Large-Scale Passive Network Monitoring using Ordinary Switches
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1 Large-Scale Passive Network Monitoring using Ordinary Switches Justin Scott Senior Network OPS engineer Rich Groves
2 Preface We are network Engineers This isn t a Microso4 Product We are here to share methods and Knowledge. Hopefully we can all con@nue to help foster evolu@on in the industry
3 About Jus0n Sco3 Started career at MSFT in Network engineer, specialized in high profile, high stress outages Turned to packet analysis to get through ambiguous problem statements Frustrated by our inability to exonerate our network quickly. Lack of ability to data mine telemetry data at the network layer Sharkfest 2014
4 What s this about? A different way of aggregate data from a TAP/SPAN Our struggle with other approaches An Architecture based on OpenFlow and use of commodity merchant silicon A whole new world of use- cases Learnings we ve taken away
5 The Scale of the cloud Thousands of 10g links per Data Center 8,16 and 32x10g uplinks from TORs Cost makes it a non-starter with commercial solutions
6 Prior itera0ons Capture- Net Ø Consisted of off the shelf gear, which was far too expensive at scale Ø high cost made tool purchases a difficult pitch, no point without tools Ø Resulted in lots of gear gathering dust Ø Opera@ons not mature enough to back such a solu@on PMA/PUMA Passive Measurement Architecture Ø Lower cost than Capture- net Ø Designed for a specific environment and not intended to scale Ø Extremely feature rich Nemesys AKA Rich s crazy ideas Ø Big hub - Switched network with MAC learning turned off Le4 with shuffling sniffers around the DC as troubleshoots popped up.
7 Ques0ons? NOT THE END Just took a step back
8 What features make up a packet broker? terminates taps Can match on a 5- tuple duplica@on 80% Packets unaltered low latency Stats Layer 7 packet inspec@on Time stamps Frame Slicing 20% Microburst detec@on Sharkfest 2014
9 Reversing the Packet Broker Filter Ports MUX Service backplane Filter Ports (pre-filter, de-duplication of data) Service! Service! Timestamps,DPI,etc Delivery Ports (data duplication and delivery) Delivery
10 Can You Spot the Off the Shelf Packet Broker? Which is 20x more expensive? What do these have in common? They are all the same switch! Is it called a Packet Broker cause it makes you broker? -Raewyn Groves (Rich s Daughter)
11 11 Architecture
12 The glue SDN Controller Openflow 1.0 Ø Ø Ø Ø Controller runs as an agent on the switch Standards managed by the Open Networking Founda0on developed at Stanford Can match on SRC and/or DST fields of either TCP/UDP, IP, MAC., ICMP code & types, Ethertype, Vlan id Controller Discovers topology via LLDP Can manage whole solu0on via remote API, CLI or web GUI
13 Mul0- Tenant Distributed Ethernet Monitoring Appliance Enabling Packet Capture and Analysis at Enterprise Scale monitor ports filter mux filter service service delivery Appliance tooling 20X cheaper than off the shelf solutions
14 Filter Layer Monitor Ports Filter Filter e Terminates all monitor ports Drops all traffic by default De- duplica@on of data if needed Aggressive sflow exports
15 Mux Layer Monitor Ports MUX Aggregates all filter switches in a data center Directs traffic to either service nodes or delivery interfaces Enables service chaining per policy
16 Services Nodes monitor ports r Service Service Aggregated by mux layer. Majority of cost is here Flows DON T need to be sent through the service by default. Service chaining Some Service: Deeper (layer 7) filtering Time stamping Microburst detec@on Traffic Ra@o s (SYN/SYNC ACK) Frame slicing - (64, 128 byte) Payload removal for compliance Rate limi@ng
17 Delivery Layer monitor ports r Delivery tooling 1:N and N:1 delivery to duplica@on of data Delivery to local or tunneling to remote tools
18 Controller Router Router Filter_Switch2 Filter_Switch1 Filter_Switch3 policy demo description Ticket match tcp dst-port match tcp src-port filter-interface Filter_Switch1_Port1 filter-interface Filter_Switch1_Port2 filter-interface Filter_Switch2_Port1 filter-interface Filter_Switch2_Port2 filter-interface Filter_Switch3_Port1 filter-interface Filter_Switch3_Port2 delivery-interface Capture_server_NIC1
