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Production-Scale IoT Best Practices: Implementation with Google Cloud (Part 3/3)
Using raw temperature data from IoT sensors to predict when I need to close a window in my house (and which window!)
Optimize data transfer between Compute Engine and Cloud Storage
Maximize throughput between Cloud Storage and Compute Engine VMs
Production-Scale IoT Best Practices: Implementation with AWS (part 1)
How to properly connect IoT devices at-scale and stream data to AWS IoT Core.
Data Streaming in AWS: Too Many Choices
Learn which AWS streaming service is right for your use case
Global-Scale Scientific Cloud Computing with Kubernetes and Terraform (2/2)
Welcome to Part 2 of Global-Scale Scientific Cloud Computing with Kubernetes and Terraform. Herein I share a comprehensive demo of…
Global-Scale Scientific Cloud Computing with Kubernetes and Terraform (1/2)
Execute scientific pipelines at global scale with confidence.
Exporting Google Cloud Monitoring Data to BigQuery Seamlessly
An open-source project to export Cloud Monitoring data to BigQuery for better control and analysis.
Why I Work at DoiT as a Cloud Infrastructure Consultant
I have been working at DoiT International as a Senior Cloud Architect since 2019. Maybe you should too?
Control Costs with Google CloudSQL CUDs
Stop guesstimating your Cloud SQL usage for CUDs. Here’s how to get an accurate breakdown of your Cloud SQL CUD-eligible spend and usage.
Production-Scale IoT Best Practices: Implementation with GCP (Part 1/3)
How to securely register millions of IoT devices streaming telemetry data to your Google Cloud environment.
Kubernetes is removing multiple APIs — here’s how to protect yourself
When not thoroughly reading the K8s release notes can (and will!) backfire at your containerized workloads!
Remote Coding with PyCharm and Google Cloud
A quick tutorial on how to configure your PyCharm to run on a remote GCP instance using an ssh remote interpreter