DATA CENTER SOLUTION

Vladimir Urayev

Sr. DC Sales Specialist, EMEA

Industry Trends

CLOUD ADOPTION

Platforms and Vendors of Choice are … Shifting

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

Cloud Adoption Driving Higher Bandwidth100GbE spending growing to nearly $8 billion over next 4 years

Source: Dell’Oro Ethernet Switch Market Update 1Q2014

WHY JUNIPER NETWORKS?

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

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

DATA CENTER CUSTOMERS

Cloud Operator,SP background

Cloud Operator, automation background

Financial Data Center

Content Provider, Data Center

Enterprise Data Center

QFX10000 LINE OF SWITCHES

Industry’s most scalable, open and future-proof spine/core cloud switches

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

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

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

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

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

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

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

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

Ethernet FabricJunos Fusion

SOLUTION ARCHITECTURES

QFX10000

L2/L3

IP/MPLS Fabric

L3

Multi-tierMC-LAG

L2/L3

L2

Virtual Network

Overlays

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

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

QFX5100-AA

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

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

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

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

Junos Fusion

Coherent Data Center Fabric Architecture

Q: W

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fights a

shark,

wh

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win

s? A:

It d

ep

end

s o

n

wh

ether

the figh

t w

as on

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each

or

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ater.

We

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uld

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ick the

locatio

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wh

ere w

e ch

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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

…

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

Cascade

Port

Upstream

Port

Extended Port

Server/Storage Ports

1GE/10GE/40GE

Junos Fusion

Junos Fusion Terminology

Aggregation

Device

Satellite

Device

Internal and External Ports

Junos Fusion

Internal Ports

IEEE 802.1BR

External Ports

Any Protocol

Routers,

Switches,

Server ,

Storage ,

Appliances

Simplicity of Operations at Scale

Junos Fusion

Single Point of configuration & management for DC POD

of up to 128 racks (64@FRS)

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

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

SATELLITE DEVICESAGGREGATION DEVICES

Supported Aggregation and Satellite Devices

QFX10000 series

FRS with QFX10002 15.1X53-D15EX4300 Copper (1GE)QFX5100 (10GE/40GE)

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

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.

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

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

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)

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)

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

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

NG Satellites without SW Upgrade on AD

Next Gen Satellite

Junos Fusion

Connecting Multiple Junos Fusion Systems

EVPN-VXLAN

Fusion-2

Fusion-1

Fusion-4

Fusion-3

Cloud Analytics Engine

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

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

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

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

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

Thank you