Tungsten Fabric provides a network fabric connecting all environments and clouds. It aims to be the most ubiquitous, easy-to-use, scalable, secure, and cloud-grade SDN stack. It has over 300 contributors and 100 active developers. Recent improvements include better support for microservices, containers, ingress/egress policies, and load balancing. It can provide consistent security and networking across VMs, containers, and bare metal.
ONOS: Open Network Operating System. An Open-Source Distributed SDN Operating...ON.LAB
ONOS
Open Network Operating System
An Open-Source Distributed SDN OS
Pankaj Berde, Jonathan Hart, Masayoshi Kobayashi, Pavlin Radoslavov, Pingping Lin, Rachel Sverdlov, Suibin Zhang, William Snow, Guru Parulkar
Sergei Gotchev, Juniper Networks
Juniper Day, Praha, 13.5.2015
Jestliže SlideShare nezobrazí prezentaci korektně, můžete si ji stáhnout ve formátu .ppsx nebo .pdf (kliknutím na tlačitko v dolní liště snímků).
Meshing OpenStack and Bare Metal Networks with EVPN - David Iles, Mellanox Te...OpenStack
Audience Level
Intermediate
Synopsis
The latest SDN revolution is centered on creating efficient virtualized data center networks using VXLAN & EVPN. We will talk about the scale, performance, and cost advantages of using a modern controller-free virtualized network solution built on 100 Gigabit Ethernet switches with hardware based VXLAN Routing. We will explore the ease of automating such a network in an OpenStack environment and take you through a real world use case of using OpenStack Network Node bridging between a bare metal cloud (EVPN) and a fully virtualized cloud environments (orchestrated by Neutron).
Speaker Bio:
David has held leadership roles at 3COM, Cisco Systems, Nortel Networks, and IBM where he promoted advanced network technologies including High Speed Ethernet, Layer 4-7 switching, Virtual Machine-aware networking, and Software Defined Networking.
David’s current focus is on the evolving landscape of data center networking, scale out storage, Open Networking, and cloud computing.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
ONOS: Open Network Operating System. An Open-Source Distributed SDN Operating...ON.LAB
ONOS
Open Network Operating System
An Open-Source Distributed SDN OS
Pankaj Berde, Jonathan Hart, Masayoshi Kobayashi, Pavlin Radoslavov, Pingping Lin, Rachel Sverdlov, Suibin Zhang, William Snow, Guru Parulkar
Sergei Gotchev, Juniper Networks
Juniper Day, Praha, 13.5.2015
Jestliže SlideShare nezobrazí prezentaci korektně, můžete si ji stáhnout ve formátu .ppsx nebo .pdf (kliknutím na tlačitko v dolní liště snímků).
Meshing OpenStack and Bare Metal Networks with EVPN - David Iles, Mellanox Te...OpenStack
Audience Level
Intermediate
Synopsis
The latest SDN revolution is centered on creating efficient virtualized data center networks using VXLAN & EVPN. We will talk about the scale, performance, and cost advantages of using a modern controller-free virtualized network solution built on 100 Gigabit Ethernet switches with hardware based VXLAN Routing. We will explore the ease of automating such a network in an OpenStack environment and take you through a real world use case of using OpenStack Network Node bridging between a bare metal cloud (EVPN) and a fully virtualized cloud environments (orchestrated by Neutron).
Speaker Bio:
David has held leadership roles at 3COM, Cisco Systems, Nortel Networks, and IBM where he promoted advanced network technologies including High Speed Ethernet, Layer 4-7 switching, Virtual Machine-aware networking, and Software Defined Networking.
David’s current focus is on the evolving landscape of data center networking, scale out storage, Open Networking, and cloud computing.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
클라우드 네이티브로의 전환이 확산되면서 애플리케이션을 상호 독립적인 최소 구성 요소로 쪼개는 마이크로서비스(microservices) 아키텍쳐가 각광받고 있는데요.
MSA는 애플리케이션의 확장이 쉽고 새로운 기능의 출시 기간을 단축시킬 수 있다는 장점이 있지만,
반면에 애플리케이션이 커지고 동일한 서비스의 여러 인스턴스가 동시에 실행되면 MSA간 통신이 복잡해 진다는 단점이 있습니다.
