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Best practices for managing your SLOs with Datadog

Blog post from Datadog

Post Details
Company
Date Published
Author
Mark Azer, Kai Xin Tai
Word Count
1,766
Company Posts That Month
18
Language
English
Hacker News Points
-
Post removed?
No
Summary

Datadog simplifies cross-team collaboration by enabling everyone in an organization to track, manage, and monitor the status of all their service level objectives (SLOs) and error budgets in one place. To effectively manage SLOs, teams need to evaluate the impact of their work against established service reliability targets to improve end-user experience. The best approach depends on the use case, but Datadog offers three types of SLOs: metric-based, time slice, and monitor-based. Teams can visualize their SLOs alongside relevant services and infrastructure components on dashboards and share real-time status with stakeholders. To ensure accurate SLO status information, teams can use SLO status corrections to exclude data from calculations. Effective naming and tagging strategies are crucial for streamlining communication and keeping SLOs organized. Datadog's Saved Views and group-based visualization enable teams to quickly find and track their most frequently used SLOs. By enhancing dashboards with SLOs, teams can gain a high-level summary view of their SLOs by grouping and proactively monitor the status of their SLOs with automatic alerts.

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