Kubernetes Pod Resources

Component	Instances	CPU req	CPU limit	RAM req (GB)	RAM limit (GB)
Automate	2	-	-	-	-
admin	2	4	8	6	6
dialogs	2	4	8	18	18
nlu-pipeline	2	1	4	2	2
nlu-facade	2	1	4	6	6
gateway	2	4	8	2	2
analytics	2	1	4	2	2
cron-orchestrator	2	1	4	2	2
web-chat	2	1	4	2	2
sso-server	2	1	4	2	2
storage	2	2	2	2	2
channels-connector	2	1	4	2	2
thread-coordinator	2	1	4	2	2
bot-integration	2	1	2	2	2
refinery	2	1	2	8	8
uploader	2	1	2	2	2

Listen&React*	2
new-web	2	1	2	4	4
analyser	2	1	2	7	7
html-converter	2	0.2	2	8	8
redis (single)	2	0.2	2	2	2
hooks-server	2	1	2	2	2

Infrastructure	2	-	-	-	-
ElasticSearch*	3	1	4	16	16
RabbitMQ*	3	1	2	6	6
PostgreSQL*	3	2	4	8	8
Kubernetes - master node	3	8	8	16	16
NFS	3	1	2	2	2
Redis AI	1	18	36	36	36

Voice systems*	2	-	-	-	-
Voice Gateway	2	48	48	64	64

NLU	2	-	-	-	-
duckling	2	2	4	1	1
inferrer	2	1	2	1	1
intentizer-multi	2	2	2	0.2	0.2
intentizer-fitter	2	9	16	16	16
intentizer-llm	2	0.1	2	1	1
keywords	2	1	2	0.25	0.25
name-service	2	0.5	1	0.25	0.25
ner-pl	2	4	8	2	2
pattern	2	2	2	2	2
pcre	2	1	2	0.5	0.5
sentiduck	2	4	8	1	1
tokenizer-pl	2	3	6	2	2
tagger-de	2	2	2	2	2
tagger-en	2	2	2	2	2
tagger-multi	2	2	2	2	2
ner-multi	2	2	10	10	10
nlu-data-migrator	1	1	1	6	6

Resources summary

Component	Instances	CPU req	CPU limit	RAM req (GB)	RAM limit (GB)
Automate	2	48	132	118	118
Listen&React	2	6.3	20	46	46
Infrastructure	3	57	96	180	180
Voice systems	2	48	48	128	128
NLU	2	79.2	166	95	95
	TOTAL	239	462	567	567

Recommended VM configuration

	qty.	NVMe [GB]	vCPU	RAM [GB]
Kubernetes Master	3	75	8	16
Kubernetes Worker	6	200	48	128

* - 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