Tag Archives: IoT

3D printing for IoT prototypes -Best Practices and Thumb rules

Through this article, we would like to cover how we leverage 3D printing for various IoT prototype activities. What are some best practices, pit falls, limitations, etc. Application Areas Below are the following use cases or requirements for which we have leveraged 3D printing for IoT Enclosures for small our home grown, purpose built edgeContinue reading “3D printing for IoT prototypes -Best Practices and Thumb rules”

Part3: Use case on Migrating real time IoT data analytics to Edge

Continuing from Part2 , as mentioned in that post, I will explain a real world use case and how we approached it in this article. As-Is Solution Our platform was an industrial asset condition monitoring system developed using GcP IoT Core and other key GCP products. At the factory level, we had our own proprietary industrial gateways whichContinue reading “Part3: Use case on Migrating real time IoT data analytics to Edge”

Part 2 : Guidelines for Moving Real time data processing from Cloud to Edge

Continuing on Part1 , In this article, I will highlight the strategy, steps to follow, things to consider and possibly the best practices to do before moving the real time data analytics load from Cloud to edge. This is mostly aimed to serve as a guideline in architecture and process drafting while the enterprise is moving towardsContinue reading “Part 2 : Guidelines for Moving Real time data processing from Cloud to Edge”

Minimizing cost over-runs in IoT services with Hardware traceability Matrix

I got myself involved in IoT out of my pure interest and passion. With engineering background in Textiles and significant software industry experience, Managing delivery in IoT services is a big challenge. I will describe a approach I have adopted from Waterfall SDLC to control cost and slippages. When we think about IoT, many peopleContinue reading “Minimizing cost over-runs in IoT services with Hardware traceability Matrix”

Part 1 : Apache Beam : Key Pillar in IoT driven Digital Transformation

This is the first of three part series where I will be covering Apache Beam. While this part talks about features and benefits, the next part will give code examples and the last part will detail on how to migrate existing data streaming logics from cloud to edge. Digital transformation has been an overused andContinue reading “Part 1 : Apache Beam : Key Pillar in IoT driven Digital Transformation”

Containerizing Python based AI Model for ARM64 Devices(Raspberry Pi )

At Techolution we are working on deploying complex AI model to edge. While Intel based industrial gateways are generally used in our production deployments, for our experiments and trying out prototypes, we use RaspberryPi. Specially RaspberryPi4 to be specific. Since Linux is the OS which we use for production, we use Linux in our Pi’s as well,Continue reading “Containerizing Python based AI Model for ARM64 Devices(Raspberry Pi )”

How we migrated from GKE to CloudRun and saved Infra costs

GKE is one of the wonderful service offerings from Google cloud. However, just that your services or functionalities are dockerized, does not mean that GKE should be the only choice of runtime to achieve a scalable solution. As cloud providers, especially GCP, keep adding new services in its portfolio, it is essential to see if anyContinue reading “How we migrated from GKE to CloudRun and saved Infra costs”