Software Engineer (DevOps) · 2024

Arlo Devops

Arlo Technologies Inc., California

1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 1 1 1 1 0 0 1 0 1 1 0 1 0 0 1 1 1 1 1 0 1 0 0 1 1 1 0 1 0 1 1 1 0 0 1 0 0 1 1 1 1 0 0 1

The Challenge

Arlo Technologies serves millions of users with smart home security cameras. The CI/CD pipeline was functional but slow — build times ate into developer productivity, deployment success hovered at ~95%, and the GoldenQA-to-production handoff had manual friction points.

The Approach

Embedded directly into the DevOps pipeline, optimizing three pillars: CI/CD pipeline overhaul (Jenkins, Harness, Helm), backend infrastructure optimization (Java/Spring Boot + DynamoDB), and triple-layer observability (Splunk + Instana + Grafana).

The Solution

Standardized deployment across Jenkins, Harness, and Helm charts with reusable templates
Redesigned subscription management with optimized DynamoDB access patterns
Triple-layer observability: Splunk (logs) + Instana (APM) + Grafana (metrics)
Python automation for cache refresh, pod lifecycle, and deployment analytics
AWS Lambda event-driven processing with least-privilege IAM policies

The Impact

0+ Deployments

0% Success Rate

0% Faster Builds

0% DynamoDB Load Cut

Tech Stack

Java Spring Boot AWS DynamoDB Jenkins Harness Helm Kubernetes Splunk Grafana

“At the scale of millions of IoT users, every percentage point matters. 99% deployment success across 150+ releases transformed delivery from a bottleneck into a competitive advantage.”

Read the Deep Dive DevOps at Scale: 150+ Deployments at Arlo →

Next Case Study F1jobs →