Overview
Details of specific measurements used to assess and quantify the resource utilization of LILT applications. These metrics provide insights into the performance, capacity, and scalability requirements of the applications. They include parameters such as CPU utilization, memory consumption, disk size and concurrent user sessions. By establishing baseline measurements and setting thresholds, usage-sizing metrics help identify normal operating levels and define boundaries for resource usage. These metrics enable proactive capacity planning, resource optimization, and the ability to detect anomalies or performance bottlenecks. The table below is meant to be a reference guide, and not an exact match to your individual environment, as each installation may choose to enable or disable specific services.Usage-Sizing Metrics
App Name | Min Recommended vCPUs | Max Recommended vCPUs | Min Recommended Memory (GB) | Max Recommended Memory (GB) | GPU Requirements |
---|---|---|---|---|---|
Web Application Services | |||||
Front | 0.5 | 2 | 4 | 8 | |
Beehive | 0.1 | 4 | 4 | 4 | |
Core Translation Services | |||||
Core-api | 0.01 | 0.1 | 0.256 | 0.256 | |
Converter | 1 | 12 | 26 | 28 | |
QA | 0.5 | 1 | 3 | 4 | |
Linguist | 0.5 | 1 | 1 | 2 | |
Search | 0.05 | n/a | 21 | 22 | |
TM | 4 | 12 | 30 | 32 | |
TB | 1 | n/a | 30 | 30 | |
Batch-TB | 2 | 7 | 22 | 30 | |
Indexer | 0.05 | n/a | 21 | 22 | |
Lexicon | 4 | 8 | 30 | 30 | |
Watchdog | 0.1 | n/a | 2 | 3 | |
Segment | 0.5 | 2 | 4 | 4 | |
File-translation | 3 | 6 | 14 | 15 | |
Job | 0.5 | 1 | 2 | 3.5 | |
Tag | 0.5 | 1 | 2 | 3.5 | |
Auditlog | 0.5 | 1 | 2 | 3.5 | |
Assignment | 1 | 2 | 4 | 4 | |
Workflow | 1 | 2 | 2 | 2 | |
File-job | 2 | 4 | 16 | 16 | |
Memory | 1 | 2 | 4 | 4.5 | |
Notification | 0.5 | n/a | 2 | 4 | |
Auth | 0.01 | n/a | 0.5 | 1 | |
Neural/ML Services | |||||
Translatev4**** | 1 | 2 | 25 | 39 | 2 GPUs |
Updatev4 | 4 | 32 | 80 | 80 | |
Langid | 0.5 | 3 | 5 | 5 | |
Update-managerv4 | 0.25 | 0.5 | 1 | 1 | |
Routing | 0.5 | 3 | 1.5 | 1.5 | |
Batchv4 | 0.25 | 0.5 | 1 | 1 | |
Batch-worker-gpuv4**** | 1 | 2 | 24 | 24 | 1 GPU |
LLM-inference**** | 1 | n/a | 4 | 30 | 4 GPUs |
Automqm | 1 | 15 | 10 | 10 | |
Alignment | 4 | 4 | 8 | 8 | |
Tag-projection | 4 | 4 | 8 | 8 | |
NNcache | 3 | 3 | 2 | 2 | |
VMF (Vector Manipulation)**** | 2 | 2 | 8 | 8 | 1 GPU |
Connectors Platform | |||||
Connectors-ingressgateway | 0.1 | 2 | 0.128 | 1 | |
Connectors-builder | n/a | n/a | n/a | n/a | |
Infrastructure Services | |||||
nginx-ingress | 0.1 | n/a | 0.128 | n/a | |
istiod | 0.5 | 0.5 | 2 | 2 | |
istio-ingressgateway | 0.1 | 2 | 0.128 | 1 | |
Qdrant*** | 4 | n/a | 12 | 12 | |
Prometheus | n/a | 0.5 | n/a | 2 | |
Grafana | n/a | 0.5 | n/a | 0.5 | |
Data Stores | |||||
Redis | 0.2 | 0.6 | 4 | 10 | |
RabbitMQ | 1 | 2 | 4 | 4 | |
MySQL | 0.5 | n/a | 4 | 8 | |
MongoDB | 0.5 | 0.5 | 0.5 | 0.5 | |
MinIO | 0.1 | 0.5 | 1 | 1.5 | |
ClickHouse | 0.5 | n/a | 1 | 16 | |
Elasticsearch*** | 1 | 2 | 4 | 4 | |
Total* | 58.12 vCPUs | 200.1 vCPUs | 656.384 GB RAM | 784.256 GB RAM | 8 GPUs |
Total Disk Requirements* | 1 TB minimum |