What can we do?

Our preferred technology stack is rooted in Open Source: Linux as preferred OS, Apache Kafka for real-time streaming, Kubernetes for orchestration, scaling and deployment, Docker for application isolation and delivering, Jenkins for CI/CD automation, Hadoop-based ecosystem for distributed processing, Torch, Caffe, and Tensorflow for machine learning, just to name few.

We are not against proprietary software (and in fact, used it at customer request).

HP Vertica database for real-time data analytics by using SQL, Neo4j for graph analytics, Splunk for reporting and log aggregation purposes.