Hụ otú sọftụwia gị
si jikọta ọnụ.
Zof na-ese maapụ ọrụ gị, APIs, na ihe ha dabere na ya ka ndị otu gị mara ihe a ga-anwale mgbe ihe gbanwere.
Dabere na oge
ihe dị, ihe gbanwere, mgbe ọ gbanwere, na onye gbanwere ya
Obosara mmetụta
a na-ekpebi ya tupu omume ahụ amalite
Iwu
e jikọtara ha na sistemụ ndị ha na-echebe
A kọwara oke
na sistemụ a kwadoro na ikike ịbanye e nyere
Entities, relationships, and time
Repositories, commits, pull requests, services, APIs, endpoints, components, databases, tables, queues, infrastructure, environments, deployments, agents, models, tools, policies, controls, tests, evidence, incidents, owners, and data classifications.
- 01
Relationships that carry consequence
DEPENDS_ON, CALLS, READS, WRITES, DEPLOYS_TO, OWNED_BY, PROTECTED_BY, VERIFIED_BY, AFFECTS, GENERATED_BY, APPROVED_BY, USES_MODEL, USES_TOOL, SATISFIES, and VIOLATES.
- 02
Temporal by design
What exists, what changed, when it changed, who or what changed it, what depended on it, what evidence existed, what policies applied, what decision was made, and what happened afterward.
- 03
Blast radius before action
Every proposed change resolves to affected systems, criticality tier, applicable controls, historical incidents, and the verification required.
- 04
Shared by the whole loop
Verification, evidence, and control all read from the same graph, so every decision is grounded in one understanding of the enterprise.
Nsonaazụ ndị otu na-atụ
Size the blast radius before shipping
See exactly which systems, data, and customers a change can affect, and how critical they are, before it is allowed to run.
Tier 0
criticality resolvedRequire the right verification
Controls mapped to affected systems determine the evidence a change must produce, so verification is targeted rather than exhaustive.
Policy
selects the evidenceReconstruct any decision
Walk back from an incident to the change, the evidence that existed, the policies that applied, and who approved it.
Temporal
history stays queryableGive leadership one risk view
One graph shows where risk concentrates, where controls apply, and what changed recently.
One
source of truth
The substrate of the control loop
The System Graph is not a standalone feature. Verification reads it to decide what must be proven, Evidence writes to it, and Control relies on it to size risk.
Verification Engine
Selects the evidence each change requires from the systems and controls the graph resolves.
Evidence
Every bundle, approval, and outcome is written back to the graph, so history is queryable.
Control Plane
Policy decisions are grounded in criticality, affected systems, and incident history from the graph.
Nkwenye a na-achịkwa na nkwado mmadụ n'usoro ọ bụla dị oke mkpa.
- Nkwenye na-aga n'ihu n'okpuru ọkwa njikwa gị
- System Graph na-egosi ihe ndị dabere n'ihe ndị ọzọ tupu ewepụta mgbanwe
- Ihe akaebe dabara maka nyocha iji nyochaa nrube isi
Hụ System Graph nke gị
Debe oge Reliability Sprint, Zof wee malite ịse maapụ otu sistemụ ị na-apụghị ịnagide ọdịda ya, na-achọpụta ụzọ ndị dị oké mkpa na ebe ihe ize ndụ dị.
- Nyochaa ikike ịbanye na oke ọrụ
- Nyochaa otu sistemụ dị oké mkpa
- Nhọrọ itinye n'ọrụ n'ebe nzuzo
Ndị Metụtara
Nyocha otu System Graph na-akpali ihe ikpo okwu ndị ọzọ
Mara ihe gbanwere. Mara ihe a kwesịrị ịnwale.
Nnyocha mmetụta nọchite anya topology na-ejikọ mgbanwe ọrụ na usoro ọrụ ndị metụtara ma tụọ atụmatụ nyocha dabere na njikọ sistemu.
Jiri ọnọdụ sistemu ka ichoputa nyocha kachasị mkpa.
