ORACLE Autonomous Health Framework (AHF):

About the product stack:
Oracle Autonomous Health Framework (AHF) presents the next generation of tools as components, which work together autonomously 24x7 to keep database systems healthy and running while minimizing human reaction time. Utilizing applied machine-learning technologies, Oracle AHF provides early warnings or automatically solves operational runtime issues faced by Database and System administrators in the areas of availability and performance.

https://www.oracle.com/database/technologies/rac/ahf.html

Our group in Mexico currently consists of about 40+ industry-leading developers who participate across multiple products like:

Autonomous Health Framework: Fleet Insights:

Autonomous Health Framework Insights is a central console which provides a bird's eye view of the entire system from diagnostic perspective. It showcases data from AHF and co-relates various dimensions of diagnostics to provide root cause analysis of issue at hand using various machine learning as well as statistical techniques. The goal of the project is to provide a platform to run automated analysis on huge amounts of data, quickly pinpoint failures, easily navigate to required information, and aggregate and co-relate information across the stack to provide a cluster wide as well as fleet wide view for Autonomous DB deployment. It also leverages various NLP / NLU as well as Generative AI techniques to streamline semantic understanding of data and thus the overall user experience.

Fleet Insights aggregates individual Insights reports from different systems in the same fleet (Cluster / datacenter). It helps Database Fleet Admins to maximize application resilience, performance, and security through issue prevention and resolution.

Keep track of configuration fleet-wide, identify where you are out of compliance with best practice and the most critical issues you should be addressing today, along with exactly what you need to do to prevent them. Pin-point problem root causes – Oversee Database diagnostics across the fleet, if an issue does occur, identify the root cause and resolve it as soon as possible. Explore configuration at scale – Easily see where you have differences in configuration and understand how to bring environments back in-line with each other. Analyze historical issue trends – Go beyond just monitoring current performance. Analyze historical trends and identify areas for improvement and optimization. Plan for future capacity needs and keep costs under control.
 

More info and Demo: https://blogs.oracle.com/database/post/ahf-fleet-insights

Desired Skills:

- BS/MS/PhD degree in computer science, computer engineering, applied math or related field
- 6+ years of work experience in software development, Proficiency with algorithms and data structures.
- Proficiency with coding in Python is a must.
- Experience in JavaScript, jQuery, and web development frameworks like Oracle JET, Angular or React
- NGIX, knockout, Flask.
- Excellent written and oral communication skills
- Strong interpersonal skills and willingness to be a team player as well as leadership skills
- Strong analytical skills and an independent thinker.