Lost Logs: Log Retention vs Observability Cost
Blog post from Observe
Organizations using legacy observability tools face significant cost challenges due to escalating data volumes, compliance requirements, and the need for faster data processing with fewer resources, exacerbated by advancements such as cloud-native microservices and Kubernetes infrastructure. These systems often struggle with data retention and become financially burdensome. Observe offers a cloud-native solution that addresses these issues by separating storage and compute, allowing for comprehensive, scalable data management and long-term data retention without the high costs associated with legacy systems. This modern approach supports compliance, security, and operational needs by providing robust data handling and observability, integrating logs, metrics, and traces into a single platform, which is crucial for effective anomaly detection, root cause analysis, and strategic planning. The platform's design enables organizations to maintain observability without sacrificing data quality or incurring prohibitive costs, making it a viable alternative to traditional systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 23 | 1,227 | 261 | 93 | -15% |
| Kubernetes | 2 | 2,064 | 217 | 83 | +11% |
| Data Pipeline | 1 | 563 | 163 | 70 | +14% |
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