Filter 80% of Noisy Data.
Unlock Actionable Insights.
Metrics can quickly grow out of control. Observo AI removes wasteful series, trims excessive tags, and aggregates noise so DevOps and Security teams can act faster.
Eliminate 100%
of never-queried metrics
Filter excessive tag values
without losing key insights
Aggregate high-frequency metrics
with max, min, and median values
Metrics Overload Slows
Visibility and Response
Most organizations generate far more metrics than they use, driving up licensing, storage, and compute costs. High-cardinality tags and high-frequency metrics add noise, overwhelm signal, and slow investigations by distracting teams from real issues.
Tame Metric Sprawl to Cut Costs and Enhance Insights
- Eliminate never-queried metrics: Reduce license, storage, and compute costs.
- Filter excessive tag values: Limit high-cardinality tags without losing insights.
- Aggregate high-frequency metrics: Summarize metrics for insights without noise.
- Apply metric limits: Set thresholds for series growth and prevent metric expansion.
- Rehydrate metrics on-demand: Retrieve archived data from low-cost cold storage.
Cleaner Metrics, Faster Insights, Lower Costs
Organizations using Observo AI have eliminated never-queried and low-value metrics without impacting visibility. By filtering tags, controlling cardinality, and aggregating noisy high-frequency data, they’ve reduced license, storage, and compute costs, improved query speed, and delivered cleaner, actionable insights to DevOps and Security teams.
- Cut never-queried metrics by up to 100%, lowering license and storage costs
- Reduce excessive tag values by up to 60% without losing critical insights
- Summarize noisy metrics with max, min, and median to improve signal-to-noise ratio
- Accelerate query speeds by up to 50% with optimized datasets
- Cut metrics infrastructure costs by up to 50%
- Access archived metrics instantly for investigations, audits, or performance reviews
See Observo in Action
Request a demo to see how simple it is to evaluate new SIEMs and migrate on your terms.
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The CISO Field Guide to AI Security Data Pipelines explores how AI-driven automation can transform security operations, enabling proactive threat detection, data protection, and cost control.
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