Installation & deployment
otwatch is installed and configured by handel gmbh as part of the implementation project. This page describes the deployment options and what the customer provides.
Deployment options
| Option | Runs on | Typical use |
|---|---|---|
| On-premises, standalone | One Windows or Linux server (services or Docker containers), physical or virtual (VMware, Hyper-V) | Small and medium environments, data must stay in the customer's network |
| On-premises, Kubernetes | Customer's Kubernetes cluster, deployed via Helm charts | Customers running OpenText or other workloads on Kubernetes |
| On-premises, distributed | One collector per site or network zone, central dashboards and alerting | Several sites or segmented networks |
| Managed service | Dedicated, isolated cloud environment per customer in an EU region | No customer infrastructure, operated fully by handel gmbh |
All configuration (checks, alert rules, dashboards, infrastructure) is maintained as code and deployed via a pipeline, so DEV, QA and PROD environments are identical apart from parameters.
Sizing
Indicative values for Prometheus, Alertmanager and Grafana combined; the final sizing is defined in the project based on the number of nodes, metrics, collection interval and retention.
| Size | Environment | Resources |
|---|---|---|
| Small | 1–2 environments, up to 10 OpenText nodes | 2 vCPU, 4 GB RAM, 50 GB storage |
| Medium | Up to 5 environments, up to 50 nodes | 4 vCPU, 8–16 GB RAM, 200 GB storage |
| Large | More than 5 environments or 50 nodes, several sites | Distributed collectors, 8 vCPU and 32 GB RAM per collector, storage according to retention |
Log collection (Loki) requires additional storage depending on log volume and retention.
Implementation steps
- Workshop: scope, environments, business transactions, thresholds, alert routing and reports.
- Provisioning of the otwatch environment (DEV/QA/PROD) as code.
- Accounts, network access and installation of agents and exporters on the OpenText systems.
- Configuration of checks, alert rules, dashboards, end-to-end tests and reports; validation in QA.
- Go-live in production, tuning of thresholds, knowledge transfer and handover.
Further reading
- Prometheus installation
- Grafana installation
- kube-prometheus-stack Helm chart
- Exporters and integrations
handel gmbh · otwatch documentation · Last updated 19 October 2026