Tenzaa's Tech Blog
This site is dedicated to sharing IT-related technologies.
Utilizing Redis Streams for a Resilient MLOps Data Ingestion Layer from Swift Applications Utilizing Redis Streams for a Resilient MLOps Data Ingestion Layer from Swift Applications
The core pain point was latency. Our on-device personalization models, running in a native Swift application, were updat
2023-10-27 MLOps
Redis Streams MLOps Data Engineering Swift System Design
Building a Unified Application Environment for Python Services and Micro-frontends with Crossplane Compositions Building a Unified Application Environment for Python Services and Micro-frontends with Crossplane Compositions
Our platform team was a bottleneck. Every feature squad, running with a Python backend and a collection of micro-fronten
2023-10-27 Cloud Native
Python Kubernetes Crossplane Micro-frontends Platform Engineering IDP
Implementing Fine-Grained Data Access for Dask Workers Using Dynamic IAM Policies and a NoSQL Datastore Implementing Fine-Grained Data Access for Dask Workers Using Dynamic IAM Policies and a NoSQL Datastore
The initial architecture was straightforward and, in retrospect, dangerously naive. We had a multi-tenant NLP processing
2023-10-27 Cloud Security
Dask Python IAM spaCy NoSQL AWS
Implementing a Hybrid esbuild and Rollup Build Pipeline in GitLab CI for Monorepo Efficiency Implementing a Hybrid esbuild and Rollup Build Pipeline in GitLab CI for Monorepo Efficiency
The CI pipeline for our primary TypeScript monorepo was averaging 45 minutes per run. This wasn’t just an inconvenience;
2023-10-27 DevOps
Monorepo Rollup esbuild GitLab CI/CD CI Optimization
Implementing End-to-End Distributed Tracing Across a Solid.js and Quarkus Application Implementing End-to-End Distributed Tracing Across a Solid.js and Quarkus Application
The incident report was maddeningly vague: “The main dashboard’s data grid is sometimes slow to load after filtering.” O
2023-10-27 Observability
Distributed Tracing Solid.js OpenTelemetry Quarkus Material-UI
Architecting a High-Throughput Ingestion Pipeline Using FastAPI Batching for ClickHouse and SSE Streaming to a Flutter PWA Architecting a High-Throughput Ingestion Pipeline Using FastAPI Batching for ClickHouse and SSE Streaming to a Flutter PWA
The initial system was deceptively simple and fundamentally broken. The requirement was to build a real-time monitoring
2023-10-27 Data Engineering
FastAPI Server-Sent Events ClickHouse PWA Flutter
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