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Observo

Description

Observo is an AI-powered Observability Pipeline designed for Security, IT, and DevOps data. Going beyond static, rules-based observability pipelines, Observo offers a dynamic, continually learning solution that adapts to the user’s data over time. Its key capabilities include data optimization and reduction, smart routing, anomaly detection, a searchable low-cost data lake, data enrichment, and sensitive data discovery. In terms of data optimization and reduction, it significantly cuts log volumes, leading to substantial reductions in the total cost of observability. The smart routing feature avoids vendor lock-ins by appropriately routing data where it adds the most value. Observo’s anomaly detection reduces the mean time to resolution (MTTR) of incidents, and it provides a searchable, cost-effective data lake for flexible data retention. The system additionally adds context to data for quicker searches and mitigation of alert fatigue, while facilitating the securing of personally identifiable information (PII) for better compliance. Observo provides users with control and flexibility over their observability data by enabling easy connection between sources and destinations, applying transformations, and routing data for optimal business outcomes. Feedback from industry leaders suggests that Observo assists in cost reductions and enhances incident detection & response capabilities.

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Pros
Accelerates incident response
Assists in cost reduction
Beneficial for log management
Control & flexibility over data
Cuts log management costs
Data enrichment
Data optimization & reduction
Data routing for optimal outcomes
DevOps
Dynamic learning solution
Easy connection between sources/destinations
Enhanced anomaly detection
Enhances incident detection & response
Faster deployment
Flexible data retention
Greater insights into useful data
Helps automate observability pipelines
Helps secure customer trust
Industry leaders’ feedback positive
Integrated with 40+ data sources
IT
Keeps compliance with PII regulations
Lower overall operational expenses
Mitigates alert fatigue
Reduces mean time to resolution
Reduces observability costs
Searchable low-cost data lake
Secures PII for compliance
Sensitive data discovery
Significantly cuts log volumes
Smart routing avoids lock-ins
Versatile for Security
Cons
Anomaly detection false positives
Data enrichment inaccuracies
Dependent on log volumes
Depends on continual learning
Lack of specificity in cost-reduction
Limited transformation capabilities
Limited vendor integration
Potential for PII non-compliance
Potential for smart routing errors
Searchable data lake issues

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