Myrkat dramatically reduces observability costs by shifting the focus from the massive volume of raw traces and logs to the outcomes that actually matter: business-critical use cases.
Traditional observability tools require engineers to ingest, store, and analyze all data, leading to skyrocketing processing fees and data glut. Myrkat solves this by first using its unique analysis to map code behavior directly to specific business transactions (e.g., "User Checkout," "API Login"). This enables the platform to perform intelligent filtering and data compression at the source, ensuring that only the most relevant and high-value data points associated with those critical use cases are processed and stored long-term.
By moving beyond undifferentiated raw data analysis and organizing insights around business value, Myrkat delivers deeper, contextual insight while significantly minimizing the volume of data that must be managed, translating directly into lower data processing and storage expenses.
