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December 2022 Summaries

2 posts from Observe

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Observe's observability environment, O2, facilitates efficient troubleshooting by integrating various data sources to trace errors and understand their impact across systems. A typical use case involves using Observe's GraphLink feature to navigate through related Datasets, such as from an "Observe Dataset" to a "Snowflake Query" Dataset, to diagnose issues with unavailable Datasets. This method leverages foreign key relationships to automatically map out data connections, enabling users to review raw SQL queries and assess query performance metrics. Additionally, Observe supports various applications like CI/CD performance monitoring, SOC-2 audits, and sharing contextual data links for collaboration. Best practices for optimizing observability include ingesting comprehensive telemetry, modeling Datasets that mirror the environment, and crafting actionable alerts with ample context to streamline troubleshooting and enhance operational efficiency.
Dec 19, 2022 1,096 words in the original blog post.
Observe has introduced three new apps, Jenkins, GitLab, and GitHub, to enhance observability across development pipelines by providing comprehensive monitoring and data integration capabilities. These apps offer out-of-the-box content such as Dashboards, Datasets, and Monitors, facilitating a more transparent view of CI/CD processes. They allow users to link data from these services with existing data in Observe, enabling a deeper analysis of relationships across different datasets. The Jenkins App aids in monitoring pipeline health and diagnosing build issues, the GitHub App provides insights into organizational activities with a focus on code security and management, and the GitLab App helps manage and monitor GitLab environments, revealing bottlenecks and improving source code management processes. By integrating these tools, users can gain full observability from commit to crash, enhancing their ability to troubleshoot and optimize development workflows.
Dec 06, 2022 1,421 words in the original blog post.