Tanzu Intelligence Services
You set up tanzu intelligence services by linking your cloud accounts and cluster data feeds. The platform then reads cost, security, and app performance metrics in one place. Platform teams often start by granting broad admin roles to get data flowing fast. Broad roles let too many users change rules or read sensitive system logs. How tanzu intelligence services work in your stack The platform pulls telemetry from your clusters, clouds, and running apps. It groups this data into a central gr
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You set up tanzu intelligence services by linking your cloud accounts and cluster data feeds. The platform then reads cost, security, and app performance metrics in one place. Platform teams often start by granting broad admin roles to get data flowing fast. Broad roles let too many users change rules or read sensitive system logs.
How tanzu intelligence services work in your stack
The platform pulls telemetry from your clusters, clouds, and running apps. It groups this data into a central graph for your team to check. Engineers use this graph to spot high cloud bills and fix broken workloads. Security teams also use it to find weak spots in cluster settings.
To make this work, you install collectors on each cluster you run. These collectors read state changes, resource use, and network paths every minute. They send those logs back to the main cloud hub over TLS. Your team then logs in through a single portal to view dashboards.
You control portal use by mapping identity groups to built-in platform roles. A viewer role lets a user read charts and cost reports. An admin role lets a user add clusters, change rules, and run actions. Teams tie these roles to their main identity provider for group login.
Where native role controls fall short at runtime
Native roles do a good job of controlling who opens the portal. They also limit which teams can link new cloud accounts or clusters. This stops basic mistakes inside the main web console during daily work.
Still, portal roles only check who logs in at the start. They do not check what a user does inside a live cluster session. When an engineer spots an issue in a dashboard, they must fix it. They open a shell or query tool to touch the real system.
At that point, the platform role no longer shapes what happens next. A user with cluster edit rights can run any command they want. They might drop a table or read raw emails and card numbers. Native roles cannot check single commands or rewrite sensitive fields in flight.
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How to tighten roles and protect live data
Start by splitting your platform roles by team function and project scope. Give cost teams read roles for billing data only, not cluster settings. Give app teams view rights for their own namespaces and nothing else. Remove permanent admin roles from daily user accounts across the board.
Next, review the keys that collectors use to read your cloud accounts. Grant those service accounts read rights for metrics and state logs only. Do not give collector keys write rights to your cloud resources. Rotate those keys on a regular schedule to limit exposure.
Finally, look at how engineers move from viewing an alert to fixing it. When they run commands against databases or clusters, check every single action. Put controls in place that rewrite phone numbers and national IDs in results. Make sure risky commands need a quick peer review before they run.
Check database and API queries on the wire
Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev runs beside those services as an open-source proxy, a sidecar for your Postgres or API. It inspects requests coming in and results going back on the wire.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run. On responses, hoop.dev data masking rewrites matched sensitive values in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.
Frequently asked questions
What data do tanzu intelligence services collect from clusters?
Collectors read resource metrics, app topology, cost data, and security posture states. They send this metadata to the central hub for analysis and charting.
How should teams assign roles for tanzu intelligence services?
Map your identity provider groups to the smallest role each team needs. Use viewer roles for most staff and keep admin roles for core leads.
Do portal roles protect databases during live fixes?
No, portal roles only govern what users see and click in dashboards. When engineers query databases or clusters directly, you need separate command-level checks.