For Founders

What to read first if your team doesn't have a dedicated SRE yet

On founding teams, reading time competes with deployment time. These four blog posts answer specific questions that come up when someone has to keep the platform running without a dedicated reliability team. Each one includes configuration snippets, dashboard screenshots, and unsponsored comparisons, so decisions are made with data rather than slide decks.

Kubernetes in production: resource limits that actually prevent outages

Silent restarts almost never come from the code. This post reviews poorly calibrated requests and limits, how to read kubelet events, and which metrics are worth checking before changing a number in the manifest.

Read the post

Terraform with remote state: when the local backend stops working

The day two people apply changes to the same infrastructure, the local state file becomes a problem. This post describes the symptoms, locking on remote backends, and the checks to run before migrating.

Read the post

Observability without noise: metrics, logs, and traces that actually get used

Saving everything is easy; deciding what is useful for diagnosing an incident is another matter. The entry proposes a criterion for classifying signals by operational value and discusses when it is better to sample traces instead of retaining them.

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If you are just starting to build your platform criteria, it is best to begin with the Kubernetes and Terraform entries: they are the ones that generate the most inquiries among technical founders. The rest of the log can be filtered by tags such as networking, storage, or CI/CD, and the weekly newsletter lets you know when a new note appears on the same topic.

Why a technical founder reads this log before deciding

When there is no dedicated SRE area, every platform decision is made by someone who is also writing product. Here you won't find theory wrapped in jargon: the notes come from configurations that ran in production, with the manifest fragments, dashboard screenshots, and comparisons that were needed to choose between two similar paths.

No sponsorship or paid ranking No tool comparison is funded by the vendor that comes out looking best. If a solution is recommended, it's because it solved a concrete problem in a real environment, not because it paid for the space. That also means you'll read about limitations and not just virtues.
Written by those who operate, not by those who sell The texts are signed by a team of engineers who document what actually works. That changes the tone: configuration errors appear, the assumptions that break when moving from local to the cluster, and the decisions that had to be reversed midway.
Priorities for small teams With few hands, not everything can be tackled at the same time. The entries on Kubernetes, Terraform, and observability are meant to help you sort out what should be resolved first and what can wait without the operation falling apart. The idea is to filter out noise, not add tasks.
Verifiable material in every entry Each post includes configuration snippets, dashboard screenshots, and tool comparisons. You can check what is claimed against what the screen shows, instead of accepting a conclusion without support. When something is an example or a scenario, it is stated as such.
Tag-based search and weekly newsletter If your problem today is networking, storage, or CI/CD, you can filter by tag and go straight to what applies. The weekly newsletter gathers the new entries so you don't have to check the index by hand every time something changes in your stack.
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