10 Best DevOps Tools in 2026

Datadog monitors everything about your infrastructure and applications. Metrics, traces, logs, and more—unified observability that shows what's happening across your entire stack. The breadth of integrations is unmatched. Dashboards correlate signals from different sources. The platform scales with any infrastructure size. Engineering teams wanting comprehensive observability without stitching together tools choose Datadog for monitoring that covers the full picture.

Prometheus monitors systems with time-series metrics. Pull-based collection, powerful queries—the monitoring system Kubernetes was built around. The data model is proven. The ecosystem is vast. The Kubernetes integration is native. Infrastructure teams use Prometheus because cloud-native monitoring expects it.

Grafana visualizes metrics and logs from any data source. Dashboards that make sense of operational data—the visualization layer for observability stacks. The query support is universal. Dashboards are flexible. The community shares thousands of templates. Operations teams building observability use Grafana to visualize data regardless of where it comes from.

OpenTelemetry provides observability standards for applications. Traces, metrics, and logs with vendor-neutral APIs—the standard that unifies observability instrumentation. The standard is becoming universal. The vendor neutrality prevents lock-in. The community is huge. Applications instrumenting for observability use OpenTelemetry for standard instrumentation.

PagerDuty manages incidents and on-call scheduling. The platform that defined modern incident response—alerting and escalation at enterprise scale. The incident management is comprehensive. The integrations are extensive. The brand is synonymous with on-call. Organizations with serious incident management use PagerDuty for established alerting.

New Relic provides observability for everything. APM, infrastructure, logs, synthetics—comprehensive monitoring from a company that helped define the category. The coverage is complete. The integrations are extensive. The platform is proven. Organizations wanting comprehensive observability consider New Relic for full-stack monitoring.

Loki stores logs for Grafana with efficiency. Like Prometheus but for logs—log aggregation designed for cost-effective storage and Grafana integration. The storage is efficient. The Grafana integration is native. The model matches Prometheus. Grafana users needing log storage choose Loki for logs that integrate naturally.

Statuspage communicates status during incidents. Atlassian's status page solution—incident communication to customers. The status updates are clear. The Atlassian integration exists. The brand is established. Organizations communicating status use Statuspage for incident communication.

Dynatrace provides enterprise observability with AI that understands application topology automatically. Monitoring, tracing, logs, and user experience—all connected by AI that identifies root causes. The automatic instrumentation is comprehensive. The AI genuinely reduces investigation time. The scale handles enterprise complexity. Large enterprises wanting unified observability with AI-assisted analysis choose Dynatrace for intelligent monitoring at scale.

Honeycomb provides observability for distributed systems. Query your production data, explore unknowns, debug what you didn't anticipate—observability that helps you understand rather than just monitor. The query model is powerful. High-cardinality data works. The approach challenges traditional monitoring. Engineering teams debugging distributed systems choose Honeycomb for observability that handles modern complexity.