Cloud Analytics Engine

Data Sheet

1

Product Overview

Cloud Analytics Engine is a

next-generation analytics tool

designed for complex, dynamic

data centers of any size. Using

network data analysis to improve

application performance and

availability, Cloud Analytics

Engine performs data collection,

correlation, and visualization to

help customers better understand

workload and application

behavior across the physical and

virtual infrastructure.

Product Description Juniper Networks® Cloud Analytics Engine provides “network context” to applications. As

more and more applications are moved to public and private clouds, security, application

performance, and application availability are becoming significant challenges. With

the growth of network virtualization, Infrastructure as a Service (IaaS) and Software as

a Service (SaaS) offerings, public, private, and hybrid clouds, and the proliferation of

business-critical applications running in the cloud, networks have to be more flexible and

application-aware than ever to dynamically meet service-level agreements (SLAs).

While traditional network diagnostic tools like SNMP, CLI, or traceroute are useful, they were

designed for static networks that supported silos of applications. Modern data centers, on

the other hand, are all about agility, flexibility, efficiency, and simplicity, requiring a new set

of tools that can help customers deal with these emerging requirements. Cloud Analytics

Engine provides an aggregated and detailed level of visibility, tying applications and the

network together to deliver an application-centric view of network status, improving

customers’ ability to quickly roll out new applications and troubleshoot problems.

Figure 1: Cloud Analytics Engine offers an application-centric view of the network.

Cloud Analytics Engine

Your ideas. Connected.™

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 tells you what you need to know

Automated, proactive, end-to-end

Visualize and correlate physical and virtual

Data collected streamed at wire rate

Network-centric approach to data collection Application-centric view of intelligent network

User requestsdata from

device

The Old Way Cloud Analytics Engine

NetworkStreams Data

2

Data SheetCloud Analytics Engine

Architecture and Key ComponentsCloud Analytics Engine consists of the following key software

components:

• Cloud Analytics Engine Junos OS component: Built into

Juniper Networks Junos® operating system releases on

supported Juniper switches, this software component

processes requests from the Compute Agent to collect

data, which is then sent to the Compute Agent.

• Compute Agent: Installed on virtual or bare-metal compute

nodes, the Compute Agent works with the Cloud Analytics

Engine Junos OS component to collect and configure the

requested data from network devices. The Compute Agent

is controlled by either an API or by the Data Learning Engine

component.

• Data Learning Engine: An optional software component

installed on compute nodes that store structured data

collected from the Compute Agent, the Data Learning

Engine provides longer storage and additional processing

of network analytics data. The engine also provides

a REST API for integrating with Junos Space Network

Director, allowing the application to configure analytics

data collection and visualize network analytics data.

Other applications can also use the REST API to integrate

with Cloud Analytics Engine. For information on how

Cloud Analytics Engine works with Network Director,

please visit www.juniper.net/assets/us/en/local/pdf/

datasheets/1000428-en.pdf.

Cloud Analytics Engine WorkflowCloud Analytics Engine features the following workflow:

1. Generating cloud analytics data: The Cloud Analytics

Engine can start generating data using Network Director,

the Data Learning Engine REST API, or the Compute Agent

API. Customers can select the data they want to generate

by specifying an application flow or a Virtual Extensible LAN

(VXLAN) tunnel to monitor. Each device in the path of a

monitored application flow or tunnel that supports the Cloud

Analytics Engine generates cloud analytics data for that flow

or tunnel.

2. Viewing or collecting the generated data: Customers can

use Show commands on networking devices to view certain

cloud analytics data. Like generating data, there are different

ways to collect cloud analytics data: Network Director, the

Data Learning Engine REST API, or the Compute Agent

API. Customers can select the data they want to collect by

specifying an application flow or a VXLAN tunnel.

3. Viewing the collected data: Both the Compute Agent API

and the Data Learning Engine REST API return analytics data

in JSON format. Network Director reads the data and displays

the information in a format that allows the user to visualize it.

