News

2 Billion Requests, 100ms Deadlines, $10k a Month: Engineering a Lean Global RT...

Inside a lean RTB system processing 350M daily requests with sub-100ms latency, built by a 3-person team on a $10k cloud budget.

Distributed Tracing in Spring Boot Without OpenTelemetry

You do not need OpenTelemetry SDKs to get distributed tracing in Spring Boot. Generate your own trace IDs at the boundary, propaga...

Meet Catchpoint: HackerNoon Company of the Week

This week, HackerNoon features Catchpoint, the internet performance monitoring platform used by Google, LinkedIn, Tencent, and man...

Stop Hunting Logs: How OpenTelemetry Brings Metrics, Logs, and Traces Together

OpenTelemetry is a Kubernetes tool that gives you vendor-neutral instrumentation libraries and a Collector that receives, processe...

Going From Reactive to Predictive Incident Response with AIOps

AIOps (Artificial Intelligence for IT Operations) is stepping up. Inlayman's terms, automated event correlation and machine learni...

From Logs to Insights: How Product Teams Use OpenSearch Every Single Day

The Observability Debt Hypothesis: Why Perfect Dashboards Still Mask Failing Sys...

Modern observability overmeasures and under-understands. The more dashboards we build, the less we trust them. True insight begins...

Why kube-prometheus-stack Isn’t Enough for Kubernetes Observability

Kube-prometheus-stack bundles Prometheus and Grafana for monitoring Kubernetes workloads. On the surface, it looks like the answer...

From Automation to Autonomy: How AI is Transforming Site Reliability Engineering

This is the real story of where operations is headed.

Toto: Time Series Optimized Transformer for Observability

Datadog’s new AI model, Toto, marks a major leap in time series forecasting for observability. Designed with a focus on accuracy,...

Toto AI Model Sets New Benchmark for Time Series Forecasting

Toto, a pre-trained time series foundation model, delivers state-of-the-art performance across Long Sequence Forecasting (LSF) and...

How Datadog Turned Noisy Observability Metrics Into AI Gold

Datadog’s Toto model was trained on roughly one trillion time series data points—75% from curated observability metrics and 25% fr...