서비스 메쉬(Service Mesh)는 이러한 MSA의 트래픽 문제를 보완하기 위해 탄생한 기술로,
서비스 간의 네트워크 트래픽 관리에 초점을 맞춘 네트워킹 모델입니다.
서로 다른 애플리케이션이 얼마나 원활하게 상호작용하는지를 기록함으로써 커뮤니케이션을 최적화하고 애플리케이션 확장에 따른 다운 타임을 방지할 수 있습니다.
서비스 메쉬의 탄생 배경과 기능, 그리고 현재 오픈소스로 배포되어 있는 서비스 메쉬 솔루션에 대해 소개합니다.
Step1. Cloud Native Trail Map
Step2. Service Proxy, Discover, & Mesh
Step3. Service Mesh 솔루션
Step4. Service Mesh 구현화면 - Istio / linkerd
Step5. Multi-cluster (linkerd)
Watch this presentation and learn all about Microservices.
*Flannel, Weave, IPVLAN, MacVLAN and how they fit together with Docker, Swarm or Kubernetes
*How containers communicate with each other
*How the choice of Networking Interface impacts router and switch deployment in the Data Center
DockerCon 2017 - Cilium - Network and Application Security with BPF and XDPThomas Graf
This talk will start with a deep dive and hands on examples of BPF, possibly the most promising low level technology to address challenges in application and network security, tracing, and visibility. We will discuss how BPF evolved from a simple bytecode language to filter raw sockets for tcpdump to the a JITable virtual machine capable of universally extending and instrumenting both the Linux kernel and user space applications. The introduction is followed by a concrete example of how the Cilium open source project applies BPF to solve networking, security, and load balancing for highly distributed applications. We will discuss and demonstrate how Cilium with the help of BPF can be combined with distributed system orchestration such as Docker to simplify security, operations, and troubleshooting of distributed applications.
Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/
PLEASE NOTE:
During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
DETAILS ABOUT THE WORKSHOP:
Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
클라우드 네이티브로의 전환이 확산되면서 애플리케이션을 상호 독립적인 최소 구성 요소로 쪼개는 마이크로서비스(microservices) 아키텍쳐가 각광받고 있는데요.
MSA는 애플리케이션의 확장이 쉽고 새로운 기능의 출시 기간을 단축시킬 수 있다는 장점이 있지만,
반면에 애플리케이션이 커지고 동일한 서비스의 여러 인스턴스가 동시에 실행되면 MSA간 통신이 복잡해 진다는 단점이 있습니다.
서비스 메쉬(Service Mesh)는 이러한 MSA의 트래픽 문제를 보완하기 위해 탄생한 기술로,
서비스 간의 네트워크 트래픽 관리에 초점을 맞춘 네트워킹 모델입니다.
서로 다른 애플리케이션이 얼마나 원활하게 상호작용하는지를 기록함으로써 커뮤니케이션을 최적화하고 애플리케이션 확장에 따른 다운 타임을 방지할 수 있습니다.
서비스 메쉬의 탄생 배경과 기능, 그리고 현재 오픈소스로 배포되어 있는 서비스 메쉬 솔루션에 대해 소개합니다.
Step1. Cloud Native Trail Map
Step2. Service Proxy, Discover, & Mesh
Step3. Service Mesh 솔루션
Step4. Service Mesh 구현화면 - Istio / linkerd
Step5. Multi-cluster (linkerd)
Watch this presentation and learn all about Microservices.
*Flannel, Weave, IPVLAN, MacVLAN and how they fit together with Docker, Swarm or Kubernetes
*How containers communicate with each other
*How the choice of Networking Interface impacts router and switch deployment in the Data Center
DockerCon 2017 - Cilium - Network and Application Security with BPF and XDPThomas Graf
This talk will start with a deep dive and hands on examples of BPF, possibly the most promising low level technology to address challenges in application and network security, tracing, and visibility. We will discuss how BPF evolved from a simple bytecode language to filter raw sockets for tcpdump to the a JITable virtual machine capable of universally extending and instrumenting both the Linux kernel and user space applications. The introduction is followed by a concrete example of how the Cilium open source project applies BPF to solve networking, security, and load balancing for highly distributed applications. We will discuss and demonstrate how Cilium with the help of BPF can be combined with distributed system orchestration such as Docker to simplify security, operations, and troubleshooting of distributed applications.
Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/
PLEASE NOTE:
During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
DETAILS ABOUT THE WORKSHOP:
Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Kubernetes for java developers - Tutorial at Oracle Code One 2018Anthony Dahanne
You’re a Java developer? Already familiar with Docker? Want to know more about Kubernetes and its ecosystem for developers? During this session, you’ll get familiar with core Kubernetes concepts (pods, deployments, services, volumes, and so on) before seeing the most-popular and most-productive Kubernetes tools in action, with a special focus on Java development. By the end of the session, you’ll have a better understanding of how you can leverage Kubernetes to speed up your Java deployments on-premises or to any cloud.
Red Hat multi-cluster management & what's new in OpenShiftKangaroot
More and more organisations are not only using container platforms but starting to run multiple clusters of containers. And with that comes new headaches of maintaining, securing, and updating those multiple clusters. In this session we'll look into how Red Hat has solved multi-cluster management, covering cluster lifecycle, app lifecycle, and governance/risk/compliance.
Manchester MuleSoft Meetup #6 - Runtime Fabric with Mulesoft Akshata Sawant
Come join us at the Online Meetup to learn more about ServiceNow and Gmail Integration with MuleSoft with detailed Demo. Help us spread the knowledge of Mule!
A brief agenda:
> Networking and Knowledge sharing.
> MuleSoft Latest Product Release Updates.
> Runtime Fabric in depth architecture.
> Finally, we will wrap-up this event with the agenda for the next meetup.
Stay connected to get updates on what's new in MuleSoft.
Introductio to Docker and usage in HPC applicationsRichie Varghese
This is a basic introduction to Docker and breif comparison of docker and Virtual machines...
You can refer the base papers
1) An Introduction to Docker and Analysis of its Performance - Babak Bashari Rad, Harrison John Bhatti, Mohammad Ahmadi
2) Using Docker in High Performance Computing
Applications - Minh Thanh Chung, Nguyen Quang-Hung, Manh-Thin Nguyen, Nam Thoai
note: Its recommended that you download the file as ppt from https://drive.google.com/open?id=1UtR7q9nLu-uBh1uHtokSyFvCV34InyvR as some demonstration works in slide show only....
Au delà des brokers, un tour de l’environnement Kafka | Florent Ramièreconfluent
During the Confluent Streaming event in Paris, Florent Ramière, Technical Account Manager at Confluent, goes beyond brokers, introducing a whole new ecosystem with Kafka Streams, KSQL, Kafka Connect, Rest proxy, Schema Registry, MirrorMaker, etc.
NFF-GO (YANFF) - Yet Another Network Function FrameworkMichelle Holley
NFF-Go is a framework allows developers to deploy performant cloud-native network functions much faster. NFF-Go internally implements low-level optimizations and can auto-scale to multicores using built-in capabilities to take advantage of Intel® architecture. NFF uses Data Plane Development Kit (DPDK) for efficient input/output (I/O) and Go programming language as a high-level, safe, productive language.
Edge and 5G: What is in it for the developers?Michelle Holley
5G is not just the next generation of networks but is also an innovation platform for services, applications, and connected devices. Moving services and applications to edge is accelerating services “today”, without having to wait for 5G to happen. But what does it take to develop an application that is ready for the Edge and 5G? What sort of hardware, software and ecosystem can enable an application that is future ready. In this talk we will discuss what is Intel doing in this space not only terms of products and solutions but also acting as an vendor neutral eco system enabler. We will also discuss the opportunities available to developers today no matter where they belong in the ecosystem.
Speaker: Chandresh Ruparel, Director, Ecosystem Strategy and Intel Network Builders
This presentation covers an industry perspective and a roadmap towards 5G with open and democratized interfaces. It covers examples of open reference platforms and how open source communities can complement standard bodies such as 3GPP and IEEE. It characterizes RAN and user and control plane core micro services and discusses opportunities for embedded network telemetry for emerging machine learning applications.
Speaker: Tom Tofigh, Principal Member of Technical Staff (Architect) at AT&T
De-fogging Edge Computing: Ecosystem, Use-cases, and OpportunitiesMichelle Holley
This presentation is intended to provide clarity around Edge Computing by providing an overview of the edge computing ecosystem and providing context of it’s possibilities through a discussion around use-cases and highlighting opportunities for developers, enterprises, and large companies. We will focus more on practical implications of Edge Computing on business and consumer ecosystems rather than implementations.
