioral Insights
• Boost Self Service
• Real-time Content
Optimization &
Recommendation
• Context Based
Predictive Alerts
• Implicit Personalization
Impact
Customer Interaction Analytics
From Journey to Outcome…
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Server Logs
Customer Interaction Analytics
Big Data Platform
Synthesize customer journey maps into behavioral insights.
Call Center
Mobility
Social
Event
Streams
Data
Sources
Data
Ingestion
CiscoDV
Kafka
Redis
ETL
Analytics
Model
Build Model
Activity
Refinement
Activity
Synthesis
Synthesized
Insights
Real-time Processing
Batch Analytics
Insight Services
CiscoDV
Interact
ImpalaHive
Pig ES
Zoomdata,Platfora
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AWS Platform
Component Cloud::
Hadoop
(Batch
Analytics)
Cloud::
Queries
(Interactive
Queries)
Cloud::
Streams
(Near Real-
time
Analytics)
Virtual
Machines
30 6 5
AWS
Instance
Sizing
m3.2xlarge c3.xlarge m3.xlarge
Virtual
Cores
8/VM 4/VM 4/VM
RAM 30GB/VM 7.5GB/VM 15GB/VM
Disk 1.5 TB/VM 1.5 TB/VM 1.5 TB/VM
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Case for Cisco Intercloud Services for Analytics…
Cisco Security and Compliance requirements
• Workloads that deal with personally identifiable data and Cisco
confidential content cannot be uploaded to AWS. Cisco internal cloud
solution is a better fit.
Customer journey beyond the enterprise
• Applications are hosted on AWS
• Partner systems hosted on AWS and other cloud providers
Presence in AWS and other cloud services required to support these
scenarios for end-end customer journey insights.
Data virtualization integrated in the CIS Analytics Stack
• Connect data from multiple clouds and multiple big data platforms
Integrated visualization toolset
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CIS Analytics Platform
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CIS Analytics Platform Requirements
Infra Provisioning
Deploy a virtual private cloud (VPC) on CIS with compute, storage and memory requirements comparable to the current
production system.
OpenStack
Icehouse OpenStack with Neutron, Nova, and Swift installed.
Big Data Ecosystem
Cloudera’s Hadoop distribution version CDH 5.1.3., ELK Stack, Apache Kafka and Apache Storm.
Data virtualization & Cloud Integration
Access to data services and data stores via Cisco Data Virtualization
Runtime Services
Foundational PaaS capabilities including SLAs for uptime, performance, latency, data retention, issue escalation and
support priorities, issue resolution, problem management, deployment process, patch management.
API Services
Provide both fine-grained and coarse-grained access to the all service layers of the CIS Analytics Platform. In the hybrid cloud
model it must support interoperability across platform service providers and promote the cloud concepts of extensibility and
flexibility.
