Docker and Docker orchestration experience
Linux Admin level knowledge
BigData and noSQL Databases internals experience
At least Intermediate English
At least one noSQL database in-depth knowledge
Java 8 internals knowledge
Packaging and installing our virtual appliance on customer’s premises
Creating Installers and build (Jenkins build) jobs
Customize the appliance for different ecosystems
Scaling the appliance horizontally
Maintaining and creating dashboards and alerts per installation (managed service)
Troubleshooting issues remotely
Our Client provides a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of data and turns them into valuable business insights.
Analysing the massive quantity of metrics generated by today’s businesses — manually or with traditional business intelligence tools — takes time and expertise. Using patented machine learning algorithms, it isolates issues and correlates them across multiple parameters in real time, eliminating business insight latency and supporting rapid business decisions through its uncovered insights.
Our Client provides ‘Autonomous Analytics’ as a full SaaS product.
We also want support a managed service approach to cater to customers with unique security challenges. The purpose of this project is to build an enterprise level virtual appliance with all the aspects related to it such as scalability, availability, security and more features that are expected from such product.