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This document outlines best practices for incident response and system management, particularly focusing on centralized databases and distributed systems. Key recommendations include:

* Incident Response: Prioritize resolving service disruption, utilize techniques like component shutdowns, error boundaries, and cascading failures. Implement robust runtime controls, status endpoints, and thorough incident follow-ups (detection, escalation, recovery, prevention). Embrace “slow thinking” during outages and leverage ChatOps. A minimum of 6 people should be on-call.
* Resource Management: Employ predictive algorithms for resource forecasting (short, mid, long-term), and automate capacity migration. Monitor critical metrics using Prometheus, paying close attention to HDFS cluster balance and disk space.
* Monitoring & Alerting: Utilize Real User Monitoring and Synthetic Monitoring. Name alerts clearly and proactively manage alert fatigue. Leverage visualization techniques to interpret SLOs effectively (e.g., request percentiles).
* Root Cause Analysis: Focus on restoring service first, delaying in-depth root cause investigation until recovery.

The document emphasizes proactive measures like data science-driven forecasts and automated responses to ensure system resilience.
titleBlog of Tomas Varaneckas
descriptionBlog of Tomas Varaneckas
keywordshave, will, service, incident, people, monitoring, team, time, more, call, services, error, bots, there, outage, fact, page
upstreams
downstreams
nslookupA 104.21.13.234, A 172.67.133.108
created2025-12-20
updated2025-12-20
summarized2026-02-02

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