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knowledge unit 58AdvancedSystem designAbout 18 minutes

Understand → Implement → Debug → Design

Tenant isolation and continuous authorization during execution

Examine the control plane, execution plane, data isolation, capacity, and progressive delivery.

Platform architecturemulti-tenantDelivery

Knowledge content check2026-10-03 · Check the source of the original question2026-10-02

Which step do you want to learn from this knowledge point?

Select the starting point based on the current basis, or you can go deeper one by one. When you encounter an unfamiliar concept, go back to the core principles first; use the knowledge exercises to check your understanding when you are finished.

Understand first

New to this knowledge point

Complete the prerequisite concepts, read the principles and counterexamples, and then explain why in your own words.

Start with core principles →

Realize again

Prepare to write the principles into code

Understand implementation steps and boundaries, complete small tasks, and check results against acceptance requirements.

Reading implementation and trade-offs →

Will troubleshoot

Need to handle failures and changes in conditions

Follow the continuous questioning to locate the failure premise, and then compare the migration cases to explain how the plan should be adjusted.

Continue to delve deeper into the problem →

Able to choose

Need to design or review plans

Combine engineering deductions and senior self-evaluation standards to explain the applicable conditions, costs and alternatives of the plan.

Analyze engineering scenarios →
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LEARN · PRACTICE · REFLECT

Knowledge learning and personal records

My notes and review ↗

First read along the principles, Q&A and migration cases. When you need to check your understanding, switch to reinforcement exercises or start personal recording.

Answers and personal notes

Each modified commit will be kept as an independent history. Your level of mastery is up to you to evaluate yourself against the standards.

Core concept · Tenant isolation and continuous authorization during execution

Understand the core principles first

Preparatory concepts:Trusted identity, Row level permissions, control surface and execution surface

Tenant isolation must cover reads, caches, model context, logs, artifacts, and recovery. Establish trusted tenant identity through authentication and service policy, and preserve the same authorization boundaries during every recovery or fallback.

Demo assumptions disappear in production

A single-user demo may assume readable documents, one worker, and manual error monitoring. Multiple organizations need distinct answers and can contend for resources; log queries can also leak. Include identity, data scope, task keys, and quotas at admission, enforcing them at each access point.

RLS does not protect every copy

PostgreSQL superusers, BYPASSRLS roles, and normally table owners can bypass row policies. Verify connection roles. Vectors, shared caches, traces, and download links are separate access paths requiring authorization. Filtering only after data reaches a model is too late.

Recovery and control failures affect isolation

Backups can resurrect deleted text; stale permission caches can permit continued execution. Restore in isolation and replay current deletion and authorization records. During control-plane failure, cached policies require explicit validity windows; unknown sensitive authorization pauses execution. This is instructional architecture, not an implemented platform or compliance assessment.

Check understanding with a question

From a Demo to an enterprise multi-tenant Agent platform, which layers would you add first?

Start with users, risks, and service goals. Add trusted identity, tenant isolation, durable tasks, tool gateways, quotas, audits, and evaluated releases. Control planes manage policy; execution planes enforce bounded work. Deliver one verifiable task workflow and measure reliability and unit cost before expansion. Component count does not establish maturity.

Realization and trade-offs

Ask for constraints first rather than drawing full components

Confirm whether the interaction is a batch task, peak concurrency, average execution time, data sensitivity level, write action range and recovery goals. Translate these into task completion deadlines, queue waits, budgets, and recovery requirements. Without this information, it is impossible to decide whether independent scheduling, strongly isolated execution environments, or regional deployments are required.

Control plane and execution plane responsibilities

The control plane saves tenant configurations, model and tool versions, permissions, quotas, releases and audits; the execution plane receives tasks, loads fixed configurations, executes models and tools and submits status. Models must not modify their own authorization policies. The tool gateway implements parameter, identity and side effect control in a unified manner, and task storage records checkpoints, events and operation receipts. Necessary external connection failures should have detectable degradation.

