Prevent outages before customers feel them
Catch regressions in PRs and pre-production, before customers see failures.
- Jide nlọghachi azụ tupu mwepụta
- Belata ọnụego ọdịda mgbanwe
- Nyefee ngwa ngwa na ntụkwasị obi
Ghọta ihe na-esi na mgbanwe ọ bụla pụta.
System Graph na-eme ụdị ọrụ, API, ndabere, akụrụngwa, ndị nnọchi anya, ụdị, iwu ọrụ, ihe akaebe, nwe, na akụkọ ihe mere eme na-aga n'ihu, ka Zof mara ihe omume a tụrụ aro nwere ike imetụta tupu e kwe ka ọ mee.
IHE NA-ESI NA YA PỤTA
Obosara mmetụta
A na-achọpụta usoro emetụtara, mkpa, na njikwa maka mgbanwe ọ bụla.
OGE
Ihe gbanwere, mgbe, onye mere ya
Akụkọ ihe mere eme, ihe akaebe, na mkpebi ka nwere ike ịchọgharị.
NTỌALA
Otu eserese, okirikiri dum
Nkwenye, ihe akaebe, na njikwa na-agụ otu ụdị.
Ọnụ ahịa ọdịda n'ezie
Ihe omume mmepụta na-emetụta ego, ntụkwasị obi onye ahịa, na ọsọ injinịa. A pụrụ igbochi ọtụtụ na ha site na atụmatụ nkwenye ziri ezi.
Tụlee
Ọnụ ahịa nkezi kwa awa nke oge dara ada (enterprise)
Mfu ego
Mmetụta ego kpọmkwem site na enweghị ọrụ na ọdịda azụmahịa
Tụlee
Nke ọdịda mgbanwe kpatara, ọ bụghị akụrụngwa
Ntụkwasị obi onye ahịa na ọpụpụ
Mmebi aha ụlọ ọrụ ogologo oge na ọpụpụ onye ahịa site na nsogbu ntụkwasị obi
Tụlee
Nke ihe omume a pụrụ igbochi site na nnwale tupu mmepụta ka mma
Nbibi injinịa
Ike ọgwụgwụ otu, mgbanwe ọnọdụ, na ọrụ atụmatụ gbara afọ site na nzaghachi ihe omume
Ihe kpatara mgbochi ji dị mkpa karịa nzaghachi: Ọ bụ ezie na nzaghachi ihe mberede dị mkpa, igbochi ọdịda tupu ha eru na mmepụta na-ebelata ọnụ ahịa, na-echekwa ntụkwasị obi ndị ahịa, ma na-eme ka ndị otu injinia lekwasị anya n'iwu ihe kama ịgbanyụ ọkụ.
Ihe kpatara mkpọchi ji ka na-eme (ọbụna na nlekota)
Ụzọ ọdịnala na-ejide nsogbu mgbe ha mechara. Mgbochi chọrọ nkwado tupu mmepụta.
Nlekota na-achọpụta ọdịda mgbe mmetụta gasịrị
Ngwaọrụ nlekota na-adọ gị aka ná ntị mgbe ihe mebiri, mana ka ọ na-eru, ndị ahịa enwetalarị mmetụta.
Edemede na-emebi ka sistemu na-agbanwe
Ụyọkọ nnwale na-aghọ ihe na-agbawa agbawa ka ngwa ọrụ na-agbanwe, na-ekepụta oghere na mkpuchi.
Mkpuchi nnwale ahaghị reliability
Metriks mkpuchi dị elu nwere ike izochi nnwale njikọta na-efu na nkwado oghere ọnọdụ.
Ọsọ mwepụta na-eme ka ihe egwu mụbaa
Mbugharị ngwa ngwa na-amụba ohere iwebata nlọghachi azụ nke na-agafe.
Otú Zof si egbochi mkpọchi
Ụzọ doro anya, nke usoro iji jide nlọghachi azụ tupu ha eru na mmepụta.
Mapụta usoro ọrụ dị oké mkpa na ndabere
Zof na-ewu System Graph nke gburugburu gị: ọrụ, API, mmụba data, na njikọta. Mgbe a na-eme mgbanwe, ọ maara kpọmkwem ihe nwere ike imetụta.
Bunye ndị nnọchiteanya nkwado pụrụ iche
Ihe karịrị ndị nnọchiteanya AI 100+ na-anwale akụkụ niile: izi ezi ọrụ, arụmọrụ, nchekwa, dakọtara, na ahụike njikọta. Onye nnọchiteanya ọ bụla bụ ọkachamara na ngalaba ya.
