October 2022 Summaries

O2, a next-in-class observability product, has enabled the discovery and resolution of unforeseen issues by ingesting and analyzing a wide range of data types, including usage data, UI event data, and backend traces. Datasets, created from raw event data, allow users to ask questions about specific entities like Pods or Servers, while Worksheets provide a platform for data transformation and visualization. Monitors alert users to specific conditions within Datasets, enhancing proactive troubleshooting. The platform's robust telemetry capabilities are leveraged by various roles, particularly product managers and the pricing team, to extract insights, plot trends, and refine usage-based pricing models. Detailed UI event data, collected via a custom JavaScript library, aids in diagnosing issues like the WSOD by sending alerts with stack traces to internal channels. The backend, built on a microservice architecture, uses custom tracing tools to model data for easier troubleshooting, especially for third-party services such as Snowflake and GraphQL. This comprehensive approach, including the integration of Snowflake usage data, allows for deep, statement-level analysis and problem-solving, offering extensive visibility from user interactions to backend processes. The forthcoming part III will explore linking multiple data sources for enhanced observability and share best practices for utilizing Observe effectively.

Many organizations struggle with high mean time to resolution (MTTR) for incident management, often due to tool complexity and data silos. Observe offers a solution by providing an architecture that enhances data context and facilitates efficient data navigation, resulting in faster problem resolution and reduced MTTR. Features like Dataset Graph and Graphlink enable users to connect data seamlessly, while smart dashboards expedite investigations. According to a survey, Observe users report significant improvements in MTTR, with 72% achieving resolution in a few hours compared to broader industry figures. By addressing both quality and cost concerns, Observe's usage-based pricing model allows for better cost control, making it an attractive option for companies aiming to improve observability and decrease MTTR.

The Observe GCP App, part of the broader suite of Observe Apps, enhances the integration and exploration of Google Cloud Platform (GCP) data by allowing users to combine it with other data sources for richer insights, moving beyond mere monitoring to comprehensive observability. This app provides pre-configured Datasets, Dashboards, and Monitors, enabling quick and efficient management of GCP environments without extensive manual data curation. Users can explore various GCP-related Datasets such as Asset Inventory, Logs, and Metrics, and access additional services like Cloud Storage, Cloud SQL, and Compute. The app features Dashboards that extend traditional monitoring capabilities by linking data with tools like GraphLink and Dataset Graph, and Monitors that offer flexible alerting options beyond metrics. Furthermore, Observe's ability to correlate diverse data types and track environmental changes helps users uncover complex relationships and troubleshoot efficiently. The app aims to dismantle data silos and provide detailed insights across multiple cloud services and infrastructure components, offering trial access for those interested in exploring its capabilities.

Observe offers a comprehensive solution for monitoring and observability in Google Cloud Platform (GCP) environments, addressing limitations of GCP's native tools by providing features such as simple data ingestion, data shaping and correlation, and tracking state over time. It allows users to gain deep visibility into their GCP resources, facilitating multi-cloud observability and native Kubernetes monitoring without the need for multiple tools. Observe's usage-based pricing model enables cost-effective data collection and storage, making it feasible to retain and analyze all data without financial constraints. This platform centralizes monitoring across various clouds and on-premises environments, enhancing GCP observability beyond what native tools offer by allowing users to understand complex relationships between services and track historical states to prevent recurring issues.