Новые коммутаторы qfx10000. Технология junos fusion
TRANSCRIPT
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DATA CENTER SOLUTION
Vladimir Urayev
Sr. DC Sales Specialist, EMEA
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Industry Trends
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CLOUD ADOPTION
Platforms and Vendors of Choice are … Shifting
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Data Centers and Clouds are Changing
Projected amount of data center network
traffic by 2017.
(1 ZB = 1 trillion GB)
7.7 ZB248%1
Data center outages caused by human
error.
Enterprises who have hybrid cloud strategy.
82%3
Scale & Automation will be critical to creating future-proof clouds and data centers.
1. Ponemon Institute, 2013 Study on Data Center Outages2. Cisco Global Cloud Index
3. RightScale 2015 State of the Cloud Report
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Cloud Adoption Driving Higher Bandwidth100GbE spending growing to nearly $8 billion over next 4 years
Source: Dell’Oro Ethernet Switch Market Update 1Q2014
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WHY JUNIPER NETWORKS?
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JUNIPER’S DATA CENTER SOLUTIONS HELP ADDRESS CHALLENGES
• How does Juniper’s solution help address challenges?
• How does Juniper’s solution help create value added Cloud Services?
Technology Innovations
• Open standards
• Chipset innovations
• Software innovations
Partnerships
• Solution Partnerships
• Product Partnerships
• VARs, PS Partners
Proven Solutions
• Tested and validated designs
• Design, Implementation guides
Market Deployments
• Close interaction with leading edge customers
• Feedback loops
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JUNIPER’S DATA CENTER SOLUTION Consists of a Rich Set of Partners and Ecosystem Members
DCI
MX vMX
PTX QFX
SECURITY
vGW, SRX
SDN
Contrail
SWITCH FABRIC
QFX
VC Fabric
IP Clos
Storage
Virtualization/
Cloud
HBA/NIC
Global
Load-balancing
Metro
Transport
Handsets
Security
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DATA CENTER CUSTOMERS
Cloud Operator,SP background
Cloud Operator, automation background
Financial Data Center
Content Provider, Data Center
Enterprise Data Center
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QFX10000 LINE OF SWITCHES
Industry’s most scalable, open and future-proof spine/core cloud switches
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Internet
MX (USG)
Virtual & PhysicalSecurity
QFX, EX, and QFabic Switching
Private Cloud
Hosted/Managed
MX (USG)
Virtual & PhysicalSecurity
QFX, EX, and QFabic Switching
Private Cloud
Public Cloud(Hybrid)
Junos Space
Network Director
WAN
Multi-Data Center, Multi-Cloud, One Network Architecture
Campus and Branch
ANY NETWORK OR SDN
Networking End to End
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Cloud Switching PortfolioHow to Fit into Spine-Leaf Solution
SPINE
MODULAR
LEAF
FIXED
EX9200 QFX10000
QFX5100
QFX5100-24Q QFX10002
10 GIGABIT ETHERNETOCP NETWORKINGAPPLICATION
INTEGRATED SWITCHING
SCALE UP ARCHITECTUREUp to 480 X 100 GbE Ports
GIGABIT ETHERNET
EX4300QFX5100-24Q-AA
QFX-PFA-4QOCX1100
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MOST SCALABLE
System Throughput
• Only 100G-capable 2RU switches
• 2x 100G port density in given size
• Up to 4x the total system throughput
Buffers
• 100x the buffer size
Logical Tables
• Up to 4x FIB scale
• Up to 8x MAC scale
• Industry Only 2M host route (or VM) scale
5.76 Tbps8 SLOT
48 Tbps16 SLOT96 Tbps
2.88 Tbps
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Linux (Centos)
OPEN
Open & standard automation, monitoring and SDN API
Open architecture to create & run applications alongside JUNOS
Open & standards-based for a multi-vendor network
PFEx86 CPU
BSD BSD
Guest App
Guest VM
Junos RE 0 (VM)
Junos RE 1 (VM)
KVM
Gu
est
Ap
p
PFE (Native Linux)
Platform (Native Linux) A
nal
ytic
s
Au
tom
atio
n
Linux (Yocto)
Netconf
Junos XML-RPC DMI
CLI, SNMP, PyEZ, RubyEZ, Junos Script Open Standardized API • Programmable Access to Control Plane,
