Obsidian Systems is proud to launch its solution to you. We dare you to try a new dynamic experience with the performance of Red Hat’s OpenShift speed and agility matched with Cloudera’s multifaceted next-generation data analytics platform for on-premise deployments.
DevOps for Data Science and Machine Learning includes applying best practice platform management with Red Hat’s OpenShift for Cloudera CDP Private Cloud and DevOps. Build, integrate, test and deploy to machine learning models and other data science tasks to improve quality, increase speed and scalability and minimise security risks.
The DevOps Process
Experiment
Data Acquisition
Business Understanding
Initial Modeling
Develop
Data Acquisition
Business Understanding
Initial Modeling
Operate
Data Acquisition
Business Understanding
Initial Modeling
The Red Hat and Cloudera MLOps Solution
Engagement Approach
Survey
Benchmark your current reality by understanding your DevOps capability for data science and machine learning. Obsidian will help you identify gaps and build a baseline for your DevOps maturity.
Strategy and Roadmap
Define the process to implement your DevOps approach for data. The process gives structure to your strategy to minimise downtime, manage quick iterations, improve development goals, and respond faster to issues.
Platform
Your unique strategic roadmap of implementation tactics will inform the platform and tools involved to achieve the implementation of your DevOps Maturity model.
Metrics
Integrate your favourite tools to monitor the DevOps process and gauge performance and maturity. Your dashboard includes visualisation and logging of the end-to-end DevOps life cycle.
Maintenance and Support
Subscribe to Obsidian Systems’ monthly retainer at affordable rates, while you focus on business value innovation. Get access to a team of skills, automation playbooks, visualisation tools, and reports to measure continuous compliance.