Any other third-party tool can be used to view collected data

through open and standard API interfaces.

Figure 2: Cloud Analytics Engine components

Physical Hostwith Hypervisor

QFX Series/EX Series Switches

Junos OS


Junos OS


Junos OS

Open API Open Schema

Data Center NetworkInfrastructure

Orchestration

Data Learning Engine Network Director

VM VMCA

Physical Hostwith Hypervisor

VM VMCA

VM VM

http://www.juniper.net/assets/us/en/local/pdf/datasheets/1000428-en.pdf

http://www.juniper.net/assets/us/en/local/pdf/datasheets/1000428-en.pdf

3


Features and BenefitsCloud Analytics Engine enables:

• Application visibility and performance management by

controlling application flows and workload placement

• Capacity planning and optimization by detecting hotspots

and monitoring latency and microbursts

• Troubleshooting and root cause analysis by correlating

overlay and underlay network

Figure 3: Cloud Analytics Engine use cases

The Cloud Analytics Engine can be used by different IT teams,

either independently or in collaboration, to troubleshoot root

cause application or network performance and availability

problems, eliminating finger pointing between groups while

improving IT efficiency and reducing costs.

End-to-End Network Visibility and Flow Path Analysis

The Cloud Analytics Engine provides network data analysis to

improve application performance and availability by associating

flows with specific applications across the physical and virtual

infrastructure. This enhances the ability to quickly roll out new

applications and troubleshoot problems. The Cloud Analytics

Engine not only shows paths but also end-to-end, hop-by-hop

latency for the application. It also detects microbursts in the

network and identifies specific applications impacted by the activity

(see Figure 4).

Network and Host Statistics

The Cloud Analytics Engine collects hop-by-hop network and

host statistics in addition to flow path (see Figure 5).

Overlay-Underlay Correlation

As networks get virtualized, it becomes harder to troubleshoot

without having visibility into both the overlay and underlay

infrastructure. The Cloud Analytics Engine not only provides

overlay visibility, it helps network administrators correlate overlay

issues to the specific underlay network entity that is causing the

problem, reducing the time required to troubleshoot issues that

arise with network virtualization (see Figure 6).

The Cloud Analytics Engine also shows all VXLAN virtual tunnels

across the network, along with virtual machine (VM) information

that is carried across specific virtual tunnels.

Application Visibility andPerformance Management

Capacity Planningand Optimization

CloudAnalytics

EngineUse Cases

Troubleshooting andRoot Cause Analysis

Figure 4: Application flow path visibility

Flow Paths

Red App: S1 S2 S4 CA-B

Green App: S1 S3 S4 CA-B

BlueApp: S1S2S3

S4 CA-B

Flow Latency

Time stamp:T+1

Time stamp:T+3

Time stamp:T+4

Time stamp:T+2

S1

Red App: T+1

S2

Compute Node A

Network Director

S1 S4

S2

REST Call toCompute Agent

Compute Node B

T+2

S3

T+3

CA-B

T+4

End To End Latency: 4

4


Figure 5: Network and host statistics information provided by the Cloud Analytics Engine

Figure 6: Overlay-underlay correlation provided by Cloud Analytics Engine

Overlay Awareness

S1> show overlay tunnel vtep summary

VNI Red: VM1, VM2, VM6, VM7

VNI Green: VM5, VM10

VNI Blue: VM3, VM4, VM8, VM9

Overlay Awareness

VNI: Blue

VNI: Green

VNI: Red


VNI Red: VM1, VM2, VM6, VM7


Overlay Awareness


VNI Green: VM5, VM10


Compute Node A

Network Director

S1 S4

S2

Compute Node B

APP

VM 1

OSAPP

VM 3

OS

APP

VM 3

OSAPP

VM 4

OS

APP

VM 5

OS

APP

VM 1

OSAPP

VM 3

OS

APP

VM 3

OSAPP

VM 4

OS

APP

VM 5

OS

Flow Paths

Red App: S1 S2 S4 CA-B

Green App: S1 S3 S4 CA-B

BlueApp: S1S2S3

S4 CA-B

Compute Node A

S1 S4

S2

S3

Compute Node B

• Timestamp of Probe Ingress and Egress• Per Hop Latency• Ingress Interface• Hash Computed Egress Interface• Bu�er and Queue Statistics• Interface Error Statistics• Bandwidth Utilization at Ingress and Egress• ECMP Bucket Utilization