Data Plane and Platform• Thrift, REST, JSON/XML, YANG
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QFX10002 FIXED SWITCHES
QFX10002-72Q
2RU
5.76 Tbps
• 2RU Fixed Switches:
• 36 x 40G QSFP+ / 12 x 100G QSFP28 / 144 x 10G SFP+
• 72 x 40G QSFP+ / 24 x 100G QSFP28 / 288 x 10G SFP+
• Intel Quad Core Ivy Bridge 2.4Ghz CPU, 16GB SDRAM
• Front-to-back airflow with 3 rear fan trays
• AC & DC Power
• QFX10002-72Q: 2+2 / 2+1 redundancy
• QFX10002-36Q: 1+1 redundancy
QFX10002-36Q QFX10002-72Q
System throughput 2.88 Tbps 5.76 Tbps
10G Density (SFP+) (breakout) 144 288
40G Density (QSFP+) 36 72
100G Density (QSFP28) 12 24
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QFX10008 / QFX10016 MODULAR SWITCHES
QFX10008
13RU
8 Slot
48 Tbps
QFX10016
21RU
16 Slot
96 Tbps
• Mid plane-less orthogonal interconnect architecture
• 6 cell-based switch fabric cards with N + 1 redundancy
• Redundant Routing Engines
• Intel Quad Core Ivy Bridge 2.4Ghz CPU, 32GB SDRAM
• Front-to-back airflow with 2 rear fan trays
• AC & DC Power with N+1 redundancy
• 8-slot: 6 PSUs, 16-slot: 10 PSUs
• Line Cards:
• 60 x 10G SFP+ with 6 x 40G QSFP+ / 2 x 100G QSFP28
• 36 x 40G QSFP+ / 12 x 100G QSFP28
• 30 x 100G QSFP28 / 24 x 40G QSFP+ + 6 x 100G QSFP28
QFX10008 QFX10016
10G Density (SFP+) (Native) 480 960
10G Density (SFP+) (breakout) 1152 2304
40G Density (QSFP+) 288 576
100G Density (QSFP28) 240 480
QFX10000-36Q
QFX10000-30C
QFX10000-60S-6Q
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Q5 PACKET FORWARDING ENGINE
10GE/40GE/100GE(MAC & PHY)
500Gbps, 28nm10G/25G SerDes
400GE Ready*
On-Chip Analytics
Adaptive ECMP LB
Flow Table, MPLS
L2, L3 Overlay Tunnel routing(VXLAN, NVGRE)
High Frequency Monitoring & PTP
L2, L3 - IPv4, IPv6
Virtual Output Queuing &
Traffic Engineering
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DEEP BUFFERS: NEEDIncast Speed mismatch
Elephant & mice flow in multipath networkMicroburst
8 seconds
1.6 - 2 seconds
600 msec – 1.2 seconds
320 msec
60 msec
280 usec
400 usec
Benefits
o High speed memory & 20-50 msec buffer
o No head of line blocking
o 95% efficient bandwidth efficiency at any traffic load
o Efficient elephant and mice flow handling
o Predictable & measurable quality assurance
Juniper solution
o QFX10000 with Q5 ASIC & hybrid memory cube
o Virtual output queue
o Variable size cell fabric
o Dynamic load balancing
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Ethernet FabricJunos Fusion
SOLUTION ARCHITECTURES
QFX10000
L2/L3
IP/MPLS Fabric
L3
Multi-tierMC-LAG
L2/L3
L2
Virtual Network
Overlays
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QFX10000 SCALEFeature QFX10002-36Q QFX10002-72Q QFX10008/QFX10016
Routes (IPv4/IPv6) 256K
Host Routes 2M
MACs Up to 256K Up to 512K Up to 1M
ARPs Up to 144K Up to 256K Up to 256K
Multicast Routes / Groups Up to 128K
VoQs 384K
Output queues 8 / port
Forwarding Classes / Loss Priorities 8 / 3
VPNs 4K
Labels 32K / 80K / 32K
L2 Domains 4K FRS (16K FRS+1)
GRE tunnels 4K
LAGs 72 144 1K
Members / LAG 64
ECMP 64-way
Filters / Policers 8K / PFE
Filter Terms 64K / PFE
vMembers 256K
SPAN / RSPAN/ ERSPAN 48 sessions
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SOFTWARE LICENSING
BaseL2, IPv4/6
Routing Protocols: OSPFv2/3, PIM v4/6
PFLAdvanced Routing Protocols:
BGP v4/6, ISIS v4/6Overlays: VxLAN, OVSDB, EVPN-VxLAN
AFLMPLS: L3VPN, L2VPN, EVPN, MVPN, FRR
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QFX5100-AA
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QFX5100-AA: Application Acceleration Switch
40G Data Center switch
Network application hosting on native Guest VMs
Innovative hardware design
Very low latency up to 550ns*
Carrier grade JUNOS network operating system
Holistic data center network solutions – Connect seamlessly, Simplify network operations
*Based on Broadcom PFE value. Lower latency values can be derived from PFA depending on the custom application logic
Application Acceleration Switch
QFX5100-AA
24x40G QSFP+ ports 4x40G FPGA ports
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QFX-PFA: Packet Flow Accelerator Module
