Ensure 99.9%+ uptime through proactive, full-stack monitoring. We correlate metrics, logs, and traces to identify incidents early, keeping mission-critical systems stable and always available.

Continuously refine your observability environment to maximize value. We assess alert noise, data usage, coverage gaps, and cost efficiency, recommending actionable improvements for sustainable reliability.

Establish and improve measurable KPIs for your reliability goals, including MTTR, actionable alert rate, and missed incident rate, plus six additional customized metrics. DXHero helps clients define reliable data foundations and correlation strategies, ensuring KPI tracking reflects true operational performance.

Identify and resolve incidents faster across complex distributed systems.
DXHero ensures the right data is collected, normalized, and correlated, allowing engineers to pinpoint issues faster and restore services with clarity and confidence. Our clients typically achieve up to 70% faster mean time to resolution (MTTR) after full observability adoption.

Migrate from fragmented monitoring tools to a unified Datadog ecosystem. Whether transitioning from Splunk, New Relic, Dynatrace, or Grafana, DXHero provides structured guidance and technical assurance for a seamless, low-risk migration.

Safeguard your digital infrastructure with enterprise-grade observability. Gain full visibility across applications, APIs, network layers and edge devices to detect misconfigurations and abnormal behaviours before they become security incidents.

Monitor mission-critical workflows and user journeys to prevent revenue loss. We design workflow-based dashboards and alerting structures that directly map to business impact, improving signal quality and reducing false positives.

Analyze observability data across the stack to identify performance gaps and improvement opportunities. Our experts review metrics and trends to recommend targeted optimizations that enhance system performance and user experience. On average, enterprises reduce resource overhead by 20% through data-driven performance tuning.