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AWS to CIS Migration – Success Criteria
Successful synthesis of customer interaction data
Successful automation of the end-end data process pipeline
Build behavioral insight services
Access to data and services via data discovery and visualization tools
Meet the performance, scale and platform stability requirements
Successful deployment of CiscoDV on CIS
Connect HDFS and Hive DS with CiscoDV via Hive and Impala
Build and expose insight services for consumption by limited users
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AWS and CIS Data Node Sizing Comparison
Hadoop Cluster for Batch and Query Analytics
Node Service AWS Instance Type vCPU Mem Storage
Number of
Data Nodes
Comments
Data Nodes/
Node Master m3.2xlarge 8 30 2x80 GB 30
Each hadoop data node has 1500GB of EBS
available for HDFS storage
AWS Sizing
CCS Sizing
Node Service CCS Instance Type vCPU Mem Storage
Number of
Data Nodes
Comments
Data Nodes/
Node Master GP-2XLarge 8 32 50 35
Each hadoop data node has 1500GB of EBS
available for HDFS storage
Less than AWS sizing (Storage)
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Pilot Test Data
• Test performed on one day’s production data
• Total no. of records processed – 110,852,667
• Total data size – 32GB
• Total no. of M/R jobs in the data pipeline – 17
• Two test cycles
• Cycle 1: Heterogeneous CCS nodes (vCPUs, storage, memory)
• Cycle 2: Homogeneous CCS nodes
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CIS Performance of Batch Analytics – Limited Test
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PoC: Analytics with Spark on CIS
Existing code
Made in Ruby with Wukong to run on Hadoop
A history of changes and modifications
Script-based, steps communicate via intermediary files
Goal
Revise, rethink and reimplement with Spark on CIS
Open for advanced cloud analytics
Improve maintainability by moving away from aging Ruby on Hadoop
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Sessionize
Cleanse
logs
cleanse
private web
decorate
sessionize
(cookie, time)
sessioned
match 1st
(IP, UA, time)
build actions merge
session PSV
add to hivebug tool
first, others, bots
1..7
onlyBots
first
others
private
Main
computation
happens here
cleansed
Pre-process log records (‘cleanse’)
Extract HTTP sessions (‘sessionize’)
Extract user actions, such as ‘search’, ‘download
patch’, ‘open manual’, ‘open a bug’
Ruby: Scripts with temp files
Each box on the figure is a script in a separate file
They pipe Gb of data as input and output
Random matching of nodes to data for sessionizing
Lots of redundant shuffling
Ruby Flow
global sort in time
global group by IP
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Sessionize
Cleanse
logs
cleanse
private web
decorate
sessionize
(cookie, time)
sessioned
match 1st
(IP, UA, time)
build actions merge
session PSV
add to hivebug tool
first, others, bots
1..7
onlyBots
first
others
private
Main
computation
happens here
cleansed
Same flow, but each box is a Java or Scala function
No intermediate temp files
Steps are chained by Spark, often without any need for
intermediate data
If still needed, the data is stored in memory and local
disk as much as possible
Local computation
Cleansing is computed on nodes local to data blocks
(same as Ruby)
Sessions are built per IP
On separate nodes each handling a single IP range
One copied to the node on partition the data remains
local
Spark Flow
global partition by IP
local sort in time
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Volumes
Logs of a single day: 52 Gb
Total of 110 mil records
Where 53 mil records are kept after pre-filtering
Producing over 1 mil user actions
Cluster of 30 nodes
Ruby
Runtime 140 min
Spark
Runtime 7 min (20 times faster )
Runtime comparison
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Extracting sessions means sort in time and group by IP
Ruby:
sorting in time and per-IP grouping is performed across the whole cluster (very bad, lots of IO)
Spark is good at dealing with partitions:
per-IP groups are placed on different machines (partitions)
global sort in time is replaced by many local per-IP sorts done on machines responsible for
extracting sessions for specific groups of IP addressed
Other improvements
Avoid redundant temp files, redundant (de)-serialization of objects (comes with Java/Scala), stages
keep data in memory when possible (comes with Spark)
Cache results of user agent resolution that are heavy on regular expressions
Why?
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Data Virtualization for Intercloud Analytics
Customer Benefits
Discover data beyond the enterprise: Virtual integration that combines traditional
enterprise data, Big Data stores on CIS and AWS, cloud data from SaaS providers and,
Cisco Customers and Partners
Seamless interoperability offers easy access to data across distributed data sources
in the intercloud analytics platform
Universal data governance maximizes enforcement of data security rules
Analytics Data Hubs: Deployment flexibility to build hybrid/virtual sandboxes that
enable nimble data discovery and rapid data analytics to support multiple LOBs
Deliver data to any number of analytics tools.
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Use Case 1: Get Case Interactions
Use Case Description # of cases opened by company X that
are currently open. (other variations
would include cases by company,
trends etc.)
CiscoDV Value CiscoDV enforces data security rules to
restrict access on the intercloud
platform to customer sensitive data.
