Enterprise observability costs are spiraling out of control. Gartner reports that 44% of enterprise clients now spend over $1 million annually on observability, with more than half going to log storage alone. At 1 TB/day with 30-day retention, log costs alone can exceed $1.2 million per year on platforms like Datadog. The response is always the same: shorten retention windows, sample data, and accept blind spots during incident response. This whitepaper presents MinIO AIStor as a high-performance primary storage layer for Splunk, Elastic, and Grafana observability stacks. AIStor decouples storage from compute, integrates natively via S3 with no middleware or custom connectors, and delivers consistent throughput whether data is one hour old or one year old — eliminating cold-tier penalties. Key technical advantages include: erasure coding at 33% storage overhead versus 200% for 3x replication (storing 2–3x more data on the same hardware); multi-TB/s ingest with linear scaling and no centralized metadata bottleneck; single namespace from terabytes to exabytes with no cluster splits; and software-defined, Kubernetes-native deployment for air-gapped and sovereign environments. In production, AIStor customers report 40%+ TCO reductions and historical data retrieval up to 12x faster than archive-tier solutions.
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44% of enterprises spend over $1 million per year on observability, with more than half driven by log storage — the root cause is coupled compute-storage architectures and per-operation cloud pricing, not data volume.
AIStor's erasure coding delivers the same 11-nines durability as 3x replication at just 33% storage overhead instead of 200%, allowing organizations to store 2–3x more telemetry on the same hardware.
AIStor maintains near line-speed reads across the full retention window with no cold-tier penalties — customers report retrieving historical data up to 12x faster than traditional archive-tier storage solutions.
Engineering and infrastructure leaders — including VP Engineering, CIO, and CISO — responsible for enterprise observability, telemetry cost management, and platform modernization.
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