All four Oracle Construction and Engineering products overlap on purpose, and three of them hold cost. The damage comes from owning two and never deciding which one is authoritative. A practical comparison by whose record each product holds, plus a decision procedure and the integration constraints nobody scopes.
The rule went red at 02:04 and nobody found out until 09:15. Rule evaluation and notification delivery are two different systems, and only one of them is visible in the UI. A practical setup for Grafana alert notifications to email, Slack and Telegram, plus how to detect the day delivery quietly stops.
n8n's Prometheus endpoint tells you the process is alive and busy. It does not tell you a workflow stopped producing correct output. This post walks through the three failure families that slip past a default n8n dashboard, the PromQL that catches each one, and how to close the gap with a second source of truth from the executions API.
A practical comparison of GitLab CI, GitHub Actions and Jenkins that skips the feature table. What actually decides the choice is where your code lives, whether the runner can reach the deploy target, and who owns the control plane at 2am. Includes the cost mechanics, the security failure modes, and a decision procedure you can run in an afternoon.
Docker's default logging driver writes container output to a JSON file with no size limit and no rotation. This is a practical guide to Docker log rotation: what the defaults actually do, why your daemon.json change did nothing, why deleting the log file did not free any disk, and how to choose between json-file, local, journald and shipping logs off the box.
Managed WordPress hosting and a self-managed VPS can both serve a fast site. They differ on which failures land on you. A practical comparison covering visit metering, disallowed plugin policies, silent backup failure, patching debt, and a cost model that survives contact with reality.
Podman is the better-designed container engine and Docker is the better-supported one. A working engineer's comparison: the architectural difference that drives everything, where each one wins and loses, the four things that genuinely break in a migration (compose, the Docker socket, privileged ports, restart on boot), and a decision procedure to run against your own setup.
Running Docker Compose in production is a reasonable choice for a single host, but the defaults were chosen for a laptop. A walk through the failure families that actually bite: the deploy gap, unrotated logs filling the disk, anonymous volumes, published ports that bypass your firewall, secrets in environment variables, and health checks that report without acting.
MySQL was gone in the morning because the kernel picked it to reclaim memory from Redis. Redis ships configured as a durable datastore, and you are using it as a cache. Setup takes ten minutes; the gotchas are memory limits, shared namespaces and the one enormous key nobody mentions.
Three hours into an ingress controller upgrade for an application that is one Go binary and a Postgres database. Nothing is broken. The cluster has just become the thing you operate. An honest look at what Kubernetes costs, when it earns that cost, and what to run instead.