Observability Architecture

The telemetry foundation deploy verification consumes — data formats, storage patterns, and design tradeoffs behind modern observability.

• How do you choose an observability platform?A practical guide to evaluating observability platforms across SaaS, open-source, managed, BYOC, and agent-driven categories. Compare pricing models, migration strategies, and key evaluation criteria.
• What is a data lake for observability?Learn how data lakes store telemetry on low-cost object storage in open formats, offering flexible and affordable alternatives to traditional observability databases.
• What is Apache Iceberg?Understand Apache Iceberg, the open table format that enables SQL access to data on object storage, and why it matters for observability and real-time analytics.
• What is BYOC (Bring Your Own Cloud) observability?Understand the BYOC deployment model for observability, where your telemetry data stays in your own cloud account while a vendor manages the platform.
• What is observability cost optimization?Learn why observability costs spiral out of control and how engineering teams can reduce spend by 60% or more through metric auditing, cardinality management, data tiering, and architectural shifts.
• What is OpenTelemetry?Learn how OpenTelemetry provides a vendor-neutral standard for instrumenting, collecting, and exporting traces, metrics, and logs across your entire stack.

Browse the full Learning Center or get started free.