Optional add-on FPGA Packet Flow Acceleration module
Accelerate compute intensive, real-time business critical application processing
Use Java to program packet flows through FPGA
Lower latency based on logic customization
Packet Flow Accelerator Module
QFX-PFA
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24x40GE
Base System – Application Acceleration Switch
Routing Engine –Junos VM (System)
Guest VMUser Application
KVM Hypervisor
Linux Host OS
QFX5100-AA Switch: Use Cases
• Host network applications and containers in Guest VMs native to switch• Performance monitoring/ analytics
applications
• Cloud Analytics Engine Compute agentPre-built AnalyticsD Collector
• Wireshark in text version
• Container support to run Docker on CentOS
• Hadoop Map Reduce
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Comparing QFX5100 and QFX5100-AA Feature QFX5100 QFX5100-AA
CPU Dual Core 1.5 Ghz Quad Core 2.5 Ghz
Memory 8GB 32 Gb
Storage 32GB 128GB
Guest VM I/O Bandwidth 1 Gbps 20 Gbps
MPLS Yes Yes
L3VPN Yes Yes
ISSU YesYes (without PFA
module)
BGP Yes Yes
VxLAN Yes Yes
IS-IS Yes Yes
Virtual Chassis Yes No
Virtual Chassis fabric Yes No
IPCLOS fabric Yes No
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Junos Fusion
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Coherent Data Center Fabric Architecture
Q: W
he
n
a bear
fights a
shark,
wh
o
win
s? A:
It d
ep
end
s o
n
wh
ether
the figh
t w
as on
th
e b
each
or
in th
e w
ater.
We
sho
uld
p
ick the
locatio
n
wh
ere w
e ch
oo
se to
invest
ou
r en
ergy figh
ting.
Multi-tier
MC-LAG VCF Junos Fusion
IP
Fabric
Ethernet Fabric
JUNOS: one common operating system for all fabrics
Business Critical IT & Private Cloud SaaS, Web Services
QFabric
<4,260Servers < 1,500 Servers 10,000+<6,000 Servers
Virtual Network
…
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What is Junos Fusion?
Data center networking with simplified management
at scale
Open Standards & programmability
IEEE 802.1BR and JSON-RPC APIs
Resilient
Plug-and-play provisioning
1GE-100GE
Junos Fusion
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Cascade
Port
Upstream
Port
Extended Port
Server/Storage Ports
1GE/10GE/40GE
Junos Fusion
Junos Fusion Terminology
Aggregation
Device
Satellite
Device
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Internal and External Ports
Junos Fusion
Internal Ports
IEEE 802.1BR
External Ports
Any Protocol
Routers,
Switches,
Server ,
Storage ,
Appliances
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Simplicity of Operations at Scale
Junos Fusion
Single Point of configuration & management for DC POD
of up to 128 racks (64@FRS)
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High Availability: Dual Control Planes
Junos Fusion
Active-active route engines for maximum resiliency
Active REs can run different Junos version for maximum availability
& separation
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Flexible Deployment Models
• MC-LAG style of provisioning
• Server dual homing across satellites on two different fusion clusters
• Single homed satellites
• Simplified provisioning
• No MC-LAG peer configuration CLI
• ICL VLAN auto-provisioning
• Auto provisioned LAGs between AD and SD
• Server dual homing across two satellites in same fusion cluster
Junos Fusion Junos Fusion Junos FusionMC-LAG
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SATELLITE DEVICESAGGREGATION DEVICES
Supported Aggregation and Satellite Devices
QFX10000 series
FRS with QFX10002 15.1X53-D15EX4300 Copper (1GE)QFX5100 (10GE/40GE)
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Modes of Operation
• Extended Mode
• All traffic from SD is sent to AD for forwarding
• Local Switching Mode
• Traffic to destinations on originating SD switched locally
• Traffic to non local destinations sent to AD for forwarding
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Extended Mode
Aggregation Device
IEEE 802.1BR
Satellite Device
0 1 n
0 1 n
In extended mode, each physical port on satellite device is represented in the
aggregation device management/control/forwarding plane.
