Your Data is Made Powerful By Context (so stop destroying it already) (xpost)
Critique of the 'three pillars' observability model, arguing it destroys data context and relationships, making AI and engineering insights harder.
Charity Majors is a prominent voice in DevOps and operations, advocating for strong operational ownership and better production tooling. She writes about observability, engineering culture, and why operations is a critical, respected engineering discipline.
107 articles from this blog
Critique of the 'three pillars' observability model, arguing it destroys data context and relationships, making AI and engineering insights harder.
An SRE reflects on how their perspective on generative AI's role in SRE work has shifted dramatically over the past year.
A defense of operations (ops) in tech, arguing it's not just toil and criticizing the DevOps movement's failure to connect devs with production.
A pragmatic take on Friday and holiday deploy freezes, arguing they are a necessary hack for teams lacking robust observability, not a virtue.
The author argues that 2025 marks AI's transition from experimental tech to mainstream, foundational technology in developer tools, similar to cloud computing's shift in 2010.
A software engineer explains their decision to stay on Substack for blogging, prioritizing community engagement and reducing writing friction over platform controversies.
A tech blogger explains their decision to migrate from WordPress to Substack, citing platform friction and the shift in tech writing communities.
A critique of how 'observability' has been misunderstood and misapplied in the tech industry, arguing it's become a meaningless buzzword.
A critique of the 'pillars of observability' as a marketing term, arguing for a focus on technical 'signals' like traces, metrics, and logs instead.
The author seeks community input on observability practices and software buying strategies for a tech book update.
Author seeks advice from experienced software buyers for a new 'Observability Governance' section in the upcoming second edition of 'Observability Engineering'.
A retrospective on the challenging, multi-year migration of the Parse API from Ruby on Rails to Golang, detailing the technical hurdles and solutions.
A critique of the '10x engineer' myth, arguing for the value of 'normal' engineers and the complexity of measuring software development productivity.
A former Silicon Valley engineer reflects on the bias against computer science graduates and the culture of glorifying self-taught, college-dropout developers.
A tech founder reflects on using Twitter for technical discourse, product development, and personal motivation, while acknowledging its addictive nature.
A critique of the "Observability 3.0" label and a discussion on the evolution from multi-pillar to unified storage models in software telemetry.
A tech leader rethinks their silence on corporate DEI, arguing that communication of values is essential for accountability, not just branding.
A critique of semantic versioning in observability marketing, arguing that terms like 'Observability 2.0' describe a real technical shift despite overuse.
A critique of Paul Graham's 'founder mode' concept, analyzing leadership advice and the mythmaking around tech founders.
Explains the core technical shift from multi-tool Observability 1.0 to a unified, event-based Observability 2.0.