• CPU Utilization• Memory Utilization

NetworkStatistics

HostStatisitics

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Phone: 888.JUNIPER (888.586.4737)

or +1.408.745.2000

Fax: +1.408.745.2100

www.juniper.net

Copyright 2015 Juniper Networks, Inc. All rights reserved. Juniper Networks, the Juniper Networks logo, Junos

and QFabric are registered trademarks of Juniper Networks, Inc. in the United States and other countries.

All other trademarks, service marks, registered marks, or registered service marks are the property of their

respective owners. Juniper Networks assumes no responsibility for any inaccuracies in this document. Juniper

Networks reserves the right to change, modify, transfer, or otherwise revise this publication without notice.

APAC and EMEA Headquarters

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Boeing Avenue 240

1119 PZ Schiphol-Rijk

Amsterdam, The Netherlands

Phone: +31.0.207.125.700

Fax: +31.0.207.125.701


1000528-001-EN Feb 2015

Specifications Supported Platforms

Switching Platform: QFX5100 switches

Junos OS Release: 14.1X53

Compute Platform: Centos 6.5 Bare-Metal Server or KVM

Hypervisor

Compute Agent API Resources:

For information on all available APIs, please visit ggwww.juniper.

net/techpubs/en_US/junos14.1/information-products/pathway-

pages/qfx-series/cloud-analytics-engine-ca-api.pdf.

Unsupported Juniper or Third-Party Devices

For Cloud Analytics Engine to provide complete end-to-end

visibility, all networking devices must support the Cloud Analytics

Junos OS component in order to communicate with the Compute

Agent probes. The Cloud Analytics Engine will work with devices

that do not support this component, including non-Juniper

devices, in the application flow path, but the only data it will

collect from them is their IP address and hop number.

Juniper Networks Services and Support

Juniper Networks is the leader in performance-enabling ser-

vices that are designed to accelerate, extend, and optimize your

high-performance network. Our services allow you to maximize

operational efficiency while reducing costs and minimizing

risk, achieving a faster time to value for your network. Juniper

Networks ensures operational excellence by optimizing the net-

work to maintain required levels of performance, reliability, and

availability. For more details, please visit www.juniper.net/us/en/

products-services.

Ordering Information Cloud Analytics Engine is sold as a solution for 25, 50, or 100

devices. The SKU pricing includes the price of agents running

on virtual or bare-metal compute devices. Perpetual and

subscription-based licenses are available for Cloud Analytics

Engine. Subscription licenses include support services, while

perpetual licenses require the purchase of a separate service SKU.

License SKU Name

S-CAE-25 Cloud Analytics Engine Solution License for 25 Devices; Perpetual



S-CAE-25-1Y Cloud Analytics Engine Solution 1 Year Subscription License for 25 Devices




About Juniper NetworksJuniper Networks is in the business of network innovation. From

devices to data centers, from consumers to cloud providers,

Juniper Networks delivers the software, silicon and systems that

transform the experience and economics of networking. The

company serves customers and partners worldwide. Additional

information can be found at www.juniper.net.

http://www.juniper.net/techpubs/en_US/junos14.1/information-products/pathway-pages/qfx-series/cloud-analytics-engine-ca-api.pdf



http://www.juniper.net/us/en/products-services

http://www.juniper.net/us/en/products-services

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Documents

Cloud Analytics Engine