Platform Engineering Rules, now with AI

10/24/24 • 25 min

Platform engineering will be a key focus at KubeCon this year, with a special emphasis on AI platforms. Priyanka Sharma, executive director of the Linux Foundation, highlighted the convergence of platform engineering and AI during an interview on The New Stack Makers with Adobe’s Joseph Sandoval. KubeCon will feature talks from experts like Chen Goldberg of CoreWeave and Aparna Sinha of CapitalOne, showcasing how AI workloads will transform platform operations.
Sandoval emphasized the growing maturity of platform engineering over the past two to three years, now centered on addressing user needs. He also discussed Adobe's collaboration on CNOE, an open-source initiative for internal developer platforms. The intersection of platform engineering, Kubernetes, cloud-native technologies, and AI raises questions about scaling infrastructure management with AI, potentially improving efficiency and reducing toil for roles like SRE and DevOps. Sharma noted that reference architectures, long requested by the CNCF community, will be highlighted at the event, guiding users without dictating solutions.

Learn more from The New Stack about Kubernetes:

Cloud Native Networking as Kubernetes Starts Its Second Decade

Primer: How Kubernetes Came to Be, What It Is, and Why You Should Care

How Cloud Foundry Has Evolved With Kubernetes

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Learn more from The New Stack about Kubernetes:

Cloud Native Networking as Kubernetes Starts Its Second Decade

Primer: How Kubernetes Came to Be, What It Is, and Why You Should Care

How Cloud Foundry Has Evolved With Kubernetes

Join our community of newsletter subscribers to stay on top of the news and at the top of your game. game. https://thenewstack.io/newsletter/

Previous Episode

Data Observability: MultiCloud, GenAI Make Challenges Harder

Rohit Choudhary, co-founder and CEO of Acceldata, placed an early bet on data observability, which has proven prescient. In a New Stack Makers podcast episode, Choudhary discussed three key insights that shaped his vision: First, the exponential growth of data in enterprises, further amplified by generative AI and large language models. Second, the rise of a multicloud and multitechnology environment, with a majority of companies adopting hybrid or multiple cloud strategies. Third, a shortage of engineering talent to manage increasingly complex data systems.

As data becomes more essential across industries, challenges in data observability have intensified. Choudhary highlights the complexity of tracking where data is produced, used, and its compliance requirements, especially with the surge in unstructured data. He emphasized that data's operational role in business decisions, marketing, and operations heightens the need for better traceability. Moving forward, traceability and the ability to manage the growing volume of alerts will become areas of hyper-focus for enterprises.

Learn more from The New Stack about data observability:

What Is Data Observability and Why Does It Matter?

The Looming Crisis in the Observability Market

The Growth of Observability Data Is Out of Control!

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Next Episode

Why Beginning Developers Love Python

Deb Nicholson, executive director of the Python Software Foundation, attributes Python’s popularity to its minimal syntactical complexity, which appeals to beginners and seasoned developers alike. Python allows flexibility for those exploring coding without a specific focus, unlike purpose-built languages. Since her leadership began in 2022, Nicholson has overseen the foundation’s role in managing Python’s fiscal and operational needs, including the package index that hosts over half a million add-ons. This open ecosystem enables contributions from large corporations and individual developers while demanding vigilant security measures.

Nicholson envisions Python's future advancements, particularly in improving multi-threading and expanding usage in mobile development. She acknowledges Python’s critical role in AI and data science but remains cautious about AI’s pervasive application, likening it to a temporary trend. On open source in the enterprise, Nicholson critiques companies profiting from open-source tools while adopting restrictive licenses. Instead, she admires models like Red Hat’s, which leverage open source sustainably without compromising accessibility or innovation.

Learn more from The New Stack about Python:

Python 3.13: Blazing New Trails in Performance and Scale

The Top 5 Python Packages and What They Do

Python Mulls a Change in Version Numbering

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