Better Stack Telemetry
betterstack.comCollect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.
Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.
Manage OpenTelemetry Collectors and opt-in workload instrumentation through Kubernetes resources.
An open-source telemetry collector for gathering, transforming, and exporting logs, metrics, traces, and profiles.
Receive, process, and route traces, metrics, and logs to one or more observability backends.
Insert a transform-and-routing layer between telemetry sources and observability or security destinations.
Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.
Collect, process, and route logs, metrics, and traces with a lightweight telemetry agent.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.
A managed observability service for centralizing infrastructure metrics alongside logs and traces.
A composable pipeline for collecting, transforming, and routing logs and metrics.
AI-guided cloud-native observability for telemetry, service health, and cost control.
Automatically instrument supported workloads with OpenTelemetry and route telemetry to a destination you choose.
Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.
Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.
Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.
Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.
Centralize metrics, logs, traces, and profiles from applications and infrastructure.
Combine network flow, device, cloud, and synthetic telemetry to investigate traffic and service performance.
Make tail-based sampling decisions across complete traces before forwarding telemetry.
Collect and analyze network flows and telemetry to understand performance and activity across connected systems.
Centralize application and infrastructure logs for search, monitoring, and troubleshooting in a managed cloud analytics service.
Diagnose PostgreSQL query performance with continuous statistics and tuning advisors.