Episode 2

Microservices and Orchestration with Kubernetes and Docker

This month we’re talking with Shane Castle and Gui Martins about Kubernetes: how it’s enabling the effective orchestration and management of cloud-first microservices and architectures like service mesh, and what that means for your business.

Listen to the Episode

Listen to the Episode
  • 0:30 – Jeff Zado introduces the show and the topic of Serverless (PaaS) vs Microservices
  • 2:30 – Dave Judd introduces himself
  • 2:55 – Dave discusses what is meant by “serverless”
  • 3:30 – Dave discusses serverless vs. microservices / Kubernetes and when you might choose one architecture over another
  • 6:30 – Dave discusses what’s motivating a transition to serverless, including multiple language support and consumption based pricing
  • 7:00 – Dave discusses how the three major cloud vendors (Microsoft Azure, Google Cloud, AWS) are following similar patterns
  • 8:00 – Dave talks about auto-scaling on serverless platforms and global high availability that comes with PaaS
  • 10:00 – Dave compares Serverless Functions to Microservices
  • 13:20 – Dave talks about how serverless allows you to model your systems to how things actually behave in the real-world, with event-driven / reactive-based architecture
  • 14:00 – Dave discusses serverless in Azure, specifically Functions, Event Grid (and the Cloud Event Schema), and Cosmos DB
  • 16:30 – Dave talks about managing state in a serverless world
  • 18:00 – Dave, Jeff and Nick talk about fanning out thousands of functions to do massive processing in parallel, scaling just the pieces that are needed at a given time as opposed to scaling an entire application with a serverless orchestrator, granular tweaking of performance and cost
  • 20:45 – Jeff and Dave talk about performance improvements in serverless runtimes and relative speeds in spinning up functions
  • 22:00 – Dave talks about vendor lock-in and whether its potentially illusory in some cases
  • 23:00 – Nick and Dave talk about how serverless also enables cross-language collaboration on developer teams and the benefits for engineering managers
  • 24:30 – Dave compares serverless offerings on Azure to AWS and Google Cloud
  • 25:30 – Dave talks about how serverless can be used not only for new greenfield applications but also to augment older legacy or brownfield monolithic application
  • 27:30 – Dave discusses some examples of implementing serverless in the real world, specifically in the fintech sector
  • 30:32 – Jeff talks about how the example of the implementation for the fintech company enabled innovation with even better profitability and more calculated costs
  • 32:50 – Nick asks Dave to provide a reality check and Dave discusses some issues to consider when moving to a serverless architecture – because everything’s a function, there’s more to manage and consider re deployment of functions that work as a group, versioning and security
  • 35:28 – Dave also talks about observability, logging, metrics and analytics and how important that is in a serverless architecture to ensure application resiliency and debug issues that might arise

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