Kpalite mgbe niile (PR, mbubata, oge)
Arịrịọ mmịnye ọ bụla, ntinye ọ bụla, ọsọ a haziri ọ bụla na-enweta nkwado. A na-ejide nsogbu n'ime nkeji, ọ bụghị mgbe mbugharị gasịrị.
Jide nlọghachi azụ n'ofe UI, API, njikọta
Ndị nnọchiteanya na-enyocha usoro ọrụ njedebe ruo njedebe, nkwekọrịta API, njikọta ndị nke atọ, na usoro chere ihu ojiji. Ọ dịghị ihe na-agafe.
Gbochie mwepụta dị ize ndụ tupu mmetụta
Mgbe nkwado dara, a na-egbochi mwepụta na-akpaghị aka. Ndị otu injinia na-enweta nzaghachi doro anya, nke a ga-arụ ọrụ iji dozie nsogbu tupu mmepụta.
Loop mgbochi mkpọchi
Nkwado na-aga n'ihu na-egbochi mwepụta tupu mmetụta mmepụta.
Nsonaazụ ụlọ ọrụ dị mkpa
Metriks na ikike na-egosi mmụba reliability na ndabere nzukọ.
Tụlee
Ihe mberede mmepụta pere mpe
Jide nlọghachi azụ tupu mbugharị, na-ebelata ihe mberede mmepụta ma na-eme ka metriks DORA ka mma.
Tụlee
Usoro mwepụta dị ngwa
Ọnụ ụzọ nkwado akpaghị aka na-enyere aka mwepụta nwere ntụkwasị obi n'ebelataghị ọsọ mbugharị.
Enwere ike ịtụle
Mbelata n'ibu oku-na-oge
Nkwado mgbochi na-ebelata ịgbanyụ ọkụ, na-eme ka ndị otu injinia lekwasị anya n'iwu ihe.
Oge-mgbe-niile
Dashboard reliability
Nhụta zuru ezu n'ime metriks reliability na mkpuchi nkwado maka mkpesa ndị ndu.
Ebe nke a dabara na ngwa gị
Zof na-agbakwunye akụkụ mgbochi na-efu na ngwa reliability dị gị adị.
CI/CD
Jikọọ na GitHub Actions, GitLab CI, Jenkins, na paịpụlaịnị ndị ọzọ iji gbochie mwepụta na-akpaghị aka.
Nhụta
Mejupụta Datadog, New Relic, na ngwaọrụ nlekota ndị ọzọ na nkwado mgbochi tupu mmepụta.
Njikwa ihe mberede
Belata ihe mberede na-abanye na PagerDuty, Opsgenie, na ikpo okwu ndị yiri ya site n'ijide nsogbu n'oge.
Ịnweta tiketi
Jikọọ na Jira, Linear, na sistemu ndị ọzọ iji mepụta tiketi na-akpaghị aka mgbe nkwado dara.
Dị njikere maka ụlọ ọrụ ma tụkwasịkwa obi
Ewuru maka nzukọ chọrọ nchekwa, nnabata, na ọrụ magburu onwe.
Ọnọdụ nchekwa
Soro ndị otu nchekwa gị nyochaa njikwa ohere ịbanye, njikwa data, na ihe akaebe nkwenye.
Njikwa ohere na ọchịchị
Njikwa ohere dabere na ọrụ, ndekọ nyocha, na mkpesa nnabata.
Mbanye ụlọ ọrụ
Nkwado raara onwe ya nye, njikọta omenala, na nhọrọ mbugharị ahaziri ahazi.
Nkwado
Nkwado 24/7, SLA, na ih ịga nke ọma ndị ahịa raara onwe ya nye maka ndị ahịa ụlọ ọrụ.
Reliability sessions
Preventing outages with continuous validation and pipeline visibility.
1:00Enterprise QAScaling Quality Assurance for Enterprise
How AI-powered continuous verification scales enterprise software validation, expanding coverage, accelerating releases, and preventing production incidents with quality intelligence and release confidence.
Watch session
0:54Reliability OperationsRestoring Engineering Velocity
Explore the hidden reliability bottlenecks slowing engineering teams and how quality intelligence with continuous verification restores velocity through evidence-based validation and governed remediation.
Watch session
Kwụsị mkpọchi tupu ha amalite
Lee otú Zof si egbochi ọdịda mmepụta ma na-echekwa ego gị, aha gị, na ọsọ injinia.
Ndị metụtara
Nyochaa ikike na ngwọta ndị metụtara