Tanzu Wiki
You build a tanzu wiki by writing down your cluster rules, app workflows, and role steps. Teams use this shared guide to manage container apps and platform tools across cloud clusters. Many teams start by giving broad cluster admin roles to every builder. Broad roles make setup fast, but one bad command can break live apps or leak data. How a tanzu wiki structures platform roles and workflows A platform guide maps how builders push code and run cluster tasks. It explains how the platform turn
Wiki: the complete guide
Architecture patterns, implementation strategies, and security best practices. Delivered to your inbox.
You build a tanzu wiki by writing down your cluster rules, app workflows, and role steps. Teams use this shared guide to manage container apps and platform tools across cloud clusters. Many teams start by giving broad cluster admin roles to every builder. Broad roles make setup fast, but one bad command can break live apps or leak data.
How a tanzu wiki structures platform roles and workflows
A platform guide maps how builders push code and run cluster tasks. It explains how the platform turns raw source code into running containers. It also lists the identity provider rules that control who can log in. Platform admins link directory groups to specific cluster roles and workspace permissions.
In a standard setup, builders log in with a central identity provider first. The platform checks their group membership and assigns a role for that workspace. Some roles allow users to read logs and check app status. Other roles let users deploy new builds, change network rules, or open container shells.
A good internal guide records which group gets which role in each stage. Dev clusters often allow broad write rights so teams can test changes fast. Production clusters should limit most users to read-only views. Clear notes help new engineers ask for the right role from day one.
Teams also document how apps talk to backing data stores like Postgres or MySQL. The platform binds service keys to running containers at startup time. Engineers read the guide to learn how to bind services and check logs.
What native platform roles solve and what they leave open
Native role controls do a great job of managing cluster entry. They verify user identity and assign workspace permissions based on team groups. They also control who can create new apps or delete whole namespaces. This setup stops unauthorized users from entering the cluster control plane.
Still, entry roles only decide who can log in to a workspace. They do not inspect what individual commands or queries do during an active session. Once an engineer opens a container shell, the platform trusts every action inside it. If a role allows pod exec or port forwarding, the user gains wide reach.
Wiki: architecture patterns and best practices
Continue reading? Get the full guide.
Free. No spam. Unsubscribe anytime.
With a live shell or local tunnel, a user can pull service keys from memory. They can use those keys to run direct queries against production databases. Native cluster logs show that a user opened a shell session. They rarely capture the exact SQL statements or shell commands run inside that session.
This gap creates risk during live incident fixes and routine data checks. An engineer with valid break-glass permissions can run a drop table command by mistake. They can also query tables that hold raw emails, phone numbers, or card numbers. Standard role bindings cannot rewrite those sensitive fields in query results on the fly.
How to tighten live session controls for platform teams
To close this gap, teams must separate cluster deployment rights from live data tasks. Your internal guide should state that builders deploy code through automated pipelines only. Human users should not hold permanent keys to production databases or container shells.
When an engineer needs to fix a live issue, focus on individual actions. Instead of granting full namespace admin rights, scope permissions to specific commands or queries. Review high-risk write commands before they run against production systems. Apply field masking so queries rewrite emails, card numbers, and national IDs in results.
Keep your team docs short and easy to follow during outages. List the exact steps to request a scoped session for a database or pod. Show how leads approve risky commands in chat tools like Slack or Microsoft Teams. Recording both the setup rules and runtime checks keeps clusters safe and audits simple.
Add runtime guardrails and masking beside your databases and APIs
Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.
Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.
Frequently asked questions
What should a platform team include in a Tanzu wiki?
Include your cluster role mappings, app deployment steps, and service binding rules. Also document how engineers request temporary permissions to run live debug commands or database queries.
Why are native cluster roles not enough for database security?
Cluster roles only check who can enter a workspace or open a container shell. They do not inspect SQL queries in flight or mask fields like emails and card numbers.
How can teams reduce risk when debugging live container apps?
Remove standing admin roles and stop sharing static service keys with human users. Require peer approval for specific commands and mask sensitive fields in query results.