Tenzaa's Tech Blog
This site is dedicated to sharing IT-related technologies.
Building an Interactive Canary Judgment Stage in Spinnaker with an SNS-Driven Chakra UI Plugin Building an Interactive Canary Judgment Stage in Spinnaker with an SNS-Driven Chakra UI Plugin
The standard “Manual Judgment” stage in a Spinnaker pipeline is functional, but it’s a dead end from a user experience p
2023-10-27 DevOps
Chakra UI AWS Lambda Spinnaker AWS SNS Canary Deployment AWS IoT Core
Securing Multi-Tenant Spark Workloads with Dynamically Generated Cilium Policies via OAuth 2.0 Securing Multi-Tenant Spark Workloads with Dynamically Generated Cilium Policies via OAuth 2.0
The technical pain point was stark: our shared Kubernetes cluster for running Apache Spark jobs had become a security li
2023-10-27 Data Engineering
Security Kubernetes Java OAuth 2.0 Cilium Apache Spark
Constructing an Immutable macOS Development Environment for a Hybrid Haskell and SwiftUI Project Using Packer Constructing an Immutable macOS Development Environment for a Hybrid Haskell and SwiftUI Project Using Packer
The CI pipeline for our cross-stack monorepo was averaging a 47-minute runtime. Onboarding a new engineer required a ful
2023-10-27 DevOps
Packer SwiftUI CI/CD Haskell IaC
Deploying Quantized PyTorch Computer Vision Models for Real-Time Mobile Inference Deploying Quantized PyTorch Computer Vision Models for Real-Time Mobile Inference
The initial performance metrics from the prototype were a non-starter for production. A standard ResNet-18 model, traine
2023-10-27 Mobile Development
Android Mobile Development PyTorch CV Quantization NDK
Automating Svelte Component Versioning and Theming with SCSS and GitHub Actions for Scrum Teams Automating Svelte Component Versioning and Theming with SCSS and GitHub Actions for Scrum Teams
The technical debt began accumulating around Sprint 4. The velocity chart looked great, but the user interface was fract
2023-10-27 DevOps
GitHub CI/CD Svelte Scrum SCSS
Implementing a Zero-Downtime ML Model Serving Architecture with Go-Kit MLflow and Docker Swarm Implementing a Zero-Downtime ML Model Serving Architecture with Go-Kit MLflow and Docker Swarm
The existing machine learning model serving infrastructure was a significant source of operational friction. Each model
2023-10-27 MLOps
Go Microservices Docker Swarm MLflow Kit
27 / 34