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Network virtualization visibility demo
The diagram above shows the demonstration testbed. It consists of a leaf and spine network connecting two hosts, each of which is running a pair of Docker containers connected to Open vSwitch (OVS). The vSwitches are controlled by Open Virtual Network (OVN), which has been configured to create two logical switches, the first connecting the left most containers on each host and the second connecting the right most containers. The testbed is described in more detail in Open Virtual Network (OVN) and is built from free components and can easily be replicated.
The dashboard in the video illustrates the end to end visibility that is possible by combining standard sFlow instrumentation in the physical switches with sFlow instrumentation in Open vSwitch and Host sFlow agents on the servers.
The diagram on the left of the dashboard shows a logical map of the elements in the testbed. The top panel shows the two logical switches Continue reading
SC15 live real-time weathermap
From the SCinet web page, "SCinet brings to life a very high-capacity network that supports the revolutionary applications and experiments that are a hallmark of the SC conference. SCinet will link the convention center to research and commercial networks around the world. In doing so, SCinet serves as the platform for exhibitors to demonstrate the advanced computing resources of their home institutions and elsewhere by supporting a wide variety of bandwidth-driven applications including supercomputing and cloud computing."
The real-time weathermap leverages industry standard sFlow instrumentation built into network switch and router hardware to provide scaleable monitoring of the over 6 Terrabit/s aggregate link capacity comprising the SCinet network. Link colors are updated every second to reflect operational status and utilization of each link.
Clicking on a link in the map pops up a 1 second resolution strip chart showing the protocol mix carried by the link.
The SCinet real-time weathermap was constructed using open source components running on the sFlow-RT real-time analytics engine. Download sFlow-RT and see what Continue reading
sFlow Test
Many of the tests can be run while the switches are in production and are a useful way of verifying that a switch is configured and operating correctly.
The stress tests can be scaled to run without specialized equipment. For example, the recommended sampling rate for 10G links in production is 1-in-10,000. Driving a switch with 48x10G ports to 30% of total capacity would require a load generator capable of generating 288Gbit/s. However, dropping the sampling rate to 1-in-100 and generating a load of 2.88Gbit/s is an equivalent test of the sFlow agent's performance and can be achieved by two moderately powerful servers with 10G network adapters.
For example, using the test setup above, run an iperf server on Server2:
iperf -suThen run the following sequence of tests on Server1:
#!/bin/bash
RT="10.0.0. Continue reading
Active Route Manager
There is an interesting parallel with the Open vSwitch architecture, see Open vSwitch performance monitoring, which maintains a cache of active flows in the Linux kernel to accelerate forwarding. In the SDN routing case, active prefixes are pushed to the switch ASIC in order to bypass the slower software router.In this example, the software is being used in passive mode, estimating the cache hit / miss rates without offloading routes. The software has been configured to manage a cache of 10,000 prefixes. The first screen shot shows the cache warming up.
The first panel shows routes being learned from the route reflector: the upper chart shows the approximately 600,000 routes being learned from the BGP route reflector, and the lower chart shows the rate at which Continue reading
Fabric View
Fabric View solves the visibility challenge by using the industry standard sFlow instrumentation built into most data center switches. Fabric View represents the fabric as if it were a single large chassis switch, treating each leaf switch as a line card and the spine switches as the backplane. The result is an intuitive tool that is easily understood by anyone familiar with traditional networks.
Fabric View provides real-time, second-by-second visibility to traffic, identifying top talkers, protocols, tenants, tunneled traffic, Continue reading
Real-time analytics and control applications
The flow-graph application, shown above, generates a real-time graph of communication between hosts. The application uses a simple sFlow-RT script to track associations between hosts based on their communication patterns and plots the results using the vis.js dynamic, browser based visualization library. This example can be modified to track different types of relationship and extended to incorporate other popular data visualization libraries such as D3.js.
Each of the examples has a server-side component that uses sFlow-RT's script API to collect, analyze, and export measurements. An HTML5 client side user interface connects to the server and presents the data.
The sFlow-RT analytics engine is a highly scaleable platform for processing sFlow measurements Continue reading
Open Virtual Network (OVN)
Open Virtual Network (OVN) is an open source network virtualization solution built as part of the Open vSwitch (OVS) project. OVN provides layer 2/3 virtual networking and firewall services for connecting virtual machines and Linux containers.
OVN is built on the same architectural principles as VMware's commercial NSX and offers the same core network virtualization capability — providing a free alternative that is likely to see rapid adoption in open source orchestration systems, Mirantis: Why the Open Virtual Network (OVN) matters to OpenStack.
This article uses OVN as an example, describing a testbed which demonstrates how the standard sFlow instrumentation build into the physical and virtual switches provides the end-to-end visibility required to manage large scale network virtualization and deliver reliable services.
Open Virtual Network
The Northbound DB provides a way to describe the logical networks that are required. The database abstracts away implementation details which are handled by the ovn-northd and ovn-controllers and presents an easily consumable network virtualization service to orchestration tools like OpenStack.