Speaker: Faraz Hoodbhoy, Director Outreach Ecosystem & Innovation, AT&T
With uCPE/SD-WAN taking center stage in enabling software-defined Cloud services to enterprise branch offices globally, this session will provide a uCPE review from a solution, deployment and reference design standpoint.
Speaker: Sab Gosal, Segment Manager
Network Platforms Group (NPG), September 2018
Application developers are key to the success of an edge compute strategy. They are the backbone for any digital ecosystem and their requirements drive the platform architecture. Edge computing is no different. In this talk, we will focus on some key requirements, challenges and possible solutions for a developer centric architecture for multi-access edge computing including abstraction of the service provider’s network complexity, low footprint cloud native builder models, micro-services, hardware abstractions, intelligence layers and massive monitoring of application instances.
About the speaker: Shamik Mishra is currently Assistant Vice President (AVP), Technology and Innovation at Aricent. He is a practice leader for new product architectures. He has extensive experience and contributions in software development in cloud, wireless technologies, edge computing and platform software. His research interests are Network Function Virtualization (NFV), Cloud and edge computing and Machine Learning (ML). He has spoken in several conferences and his work is regularly covered in the media. Shamik has a bachelor’s and a master’s degree from Indian Institute of Technology (IIT) Kharagpur, India.
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*Michelle Holley
This demo/lab will guide you to install and configure FD.io Vector Packet Processing (VPP) on Intel® Architecture (AI) Server. You will also learn to install TRex* on another AI Server to send packets to the VPP, and use some VPP commands to forward packets back to the TRex*.
Speaker: Loc Nguyen. Loc is a Software Application Engineer in Data Center Scale Engineering Team. Loc joined Intel in 2005, and has worked in various projects. Before joining the network group, Loc worked in High-Performance Computing area and supported Intel® Xeon Phi™ Product Family. His interest includes computer graphics, parallel computing, and computer networking.
Cloud native architecture is emerging for Telecom workloads. To support these emerging trends, Intel is targeting enhancements to the Dataplane Development Kit (DPDK). The enhancements would target network service mesh with dedicated sidecar accelerators and the mechanism to build the mesh dynamically.
Speaker: Gerald Rogers. Gerald Rogers is a Principal Engineer in the Network Products Group focused on virtual switching, network function virtualization and Data Plane Development Kit (DPDK). After joining Intel in 2005, Gerald has worked as a software engineer and architect in the embedded and networking groups. For the past 7 years Gerald has led the network virtual switching software and hardware acceleration effort to drive Intel architecture into the networking and telecommunications industry. Gerald holds a Bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Science, and has 20 years of experience in the networking and telecommunications industry.
Presentation will cover recent changes in project lifecycle and release model as well as latest additions and technical trends in OpenDaylight.
Speaker: Luis Gomez - Luis Gomez is a Software Test Engineer at lumina Networks. He is member of the OpenDaylight Technical Steering Committee (TSC) and committer for integration and releng projects. Previously he was a Principal Software Test Engineer in the Open Source Software group at Brocade where he spent 4 years integrating, testing and supporting OpenDaylight in customer solutions, before he was a Solution Integration Engineer at Ericsson where he spent more than a decade integrating and testing service provider networks.
Orchestrating NFV Workloads in Multiple CloudsMichelle Holley
Open Network Automation Platform (ONAP) is missioned to deploy and manage VNFs on multiple infrastructure environments, including virtualized infrastructure and cloud native. Workload deployment and orchestration in multiple clouds is expected to play an essential role in ONAP operational success. This talk introduces overall ONAP architecture and orchestration workflow, and related supporting functions such as homing and optimization.
Speaker: Bin Hu, Bin is an innovation thought-leader in NFV, SDN and Cloud. He is the Convener of OPNFV's Technical Community, PTL of IPv6 and PTL of Gluon in OpenStack for the next generation of NFV networking services. He was the Winner of OPNFV 2015 Annual Award.
