Modern platform engineering teams face a growing observability crisis driven by soaring data volumes, multicloud complexity, and the rising cost of legacy monitoring tools. The ebook explains how TrafficPeak on Akamai Cloud addresses these challenges with sub-second query performance, 15+ months of hot data retention, and up to 75% lower TCO compared to traditional vendors. Readers learn how TrafficPeak unifies logs, metrics, and traces across distributed systems; enables real-time visibility for developer platforms; supports security and compliance use cases; and provides the economic foundation for long-term, scalable observability. The ebook also details real customer results from major enterprises and outlines how teams can evaluate, test, and adopt TrafficPeak effectively.
TrafficPeak uses stream-first processing, decoupled compute and storage, and highly compressed columnar data formats to reduce total cost of ownership by up to 75% while enabling full-fidelity ingestion and long-term retention.
Platform engineering requires real-time visibility, multi-tenant insights, and cross-stack correlation across distributed environments. TrafficPeak delivers sub-second queries, unified data ingestion, and long-term retention that supports operational, security, and developer experience needs.
Most deployments are operational within minutes through Akamai Control Center, with seamless integration for DataStream 2 and standard log ingestion routes.
Yes. TrafficPeak uses open standards, supports SQL and Spark queries, integrates with Grafana, and allows you to bring your own storage for compliance and data governance.