The purple tables on the left describe a simple logical switch LS1 that has two logical ports LP1 and LP2 with MAC addresses AA and BB respectively. The green tables on the right show Continue reading
Cisco adds sFlow support to Nexus 9K series
Cisco network engineers might not be familiar with the multi-vendor sFlow technology since it is a relatively new addition to Cisco products. The article, Cisco adds sFlow support, describes some of the key features of sFlow and contrasts them to Cisco NetFlow.Nexus 9000 switches can be operated in NX-OS mode or ACI mode:
- NX-OS mode includes a number of open features such as sFlow, Python, NX-API, and Bash that integrate with an open ecosystem of orchestration tools such as Puppet, Chef, CFEngine, and Ansible. "By embracing the open culture of development and operations (DevOps) and creating a more Linux-like environment in the Cisco Nexus 9000 Series, Cisco enables IT departments with strong Linux skill sets to meet business needs efficiently," Cisco Nexus 9000 Series Switches: Integrate Programmability into Your Data Center. Open APIs are becoming increasingly popular, preventing vendor lock-in, and allowing organizations to benefit from the rapidly increasing range of open hardware Continue reading
CORD: Open-source spine-leaf Fabric
Live demonstration of SDN leaf and spine traffic engineering recorded at the Open Networking Summit. The open source ONOS controller implements segment routing using OpenFlow 1.3 to control a four switch leaf and spine network of commodity switches. For more detail on the use of real-time sFlow analytics from commodity switches in this demonstrations, see Leaf and spine traffic engineering using segment routing and SDN
White box Internet router PoC
The following traceroute run on Peer 1 shows the set of router hops from 192.168.250.1 to 192.168.251.1
[root@peer1 ~]# traceroute -s 192.168.250.1 192.168.251.1
traceroute to 192.168.251.1 (192.168.251.1), 30 hops max, 40 byte packets
1 192.168.152.2 (192.168.152.2) 3.090 ms 3.014 ms 2.927 ms
2 192.168. Continue reading
SDN router using merchant silicon top of rack switch
The talk from David Barroso describes how Spotify optimizes hardware routing on a commodity switch by using sFlow analytics to identify the routes carrying the most traffic. The full Internet routing table contains nearly 600,000 entries, too many for commodity switch hardware to handle. However, not all entries are active all the time. The Spotify solution uses traffic analytics to track the 30,000 most active routes (representing 6% of the full routing table) and push them into hardware. Based on Spotify's experience, offloading the active 30,000 routes to the switch provides hardware routing for 99% of their traffic.David is interviewed by Ivan Pepelnjak, SDN ROUTER @ SPOTIFY ON SOFTWARE GONE WILD. The SDN Internet Router (SIR) source code and documentation is available on GitHub.
WAN optimization using real-time traffic analytics
The load balancing application receives real-time notifications of large flows from the sFlow-RT analytics software and programs the SDN Controller (in this case OpenDaylight) to push forwarding rules to the switches to direct the large flows across a specific path. Flow Aware Real-time SDN Analytics (FRSA) provides an overview of the basic ideas behind large flow traffic engineering that inspired this use case.
While OpenDaylight is used in this example, an interesting alternative for this use case would be the ONOS SDN controller running the Segment Routing application. ONOS Continue reading
Optimizing software defined data center
The recent Fortune magazine article, Software-defined data center market to hit $77.18 billion by 2020, starts with the quote "Data centers are no longer just about all the hardware gear you can stitch together for better operations. There’s a lot of software involved to squeeze more performance out of your hardware, and all that software is expected to contribute to a burgeoning new market dubbed the software-defined data center."The recent ONS2015 Keynote from Google's Amin Vahdat describes how Google builds large scale software defined data centers. The presentation is well worth watching in its entirety since Google has a long history of advancing distributed computing with technologies that have later become mainstream.
There are a number of points in the presentation that relate to the role of networking to the performance of cloud applications. Amin states, "Networking is at this inflection point and what computing means is going to be largely determined by our ability to build great networks over the coming years. In this world data center networking in particular is a key differentiator."
This slide shows the the large pools of storage and compute connected by the data center network that are used Continue reading
Leaf and spine traffic engineering using segment routing and SDN
The short 3 minute video is a live demonstration showing how software defined networking (SDN) can be used to orchestrate the measurement and control capabilities of commodity data center switches to automatically load balance traffic on a 4 leaf, 4 spine, 10 Gigabit leaf and spine network.
The switches are also configured to enable OpenFlow 1.3 and connect to multiple controllers in the redundant ONOS SDN controller cluster running on Controller 1 and Controller 2.
Analytics and SDN
The first slide is from a presentation by AT&T's Margaret Chiosi; SDN+NFV Next Steps in the Journey, NFV World Congress 2015. The future architecture envisions generic (white box) hardware providing a stream of analytics which are compared to policies and used to drive actions to assure service levels.
