endorsedCompleted

Google App Engine Optimization for Real Estate Tech Company

Services Covered:

Cloud Consulting and Services • IT Consulting

Industry

Real Estate

1 month

Budget

Confidential

Start Date

1 August 2020

Team Size

Confidential

Engagement Model

Offshore

Project Capability Score (PCS)

68/100

Good

Project Capability Score (PCS) estimates how capable D3V Technology Solutions is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Los Angeles, United States of America

Project Summary

D3V Technology Solutions performed a Google App Engine infrastructure analysis and optimizations for a real estate technology company to resolve scalability and recurring latency (502 timeout) issues. They implemented Cloud Operations dashboards, whitebox monitoring and distributed tracing (Cloud Tracing via OpenTelemetry/Zipkin), and applied app-level optimizations such as lazy loading, global variables, app.yaml tuning, and a warm-up handler. After the engagement, latency issues were resolved and the client had dashboards to monitor application attributes; the vendor was noted for responsiveness and resourcefulness.

Key Challenges

Resolve scalability and recurring high-latency (502 timeout) errors
Setup a Cloud Operations dashboard with additional charts for App Engine services
Implement whitebox monitoring and distributed tracing (Cloud Tracing) to measure HTTP request latency

Project Deliverables

Cloud Operations dashboard with monitoring charts
Response time and latency analysis for App Engine services
Per-endpoint response time charts (6-hour window)
Application optimizations (lazy loading, global variables, app.yaml tuning, warm-up handler)
Distributed tracing via OpenTelemetry and Zipkin

Project Solution

The vendor performed a Google App Engine infrastructure analysis and set up a dedicated Cloud Operations dashboard with multiple charts to narrow down latency issues. They analyzed out-of-the-box response time/latency and memory/CPU utilization charts and added custom charts to plot average response time per App Engine service and per-endpoint response time (six-hour window). The team optimized the application to reduce cold starts by applying lazy loading of dependencies, using global variables, fine-tuning parameters in app.yaml, and adding a warm-up handler. They also implemented distributed tracing using OpenTelemetry auto-instrumentation and Zipkin and guided the client with Site Reliability Engineering (SRE) best practices.

Project Outcome

No longer latency issues after project completion
Multiple monitoring dashboards available for application metrics
Improved collaboration with biweekly meetings and responsive vendor communication

Platforms

Cloud

Tech Stack

Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Latency issues are gone now that D3V Technology Solutions has wrapped up the project successfully. They went out of their way to work through our tricky requirements and tech limitations. Their responsiveness and resourcefulness defined how they worked.
Jack Crane
CTO
Date: 11/24/2020