"3 Ways to Optimize Uptime, Observability Costs & Sanity"
It was a webinar hosted by Cribl discussing why most engineering teams struggle with data noise, slow insights, and rising telemetry costs, and how to fix it.
Reliability isn’t about more data; it’s about the right data in motion.
Alert fatigue is real. SRE and OPS teams are drowning in low-value alerts, false positives, and noisy telemetry that hides critical signals.
Too many tools/products result in more problems. Platform teams juggle monitoring stacks with inconsistent formats, fragile pipelines, and more misconfigurations to chase.
Infra/App teams run lean. With limited staff and tight budgets, gaps or delays in telemetry directly threaten uptime and SLA performance.
SRE Team Approach
(SRE at Cribl) shared how they stay focused on meaningful signals using:
· Early filtering & drop rules to cut volumes before they reach costly storage
· Aggregation & rollup metrics to match destination intervals
· Sampling to reduce 80–99% of unnecessary logs
· On-demand enrichment & routing via a central control plane
· Real-time toggling of pipelines during incidents without re-deploys
· Edge agents to collect only the data that matters, exactly when needed.
The SRE Team also mentioned the importance of Cribl Edge for smarter metrics collection.
Cribl SRE team uses Cribl Edge Crible Edge to simplify and scale metrics collection. It’s a great example of modern observability done right by following principles such as One agent for everything, Prometheus without the overhead, Logs & APIs become metrics.
Cribl Edge gives SREs & Platform Engineers a scalable, cost-efficient way to control observability data without modifying applications or deploying dozens of exporters.
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