Convergence of device and data at the Edge CloudMichelle Holley
Ever growing need of Intelligent Systems evolves analytics and decision making into AI with Machine Learning as tools for knowledge assimilation. What is essential for ML is a form of data that has inherent information that can be translated to useful information (intelligence) for decision making. IoT is the key for intelligent systems as they collect data at every end point. They are like ends of neuron network in human body. And the data collected has to be refined for decision making as it traverses up to the brain (AI Cloud) – like lymph nodes we have Edge Clouds. We will explore in this short talk two aspects of such IoT infrastructure where you have lossy network for IoTs, gateway options for device data and how it can seamlessly integrate with Edge Cloud Networks. We will review such protocols as Wireless Mesh, programmable gateways and extension of overlays into the Cloud.
Speaker: Murali Rangachari, Futurewei Technologies
The rapid growth of data requires advanced intelligence closer to the endpoints that are both generating and consuming data. To capture and accelerate this opportunity, the powerful data processing and analytics capabilities that have traditionally lived in the heart of the data center must be strategically placed closer-and-closer to the data generating and consuming endpoints, at the “edge.” This presentation will look at the opportunities facing the Edge ecosystem and show how Intel via its Intel Network Builders’ Network Edge Ecosystem program is helping the community capitalize on this opportunity and accelerate the deployment of Edge solutions.
Speaker: Orla Mooney, Team Lead, Network Edge Ecosystem program
Design Implications, Challenges and Principles of Zero-Touch Management Envir...Michelle Holley
Use of zero-touch management environments requires a paradigm shift in terms of how core management capabilities are delivered, deployed and utilized for the purpose of network service and infrastructure management. In this talk we will examine several key implications and challenges presented by use of zero-touch management practices. We will also propose a set of core architectural principles for design and operation of zero-touch management systems.
Speaker: Alexander Vul, Intel. Alexander is currently working as a Cloud Solutions Architect in the Datacenter Solutions Group at Intel. In his current position, Alexander is responsible for defining and driving Intel’s SDN/NFV MANO solutions and for leading Intel’s participation in the ONAP open source communities.
Using Microservices Architecture and Patterns to Address Applications Require...Michelle Holley
Edge Computing Infrastructure needs to be closer to end-user yet provide ability to offload compute from End user devices for apps such that it can manage both real-time and lossless applications. MEC architecture is inherently complex and of several challenges; state management of applications is key. This talk focuses on aspects of microservices patterns, container workload and persistent stores to address and improve application latency, to match SLAs with use cases like AR; extending home gateway to pole gateway for IoT and address optimization techniques needed for the same.
Speakers:
Prem Sankar Gopannan, Ericsson Opensource Ecosystem team and Opendaylight team
Prakash Ramchandran, Openstack 2018 Board Member
In this talk, Tong will start with the current landscape and typical use cases of Artificial Intelligence applications in the Telco domain. Then, she will introduce Intel’s strategy and products for Network AI, including our focus areas, our hardware portfolio, software stacks, roadmaps and some case studies.
Speaker: Tong Zhang, Principal Engineer and Chief Architect for AI and Analytics of the Network Platforms Group, Intel
Learn how artificial intelligence impacts performance, security, compute, and resources within the network.
Speakers:
“Ali” Osamah Mohammed Ali and Wes Jensen, Netrolix
The concept of service mesh is one of the new technologies that have grown up around the container and micro-service model over the last couple of years, and Istio is the latest entry into this space. As Istio was recently included as an incubated project in the CNCF, many companies are now looking to it to provide a set of key functions to accelerate their micro-service application management model. Istio enables bi-directional authentication and security of service communication via TLS based authentication and encryption, and at the same time is able to capture application level communication statistics, improving the application development team's visibility into the otherwise difficult to track communication patterns. In this way, Istio acts like an application level network, riding across the underlying capabilities of Kubernetes CNI based networks and network policy. We will implement Istio on a GKE kubernetes cluster, and instrument a simple application to get better insight into how Istio provides its capabilities.
Speaker Bio:
With over 20 years of experience as a systems reliability engineer, and a focus on automating not only application deployments but the underlying infrastructure as well, Robert Starmer brings a wealth of knowledge to the full application enablement stack. He has applied this knowledge in fields from high-performance computing to high-frequency trading environments, and everything in between. Robert also holds patents in network, data center, and application performance and scale enhancements. He is a Founder and the CTO at Kumulus Technologies, a DevOps, Systems Reliability Engineering and cloud computing consultancy. Additionally, Robert is an incurable photography nerd and has been known to stay up until dawn in remote locations to capture celestial time-lapses.
