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At Center Card, where I served as Director of Technology in a fast-paced startup environment, I made the decision to deploy the ELK stack (Elasticsearch, Logstash, Kibana) on Kubernetes. Initially, everything was running smoothly, but a node replacement in the ELK cluster caused Elasticsearch to crash in our staging environment—just weeks before our production launch.

The incident put significant stress on the infrastructure team, and we didn't have deep in-house expertise to handle such issues. My CTO expressed disappointment and gave me direct feedback to ensure that similar disruptions would not happen again.

It was difficult feedback to hear, but I fully agreed with it. I realized that I had underestimated the operational complexity of managing ELK on Kubernetes without the right support or expertise.

In response, I took immediate corrective action—working closely with my team, often around the clock, to migrate to a managed Elasticsearch solution. This decision helped us stabilize the environment and stay on track for launch.

The key lesson I learned was that as a leader, I must assess not only the technical feasibility of a solution but also whether the team has the capacity and skills to support it. If not, it's critical either to choose a safer, more manageable alternative or to invest in upskilling the team before proceeding