What challenges did Juniper Networks face before AI implementation?

Network teams needed device-level insight across tens of thousands of devices. Troubleshooting was laborious and required back-and-forth with customers. Outages for critical networks could cost millions per minute of downtime.

What was the impact of the AI solution?

Juniper reduced costs by 30 times. The company is targeting at least a 20% reduction in mean time to resolution. A large customer estimated JSI helped avoid 10 outages that would have cost millions. Customers reported flat costs while using the advanced capabilities of JSI.

Rank#977of 3,449

Source

Scaled productionEvidence: Medium65/100

Juniper Networks Saves Customers Millions of Dollars Using AWS Lambda

Use case typeIT operationsUpdated Jun 13, 2026

Juniper Networks built Juniper Support Insights (JSI) to securely automate the customizable collection and reporting of customer device data at scale. The solution uses a serverless edge-to-cloud architecture on AWS to give network teams better device-level insight across tens of thousands of devices and reduce the back-and-forth required for troubleshooting. Juniper says the approach improves customer support and operational experience while enabling proactive issue prediction, device end-of-life planning, and secure data handling.

Organization: Juniper Networks
Industry: Tech & Comms
Location: United States
Published: May 2026

Reported outcomes

30x

timeTime & speed

−20%time

Strategic outcomes

New product / capabilityBuilt a serverless support insights platformBetter decisions & insightImproved device-level operational insightCustomer experience & trustImproved customer support experienceRisk & complianceEnabled secure data handling

Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 30 x decrease

AWSMay 23, 2026Customer storyInferred claimMedium evidence strength

Juniper reduced costs by 30 times.

Normalized claim

Time: 20% decrease

AWSMay 23, 2026Customer storyInferred claimMedium evidence strength

The company is targeting at least a 20% reduction in mean time to resolution.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Juniper Networks
Provider: AWS
Maturity: Scaled Production
Linked source: AWS

Juniper Networks built Juniper Support Insights (JSI) to securely automate the customizable collection and reporting of customer device data at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Customer Support Automation
2Predictive Maintenance
3IT Operations

Network teams needed device-level insight across tens of thousands of devices.
Troubleshooting was laborious and required back-and-forth with customers.
Outages for critical networks could cost millions per minute of downtime.

Juniper designed Juniper Support Insights (JSI) as a serverless edge-to-cloud architecture using AWS IoT Greengrass and AWS Lambda.
AWS IoT Greengrass provides the edge runtime for device software, while AWS Lambda handles serverless, event-driven processing.
The platform securely automates collection and reporting of customer device states without leaving residual data on the edge device.

Technologies

AWS Lambda AWS IoT Greengrass

Juniper reduced costs by 30 times.
The company is targeting at least a 20% reduction in mean time to resolution.
A large customer estimated JSI helped avoid 10 outages that would have cost millions.
Customers reported flat costs while using the advanced capabilities of JSI.

Architecture

Serverless edge-to-cloud architecture using AWS IoT Greengrass at the edge and AWS Lambda for event-driven processing to securely collect and report customer device states.

Sources & evidence1

Evidence: Medium65/100Evidence strength