Intel® QuickAssist Technology Introduction, Applications, and Lab, Including ...Michelle Holley
Abstract: Intel® QuickAssist Technology improves performance and efficiency across the data center and other computing platforms by handling the compute-intensive operations of bulk cryptography, public key cryptography, and data compression. In this course, we will give an overview of the technology along with the summary of resources to get started with integrating Intel® QAT into your platform solutions. We will also demonstrate using Intel® QAT with applications such as OpenSSL, NGINX, and HAProxy, with a hands-on lab.
Speaker Bios:
Joel Auernheimer, a Platform Application Engineer at Intel, has been focused on enabling customers to integrate Intel® QuickAssist Technology in their platform solutions. Joel is a native of Phoenix, Arizona and enjoys hiking, basketball, soccer, singing, and spending time with friends and family.
Joel Schuetze has been with Intel since 1996. For the last 9+ years he has worked as Platform Application Engineer supporting customers with Intel QuickAssist Technology.
Accelerating Virtual Machine Access with the Storage Performance Development ...Michelle Holley
Abstract: Although new non-volatile media inherently offers very low latency, remote access
using protocols such as NVMe-oF and presenting the data to VMs via virtualized interfaces such as virtio
adds considerable software overhead. One way to reduce the overhead is to use the Storage
Performance Development Kit (SPDK), an open-source software project that provides building blocks for
scalable and efficient storage applications with breakthrough performance. Comparing the software
paths for virtualizing block storage I/O illustrates the advantages of the SPDK-based approach. Empirical
data shows that using SPDK can improve CPU efficiency by up to 10 x and reduce latency up to 50% over
existing methods. Future enhancements for SPDK will make its advantages even greater.
Speaker Bio: Anu Rao is Product line manager for storage software in Data center Group. She helps
customer ease into and adopt open source Storage software like Storage Performance Development Kit
(SPDK) and Intelligent Software Acceleration-Library (ISA-L).
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
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Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
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Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
2. MISSION
Build the world’s most ubiquitous, easy-to-use, scalable, secure, and cloud-grade SDN stack, providing a network
fabric connecting all environments, all clouds, all people.
4. CODE
• 2013-Today: >300 years of work
• 200-300 developer contributions
• ~100 active developers
• Languages: C++, Python, Node, Go
• Apache 2.0 license
• GitHub repositories
• Gerrit review processes
• Launchpad bug tracking and blueprints
• Other OSS used: Cassandra, Kafka, HAproxy,
Docker, Keystone
5. COMMUNITY
Principles:
• Open and inclusive
• Provide strong technical and architectural
oversight
• Competitive ideas welcome
• Rough consensus and running code will always
win
• Iterate and evolve
6. COMMUNITY
• Online:
• Downloads and trial sandbox
• Talk with 900+ people: Slack, Mailing lists
• Follow: Blog, YouTube, Facebook, Twitter
• GitHub: Presentations, Tutorials
• Live (see calendar) :
• Conferences: OpenStack, KubeCon, ONS, Re:invent and
GC Next
• Meetups: host your own or join some
• User Group events: often at conferences
• Governance summits
• Groups: Governance, Technical, Infrastructure
• Community manager: Greg Elkinbard
JOIN
• tungsten.io/slack
• tungsten.io/community
10. VIRTUAL
NETWORK
GREEN
Host + Hypervisor
Host + Hypervisor
Visualizing Tungsten Fabric’s Operational Effects
VIRTUAL
NETWORK
BLUE
VIRTUAL
NETWORK
YELLOW
TF Security Policy
(e.g. allow only HTTP traffic)