Data and capacity isolation

Databases, object storage, indexes, caches, logs, and temporary workspaces all need to verify tenant boundaries. You cannot just add tenant_id to business tables. According to tenant quotas and fair scheduling, the supplier's current limit is transmitted to the entrance through back pressure. Backup restoration, deletion and permission revocation overwrite derived data, and restoring old backups cannot reopen deleted content.

Gradual acceptance

In the first stage, a read-only task is selected to complete authentication, observability and cost closed loop; in the second stage, approvable write actions and fault recovery are introduced; and more tenants and task types are added. Each stage is verified with isolation, fault, capacity and quality testing. The platform requires failure drills, rollbacks, and operational metrics, not an architectural diagram where all popular components are present.

Engineering deduction

scene
Interview hypothesis: The internal single-user demo will be sold to multiple companies to support knowledge query and report release.
design decisions
First establish the tenant identity and read-only closed loop, and then gradually add audited write actions.
Verify target
Cross-tenant access is blocked and task costs and recovery paths are reconciled.
applicable boundary
The deployment structure should be selected based on capacity and risk. It cannot be assumed that all teams need microservices.

Continuous questions and answers

Continue reading along with the premises and constraints of the problem. Understand the reference answers first, then try to put away the answers and explain the cause and effect and trade-offs in your own words.

Draw inferences from one example: If the conditions change, how to deduce it?

First find out the conditions for change, and then determine which premises in the original plan still hold true. The following cases are teaching deductions to facilitate the transfer of principles to new problems.

Mixing public and private data

Changing conditions:The user needs both shared knowledge and tenant-specific facts.

Extended question:Does all data need to be replicated to each tenant?

Derivation and reference solutions

Public and clearly reusable data can be shared. Private candidates are isolated according to authorization before entering the model. Answers and references must indicate the source, and the final cache cannot be mixed with private facts and then shared. Design the merge boundary of the shared layer and the private layer, and test the results of resources with the same name and different permissions.

The principles that remain unchanged:Each piece of evidence must be within the scope allowed by the current subject.

The control plane is down but tasks are still running

Changing conditions:Authorization updates and policy retrieval are temporarily interrupted.

Extended question:Can I just use an unlimited local license?

Derivation and reference solutions

Should not. Based on the pre-defined policy validity period and risk downgrade, low-risk access can be continued on a limited basis, while sensitive access is suspended if it is unknown. Quotas and execution budgets are still mandatory, and reconciliation of external actions will not interrupt account retention; actions to be executed will be rechecked after recovery, and rights cannot be extended for availability reasons.

The principles that remain unchanged:Failure recovery and downgrade do not change authorization boundaries.

Easy to make mistakes

  • Only add tenant_id to the main table
  • First dismantle dozens of microservices
  • Measuring maturity by the number of tool connections

References

It is designed based on public technical information; the reference materials support the technical mechanism, and the scenarios and scoring standards are designed by this website and do not represent the original interview questions of a certain company. New Q&A and migration cases are added for principle explanation, and source verification and case operation verification are recorded separately.

Check how far you understand

After reading, you can explain the principles, boundaries, and trade-offs against these standards. It is up to you to evaluate your mastery; if further verification is needed, complete the small tasks below.

Basic standards met
List the necessary layers for identity, persistence, permissions, and monitoring.
Intermediate and advanced signals
Describe control execution division of labor, derived data isolation and quotas.
Senior Signal
Deliver and handle backups, backpressure and policy unavailability as per acceptance phase.

Hands-on verificationComplete on demand · Suggestions15 minutes

Draw a responsibility map for the knowledge Q&A and publishing platform for 50 tenants and list the first phase of acceptance.

Expand acceptance requirements and checkpoints
  • Each data plane has an isolation method
  • Permission decisions come from trusted services
  • Stage goals can be tested

Key inspections

  • Deriving architecture from service goals
  • The control strategy is not changed by the model itself
  • Isolate coverage of derived data from execution environment