Our Work - Equinix

About the Customer

Equinix is the world’s digital infrastructure company, enabling global enterprises to build and interconnect networks, servers, and data centers at scale. They had developed a promising internal sales enablement tool with a strong prototype and global data visualization capabilities. As the tool matured, Equinix needed a technical partner to stabilize, scale, and prepare it for external release as a SaaS product.

Initially built as a prototype, the platform allowed Equinix to visualize sales and infrastructure data globally. But as the prototype gained traction, it became clear that the tool needed to scale: from internal pilot to full-fledged SaaS product.

The Challenge

Equinix brought in NaNLABS to help make the vision real. Once we joined the project, we identified five core challenges:

An unstable codebase filled with legacy issues

Data processing limits that hurt performance at scale

Weak observability and reactive issue response

Lack of multi-tenancy architecture to support SaaS rollout

Fragmented database management and complex relationships

Gaps in test coverage and QA that slow down safe, consistent deployments

The Solution

Architecture & Platform Stability

Refactored legacy code for maintainability and modularity
Replaced Neo4j as primary DB with MongoDB, improving speed and developer experience
Increased test coverage from 20% to 80% for safer deployments

Data Processing Optimization

Built a hybrid data model using MongoDB, Neo4j, Hazelcast, Kafka, and Google BigQuery
Streamlined ingestion pipelines to improve real-time performance and query efficiency

Multi-Tenancy & Scalability

Restructured Kubernetes deployments with Helm charts for consistent, scalable provisioning
Introduced Cloud Functions and Velero to handle backup, recovery, and event-based operations

Observability & Monitoring

Integrated a monitoring stack using Prometheus, Grafana, and OpenTelemetry
Enabled real-time alerts and visual dashboards for improved recovery and team responsiveness

DevOps Enablement

Automated deployment and environment setup to support rapid delivery
Reduced developer overhead by consolidating CI/CD processe

Cost Optimization

Shifted infrastructure to GCP Reserved Instances, unlocking 30% additional savings
Reduced overall infra costs by 40% while boosting system throughput

The Results

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40% reduction

in infrastructure costs

30% additional savings

via GCP Reserved Instances

3x increase in throughput

enabling better sales team performance

75% faster query response

after transitioning to MongoDB and BigQuery

97.3% uptime

providing a reliable and seamless experience

New revenue stream

unlocked by transforming an internal tool into a scalable SaaS solution

“Overall, working with NaNLABS has been a fantastic experience. We’re able to rely on and trust the team that we are working with. The amount of ownership and investment the team has taken and put into that project is phenomenal.”

Equinix: From Internal Tool to SaaS Platform With 75% Faster Query Times