Alert fatigue is a significant issue for DevOps teams, causing desensitization to alerts and leading to slower response times and increased risk of outages. This problem is exacerbated by factors such as over-sensitive static thresholds, redundant monitoring tools, poor prioritization, lack of context, and noisy patterns. To address these challenges, AI-driven solutions and strategic alert management techniques are recommended, including dynamic baselines, tiered escalation policies, and alert correlation engines. Automating routine remediation steps and using AI for triage can help reduce the burden on engineers, while transparency and human oversight are crucial for building trust in these systems. Sustainable alert management also involves continuous measurement of signal-to-noise ratios, integration of AI into workflows, and attention to team wellness to prevent burnout. Regular reviews and tuning of alert thresholds, along with effective consolidation of monitoring tools, are essential to maintaining system reliability and efficiency.