Sampleless vs Datadog: A Complete Comparison for 2026
An honest comparison of Sampleless and Datadog covering pricing, features, sampling approaches, and when each makes sense for your team.
Technical deep-dives on observability, pricing analysis, migration guides, and engineering best practices.
An honest comparison of Sampleless and Datadog covering pricing, features, sampling approaches, and when each makes sense for your team.
A detailed breakdown of Datadog pricing including infrastructure, APM, logs, custom metrics, and the hidden networking costs most teams miss.
The mathematics of why 1% sampling means you need 230,000 requests to catch a 0.1% error rate with 90% confidence.
How BYOC architecture eliminates $450K+ in annual networking costs and simplifies compliance with GDPR, HIPAA, and FedRAMP.
A practical guide to migrating from Datadog to OpenTelemetry, including timeline estimates, feature mapping, and dual-running configurations.
A comparison of pricing models from Datadog, New Relic, Splunk, Dynatrace, and Grafana, including the perverse incentives each creates.
OpenTelemetry Collector deployment patterns, eBPF vs instrumentation tradeoffs, and resource overhead benchmarks for K8s monitoring.
The frustration of $18K monthly observability bills for what should cost $500, and why the industry pricing model is fundamentally broken.
NAT Gateway, Transit Gateway, and egress fees add $0.135/GB minimum when shipping telemetry to SaaS vendors. At 10TB/day, that is $453K/year.
Why static thresholds fail (67% of alerts ignored), how behavioral baselines work, and the difference between anomaly scores and risk scores.