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Supported Technologies

Causely integrates with your existing infrastructure, observability stack, and operational tools. This page provides a complete reference of all supported technologies across three areas:

Installation: Deploy Causely agents in Kubernetes, Docker, or other environments
Telemetry Sources: Connect metrics, traces, logs, and infrastructure data from platforms you already use
Workflows: Route insights to Slack, PagerDuty, Jira, and other tools your team relies on

Use the search and filters below to find what you need.

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Category

Signal Types

36 technologies found

AWS Managed Services

Integrate CloudWatch metrics and events to infer causes in managed AWS workloads.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Azure Managed Services

Surface reliability issues in Azure services with native telemetry inputs.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Capture detailed performance traces from high-performance systems to improve causal inference precision.

Application Instrumentation

Causely Grafana Plugin

Visualize causes and their service impact directly in your Grafana dashboards — across Grafana Cloud or your self-hosted deployment.

Use API and synthetic check failures as trusted inputs for causal analysis.

Symptom Activation

Install Causely using the command-line interface for quick setup and configuration.

Confluent Cloud

Detect message queue congestion and downstream impact from Kafka telemetry.

Infrastructure Entities

Use Datadog traces and monitors as trusted signals for causal analysis.

Service Communication

Deploy Causely on standalone Docker hosts for services running outside Kubernetes.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Use Dynatrace traces and metrics to strengthen causal inference and reliability insights.

Service Communication

Capture kernel-level dependencies and performance signals without modifying code.

Service Communication

Integrate Elasticsearch metrics and logs to detect and resolve performance issues.

Infrastructure Entities

Deploy Causely using FluxCD for GitOps-based deployment and management.

GCP Managed Services

Integrate GCP service metrics to infer causes in managed workloads.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Use Grafana to bring in metrics, logs, and traces as rich inputs for causal analysis.

Service Communication

Grafana Alertmanager

Send causal insights to Grafana Alertmanager without additional configuration.

Combine high-fidelity eBPF data with Causely's analytics.

Service Communication

Deploy Causely on Kubernetes using Helm charts for easy management and configuration.

Leverage incident.io alerts as trusted inputs for causal analysis.

Symptom Activation

Integrate Instana traces and metrics to enhance causal analysis and deepen reliability insights.

Service Communication

Map service mesh communication patterns for precise dependency-aware causal inference.

Create Jira issues from Causely causal insights with service-level impact and ownership metadata.

Map pod-level health and resource metrics to their upstream service dependencies.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Microsoft Teams

Post causal insights into Microsoft Teams to keep dev and ops teams aligned.

Identify database query latency or connection errors as causes in distributed issues.

Infrastructure Entities

Align SLO breaches with Causely's causal insights to prioritize reliability work.

Install Causely on HashiCorp Nomad clusters for distributed workload management.

Infrastructure Scraper

Infrastructure Entities

Service Discovery

Automatically instrument services with OpenTelemetry and feed traces into Causely's engine.

Service Communication

Enable automatic discovery of service dependencies across both synchronous and asynchronous communications.

Service Communication

Route causal insights into Opsgenie with the context your team needs.

Link PostgreSQL performance and query issues to affected services in real time.

Infrastructure Entities

Use Prometheus metrics and alerts as key signals for detecting and diagnosing service-level issues.

Metrics & Symptoms

Prometheus Alertmanager

Use Alertmanager alerts as trusted inputs for causal analysis.

Symptom Activation

Send causal insights directly to your team Slack channels, so critical issues are seen and acted on immediately.

Surface warehouse congestion or query slowdowns as upstream causes in analytics pipelines.

Infrastructure Entities

Deliver real-time causal insights into Splunk On-Call with service-level impact and ownership metadata.