Self-Hosted

Metric Insights
Self-Hosted

Run Metric Insights inside your own infrastructure, in your private cloud or on‑premises data center with full control over the environment, network, and dependencies. Metric Insights Self‑Hosted delivers the same platform capabilities as our cloud offering, tailored for organizations that need to keep operations in‑house.

Metric Insights
self-hosted is the right fit if...

Metric Insights Self-Hosted is ideal if you:

  • Must comply with strict regulatory or data residency requirements
  • Require a maximum security, air-gapped environment (no internet access)
  • Prefer to run all production systems in your own cloud accounts or data centers
  • Already have mature DevOps, SRE, or platform teams managing Kubernetes, VMs, and databases

If your priority is speed of deployment and minimizing operational burden, consider Metric Insights Cloud instead.

Prefer a turnkey Cloud option?

Metric Insights Cloud is ideal if you:

  • Want the fastest path to a production BI portal
  • Prefer to outsource infrastructure operations and upgrades
  • Need to standardize governance across multiple BI tools without adding operational overhead
Explore MI Cloud

Private Cloud & On‑Premises, one deployment model

Self‑Hosted deployments follow the same underlying architecture whether you run in AWS, Azure, GCP, VMware, or bare metal Linux.

  • Private Cloud: Provision virtual machines or Kubernetes clusters in your own AWS, Azure, or GCP accounts and deploy Metric Insights using our Docker‑based installer or orchestration templates.
  • On‑Premises: Install Metric Insights on your own Linux servers or virtual machines, including VMware‑based environments.

For a high‑level overview,
see Metric Insights Deployment Options.

Simple or orchestrated:
choose your level of complexity

You can start small on a single server and grow into a multi‑node, container-orchestrated deployment as adoption increases.

  • Simple Installation (Single server): Deploy all core services (containers) on a standalone Linux host using the Docker‑based installer.
  • On‑Premises: Install Metric Insights on your own Linux servers or virtual machines, including VMware‑based environments.
Reference our guides for detailed steps:
  • Single Server Docker Deployment
  • Deploy Metric Insights on Kubernetes
  • Deploy Metric Insights on OpenShift
  • Deploying Container Orchestration with Docker Swarm

Cloud provider–specific options

Self‑hosting in your own cloud accounts gives you control and flexibility while still benefiting from cloud‑native tooling.

Cloud provider–specific options
AWS Marketplace logo
AWS
Deploy via a pre‑configured AMI, EC2 instances, or Amazon ECS / EKS. See Deploy Metric Insights AMI via AWS Marketplace, Deploy Metric Insights on Amazon EC2, and Deploying Metric Insights in an Orchestrated Environment.
Azure
Install on Azure Virtual Machines or use Azure Kubernetes Service (AKS). See Deploy Metric Insights on Microsoft Azure Virtual Machine and Deploy Metric Insights on Azure Kubernetes Service.
Google Cloud logo
Google Cloud
Install on Google Compute Engine VMs or use Google Kubernetes Engine (GKE). See MI Application Deployment on Google Cloud Kubernetes Engine (GKE).

Control, compliance, and integration

Self‑Hosted deployments are designed for organizations with stricter data governance, residency, or compliance requirements

  • Keep application infrastructure fully within your own network boundaries
  • Align deployment with internal security policies, change management, and audit processes
  • Integrate with your preferred database platforms, logging solutions, and monitoring tools
Explore:
  • Security & Hardening for container and image security
  • Databases & Supporting Services for MySQL, Redis, and related services
  • Observability, Logging & Monitoring for log and metrics integration

Remote Server Administration

Run Metric Insights in your own environment while offloading day‑to‑day platform operations to our team. With Remote Server Administration, you maintain full control over infrastructure, data locality, and network boundaries, while Metric Insights manages and operates the application itself.

Operational excellence without extra overhead

Offload day‑to‑day application operations to a team that specializes in running Metric Insights at scale.

  • Proactive monitoring and alerting for the Metric Insights application
  • Planned upgrades and security patches aligned to your change management process
  • Best‑practice configuration for performance, security, and governance

This model lets your BI and data teams focus on delivering insights rather than managing application internals.