kapacitor
Kapacitor is an open-source framework for real-time processing, monitoring, and alerting on time-series data. It integrates with InfluxDB and other data sources, using a domain-specific language called TICKscript to define alerting rules and data transformations. It's primarily used by organizations that need continuous monitoring of metrics and time-series datasets.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | influxdata/kapacitor |
| Owner | influxdata |
| Primary language | Go |
| License | MIT — OSI-approved |
| Stars | 2.4k |
| Forks | 478 |
| Open issues | 835 |
| Latest release | v1.8.6 (2026-05-26) |
| Last updated | 2026-07-03 |
| Source | https://github.com/influxdata/kapacitor |
What kapacitor is
Written in Go, Kapacitor processes streaming and batch time-series data through a pipeline architecture, supporting windowing, aggregation, and statistical functions via TICKscript. It provides integrations with Slack, PagerDuty, VictorOps, and other alerting channels, and communicates with InfluxDB for data retrieval and storage.
Get the kapacitor source
Clone the repository and explore it locally.
git clone https://github.com/influxdata/kapacitor.gitcd kapacitor# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- TICKscript syntax and pipeline semantics require learning; evaluate team familiarity or plan training before large-scale rollout.
- Kapacitor requires a running InfluxDB instance for most use cases; ensure InfluxDB cluster stability and resource provisioning.
- State management and task persistence rely on InfluxDB; plan backup and disaster recovery strategies for both systems together.
- Testing and debugging TICKscripts is manual; develop a process for validating alerting rules in staging before production deployment.
- Define clear alert suppression, escalation, and runbook policies to avoid alert fatigue; Kapacitor enables routing but not built-in intelligence.
When to avoid it — and what to weigh
- Minimal infrastructure — Avoid if your organization has a very small infrastructure footprint or only occasional monitoring needs; the overhead may not be justified.
- Tightly coupled to Prometheus ecosystem — Avoid if you have standardized on Prometheus with AlertManager; Kapacitor requires InfluxDB and adds complexity to heterogeneous stacks.
- No Telegraf or InfluxDB deployment — Avoid if you are not already running InfluxDB; the tight coupling means migration or integration with non-InfluxDB sources requires significant custom work.
- Machine learning and adaptive alerting — Avoid if you require advanced ML-driven anomaly detection or adaptive baselines; Kapacitor provides statistical functions but not model-based inference.
License & commercial use
Kapacitor is released under the MIT License, which is a permissive OSI-approved license allowing commercial use, modification, and distribution with minimal restrictions.
MIT License permits commercial use without additional licensing fees. However, InfluxDB (often required) has its own licensing model; review InfluxDB commercial terms separately. No warranty or support guarantees are implied by the open-source license; consider support arrangements independently.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
Review InfluxDB authentication and authorization mechanisms, as Kapacitor inherits them. Ensure TICKscript processing does not expose sensitive data in alert messages or logs. Validate webhook endpoints and credentials used in alerting channels. Monitor for CVEs in dependencies (Go standard library and third-party packages). No encryption or signed release checksums mentioned in provided data.
Alternatives to consider
Prometheus + AlertManager
Kubernetes-native, broader ecosystem support, simpler rule syntax (PromQL), superior multi-tenancy; better fit for cloud-native deployments.
Grafana Alerting
UI-driven alerting rules, unified dashboard + alerting, supports multiple data sources, lower operational overhead; better for visualization-first organizations.
Thanos + custom alerting
Long-term metric storage, cross-cluster querying, federated alerting; better for large-scale, multi-cloud deployments but requires more custom development.
Build on kapacitor with DEV.co software developers
Kapacitor is a strong choice for teams already invested in InfluxDB. Review integration requirements, TICKscript complexity, and alert routing needs before committing. Consider Prometheus or Grafana Alerting if you require broader ecosystem support or simpler rule management.
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kapacitor FAQ
Do I need InfluxDB to use Kapacitor?
How does Kapacitor compare to Prometheus AlertManager?
Is TICKscript easy to learn?
What happens to alerts if Kapacitor crashes?
Work with a software development agency
DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If kapacitor is part of your open-source observability roadmap, our team can implement, customize, migrate, and maintain it.
Evaluate Kapacitor for Your Monitoring Stack
Kapacitor is a strong choice for teams already invested in InfluxDB. Review integration requirements, TICKscript complexity, and alert routing needs before committing. Consider Prometheus or Grafana Alerting if you require broader ecosystem support or simpler rule management.