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Extended Mode: Forwarding
Ethernet
HeaderPayload
Ethernet Traffic
IEEE 802.1BR traffic
Aggregation Device
Satellite Device
1 2
0 1 n
Ethernet
HeaderPayload
IEEE
802.1BR
ECID: Port 1
Ethernet
HeaderPayload
IEEE
802.1BR
ECID: Port 2
Ethernet
HeaderPayload
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Local Switching Mode
Aggregation Device
API Interface to AD &
3rd Party Applications
Satellite Device
0 1 n
0 1 n
• In local switching mode, API interface (JSON-RPC) can be used from AD to configure local switching on SD
• IEEE 802.1BR alone does not provide these additional functions
• Local switching mode uses a combination of IEEE 802.1BR and JSON-RPC API
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Forwarding Applications with API
Aggregation Device
Satellite Device
0 1 n
Ethernet
HeaderPayload
Ethernet
HeaderPayload
Sniffer/MonitoringDevice
App-1
Storage
App-2
Transactional data
APPLICATIONS ENABLED WITH API BETWEEN SD & AD
• Local Switching for destination on same SD
• Port Mirroring
• Application Specific uplink selection
• Storage vs transactional data traffic
• Mice vs elephant flows
• Port based pinning (Coarse)
• Flow based pinning (Granular)
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Examples of Applications Enabled Using APIAPIs in Extended and Local Switching Mode
• Interface Statistics Collection
• Software Image Management
• Environmental monitoring
• Visibility (Centralized event monitoring)
• Traffic Steering (Only available in local switching mode)
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High Level Software Architecture
Satellite
Device
Satellite Network OS
LLDP API
(json-rpc)
Aggregation
Device
IEEE802.1BR CSP
CSP: Control and Status Protocol
Yocto Linux
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Software Upgrade
• SD software management from AD
• 3rd party application or Network Director using REST/JSON API
• SD Software image automatically upgraded when discovered
• Group SDs into different software upgrade groups for flexibility
• SDs in different software upgrade groups can have different image
Junos Fusion
Software Upgrade
Group 1
Software Upgrade
Group N
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NG Satellites without SW Upgrade on AD
Next Gen Satellite
Junos Fusion
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Connecting Multiple Junos Fusion Systems
EVPN-VXLAN
Fusion-2
Fusion-1
Fusion-4
Fusion-3
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Cloud Analytics Engine
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CLOUD ANALYTICS ENGINE
Cloud Analytics Engine (CAE)
Network tells you what you need to know
Automated, proactive, end-to-end
Visualize and correlate physical and virtual
Data collected streamed at wire rate
Application-centric view of intelligent network
User requests data from
device
User driven, per-device
Low frequency and capacity data extraction
You need to know what you want to know
Limited visibility into virtual tunnels and paths
Network-centric approach to data collection
The Old Way
Analytics
DevOps
OperationsApps
Developer
Network Admin
Application Visibility & Performance Management
Capacity Planning and Optimization
Troubleshooting & root cause analysis
CAE Use Cases
CAE enables Co-ordinated problem solving across teams –
improving IT efficiency and reducing cost
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Analytics and Orchestration Layer
USE CASE: PATH DETECTION & VISIBILITYProvide integrated visibility into the actual physical network in use
Compute Node A Compute Node B
Flow Paths
Red App: S1
S1
S2
S3
S4
S2 S4
Green App: S1 S3 S4
Blue App: S1S3
S4S2
REST Call to
Compute Agent
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S1
S2
S3
S4
USE CASE: PATH ATTRIBUTESData Recorded by Device Agent in OAM Reply
Compute Node A Compute Node B
Flow Paths
Red App: S1
S2
S3
S4
S2 S4
Green App: S1 S3 S4
Blue App: S1S3
S4S2
Analytics and Orchestration Layer
• Timestamp of probe ingress and egress
• Per Hop Latency
• Ingress Interface
• Hash Computed Egress Interface
• Buffer and Queue Statistics
• Interface Error Statistics
• Bandwidth Utilization at Ingress and Egress
• ECMP Bucket Utilization
• CPU Utilization
• Memory Utilization
Network Statistics
HostStatistics
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Analytics and Orchestration Layer
USE CASE: LATENCY CALCULATIONSProvide Per Hop Latency per traffic Flow
Compute Node A Compute Node B
S1
S2
S3
S4
REST Call to
Compute Agent
Flow Latency
Red App:
S1
S2
S2 S4
T+1 T+2 T+3
Time stamp:
T+1Time stamp:
T+3
Time stamp:
T+2
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Request
OVERLAY_INFO
Probe
USE CASE: OVERLAY / UNDERLAY CORRELATIONProvide integrated visibility into the actual physical network in use
Compute Node A Compute Node B
S1
S2
S3
S4
Analytics and Orchestration Layer
S1
S2
S3
S4
VNI: Red
VNI: Blue
VNI: Green
VM 1 VM 2
VM 3 VM 4
VM 5
VM 6 VM 7
VM 8 VM 9
VM 10
Overlay Awareness
S1> show analytics overlay vxlan summary
VNI Red: VM1, VM2, VM6, VM7
VNI Blue: VM3, VM4, VM8, VM9
VNI Green: VM5, VM10
Overlay Awareness
S2> show analytics overlay vxlan summary
VNI Red: VM1, VM2, VM6, VM7
VNI Blue: VM3, VM4, VM8, VM9
Overlay Awareness
S3> show analytics overlay vxlan summary
VNI Blue: VM3, VM4, VM8, VM9
VNI Green: VM5, VM10
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Thank you