Tag: #season-2
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 7 posts
7 posts are tagged #season-2; the most recent was published on 2026-04-15.
Often tagged together: #ab-testing 1 #ai-engineering 1 #airflow 1 #asyncio 1 #b-tree 1
Most read in the last 90 days:
- Observability Complete Guide — Metric, Log, Trace, OpenTelemetry, eBPF, SLO (Season 2 Ep 9, 2025)
- MLOps Complete Guide — Model Serving, Feature Store, Drift, A/B Testing, GPU Economics (Season 2 Ep 7, 2025)
- Data Engineering Complete Guide — Lakehouse, Streaming, dbt, Orchestration, Data Mesh (Season 2 Ep 8, 2025)
Python Complete Guide — FastAPI, AsyncIO, Pydantic, uv, Polars, AI Engineering (Season 2 Ep 5, 2025)
Python used to be the "slow, GIL-locked" language. The 2024-2025 Python is a completely different beast — free-threading (No-GIL) experiment, JIT compiler, the revolutionary uv package manager, Polars with a Rust-backed
2026-04-15 · 11 min read #python#fastapi#asyncio#pydantic#uvObservability Complete Guide — Metric, Log, Trace, OpenTelemetry, eBPF, SLO (Season 2 Ep 9, 2025)
"If you cannot observe it, you cannot operate it." Observability is the superset of logging and monitoring — the ability to infer unknown unknowns from system state alone. This post covers the Metric, Log, Trace three-pi
2026-04-15 · 11 min read #observability#opentelemetry#prometheus#grafana#lokiMLOps Complete Guide — Model Serving, Feature Store, Drift, A/B Testing, GPU Economics (Season 2 Ep 7, 2025)
Training a model and running it in production are completely different games. Serving (TorchServe, Triton, vLLM, TGI), Feature Stores (Feast, Tecton), training infra (Ray, Determined), experiment tracking (MLflow, W&B),
2026-04-15 · 12 min read #mlops#model-serving#feature-store#drift-detection#ab-testingDistributed Systems Complete Guide — Clocks, Consensus, Event Sourcing, Saga, CRDT, Failure Patterns (Season 2 Ep 12, 2025)
A distributed system looks like "several computers cooperating," but what it really is: "several computers whose clocks disagree, some of them broken, reaching agreement across a network that loses and delays messages."
2026-04-15 · 13 min read #distributed-systems#consensus#raft#paxos#lamport-clockData Engineering Complete Guide — Lakehouse, Streaming, dbt, Orchestration, Data Mesh (Season 2 Ep 8, 2025)
Data engineering is no longer "running ETL scripts." In 2025 a data engineer designs Lakehouse architectures (Iceberg, Delta, Hudi), combines Streaming (Flink, Kafka) with Batch (Spark), standardizes modeling with dbt, r
2026-04-15 · 10 min read #data-engineering#lakehouse#iceberg#delta-lake#hudiDatabase Complete Guide — Internals, Indexes, Query Planner, Partitioning, Vector DB (Season 2 Ep 13, 2025)
Treat a database as nothing but "the place where SQL goes" and you stay junior forever. The internals of B-Tree, LSM-Tree, and Hash Index; how the query planner turns a query into an execution plan; the four transaction
2026-04-15 · 14 min read #database#postgresql#b-tree#lsm-tree#indexingGo Complete Guide — Goroutine, Channel, Context, and Real-World Microservices (Season 2 Ep 3, 2025)
Go is famous for being easy to learn, but real production Go is full of non-obvious traps: Context propagation, Goroutine leaks, Channel deadlocks, nil interface gotchas. This post covers the true meaning of Go philosoph
2026-04-15 · 13 min read #go#golang#goroutine#channel#context