L - Large environment

Up to 800 concurrent conversations, HA enabled, suitable for big production environments

Kubernetes Pod Resources

ComponentInstancesCPU reqCPU limitRAM req (GB)RAM limit (GB)
Automate2----
admin24866
dialogs2481818
nlu-pipeline21422
nlu-facade21455
gateway24822
analytics21422
cron-orchestrator21422
web-chat21422
sso-server21422
storage22222
channels-connector*21422
thread-coordinator*21422
bot-integration21222
refinery21288
uploader21222
Listen&React* 2
new-web21244
analyser21277
Infrastructure2----
ElasticSearch3141616
RabbitMQ31266
PostgreSQL32488
Kubernetes - master node3881616
NFS31222
Redis AI118363636
Voice systems* 2----
Voice Gateway24848768768
NLU2----
duckling22411
inferrer21211
intentizer-multi2220.20.2
intentizer-multi-fitter29161616
keywords2120.250.25
name-service20.510.250.25
ner-pl24822
pattern22222
pcre2120.50.5
sentiduck24811
tokenizer-pl23622
tagger-de22222
tagger-en22222
tagger-multi22222
ner-multi22101010

Resources summary

ComponentInstancesCPU reqCPU limitRAM req (GB)RAM limit (GB)
Automate250128112 (115**)112 (115**)
Listen&React2482222
Infrastructure35796180180
Voice systems2969615361536
NLU2711388585
TOTAL27846619351935

Recommended VM configuration

qty.HDD [GB]vCPURAM [GB]
Kubernetes Master375816
Kubernetes Worker62003680
Voice Gateway*225048768

* - Optional applications

⚠️ When planning deployment please take into account requirements described in Deployment Assumptions and contact us for further details.

ℹ️ RedisAI assumes 35 active NLU simple models. If more active NLU models are needed please calculate 0.8GB per 1 NLU simple model. If complex models are used, calculate 4GB per 1 model - more information about complex models in Comparison of available intentizer types