The New Stack Podcast5 Okt 2023

At Run Time: Driving Outcomes with a Platform Engineering Team

Platform engineering is gaining prominence due to the need for faster application deployment, which directly impacts business velocity. Valentina Alaria, Senior Director of Product at VMware, emphasizes that not all organizations pursuing platform engineering have the same goals, context, or pain points. They tailor solutions to each organization's specific needs. Some focus on rapid onboarding for junior developers, while others aim to reduce complexity, friction, and support larger development teams with fewer operational staff.

Platform engineering aims to streamline collaboration between developers and operations engineers. Developers want portable code and the ability to focus on coding without worrying about production requirements. Operations engineers and platform teams seek a seamless environment for deploying applications in different contexts.

Successful platform engineering initiatives involve strong collaboration models, fostering a cooperative approach rather than a siloed one. The goal is to create applications and value for the organization by facilitating effective interaction between developers and operations engineers.

This podcast episode, hosted by Alex Williams of TNS, also delves into VMware Tanzu's latest tools for supporting platform engineering.

Learn more from The New Stack about platform engineering and VMware Tanzu:

Platform Engineering Overview, News and Trends

6 Patterns for Platform Engineering Success

A Guide to Open Source Platform Engineering

Streamline Platform Engineering with Kubernetes

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

A third option is emerging in the fight over AI and your data

The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect t...

23 Sep 30min

Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bo...

7 Sep 26min

How to find failures without drowning in tracing data

Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce d...

3 Sep 31min

Why CPUs still matter in the age of AI agents

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Pate...

11 Aug 26min

Why Doist Says Less AI Can Deliver More

Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subt...

31 Jul 35min

Why your company should (try to) build its own AI SRE

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human ...

30 Jul 30min

Nvidia

In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them prac...

23 Jul 32min

Meet Brain, the AI that decides when Azure is officially down

In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasi...

14 Jul 19min