19 Extras Intelligence of the solu0on Ø Ø Ø Ø Ø Ø Ø Ø Ø Overlapping flow support Vlan rewrite ARP glean Marker packet Stats Mul0- User support Tap Port grouping Self termina0ng policy bring your own innova0on controller
20 Use Cases and Examples 20 Microsoft Confidential Internal Use Only
21 Reac0ve Ops Use- cases Split the network into inves0ga0on domains. Quickly exonerate or implicate the network Time gained not physical moving sniffers from room to room Verify TCP intelligent network appliance are opera0ng as expected
22 IPV6 Problem Statement: Users on a large ISP in Sea3le are intermi3ently unable to connect to exchange via IPV6. Repro facts: 3- way TCP connec0on setup s up. 9- way SSL handshake fails Ack for Client hello doesn t make it back to Loadbalancer Solu0on: Implicates or exonerates advanced L7 devices that are commonly finger pointed Root cause: Race condi0on - If the client hello was received on the LoadBalancer, before the backend connec0on was made it would trigger the bug
23 Proac0ve monitoring Use- case Relying sole on SNMP polling and syslogs gives you false confidence Exposure to the underlying TCP telemetry data is true network performance data Detect retransmissions (TCP- SACK)
24 Controller Router Router Filter_Switch2 Filter_Switch1 policy demo description Ticket short desc 1 match tcp dst-port match tcp src-port 443 filter-interface Filter_Switch1_Port1 filter-interface Filter_Switch1_Port2 filter-interface Filter_Switch2_Port1 filter-interface Filter_Switch2_Port2 delivery-interface Capture_server_NIC1 use-service remove_payload chain 1 use-service Layer_7_service_TCP_sack_match chain 2
25 Port- channels and delivery Load-balance to multiple tools - Symmetric hashing Duplicate data to multiple delivery interfaces Binding portchannels to Openflow Services expanding multiple interfaces
26 Increase Visibility on Large L2 networks Connec0ng a filter- interface to a L2 network as a trunked link Unicast flooding: NLB is a loadbalancing technology that doesn t use tradi0onal hardware based LB s. Stolen gateway: Human fat fingers an IP address as the default- gateway. Broadcasts: All fun in games un0l the rate of broadcasts increase over some dura0on and starve out legi0mate traffic AKA broadcast storm. STP TCN: A single packet that indicates the whole L2 network CAM table is going to be flushed and relearnt. A single occurrence isn t the end of the world, but if it s frequent occurrence bad things are happening.
27 Adding sflow Analysis monitor ports filter1 filter sflow samples sourced from all interfaces mux delivery Controlle r Behavioral analysis More meaningful captures are taken sflow collector logic 27
28 Remote delivery monitor ports filter1 filter mux Controlle r delivery Produc@on network 28 Encap and send to remote tool in other DC Decap on arrival
29 Basic Openflow Pinger Functionality Spine Spine Spine Spine packet is transmijed through the openflow control channel Packet flows through the network Leaf 1 Leaf 2 Packet is des@ned toward example dest Demon 1588 Switch Controller Openflow encap is removed inner packet is transmijed through specified output port Packets Packets are des@ned counted for controller are read encapsulated analysis through Openflow control channel Packet is cra4ed based on a template
30 30 Cost & Caveats
31 Solu0on breakdown Cost to build out a TAP infrastructure to support gig links. Cost Tap strip Filter Switch MUX Tap strip Delivery Switch Capture Filter Switch Server Packet MUX Broker Delivery Switch Capture Server SDN Controller Packet Broker Number of links
32 Learnings of raw openflow solu0on Short term hurtles Ø TCAM limits Ø IPv6 support Ø Lacking support in the same ecosystem Ø Can t match on TCP/IP if packets encapsulated (MPLS,IP- IP) Ø Most services are sta@c and have a 10Gig cap. Openflow Ecosystem Ø switch vendors implement Openflow a lijle differently Ø Commercial controller support is splintering. Whitebox switches/bare metal Ø Total access/control of the underlying hardware
33 33 Questions?
34 Microsom is a great place to work! We need experts like you. We have larger than life problems to solve and are well supported Networking is cri@cal to Microso4's online success and well funded. Washington is beau@ful! It doesn t rain that much. We just say that to keep people from cali from moving in
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