Service Chain
Policy with a
Firewall VNF
IP fabric
(switch underlay)
G1 G2 G3
B3
B1
B2
G1
G3
G2
Y1 Y2 Y3B1 B2 B3
Y2Y3
Y1
VM and virtualized Network
function pool
Intra-network traffic Inter-network traffic traversing a service
… …
LOGICAL
(PolicyDefinition)
PHYSICAL
(PolicyEnforcement)
Non-HTTP
traffic
Security
Groups
11. Seamless Multi-Cloud Overlay SDN
Telco POPs Private Cloud DC Public Cloud VPCUsers
Multicloud SDN
Virtual Networking: Overlay Virtual Networking provides connectivity for VM’s and Containers
Distributed Compute Platforms: Leverage the right balance of edge compute, private cloud
compute, and public cloud compute to deploy services
Ubiquitous Security – Centralized security policy orchestration with distributed enforcement across multiple clouds
Performance and Scale: Manage remote compute resources, high performance virtual network
functions, and containers using the same tools
Overlay SDN
12. ARCHITECTURE OVERVIEW
Ethernet / IP
underlay network
TF CONTROLLER, API & GUI
scale-out control and
management container
micro-services
REST
XMPP
ORCHESTRATION NODES
XMPP
virtual overlay networks
TF
Orchestration plug-ins
Control
COMPUTE NODE 2…
TF
vRouter
COMPUTE NODE 1
TF
vRouter
Compute Runtime Compute Runtime
Control
Networks isolated unless
connected with policy
13. USER EXPERIENCE
• REST API
• HTTPS authentication and role-
based authorization
• Used for GUI
• Used for declarative configurations
as code
• Generated from data model
NORTH-BOUND API GUI
14. VROUTER DEPLOYMENT MODELS
KERNEL VROUTER DPDK VROUTER
SRIOV/ VROUTER COEXISTENCE SMARTNIC VROUTER
…VM
1
vRouter
Agent
VNF
2
…VM
1
vRouter
Agent
VM
2
…VM
1
vRouter
Agent
VM
2
…VM
1
vRouter
Agent
VM
2
§ vRouter runs as a user
space process and uses
DPDK for fast path
Packet I/O.
§ Full set of SDN
Capabilities Supported
§ Requires the VMs to
have DPDK enabled for
performance benefits
§ vRouter fwding plane runs
within the NIC
§ Workloads are SRIOV-
connected to the NIC
§ Some workloads can directly
SRIOV into the NIC, while others
go through the vRouter
§ Sometimes a VNF can have
multiple interfaces some of which
are SRIOV-ed to the NIC
§ Interfaces that are SRIOV-ed into
NIC don’t get the benefits /
features of vRouter
§ This the normal operation where
fwding plane of vRouter runs in
the kernel and are connected to
VMs using TAP interface (or veth
pair for containers)
§ vRouter itself is enhanced using
other performance related
features:
o TSO / LRO
o Multi-Q Virtio
15. CONTAINERIZED WORKLOADS
kube-manager
TF Controller
kube-manager listens to K8s API Server and
conveys the API request to the Controller
Compute Node
…
POD 1
C
1
…
Compute Node
POD 2
C
2
…
POD 3
C
3
…
POD 4
C
4
…
API Server
K8s and Contrail Controller Nodes
Scheduler …
Replication Ctrl
kubectl
(user commands)
vRouter
(replaces kube-proxy)
CNI Plugin
vRouter
(replaces kube-proxy)
CNI Plugin
Kubele
t
Kubele
t
16. DIFFERENT LEVELS OF ISOLATION
N a m e s p a c e - B
S
3
S
4
POD 9
…
POD 13
…
…
N a m e s p a c e - A
S
1
S
2
POD 1
…
POD 5
…
…
N a m e s p a c e - D
S
7
S
8
POD 25
…
POD 29
…
…
N a m e s p a c e - C
S
5
S
6
POD 17
…
POD 21
…
…
N a m e s p a c e - F
S1
1
S1
2
POD 41
…
POD 45
…
…
N a m e s p a c e - E
S
9
S1
0
POD 33
…
POD 37
…
…
DEFAULT CLUSTER MODE NAMESPACE ISOLATION POD / SERVICE ISOLATION
§ This is how Kubernetes networking works
today
§ Flat subnet where -- Any workload can talk to
any other workload
§ In addition to default cluster, operator can
add isolation to different namespaces
transparent to the developer
§ In this mode, each POD is isolated from
one another
§ Note that all three modes can co-exist
17. The Latest from Tungsten Fabric
Ø Microservices
architecture
Ø Better cloud native
deployment options
Ø Comprehensive
support for Network
objects
Ø Ingress/Egress
Network Policy
Ø High performance
load balancing
Ø Improved flow
performance and
management
Ø SDN for Edge
