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Supported Technologies

Causely supports a wide range of technologies across installation, telemetry sources, and workflow integrations. Find your technologies below to get started.

Installation​

Deploy Causely agents using these installation methods:

Telemetry Sources​

Connect your existing observability tools and data sources:

.NET
Enable cross-service traceability for enterprise and cloud applications.
AWS Managed Services
Integrate CloudWatch metrics and events to infer causes in managed AWS workloads.
Azure Managed Services
Surface reliability issues in Azure services with native telemetry inputs.
C++
Capture detailed performance traces from high-performance systems to improve causal inference precision.
Checkly
Use API and synthetic check failures as trusted inputs for causal analysis.
Confluent Cloud
Detect message queue congestion and downstream impact from Kafka telemetry.
Cortex
Use Cortex metrics and alerts as key signals for detecting and diagnosing service-level issues.
Datadog
Use Datadog traces and monitors as trusted signals for causal analysis.
Dynatrace
Use Dynatrace traces and metrics to strengthen causal inference and reliability insights.
eBPF
Capture kernel-level dependencies and performance signals without modifying code.
Elasticsearch
Integrate Elasticsearch metrics and logs to detect and resolve performance issues.
Erlang/Elixir
Map message-passing and concurrent behavior to detect issues in distributed environments.
GCP Managed Services
Integrate GCP service metrics to infer causes in managed workloads.
Go
Add low-overhead tracing to cloud native applications for faster dependency discovery.
Grafana
Use Grafana to bring in metrics, logs, and traces as rich inputs for causal analysis.
Groundcover
Combine high-fidelity eBPF data with Causely's analytics.
incident.io
Leverage incident.io alerts as trusted inputs for causal analysis.
Instana
Integrate Instana traces and metrics to enhance causal analysis and deepen reliability insights.
Istio
Map service mesh communication patterns for precise dependency-aware causal inference.
Java
Connect JVM traces and metrics for proactive detection of performance regressions.
JavaScript
Instrument JavaScript-based services to capture backend traces and uncover issues in distributed architectures.
Kubernetes
Map pod-level health and resource metrics to their upstream service dependencies.
Mimir
Use Mimir metrics and alerts as key signals for detecting and diagnosing service-level issues.
MySQL
Identify database query latency or connection errors as causes in distributed issues.
Nobl9
Align SLO breaches with Causely's causal insights to prioritize reliability work.
Odigos
Automatically instrument services with OpenTelemetry and feed traces into Causely's engine.
OpenTelemetry
Enable automatic discovery of service dependencies across both synchronous and asynchronous communications.
PHP
Include PHP service traces to expose web transaction bottlenecks in causal analysis.
PostgreSQL
Link PostgreSQL performance and query issues to affected services in real time.
Prometheus
Use Prometheus metrics and alerts as key signals for detecting and diagnosing service-level issues.
Prometheus Alertmanager
Use Alertmanager alerts as trusted inputs for causal analysis.
Python
Link Python app traces and metrics to detect slow APIs or resource contention.
Ruby
Enable full-trace visibility across Ruby web and background jobs for causal inference.
Rust
Feed low-level telemetry into Causely to uncover performance and memory-related causes.
Snowflake
Surface warehouse congestion or query slowdowns as upstream causes in analytics pipelines.
Swift
Connect Swift app traces to isolate problems across distributed components.

Workflow Integrations​

Send Causely insights to your existing workflow tools:

Causely Grafana Plugin
Visualize causes and their service impact directly in your Grafana dashboards — across Grafana Cloud or your self-hosted deployment.
Grafana Alertmanager
Send causal insights to Grafana Alertmanager without additional configuration.
incident.io
Automatically create and resolve incidents in incident.io from causal analysis by Causely.
Jira
Create Jira issues from Causely causal insights with service-level impact and ownership metadata.
Microsoft Teams
Post causal insights into Microsoft Teams to keep dev and ops teams aligned.
Opsgenie
Route causal insights into Opsgenie with the context your team needs.
Prometheus Alertmanager
Push causal insights into your existing Prometheus Alertmanager pipeline.
Slack
Send causal insights directly to your team Slack channels, so critical issues are seen and acted on immediately.
Splunk On-Call
Deliver real-time causal insights into Splunk On-Call with service-level impact and ownership metadata.

Missing a Technology?​

Don't see your technology listed? We're constantly adding support for new technologies. Reach out to us and let us know what you're using - we'd love to help you get started with Causely.