In this episode, Martin Van Son provides a simplified definition of platforms in this context: a way for internal users to request anything from environments to deployments. The platform engineering comes in because someone needs to own stitching together and automating away all the complexity involved to complete that action. In the end, both the consumers and the creators save time. Furthermore, platform engineers have an opportunity to encode best practices and cost saving measures that are often forgotten when users are left to their own devices. 

https://youtu.be/90AEMOQSEC4

Find full show notes: https://www.pagerduty.com/resources/podcast/

In this episode, Heather Hinton describes how security teams can evolve away from spending cycles on “silly little jobs” and scouring multiple sources to try to identify the kinds of unplanned interrupt work that needs to be dealth with urgently. Instead, they can complete projects faster and take on more because on-call rotations are spent getting work done (with the occasional interruption) instead of “seeking” for the interrupt work. We also discuss how this fits in with encouraging broader employees to participate in security hygiene practices.

Watch the interview: https://youtu.be/l9mjgXD0564

Find full show notes of episodes: https://www.pagerduty.com/resources/podcast/

“AIOps” is a term some love to hate, but what makes it useful? In this episode, Heath Newburn breaks down the three things to look for in an AIOps solution: reduce noise, create context, and reduce toil. He also explains the challenges with domain-specific approaches, versus domain-agnostic approaches to AIOps. But even within that approach, Heath warns of “gotchas” in rules “tech debt”, data formats, and overall long implementation times. 

https://youtu.be/mzaqO-lOIfs

Find the full show notes at: https://www.pagerduty.com/resources/podcast/

Long gone are the days when data is batch loaded into a data warehouse for business intelligence reports that are looked at periodically and if something is broken, a few internal people would have to wait. Today, data pipelines are “infinitely more complicated”, with more sources from cloud services to on premises systems, and supporting data applications that are critical parts of a business’ ecosystem. 

In this episode, Dormain Drewitz sits down with Manuraj Rajasekharan, Senior Director of Analytics and Data Engineering at PagerDuty, and James Zhao, Senior Product Manager at Snowflake to discuss how DataOps has evolved and how it will be essential to support large language models (LLMs) in production. 

https://youtu.be/I5TzvstL8tM

https://medium.com/@ravikuma2003/unlocking-the-potential-of-snowflake-alerts-pagerduty-operations-cloud-enhancing-data-operations-66511a25b8af

Generative AI is a rapidly-evolving ecosystem with a lot of attention. In this episode, Dormain Drewitz asks Sriram Subramanian about the main challenges to responsibly implement generative AI, including content that’s harmful, inaccurate or violates privacy or security standards. Sriram discusses Microsoft’s 6 tenets to responsible generative AI, as well as the notion of shared responsibility between platform providers and foundational LLMs and the developers and data engineers building on top. Sriram also answers questions about where to get started safely with generative AI and shares his framework for identifying opportunities to add value.

A software engineer, a data scientist, and a product manager walk into a generative AI project… Using technology that didn’t exist a year ago, they identify a customer pain point they might be able to solve, build on teammates’ experience with building AI features, and test how to feed inputs and constrain outputs into something useful. Hear the full conversation here.

https://youtu.be/2mEVY6rmX3M 

Read the article referred to in the episode here: https://thenewstack.io/llms-and-incident-response-it-starts-with-summarization/

In this episode, Hadijah Creary breaks down what Customer Service teams are versus Customer Success teams. What do they care about? How can they each get more proactive to improve the overall customer experience? And why is it PagerDuty Customer Service Operations and not Customer Success Operations?

https://youtu.be/ve1RT4a_Udo

In this, the inaugural episode of “The Unplanned Show”, Dormain talks to Damon Edwards about the “capacity conundrum” where everyone is working so hard, but everything takes too long and costs too much. We talk about the “coordination overhead” costs of getting unplanned work done, how generative AI is both adding complexity and offers to accelerate automating as much as you can, and four steps to creating capacity.

https://www.youtube.com/watch?v=UYjx49Sz1CI&t