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Behind the efficient scaling capability of Ellenex's microservices

Writer's picture: Amar MAmar M

Introduction

Ellenex's IoT platform connects thousands of devices, transmitting data day and night. Scaling efficiently—both upwards and downwards—is not just a performance requirement but also an environmental responsibility. This blog post will delve into the architecture that makes this possible, from our UDP server to our AWS Lambda-based data processing pipeline.


The UDP Server: The Gateway for IoT Devices

The UDP server plays a crucial role in our architecture. It is an ECS workload that receives data from our devices, decrypts, and queues it for further processing. This is one of the services in our pipeline that doesn't fully scale all the way down to 0 as it needs to have at least one instance running to listen for connections. But this isn't inefficient as our devices communicate throughout the day and at no point in time is the UDP server idle.


AWS Lambda: The Backbone of Data Processing

Our suite of microservices is deployed as AWS Lambda functions. Each function is designed to do one specific task, adhering to the principle of separation of concerns. For instance, when adding a new device, an endpoint is invoked to check for permissions, followed by data copying from a device model to create the new device. This selective invocation of functions drastically reduces resource usage compared to monolithic architectures.


The performance of our system is a testament to its efficient design. The average latency on our most-used function is just 120ms. These efficiencies come in handy when we try to invoke multiple functions for a business flow and also when there is an incident and a group of devices start high-frequency sampling and we need more computing to receive and process these high volumes of data.

We saved more than 1.1MTCO2e over the last 5 years.

Environmental Impact

Computing has a carbon footprint, and at Ellenex, we take our environmental responsibilities seriously. Though we haven't yet measured the exact carbon emissions reduced by the use of microservices compared to a monolith, we do monitor our overall reduction by using AWS, and according to the AWS Carbon Footprint tool, we saved 0.8MTCO2e over the last 3 years.


Conclusion

Efficient scaling is vital for performance and sustainability. At Ellenex, we have optimized every layer of our architecture to ensure both. With the constant improvements and the switch to ARM-based processors, we aim to further minimize both latency and environmental impact.



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  • Air Compressor Operation Monitoring

  • Asset Cathodic Protection Monitoring

  • Asset Temperature Monitoring

  • Boilers Pressure and Temperature Monitoring

  • Building Structural Health Monitoring

  • Chemical Tanks Level Monitoring

  • Data Centre and Clean Room Pressure Monitoring

  • Diesel Delivery Management

  • Differential Pressure Monitoring

  • Dump Truck Overload and Operation Monitoring

  • Dust Collection System Monitoring

  • Farm Fish Operation Monitoring

  • Flood Monitoring

  • Frozen Food Delivery Management

  • Grain Silo Level Monitoring

  • HVAC Air Filter Performance Monitoring

  • HVAC Airflow Monitoring

  • Hydraulic Systems Overload Monitoring

  • Industrial Gas Cylinders Level Monitoring

  • Industrial Water Meters Digitalisation

  • Land Movement Monitoring

  • Liquid Storage Tank Level Monitoring

  • Manhole Blockage Monitoring

  • Milk Tank Level Monitoring

  • Negative Pressure Monitoring

  • Operational System Digitalisation

  • Pipe Temperature and Pressure Monitoring

  • Pump Pressure Monitoring

  • Rain Level Monitoring

  • Remote Diesel Tank Level Monitoring

  • Soil Moisture Monitoring

  • Trucks Overload Monitoring

  • Underground Water Pipeline Pressure Monitoring

  • Waste Liquid Delivery Management

  • Wastewater Pipe Pressure Monitoring

  • Water Filter Performance Monitoring

  • Water Quality Monitoring

  • Water Supply Monitoring

  • Water Tank Level Monitoring

  • Water Wells Level Monitoring

Key pre-configured Industrial IoT solutions

Main Industrial IoT Sensors: 

  • PTS2: Industrial Pressure (0.2bar to 1,000bar)

  • PTC2: Corrosive Resistant Pressure

  • PTD2: Pressure Sensor with Built-in Temperature Sensor

  • PTDH2: High Temperature Pressure and Temperature Sensor

  • PTG2: Pressure with Built-in GPS

  • PTS3: IP68 Pressure Sensor

  • PTF2: Flush Type Pressure Sensor

  • PTF2: Thich film Flush type Pressure

  • PTE2: Earth Pressure Sensor

  • PDS2: Industrial Differential Pressure Sensor

  • PDG2: DP with Built-in GPS

  • PDT2: Ultra Low Range Air Pressure and Temperature

  • PLS2: Submersible Level (1m to 200m range)

  • PLC2: Corrosive Resistant Level (Titanium)

  • PLD2: Level Sensor with Built-in Temperature

  • PLG2: Level Sensor with Built-in GPS

  • PLS3: Submersible Level Sensor with IP68 Housing

  • PLM2: Well Level Sensor (15.8mm Sensor Head, 2in Housing)

  • PLMD2: Well Level and Temperature Sensor

  • TTS2: Industrial Temperature Sensor

  • TTG2: Temperature Sensor with Built-in GPS

  • TTS3: Temperature Sensor with IP68 housing

  • TTS2: Pipe Temperature Sensor

  • DUS3: IP68 Ultrasonic Level Sensor

  • DRC3: IP68 Corrosive Radar Sensor (8m and 30m range)

  • FMS2: Industrial Water Meter Interface

  • CSD2: Conductivity Salinity and Temperature sensor

  • CTR2: Turbidity and Temperature Sensor

  • CPH2: pH, ORP and Temperature Sensor

  • CDO2: Dissolved Oxygen and Temperature Sensor

  • MSS2: Soil Moisture Sensor

  • MAS2: Outdoor Humidity Sensor

  • MRS2: Rain Sensor (Tipping bucket)

  • ECP2: Cathodic Protection Sensor

  • RS1-4/20: Single channel 4-20mA Interface

  • RS1-P: Single channel Pulse Interface

  • RS1-SDI: Single channel SDI-12 Interface

  • RS1-M: Single channel Modbus Interface

  • RS1-Pt: Single channel Pt100 Interface

  • RM1: Multi-channel Interface

  • RM4-4/20: Multi-channel Interface (4 x 4-20mA Sensor)

  • RM4-Pt: Multi-channel Interface (4 x Pt Sensor)

  • RM4-M: Multi-channel Interface (4 x Modbus)

  • RM4-mV: Multi-channel Interface (4 x mV Sensors)

  • RM4-Pulse: Multi-channel Interface (4 x Pulse Counter)

  • RM4-0/10: Multi-channel Interface (4 x 0-10V Sensor)

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