Operations work is valuable and deserves respect, not disdain. Those who dismiss ops will face the consequences of poor operational outcomes.

The post humorously discusses the perennial debate about whether deploy freezes during holidays help or hurt software development teams.

AI has become mainstream foundational technology in 2025, similar to how cloud computing transitioned from experimental to essential in 2010.

A reflection on choosing which platforms to use and which professional fights are worth engaging in.

After 10 years, the author is switching their blog from WordPress to Substack.

Tech execs falsely claim observability is an "unsolved problem" requiring custom tools, when it's actually well-defined and has existing solutions.

The "three pillars" of observability are outdated and expensive, trapping engineers in obsolete 1980s thinking inadequate for today's complex systems.

Author requests help with observability feedback while still working on their book.

Author seeks input from experienced software buyers for the second edition of "Observability Engineering" book.

Parse's API was rewritten from Ruby on Rails to Golang over two years. This post resurrects the author's retrospective of that migration.

Career longevity comes from embracing struggle as the path to realizing your ideals, transforming youthful rebellion into institutional commitment.

Great engineering teams are built on "normal" engineers doing consistent good work, not self-proclaimed "10x engineers"—this approach also develops world-class talent.

Jobs reveal themselves quickly: great ones make you hope to measure up to talented colleagues, bad ones make you dread the daily reality.

Allowing and normalizing pronoun sharing at work is positive, but mandating disclosure is harmful.

Silicon Valley dropout engineers in their twenties believed only losers got CS degrees, highlighting tech culture's anti-credential attitude.

The author misses posting on Twitter despite its problems, noting that positive periods are often only recognized in retrospect.

Observability 3.0 focuses on making data valuable through context rather than traditional pillars or silos.

Corporate DEI programs fall short of meaningful change; real progress comes from individuals courageously speaking out, not company policies.

New observability startups are shifting from copying Datadog's three-pillar approach to adopting Honeycomb's model with wide events and OpenTelemetry.

Chesky claims credit for fixing Airbnb's issues without acknowledging his role in causing them, though the piece contains some useful insights.