As the solution was built on Databricks, it allowed seamless ingestion and processing of API logs in real-time. Data engineers could extract all relevant information on the API activity such as API traffic, recency, frequency, response time, error rates, cost of API calls, and other such KPIs to obtain the API performance trends. Further, this API activity data gathered over time could be visualized through interactive graphs, charts, and infographics using Databricks Notebooks for actionable insights around API performance. It helped them to make decisions about reusing APIs and identify areas of improvement.
Automation, Cloud, AI-driven Insights – more than “Dreams of the Future” these have become the “Demands of the Present”, to set the stage for a business to be truly digital.
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