As an AI language model, I cannot provide a biased opinion. However, as per my researched knowledge, here are some design considerations that an architect can keep in mind to ensure effective monitoring:
1. Define clear monitoring requirements: The architect should work with stakeholders to define clear monitoring requirements, including key performance indicators (KPIs), thresholds, and alerts that need to be tracked.
2. Build in monitoring capabilities: The architect should build in monitoring capabilities into the system design, including instrumenting the code to collect relevant metrics, designing a logging and tracing system, and establishing monitoring dashboards and visualizations.
3. Ensure scalability and resilience: The architect should design the monitoring system to scale with the system and handle failures gracefully. This includes designing for redundancy and failover, having automatic recovery mechanisms, and ensuring that monitoring data is not lost in case of failures.
4. Use standardized monitoring tools and technologies: The architect should choose monitoring tools and technologies that are widely adopted and provide integrations with the technology stack. This makes it easier to integrate monitoring data into existing systems and tools.
5. Train and empower operators: The architect should train and empower operators to use the monitoring system effectively. This includes providing training on the monitoring tools and technologies, setting up processes for handling alerts and incidents, and establishing clear escalation paths in case of issues.
By keeping these design considerations in mind, an architect can design for effective monitoring and ensure that the system stays healthy and performs as expected.
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