You might find something interesting here ^_^
This guide explains how StackGres 1.6 uses custom Kubernetes CRDs—SGPostgresConfig, SGInstanceProfile, and SGPoolingConfig—to define PostgreSQL parameters, instance sizing, and PgBouncer connection‑pool settings, and shows how to apply, reload, disable, and inspect these configurations with kubectl.
This article introduces StackGres 1.6’s core capabilities—including declarative Kubernetes CRDs, default tuning, custom configurations, high‑availability with Patroni, automated backups, server‑side connection pooling, distributed logging, observability, and a web UI—and provides a step‑by‑step quick‑start guide to install the operator, create a PostgreSQL cluster, and access it via psql, services, or the UI.
StackGres 1.6 is a full‑stack, production‑grade PostgreSQL distribution for Kubernetes that bundles a curated set of components—including Patroni, WAL‑G, PgBouncer, Envoy, and monitoring tools—into a single declarative deployment unit with multiple access methods, sidecar architecture, and built‑in high‑availability, backup, and observability features.
This article walks through the design and step‑by‑step deployment of a multi‑tenant, cloud‑native ClickHouse PaaS using Kubernetes Operators and Helm charts, integrates it with Sentry's Snuba event‑analysis engine, and shows how to customize Sentry Helm charts, configure Zookeeper, and verify distributed tables for large‑scale analytics.
The article explains how to boost a distributed system's throughput by optimizing middleware clusters—using Longhorn for storage, Citus for sharding Sentry's nodestore_node table into 64 shards across six workers, and adding PgPool, repmgr, and PgAdmin for read‑write splitting, high availability, and management.
This article explains how to automate and run HammerDB benchmarks for OLTP, OLAP, and HTAP workloads on Azure-hosted Citus‑extended PostgreSQL, discusses workload characteristics, benchmark specifications, challenges of HTAP testing, and shows how a 2 million new‑orders‑per‑minute result was achieved using open‑source tooling and configuration tips.
This guide walks through installing the Dapr JavaScript SDK, configuring a RabbitMQ pub/sub component, injecting DaprClient and DaprServer into a NestJS project, creating a custom @DaprPubSubSubscribe decorator, and running a complete end‑to‑end demo that publishes and consumes page‑view events.
This guide shows how to use kubectl to fetch logs from running Pods (including all replicas), view logs from previously crashed Pods, and retrieve recent or live‑streamed logs using tail and follow options, with commands for label‑based selection and time‑based filtering.
This step‑by‑step guide shows how to install the Dapr CLI, initialize local Redis and Zipkin containers, configure component files, and use Dapr’s APIs to perform service invocation, state management, pub/sub, bindings, and secrets management in a Node.js microservice application, complete with code snippets and Docker commands.
This step‑by‑step guide shows how to create a distributed Redis Pub/Sub application using Dapr, Docker Compose, and NestJS, covering project setup, Dapr placement, Redis publisher, component definition, sidecars, subscription configuration, testing, and CloudEvents JSON handling.
