Apache PLC4X Tutorial: Stream PLC Tags to MQTT and Kafka
A hands-on Apache PLC4X tutorial: read PLC tags over Modbus and S7, bridge them to MQTT and Kafka, and build a vendor-neutral industrial data pipeline.
Flink vs Spark Streaming vs Kafka Streams (2026)
Flink vs Spark Structured Streaming vs Kafka Streams in 2026: processing model, state, exactly-once, latency, and a decision matrix for your streaming workload.
Kubernetes CNI Compared: Calico vs Cilium vs Flannel
A 2026 Kubernetes CNI comparison: Calico, Cilium, Flannel, and Multus on dataplane, eBPF, network policy, performance, and a decision matrix for each cluster.
Apache Iceberg vs Paimon: Lakehouse Table Formats 2026
Apache Iceberg vs Apache Paimon in 2026: streaming upserts, compaction, metadata design, catalog support, and a decision matrix for your lakehouse table format.
Continuous Profiling with eBPF: Flamegraphs in Prod
A hands-on guide to continuous profiling with eBPF: how Pyroscope and Parca capture CPU and memory flamegraphs in production with near-zero overhead.
pgvector vs Dedicated Vector Database: The 2026 ADR
pgvector vs a dedicated vector database in 2026: recall, latency, filtering, scale, operations, and cost - a decision record for choosing your vector store.
Asynchronous Processing Architecture Patterns (2026)
Asynchronous processing patterns for 2026: queues, the outbox pattern, idempotency, backpressure, retries, dead-letter queues, and exactly-once semantics.
Dapr: A Distributed Application Runtime Tutorial (2026)
A 2026 Dapr tutorial: the distributed application runtime explained — building blocks, the sidecar model, state and pub/sub, with working config and deployment.
Grafana Alloy: An OpenTelemetry Collector Tutorial
A 2026 Grafana Alloy tutorial: build an OpenTelemetry collector pipeline for metrics, logs, and traces, with working config, components, and deployment tips.
Apache Pinot vs Apache Druid: Real-Time OLAP ADR (2026)
An ADR-style 2026 comparison of Apache Pinot and Apache Druid for real-time OLAP: ingestion, indexing, query latency, ops cost, and when to pick each.