Ona jinsi programu yako
ilivyounganishwa.
Zof huchora ramani ya huduma, APIs, na vitegemezi vyako ili timu yako ijue cha kujaribu jambo linapobadilika.
Kulingana na wakati
kilichopo, kilichobadilika, lini, na nani alikibadilisha
Upeo wa athari
hubainishwa kabla ya kitendo kutekelezwa
Sera
vimeunganishwa na mifumo vinayoilinda
Yenye upeo uliowekwa
kwa mifumo na ufikiaji ulioidhinishwa
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.
Matokeo ambayo timu hupima
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.
Uthibitishaji unaodhibitiwa wenye idhini ya binadamu katika kila hatua muhimu.
- Uthibitishaji endelevu chini ya tabaka lako la udhibiti
- System Graph huweka ramani ya vitegemezi kabla ya mabadiliko kutolewa
- Ushahidi unaokidhi mahitaji ya ukaguzi kwa mapitio ya uzingatiaji wa kanuni
Ona System Graph yako mwenyewe
Weka miadi ya Reliability Sprint, na Zof huanza kuchora ramani ya mfumo mmoja ambao huwezi kumudu kushindwa kwake, ikibainisha njia muhimu na maeneo yenye hatari.
- Kagua ufikiaji na wigo
- Tathmini mfumo mmoja muhimu
- Chaguo za usambazaji wa faragha
Zinazohusiana
Chunguza jinsi System Graph inavyotoa nguvu kwa vipengele vingine vya jukwaa
Jua nini kilichobadilika. Jua nini cha kujaribu.
Uchambuzi wa athari unaojua topologia unaunganisha mabadiliko ya huduma na mtiririko ulioathiriwa na kupendekeza mipango ya uthibitisho kulingana na utegemezi wa mfumo.
Tumia muktadha wa mfumo kupangilia uthibitisho.
