cloud/edge computing

Joining us this week is Erica Windisch, Founder/CTO at IOpipe, a high fidelity metrics and monitoring service which allows you to see inside AWS Lambda functions for better insights into the daily operations and development of severless applications.       

 Highlights
•	Intro of AWS Lambda and IOpipe 
•	Discussion of Observability and Opaqueness of Serverless 
•	Edge Computing Definition and Vision 
•	End of Operating Systems and Abstraction Boundaries

Erica Windisch on Observability of Serverless, Edge Computing, and Abstraction Boundaries

How do you keep data safe? How does licensing work in the cloud ecosystem? What does it take to maintain a successful cloud platform? Tune in to Episode 1 of our audio series with Kumar Chinnakali, our cloud specialist, to seek answers to these key questions and many more. 
  
Kumar Chinnakali is a seasoned professional with over a decade of experience. He is passionate about merging Business and Cloud Computing, Artificial Intelligence, Internet of Things, Blockchain, Big Data, Automation, Voice Assistants, Collaborative Tech, Quantum, Edge Computing technologies together in a journey of Digital Transformation to achieve business drivers like agility and system resiliency.  

He enjoys working across a wide range of communities and stakeholders towards ushering in the new era of cloud, big data, AI and technological efficiency.

Episode 1: Understanding Cloud with Kumar Chinnakali

Joining us this week is Jordan Rinke, Principal Software Engineer, Walmart Labs. Jordan offers his views on various technologies and open source projects as it relates to the scale and connectivity issues faced by Walmart.  

 Highlights
•	Technical Gaps in Kubernetes Technologies and Installer Issues
•	Tooling and Orchestration Focus for Kubernetes and Other Tools
•	Core OS Model for Bootstrapping Kubernetes
•	Discussion on Immutability: Middle Ground for Jordan
•	Edge Computing – Emerging markets lead to disconnected edge sites
•	Data location challenges in edge and cloud services 
•	Skills issues for medium sized clusters

Jordan Rinke on Open Source, Kubernetes, & Edge Computing

Institute of Product Leadership’s School of Data Science was created to address one of the most important challenges that businesses are facing today: to make sense of the abundant data that organizations grapple with. Exceeding the need for Data Scientists is the need for Data Science Professionals. These are people with cross-functional skills who are able to work in different areas of the data lifecycle.

We offer professional certificate courses in applied data science. Our programs are designed for working professionals who are keen on building their careers in data science and enhancing their skill set to command a premium in their compensation. Our programs (PGP in Advanced Data Science- PGPADS and International Certificate Program in Data Science-ICDS) are industry focused, developed in collaboration with our industry council, which caters to the needs of the corporate. We offer internship projects, to ensure that our programs give you exposure to real-world data science problems and build demonstrable assets that becomes your career assets and help you successfully transition into data science roles.

Episode 1: Understanding Cloud with Kumar Chinnakali

IPL School of Data Science

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