Data Sources SalesForce
Intercloud Solution CIS CiscoDV service can access the
“sanitized” version of CSOne data
through JDBC from RIDES(SWTG
CiscoDV) API.
Connection Type DV on hybrid cloud Enterprise data
store
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Use Case 2: Get Customer Journey
Use Case Description Customer interactions on the web
pertaining to bug search and case
submission process. Foundational data
can be used to explore trends and feed
into content recommendation models
CiscoDV Value Direct access to Data on CIS Intercloud Analytics
Platform
Data Sources SAS Analytics
Intercloud Solution By direct network access to the Impala
Server, the CIS CiscoDV server
connects to the Impala Service in
Hadoop also on CIS as a Data Source.
SQL Queries configured in CiscoDV
execute Impala queries
Connection Type DV on hybrid cloud VPC Big Data
platform
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Use Case 3: Get Bug Interactions
Use Case
Description
Another foundational data service that provides
a breakdown of customer exposure or interest
in bugs. The service can be refined further to
look at trends specific to a company or a
product for further analytics.
CiscoDV Value Real-time data federation that accesses
extremely large data in CIS Intercloud Analytics
platform and join that with Bug Data accessed
via departmental CiscoDV instance (RIDES)
Data Sources SASA Analytics and QDDTS via RIDES
Intercloud
Solution
By building on the access to the Impala Server,
the DV server can join the Bug Data from the
Enterprise Data Stores with the HDFS data to
provide a federated view.
Connection
Type
DV on hybrid cloud VPC Big Data platform
and Enterprise data store
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CiscoDV on Intercloud Analytics Platform (CIS)
Scenario 1
CIS Cisco DV to Cisco
Enterprise Data Store
Scenario 2
CIS CiscoDV to Impala and
Hive on CIS Intercloud
Analytics Platform
Scenario 3
CIS Cisco DV to Hive on AWS
Big Data Cluster
Scenario1
Scenario 3
Editor's Notes
FABIO – a few items from Pankaj and Liz Monday:
Per the John Chambers slides I sent you Monday night, please be sure to fully address digitization in the opener, so Pankaj can connect to John’s opening remarks.
Set the stage here for what the digital transformation is and why it dries IoE and cloud. Explain where we came from, where we are today – exponential growth and a magnitude of changes still to come.
Please see new VNI, to see if there are any newer/better stats re the Data Center.
Pankaj feels the top 3 data points are ok in this slide, but perhaps we could find better ones for the bottom 2 data points? Maybe uplevel them a bit?
-------------------------------------------------------
The world is changing. The digital transformation is turning traditional business models on their heads. We are seeing unprecedented growth in the explosion of devices and mobile apps and in data utilization.
IoE – IoE devices create 277 times the data that the end user is creating. But only a fraction of it ever reaches the data center. A Boeing 787 for example, generates 40 TB of data per every hour of flight time. But only 0.5 TB is ultimately transmitted to the data center.
Mobility: In 2014, global mobile data traffic grew 1.7x or 69%… In 2014 alone, 77B+ mobile apps downloaded… by 2015 180B apps (233% increase)
Internet… IDC predicts by 2017, there will be 3.6 billion global Internet users… More than 1/2 the world population
Big Data… By 2020 there will be more than 5,000 GB of data for every person on Earth
These massive changes are putting tremendous stress on the data center. The traditional data center model has to evolve in order to meet demand today and into the future.
We know how to fix this
We’re going to do for cloud what we did for data. You couldn’t move data between the networks – they weren’t connected. Cisco unified those worlds
The world of cloud today is a world of isolated clouds. There’s no workload or data portability.
“Amazon is hotel California – you can never leave, and that data is staying there”
Our vision is to connect all these clouds together into the Intercloud - whether private, public , or hybrid through technology and innovation
Intercloud is going to connect these clouds together in the same way we connected data together.
No one cloud model or single cloud approach, such as the massively scalable clouds from Amazon, Google or Microsoft will win alone in this space