Notes on remediation-first infrastructure
Engineering deep-dives, product updates, and field notes from teams shifting off reactive observability.
Left of Boom, Right of Boom: Prevention and Remediation Are One Loop
The industry split reliability into two disciplines: prevent it, and survive it. Both ask the same causal question — which change produces which failure — and neither can answer it alone. Why the postmortem is a broken transfer mechanism.
Nati ShalomCo-founder & CTO
Engineering14 minThe Great Inversion: AI Writes the Code, Production Pays the Review Bill
Generation got two orders of magnitude cheaper; human verification capacity did not move. GitClear's 2026 data shows duplication at its highest recorded level while refactoring falls — and the defects that reach production are structural, not syntactic.
Nati Shalom • Aug 26, 2026
Engineering12 minPrecision vs. Recall: Why Observability Costs So Much
Observability bills are shaped by one unstated assumption: a human might need to scroll back. That is collection optimized for recall. An agent present at the moment of the fault optimizes for precision — and precision scales with your incident rate, not your estate.
Nati Shalom • Aug 26, 2026
Engineering11 minWhat Is Remediation in Production Systems? Mitigation, Remediation and Resolution, Defined
Remediation means correcting the condition that caused a fault — not reducing its impact, not restoring service, not closing the ticket. The difference between mitigation, remediation, resolution and recovery, and what makes an action safe to automate.
Nati Shalom • Aug 26, 2026
Engineering13 minAutonomy Is a Body Problem, Not a Data Problem
In 2026 the biggest observability vendors conceded that fixing, not watching, is the point. But an agent bolted onto a billed-by-ingestion data lake inherits the lake's ceiling. Autonomy is a harness problem: tools, state, guardrails, and verification. Not a data problem.
Nati Shalom • Aug 24, 2026
Engineering7 minA Year of DevOps With an AI Agent
A year of running production infrastructure with an AI agent in the loop — EKS, Terraform, and the CI that holds it together. Not a 10x story: what actually changed was when my mistakes surfaced, what the work cost, and how much of it I had to remember myself.
Shahar Harap • Aug 24, 2026
Product3 minIt's time to let the dog out
For decades, observability has worked like a watchdog: it barks when something's wrong and waits for you to come running. That stopped making sense the moment we could build a system that acts on its own. Why I named the company DataAgent.
Ishay Yaari • Aug 24, 2026