The second slide is from the presentation by Google's Bikash Koley at the Silicon Valley Software Defined Networking Group Meetup. In this architecture, "network state changes observed by analyzing comprehensive time-series data stream." Telemetry is used to verify that the network is behaving as intended, identifying policy violations so that the management and control planes can apply corrective actions. Again, the software defined network is built from commodity white box switches.
Support for standard sFlow measurements is almost universally available in commodity switch hardware. sFlow agents embedded within network devices continuously stream measurements to the SDN controller, supplying the analytics component with the comprehensive, scaleable, real-time visibility needed for effective control.
SDN fabric controller for commodity data center switches describes the measurement and control capabilities available in commodity switch hardware. Continue reading
Big Tap sFlow: Enabling Pervasive Flow-level Visibility
Today's Big Switch Networks webinar, Big Tap sFlow: Enabling Pervasive Flow-level Visibility, describes how Big Switch uses software defined networking (SDN) to control commodity switches and deliver network visibility. The webinar presents a live demonstration showing how real-time sFlow analytics is used to automatically drive SDN actions to provide a "smarter way to find a needle in a haystack."
The video presentation covers the following topics:
- 0:00 Introduction to Big Tap
- 7:00 sFlow generation and use cases
- 12:30 Demonstration of real-time tap triggering based on sFlow
The webinar describes how the network wide monitoring provided by industry standard sFlow instrumentation complements the Big Tap SDN controller's ability to capture and direct packet selected packet streams to visibility tools.
The above slide from the webinar draws an analogy for the role that sFlow plays in targeting the capture network to that of a finderscope, the small, wide-angle telescope used to provide an overview of the sky and guide the telescope to its target. Support for the sFlow measurement standard is built into commodity switch hardware and is enabled on all ports in the capture network to provide a wide angle view of all traffic in the data center. Once Continue reading
OpenNetworking.tv interview
The OpenNetworking.tv interview includes a wide ranging discussion of current trends in the software defined networking (SDN), including: merchant silicon, analytics, probes, scaleability, Open vSwitch, network virtualization, VxLAN, network function virtualization (NFV), Open Compute Project, white box / bare metal switches, leaf and spine topologies, large "Elephant" flow marking and steering, Cumulus Linux, Big Switch, orchestration, Puppet and Chef.
The interview and full transcript are available on SDxCentral: sFlow Creator Peter Phaal On Taming The Wilds Of SDN & Virtual Networking
Related articles on this blog include:
ECMP visibility with Cumulus Linux
Topology discovery with Cumulus Linux looked at an alternative Multi-Chassis Link Aggregation (MLAG) configuration and shows how to extract the configuration and monitor traffic on the network using sFlow and Fabric View.
The paper Hedera: Dynamic Flow Scheduling for Data Center Networks describes the impact of colliding flows on effective ECMP cross sectional bandwidth. The paper gives an example which demonstrates that effective cross sectional bandwidth can be reduced by a factor of between 20% to 60%, depending on the number of simultaneous flows per host.
This article uses the workbench to demonstrate the effect of large "Elephant" flow collisions on network throughput. The following script running on each of the servers uses the iperf tool to generate pairs of overlapping Elephant flows:
cumulus@server1:~$ while true; do iperf -c 10.4.2.2 -t 20; sleep 20; done
------------------------------------------------------------
Client connecting to 10.4.2.2, TCP port Continue reading
Topology discovery with Cumulus Linux
Prescriptive Topology Manager
Complex Topology and Wiring Validation in Data Centers describes how Cumulus Networks' prescriptive topology manager (PTM) provides a simple method of verifying and enforcing correct wiring topologies.The following REST call converts the topology from PTM's dot notation and returns a JSON representation:
cumulus@wbench:~$ curl http://leaf1:8080/ptmReturns the result:
{
"links": {
"L1": {
"node1": "leaf1",
"node2": "spine1",
"port1": "swp1s0",
"port2": "swp49"
},
...
}
}LLDP
Prescriptive Topology Manager is preferred since it ensures that the discovered topology is correct. However, PTM builds on basic Link Level Discovery Protocol (LLDP), which provides an alternative method of topology Continue readingBroadcom ASIC table utilization metrics, DevOps, and SDN
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| Figure 1: Two-Level Folded CLOS Network Topology Example |
Broadcom Trident ASICs are popular in white box, brite-box and branded data center switches from a wide range of vendors, including: Accton, Agema, Alcatel-Lucent, Arista, Cisco, Dell, Edge-Core, Extreme, Hewlett-Packard, IBM, Juniper, Penguin Computing, and Quanta.
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| Figure 2: OF-DPA Programming Pipeline for ECMP |
Broadcom's recently released sFlow specification, sFlow Broadcom Switch ASIC Table Utilization Structures, leverages the industry standard sFlow protocol to offer scaleable, multi-vendor, network wide visibility into the utilization of these hardware tables.
Support for Continue reading