Cloud Logging and Cloud Storage, where the quiet Google Cloud money goes
An exclusion filter at the sink is the highest-return control in the whole platform, and the storage class minimums punish a lifecycle rule written without reading them.
Articles about Google Cloud from the ConsultorIA blog: cloud, applied AI and security in production.
An exclusion filter at the sink is the highest-return control in the whole platform, and the storage class minimums punish a lifecycle rule written without reading them.
Standard bills for nodes you provision, Autopilot bills for pod resources you request. Both are dominated by the same number, and it is the gap between what pods ask for and what they use.
In GCP the project is the blast radius and the folder is where policy lives. Most estates we see have neither used deliberately. Here is the structure we deploy and the eight policies we set on day one.
On-demand BigQuery charges for bytes scanned, so one badly written dashboard can cost more than your compute. Here is how we cap it without slowing anyone down.
Almost every Google Cloud incident we have investigated started with a JSON key file. Workload Identity Federation removes the need for them entirely, and the migration is smaller than you think.
Autopilot charges for what your pods request and removes node management. That is a better deal than it sounds for most teams and a worse one for a few. Here is how to tell which you are.
Vertex gives you a managed vector search, a grounding API and an evaluation service. Two of those are worth taking as-is. Here is how we assemble a production assistant on Google Cloud.
Most teams running GKE would be better served by Cloud Run, and a few running Cloud Run are fighting it. The decision is not about scale — it is about four specific requirements.
SCC Premium turns on and produces thousands of findings in an hour. Here is the triage order that gets an estate from "unreadable" to "twelve open items" in about three weeks.
CUDs come in two flavours that behave very differently, and buying the wrong one locks you to a machine family for three years. Here is the sequence we follow.
IAM stops the wrong people reading your data. It does not stop the right people copying it somewhere else. Service perimeters do, and they will break things on the way in. Here is how to roll one out without an outage.
The google provider has behaviours that will surprise you the first time — authoritative IAM resources that wipe bindings, projects that will not delete, APIs that must be enabled before anything works. Here is the setup we use.