Contents

How We Modernized Eneida's Smart Grid IoT Architecture with Hybrid Cloud

Eneida DeepGrid® is an operational analytics platform for low-voltage grids. It supports neighborhoods aiming for zero emissions by providing operators with real-time insights and control over local LV networks.

EdgeSense smart sensors—compact IoT devices placed in substations and on poles—capture live data on voltage, current, capacity, and faults, then send this information to the analytics platform. It analyzes the network so operators can sense, optimize, and control the grid.

Thanks to this setup, more electric vehicle chargers and rooftop solar systems can be added without costly upgrades. Outages become less common, and each neighborhood gets closer to reaching zero emissions.

Jump straight to a key chapter

Project Description
Provided Services
Work Agenda

The Main Project Challenge
Solutions
Results

Project Description

Previously, each Eneida’s customer ran its own instance of the platform and managed it on their side. Our client decided to switch to a central system, where customers can access it on a subscription basis.

At first, our client was working with an AWS/EKS setup, but they found it to be too expensive and not powerful enough to handle their needs.

We stepped in to design a centrally managed platform that gives the business a clear, subscription-based path forward. It needed to be both budget-friendly and robust enough to process massive streams of sensor data.

Provided Services

DevOps services

Infrastructure and architecture design
CI/CD automation

Cloud adoption

Cloud migration services

Kubernetes managed services

Efficient scaling
Cost-savings
Faster deployments

Work Agenda

Client

Eneida DeepGrid® is an operational analytics platform for low-voltage grids

Location

Portugal

Technical team

2 DevOps engineers
CTO
Project manager

Project timeframe

September 2023 - June 2024

The Main Project Challenge

Some customers operate in countries with strict data-residency rules. This means all customer information has to stay within the country's borders, whether it's stored, processed, backed up, or recovered. Practically, this pushes the architecture toward separate, country-specific deployments.

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Solutions

1. Cost-first planning (FinOps)

We tested several regions and providers and evaluated how the price compares to performance. Based on this, we created a plan for deployment and ongoing monthly costs, aiming to coordinate different regions and providers to work together while keeping expenses as low as reasonably possible.

2. Hybrid Kubernetes setup

We set up a hybrid Kubernetes environment, with the master node hosted on Microsoft Azure and worker nodes running on Hetzner's bare-metal servers. This approach simplifies control on Azure and shifts the heavy workload to fast, affordable hardware. In addition, we chose Hetzner for Europe because of the data centers located within the EU, which meets European clients' data requirements.

3. Smoother CI/CD

We improved the CI/CD process by simplifying build and deployment workflows and reducing manual steps to make releases more consistent and repeatable.