Investigate logs across your entire stack with Federated Logs

Rufina Mariam discusses the rapid growth of telemetry volumes and how teams often employ multiple tools to manage this increase, leading to potential fragmentation and inefficiencies. The text highlights the challenges associated with using disparate systems such as Datadog for observability, Databricks for long-term storage, and ClickHouse for analytics, which can result in duplicated logs and context switching when managing logs across platforms. Federated Logs by Datadog offers a solution by allowing teams to query external data stores from a single interface without needing to switch tools, thereby maintaining control over log data across various destinations. This is exemplified in scenarios such as investigating payment failures in an e-commerce platform or analyzing user actions in a checkout process without the need for manual context switches. Additionally, Observability Pipelines play a crucial role by centralizing and standardizing log processing before data reaches its destination, supporting seamless investigations across platforms. The combined use of Federated Logs and Observability Pipelines ensures that teams can manage their telemetry data effectively while preserving their preferred storage architectures, ultimately enhancing the efficiency and comprehensiveness of log investigations.