controller staleness is the hidden tax of platform automation
Platform automation is often celebrated for its efficiency, but a growing issue is controller staleness, where automated systems act on outdated views of reality. As systems become more automated, the risk shifts from lack of automation to the hidden cost of decisions based on stale data. This challenge, highlighted in Kubernetes v1.36, underscores the importance of timely and accurate system state for reliable automation.
- ▪Controller staleness occurs when automation makes decisions based on outdated or cached system states.
- ▪Kubernetes v1.36 introduced improvements to mitigate staleness, emphasizing the need for better observability in automated systems.
- ▪Staleness can lead to incorrect actions, such as duplicate operations or delayed corrections, even when reconciliation loops appear to succeed.
- ▪The problem extends beyond Kubernetes to various automated workflows, including cost management, security, and AI-driven systems.
- ▪As automation grows, the operational cost of acting on stale information becomes a significant hidden tax on platform reliability.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 109646) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Paulo Victor Leite Lima Gomes Posted on May 1 controller staleness is the hidden tax of platform automation #kubernetes #platformengineering #automation #ai I think a lot of platform engineering discourse still has a very annoying habit. We keep treating automation as if the main risk is not having enough of it. Not enough controllers. Not enough reconcilers. Not enough policy engines. Not enough workflows. Not enough AI copilots orchestrating the orchestrators.
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