Your Docker Stack Is Running. But Is Anyone Actually Watching It?

<p>When I joined Ericsson's R&amp;D team as an intern, our development environment had a problem that every engineer on the team silently accepted as normal: spinning up a full

<h2> The Dilemma of Remote Monitoring </h2> <p>If you've ever tried to set up a monitoring stack for a scattered infrastructure—say, a local home server, a cheap VPS in Europe,

<blockquote> <p><strong>TL;DR:</strong> Datadog's per-host pricing is deliberately structured to feel cheap at two or three nodes and expensive by the time you actually need it.

<blockquote> <p><em><strong>post 8:</strong></em></p> </blockquote> <p>You run a container.</p> <p>It starts successfully.</p> <p>The application works.</p> <p>So… is it

<h2> You Don't Need Datadog (Yet) </h2> <p>I see startups spending $5,000/month on Datadog with 8 engineers. That's $625 per engineer per month for monitoring. At that stage, you

<blockquote> <p><strong>TL;DR:</strong> The failure mode nobody warns you about with Raspberry Pi clusters: the service dies, you SSH in twenty minutes later, and

<p>Not long ago, when the certificate for the hesapciyiz.com site I host on my own VPS expired, I woke up to an email in the middle of the night. Yes, Let's Encrypt's certificate

<p>A solid observability setup usually comes down to three pieces working together: something that <strong>collects</strong> metrics, something that <strong>exposes</strong>