Compute – Beta
Quality
House Keeping Container SDN VM’s and NFV
18. CONAINERIZED ARCHITECTURE
…
§ Multiple personalities of containers:
o 3 controller container – (Controller, Analytics,
Analytics DB) each representing a node
o LB to enable HA (based on HAProxy) will be
provided as container not a mandatory item
o vRouter Agent on containers
§ Containers are deployed using either Ansible / K8s / Helm
Charts / Docker Compose
§ Each of the nodes can independently scale (3 x)
§ Can be deployed on Bare Metal or VMs
§ No change in the role / functionality of the Control / config /
analytics nodes
SALIENT ASPECTS
BENEFITS
§ LCM is simplified [All dependencies within the container
(easy bring up) ]
§ Accelerate provisioning
§ Integration with 3rd party provisioning tools simplified
Config +
Control
Analytics
Analytics
DB
Compute Node Compute Node
…
…
…
…
…
…
Docker containers
orchestrated using
K8s or other
orchestration tools
HA Controller Nodes
vRouter
Agent
vRouter
Agent
vRouter vRouter
Containerizing Contrail Control Plane – for easier manageability
19. INSTALLATION
• Ansible playbook to flexibly deploy Tungsten Fabric binaries
• Helm charts to easily operate Tungsten Fabric components on Kubernetes
• Install-time option with OpenShift to deploy with Tungsten Fabric
• Tungsten Fabric binaries available on DockerHub and we’re improving CI/CD
• Commercial integrations into lifecycle tools like RH OpenStack Director
20. VERSATILE SDN SOLUTION
L4 Policy
Tungsten Fabric network and security policies
provide fine grain traffic control, while
abstracting away the underlay topology.
1
Svc Chain Policy2
Containers
App Tier DB Tier
BMSVMs VMsFWL
B
Web Tier
VMs
1
2
1
Consistent security and network functionality between VMs, containers, or bare metal.
…
VM
Compute Node
Nested Container
Compute Node
Tungsten Fabric
Username
Passwor
d
…
NFV
Compute Node
21. SOFTWARE DEFINED SECURE NETWORKING
…
We
b
Ap
p
d
b
App1, Deployment = Dev
We
b
Ap
p
d
b
App1, Deployment = Staging
We
b
Ap
p
d
b
App1, Deployment = Prod
Tungsten fabric provides a rich, consistent set of security policy capabilities across multiple platforms.
We
b
Ap
p
d
b
App1, Deployment = Dev-K8s
We
b
Ap
p
d
b
App1, Deployment = Dev-
Mesos
vRouter Security Groups
We
b
Ap
p
d
b
App1, Deployment = Staging-BMS
B a r e M e t a l S e r v e r
s
Network Policy
Device
Manager
1. Simplified Manageability (change control, etc.
is much easier)
2. Improved Scalability
3. Define / Review / Approve Once à Use
Everywhere
22. Handling and Matching Flows
22
● 3X flow setup rate improvement
● TCP state machine to bypass flow aging
● Fat flow protocol & port i.e. Protocol: UDP Port:53 (Fat Flow)
● Enable/Disable flows *
* Note: features likes SG, floating-IP, VN based policy and VRF assign rules will not function
3X Improvement
Fat Flow
2.2
Enable/Disable Flows
Contrail 3.0.X/3.1.X
TCP state machine
2.2
23. FAT Flow Enhancements
Fat Flow Current Implementation
23
A flow key is used to hash into a flow table (identify
a hash bucket). The flow key is based on five tuple
consisting of source and destination IP addresses,
ports and the IP protocol
Flow Key is reduced from a 5-Tuple to a 4-Tuple
consisting of source & destination IP, destination
port and IP protocol. The client port is not used in
the flow key.
SRC IP DST IP SRC Port DST Port IP PacketProtocol
Virtual Machine Interface
FAT Flow
Protocol (TCP/UDP/SCTP & ICMP) & Port Pairs
Flow Key Hash using 5 Tuple
24. Fat Flow Enhancements
2
4
To enhance vRouter Fat Flow handling to support ignore source/destination port or
source/destination IP address.
1. Ignore both source and destination ports
2. Ignore either source or destination IP
3. Combination of both (1) and (2) above
Virtual Machine Interface
FAT Flow
Protocol (TCP/UDP/SCTP & ICMP), Port Pairs, Ignore
Address (SRC/DST)
Virtual Network
Protocol (TCP/UDP/SCTP & ICMP), Port Pairs, Ignore
Address (SRC/DST)
