I have worked with tools such as Nagios, Zabbix, Prometheus, Grafana, and SolarWinds.

Log monitoring plays a crucial role in infrastructure monitoring by providing insights into system performance, identifying errors, detecting security threats, and ensuring compliance. It helps in troubleshooting issues by analyzing log data from various sources, allowing for proactive maintenance and quick response to incidents.
To handle alert fatigue, I prioritize incidents by implementing a tiered alerting system that categorizes alerts based on severity and impact. I also regularly review and tune alert thresholds to reduce noise, use automation to filter out non-critical alerts, and establish clear escalation paths. Additionally, I analyze historical data to identify recurring issues and focus on resolving root causes to minimize future alerts.
IT infrastructure monitoring is the process of continuously observing and managing the hardware, software, networks, and services that make up an organization's IT environment. It is important because it helps ensure system performance, identifies issues before they escalate, minimizes downtime, enhances security, and supports efficient resource management.
To monitor a Kubernetes cluster, you can use tools like Prometheus for metrics collection, Grafana for visualization, and Kubernetes Dashboard for a user-friendly interface. Additionally, consider using tools like ELK Stack (Elasticsearch, Logstash, Kibana) for logging and alerting systems like Alertmanager to notify on issues.
Testing during the design phase helps identify potential issues early, reduces costs, ensures requirements are met, and improves overall quality by allowing for adjustments before development begins.
Yes, CRM typically requires dedicated IT support staff to manage, maintain, and troubleshoot the system effectively.
I run the SQL query in a development or test environment to check for syntax errors. Additionally, I use SQL editors or IDEs with syntax highlighting and validation features to spot mistakes before execution.